The Wire

Real-time updates from ANZ tech sales

8 days ago
News

AI coding bills hit $920 monthly per engineer, 10x spread between low and high users

## The Numbers Larridin, an a16z-backed AI measurement platform, published benchmark data tracking what enterprises actually spend on AI coding tools per engineer. The sample: engineers who merged code and drew billed AI spend across four weeks ending August 2025. Median weekly spend: $213 ($920 monthly). 90th percentile: $911 weekly. That is a 10x spread within the same organisation, using the same tools, at the same prices. Annualise the high end and you are near $47,000 per engineer in tokens alone. For a 100-person engineering team, the gap between your 25th percentile and 90th percentile users is a seven-figure line item that most finance teams cannot track today, because it is scattered across provider invoices, corporate cards, and personal subscriptions. ## Same Spend, Different Output The second finding matters more. Larridin split engineers by how much of their shipped code was AI-attributed. Both cohorts came from the same company, same tools, same baseline spend of roughly $170 weekly. The gap between their curves is fluency, not budget. Deeply AI-native engineers (79% AI-attributed output): reached 11.8x productivity at around $1,300 weekly spend and had not hit a ceiling. At equal spend, this group shipped roughly 2x what partial adopters shipped. Partially AI-native (37% AI-attributed): saw real returns, but marginal payoff dropped by half once spend passed $600 weekly. Low-AI engineers (15% or less AI-attributed): topped out around 1.9x output and stayed flat across a 20x spend range, from $21 to $421 weekly. Extra dollars bought activity, not output. Practical read for 2027 budgets: more budget converts to output only where fluency already exists. There is no universal ideal cap. Track your own team's ROI curve and set review triggers where it levels off. ## What This Means for Sales Orgs If your engineering team shows this kind of spend variation and output dispersion, your revenue org probably does too. AI SDR tools, email assistants, conversation intelligence platforms: same pattern. High-fluency reps extract more from the same tooling budget. The comp conversation shifts when you can connect AI spend to output per rep. If your top 10% of AEs are drawing $500 monthly in AI tool costs and closing 40% more pipeline than the median, that is not wasteful spend. If your bottom quartile is paying for seats they barely use, that is budget you can reallocate or kill. Larridin sells four products around one question: what is your AI spend producing? Spend Intelligence tracks token usage and agent costs. AI Impact connects team spend to output. Developer Intelligence ties engineering performance to AI tool use. Workflow Intelligence maps repeated work for automation candidates. The platform launched in 2024, raised $17 million seed from a16z, Bloomberg Beta, Gradient Ventures, and others. Founding team is experienced: CEO Russell Fradin previously built Dynamic Signal, Adify, and comScore. Current team sits around 20 people, roughly four sellers, tens of customers. Early enterprise motion, US-focused, no visible ANZ presence yet. Gainsight used Larridin to map internal AI adoption before buying its first enterprise LLM contract. The insight: you cannot procurement-plan what you cannot measure. Worth noting: output here is not lines of code. Each merged pull request is scored by model-assessed complexity, discounted for low quality and missing tests, scaled by code churn. Larridin flags its own limits, which is rare in this category. The relationships are associational: high-output engineers may spend more because they ship more, not the other way around. ## The Budget Reality If you are setting 2027 AI budgets without usage and output data, you are guessing. The median enterprise cannot tell you which teams use which AI tools, what those tools cost per person, or whether the spend correlates with any business outcome. Larridin is built to answer those questions before your next board deck. Agent spend is the fastest-growing and least-understood line in most AI budgets. It does not map to a seat or a person, it runs without oversight, and it scales independently of headcount. Finance teams are flying blind. This is the category that fixes that.

SaaStr
9 days ago
News

Gorgias publishes open-source AI eval across 18 competitors, loses on some metrics

## Gorgias publishes open-source AI eval across 18 competitors, loses on some metrics Gorgias, the $70M ARR AI customer service platform for ecommerce, just published detailed competitive benchmarks showing where it wins and where it does not. The company ran 8,356 live customer conversations across 18 AI CX vendors, including Zendesk, Intercom, Yuma, and Tidio. They open-sourced the test harness and methodology. Gorgias ranked first in support quality but published the categories where competitors outperformed them. That matters because most SaaS vendors publish selective case studies or cherry-picked metrics. Gorgias built the eval framework, ran it against production traffic, and showed their work. The tests measured response accuracy, resolution time, and customer satisfaction across real ecommerce support scenarios. For sales teams evaluating AI CX platforms, this approach changes the conversation. Instead of asking vendors for proof points, buyers can review the methodology and run their own tests. Some enterprise accounts are already using AI agents to build vendor shortlists and run technical evaluations without involving sales teams until late stage. **What this means for ANZ sales teams:** Gorgias operates about 30 quota-carrying reps globally and is targeting $200M ARR by 2027, up from roughly $70M in 2024. That growth plan likely includes ANZ expansion, though no confirmed local office exists yet. For AEs selling into ecommerce accounts, understanding how platforms like Gorgias position against Zendesk, Intercom, and Shopify-native tools matters. The published eval data gives competitive intelligence that used to require discovery calls or back-channel references. The broader pattern: buyers now expect open benchmarks, especially for AI products where performance claims are easy to make and hard to verify. If your product team is not publishing similar evals, your competitors will, and the buyer will assume you are hiding something. Gorgias raised roughly $100M total funding and serves thousands of ecommerce brands, with strong penetration in top Shopify merchants. The company has around 450 to 500 employees globally.

SaaStr
10 days ago
News

GitLab billings up 24%, revenue recognition shift hits Q3 guide

GitLab reported Q2 FY27 revenue of $286.3M, up 21%, and beat consensus by $13M. Calculated billings grew 24%, double the prior quarter's 12%. Gross bookings hit a company record. Then the company guided Q3 revenue at $281-283M, below the $286.3M it just printed. The cause is revenue recognition mechanics, not demand. GitLab is moving customers from self-managed licenses to Flex contracts, which spreads revenue recognition across the contract term instead of recognising 15% upfront in quarter one. For every $50M of self-managed contracts that convert to Flex in FY27, about $5M of revenue shifts out of the fiscal year. Maximum estimated impact: $13M for the full year. Bookings, billings, and cash collection are unchanged. Only GAAP timing moves. The CFO has not incorporated Flex conversion into the guide yet, so faster adoption means a better business with a worse revenue line until the ratable quarters catch up. Flex itself did more than $20M from 130+ customers in six weeks. The product bundles Premium and Ultimate seats, GitLab Credits for agent consumption, and new capabilities as they ship. Customers reshape the mix monthly without contract amendments. Usage above the commitment is billed in the month it happens. GitLab wants Flex to become the default transaction model. Paid Consumption Run Rate, the metric GitLab told investors to track instead of revenue, exited Q1 at $15M and exited Q2 above $40M. The target is more than $100M by fiscal year end. Duo Agent Platform paid consumption alone grew about 50% sequentially. For context, GitLab cut about 14% of its workforce in Q1 FY27, roughly 350 people, exited 22 countries, and removed up to three management layers. The company has about 153 employees in Oceania, including 120 in Australia and 33 in New Zealand. Full-year FY27 revenue guidance now sits at $1.129-1.133B, up from $1.112-1.118B, for 18-19% growth. One note on the numbers: both the CEO and CFO said net ARR grew 42%, and it got repeated everywhere as though total ARR grew 42%. It did not. The 42% is growth in net new ARR added in the quarter versus the year-ago quarter. That is a strong number for new bookings. It is not a base growth rate.

SaaStr
11 days ago
News

Stripe AI customers hit 175% growth, 48% revenue offshore, agents now buyers

Stripe processes payments for most of the fastest-growing AI companies, which means they see actual revenue numbers. Maia Josebachvili, Stripe's Chief Revenue Officer of AI, walked through what that data shows. ## The growth numbers Stripe's top AI cohort grew 120% in 2025, then accelerated to 175% in 2026. That is the opposite of what happens in normal B2B, where growth rates decay as you scale. Cursor hit $1B ARR in under two years, then reached $2B three months later. Anthropic went from $1B to $30B run rate in about two years. Consumer side: Stripe Link data shows 14 million people now buying AI products, up from 6 million a year ago. Top buyers spend $371 on AI annually, more than the average American spends on internet, streaming, and phone service combined. ## The GTM playbook changed Time from idea to first paying customer on Replit and Vercel is now under six weeks. AI companies hit 42 countries in year one and 120 by year three. The old model was win home market, reach scale, then hire a GM in Dublin. New model: 48% of revenue comes from outside the home market by year three. Gamma did $100M in year one, most of it outside the US. Localized pricing drives 18% higher cross-border revenue. Adding one local payment method lifts conversion 7%. If your customer in Brazil cannot pay in reais with Pix, you are losing sales there. ## Pricing and product Two in three Forbes AI50 companies now use usage-based pricing, up from under half last summer. Makes sense: the value and cost to serve vary wildly by user. One engineer runs batch agents overnight. Another user replaced Safari with ChatGPT. Same product, different usage, different value. Stripe also saw iOS app releases jump 24% month over month once agentic coding tools went mainstream. Delaware incorporations followed the same curve. The share of technical founders went up seven points in a year. ## What this means for sales teams If you are selling into AI companies, your buyers are moving faster and across more markets than traditional SaaS. They expect localized pricing, usage-based models, and global infrastructure from day one. The old enterprise sales playbook of land-and-expand by geography does not match how they are growing. For sales orgs at AI companies: international is not a phase two strategy anymore. It is a year one priority, which means different comp structures, territory design, and sales ops requirements. Stripe itself has about 254 quota-carrying reps supporting roughly $6.8B in revenue, for context on sales productivity at infrastructure scale. That is about $27M per rep, though much of that comes through self-serve and partner channels rather than direct sales motion.

SaaStr
11 days ago
News

Tax changes pushing Australian founders offshore, startup lawyers warn

Australian startup founders are moving offshore earlier in their company lifecycle to avoid capital gains tax complications, according to Richard Pringle, principal lawyer at Viridian Lawyers. "The longer they stay, the more complicated the flip-up is likely to be, and they are incentivised to go as early as possible," Pringle told SmartCompany. The issue: once a startup is generating revenue, has raised capital, and established a clear valuation, relocating becomes significantly more expensive and time-consuming due to potential CGT exposure. That means founders are weighing relocation decisions at Seed and Series A, not Series B or later. ## Why this matters for sales teams Founders relocating offshore take their hiring budgets and equity programs with them. If your startup is building a commercial team in Sydney but the founders are eyeing Singapore or Delaware, expect comp discussions to get complicated fast. The most common route is a "Delaware flip", where a new US parent company is inserted above the existing Australian entity. That structure often means sales leadership reports into a US-based exec team, even if AEs are still carrying ANZ territory. Proposed changes would replace the current 50% CGT discount for startup equity with a more complex indexation-based approach. A possible concession for qualifying startups is still being consulted on, but uncertainty is driving founders to consider full relocations rather than just offshore incorporation. ## Market context Singapore is repeatedly mentioned as the easiest destination for Australian founders, with simpler tax treatment and stronger startup incentives. The US remains attractive for venture-backed companies seeking institutional capital. Worth noting: Australian residents are taxed on worldwide income, and company residency can remain Australian even when founders or operations move offshore if control is still exercised from Australia. That means "moving overseas" does not automatically eliminate tax exposure, which is why founders are considering full relocations. For sales professionals evaluating startup offers, ask where the company is incorporated and where the leadership team is actually based. Equity value, comp structure, and career progression all shift when founders relocate, especially if the ANZ entity becomes a subsidiary rather than the primary commercial vehicle.

SmartCompany
11 days ago
News

RentBetter raises $5m, team of 13 now hiring for growth

## RentBetter raises $5m, team of 13 now hiring for growth Sydney proptech RentBetter closed $5 million from EVP to scale its landlord self-management platform. The company has 13 staff and is profitable, but founder Jeremy Goldschmidt says the capital will fund hiring and AI development. RentBetter sells software that lets landlords manage rental properties without agents. The pitch: cut the 5 to 10% agent fees, handle tenant screening, leases, repairs, and rent tracking yourself. Target market is Australia's 2.2 million landlords, of which 600,000 to 700,000 self-manage. Goldschmidt founded the company in 2016 while working at ANZ, initially to manage his own investment property. Previously raised $3.2 million, including a $1.9 million Series A in January 2022. Total raised now sits at about $5 million in this round alone, though older funding databases still show lower totals. ### What this means for sales hiring Small team, fresh capital, profitable baseline. That usually means controlled expansion, not a land grab. Expect selective hiring: likely a few AEs to chase the 600,000-plus self-managed landlord market, possibly SDRs if they are moving upmarket to property investors or accountants. Proptech in Australia sits in an odd spot: large addressable market, but landlords are price-sensitive and the competitive set includes entrenched real estate agencies. Sales cycles can be long if you are displacing an existing agent relationship, short if you are catching someone mid-frustration. No comp details disclosed. No revenue or ARR figures either. EVP partner Justin Lipman joining the board suggests they want operational discipline, not just growth at any cost. If you are looking at proptech sales roles, ask: what does the GTM motion look like? Are we selling to mum-and-dad landlords (transactional, lower ACV) or property investors with portfolios (relationship-driven, higher LTV)? What is the commission structure when your product is explicitly about saving customers money? RentBetter says the business did not need to raise, but wanted a partner to scale faster. That is a decent position to hire from: funded but not desperate, profitable but not stagnant. Just know the numbers before you take the call.

Startup Daily
11 days ago
News

7 ANZ startups raise $274.7m: Heidi unicorn, hiring signals across tech

## The Numbers Seven ANZ startups banked $274.7 million this week, led by AI healthcare platform Heidi's $140 million Series C. The round values Heidi at $1.26 billion, making it Australia's newest unicorn. Heidi co-founders Dr Tom Kelly, Waleed Mussa, and Yu Liu started the company in 2021. The product transcribes medical appointments and generates structured case notes for clinicians to review. The fresh capital funds expansion beyond transcription into what Kelly calls a "fully-fledged AI partner" handling background clinical work. Blackbird led the round, with Phoenix Court, Point72 Private Investments, and Headline participating. General Catalyst added $335 million in non-equity growth funding through its Customer Value Fund. ## The Other Six The remaining six raises totalled $134.7 million. Companies included Amber (clean energy), HEO Robotics (space tech), Kinoxis Therapeutics (biotech), OpenDebt (fintech), RentBetter (proptech), and Medcast (medical education). Specific round sizes and stages were not disclosed for most. ## What It Means for Sales Large funding rounds signal GTM buildout. Series C companies like Heidi typically hire enterprise AEs, expand into new segments, and staff customer success teams to support growth targets investors expect post-raise. Early-stage raises in the $10-30m range often mean first proper sales hires: founding AEs, SDR leads, and RevOps to build repeatable process. Worth watching if any of these seven announce role openings in the next 90 days. The deal flow also confirms capital is still moving in ANZ tech, concentrated in AI and early-stage bets. That usually correlates with sales hiring across the funded cohort, especially in enterprise software and B2B platforms chasing ARR growth. No comp data or headcount plans disclosed yet. If you are tracking Series B/C companies for your next move, Heidi just became significantly better capitalised to compete for talent and scale teams.

Startup Daily
11 days ago
News

Medcast raises $5.4m for clinical AI, hiring tech and sales roles

## The Round Medcast, a Sydney-based medical education company, raised $5.4 million led by Best Practice Software. The round was oversubscribed and included private high-net-worth investors. Best Practice CTO Jessica White joined the board as part of the deal. Best Practice is 49% owned by Sonic Healthcare, which matters because it gives Medcast a distribution channel into GP practice management software. That is not a marketing partnership: it is direct access to the software that GPs use every day. ## What They Actually Do Medcast launched MedLuma in March 2026, positioning it as Australian-built clinical AI for general practice. The product delivers real-time answers to clinical questions using Australian guidelines and medical sources, with citations linking back to original material. Clinicians can earn CPD at the point of care. The company has been around since 2013, founded by CEO Dr Stephen Barnett and CPO Justin Lewis. They claim 100,000 health professionals use their platform nationally, with offices in Sydney and Bowral. ## The Sales Angle Medcast sits at the intersection of clinical education, workflow software, and AI search. Likely buyers: GP networks, healthcare software vendors, health services embedding education into care workflows. The Best Practice partnership is the key distribution play. Instead of cold-calling clinics, they are integrating into software that GPs already use. That changes the sales motion from enterprise outreach to product-led growth through an existing channel. The company is already talking about a Series A in 2027, which suggests this is a growth-stage platform, not an experiment. They are hiring across tech and clinical teams to scale MedLuma. ## Market Context Healthcare AI is seeing significant investment, particularly in clinical decision support and medical education. The differentiation here is Australian-specific content and onshore data, which matters for compliance and local practice guidelines. Competitive set includes other clinical decision-support and medical education platforms, but the Best Practice partnership gives Medcast a meaningful edge in distribution. Prior company data placed revenue around $7.4 million, though that figure is not company-confirmed and should be treated cautiously. ## What This Means If you are looking at healthcare tech sales roles, this is a space where AI adoption is accelerating. The sales cycle involves education providers, health services, and software vendors. The comp structure for healthcare tech AE roles typically sits between pure SaaS and medical device sales. Medcast is hiring. They did not post numbers, but if you are looking at ANZ healthcare AI sales roles, this is worth tracking.

Startup Daily
12 days ago
News

SaaStr AI agent books 600 meetings from 17,000 chats, 3 humans running it

## The setup SaaStr runs with 3 humans and an AI agent that has had 17,000 conversations in 12 months, booked about 600 meetings, and contributed to a 60% increase in new inbound business. The agent lives on their sponsor page, where prospects are already evaluating a roughly $90k purchase. Thirteen months ago, that page had a long contact form. It went to Amelia Ibarra, got round-robined, and someone replied within a day with what she calls "the worst email on planet Earth": a form letter asking to book a time. The prospect reached out, and the first thing back was templated. The AI agent replaced that. It answers questions in real time, qualifies on budget and intent, and books the meeting on the spot. No handoff, no lag. ## What it actually does The agent qualifies on: - Why they want to sponsor - Budget - What they are buying for: lead gen, brand, or speaking - Which competitors they are watching Every answer feeds the first human call. When the meeting starts, the rep opens with what the agent captured. No repeated discovery. A real example from their team: "You said you were interested in coffee and newsletters. Coffee sold out, but let me walk you through newsletters and what else we have." Some of those 17,000 conversations were noise. That is fine. Meetings and closed deals are the numbers that matter, and real logos came through this path, including OpenRouter. ## Who this works for SaaStr's buyers are tech-centric and increasingly AI-native. They do discovery on their own, talk to the agent, book their own meeting, and close. For those buyers, seeing an agent in the sales process is part of the evaluation. If you sell yourself as a top AI event and the buying experience is a PDF and a two-day wait, they notice. A non-tech buyer who is happy scheduling a call two weeks out may not care. Lemkin is clear: know your buyer before you assume this transfers. The company kept the self-serve download option. A real share of buyers will not talk to an avatar. Some find it intimidating. Most just want the packages and pricing without a conversation yet. ## The self-serve path For a year, self-serve was a Google Slides download. It converted worse than the agent. The fix: replace the PDF with a tokenized page on their own site. Shorter form, unique link per company, hosted on Replit. This matters because a static PDF tells you nothing after download. A page you host tells you everything. They added Microsoft Clarity for heat mapping to see what prospects actually look at. ## ANZ context SaaStr has reach in ANZ SaaS circles. A New Zealand mission to SaaStr Annual grew to 150+ attendees, with Callaghan Innovation noting a delegation representing around 85 NZ SaaS firms. The brand matters to ANZ founders and growth-stage teams, though there is no clear public evidence of a large permanent ANZ headcount. For ANZ sales teams evaluating inbound AI agents, the lesson is not "build this exact stack." It is: start with your highest-intent page, give the agent a real qualification job, let it book on the spot, and measure the full funnel. If your buyers are doing discovery on their own and expect a fast answer, this path works. If they are not, it does not.

SaaStr
12 days ago
News

Foreign buyers paying A$50m-plus for ANZ specialist SMEs

## The Pattern Foreign acquirers are buying Australian SMEs at a pace not seen in a decade. Grant Thornton's Dealtracker reports show SMEs remain the predominant acquisition targets, with many deals under A$100 million and strong overseas interest at the A$50 million mark. Foreign buyers accounted for 30% of transactions within Australia in 2025, the highest share in ten years, according to William Buck's 2026 Dealmaking Insights report. ## Who They Want Specialist businesses in technology and industrial niches are especially attractive to cross-border acquirers. US and Canadian buyers lead offshore acquisition activity, with heavy concentration in tech-related businesses. Recent deals include STRABAG's proposed purchase of WA road surfacing business KEE Surfacing, AtkinsRéalis' acquisition of defence consultancy Coras, and Metso's purchase of Newcastle industrial automation specialist MRA Automation. Sweden's AxFlow bought into water systems business Dowdens Group, France's Sia acquired transformation consultancy Seven Consulting. Kounta, an Australian POS software SME, sold to Lightspeed for about A$63 million, demonstrating the kind of mid-market valuation foreign buyers will pay for niche software assets. ## What They Are Buying CQG director Patrice Brown, whose regional Queensland environmental and planning consultancy was acquired by New Zealand-based Beca, told SmartCompany the deal gave Beca an established team and immediate market presence. "One of the things that underpinned the success of our business was reputation and relationships and looking after our clients," Brown said. "That took over 20 years for us to build. You can't just do that overnight." Acquirers are paying for what takes years to build: specialist staff, client relationships, local market knowledge, and proven delivery capability. ## What It Means for Sales Teams If you are selling for a specialist SME with recurring revenue, defensible IP, and a product that can scale into larger overseas markets, your company is potentially in play. Reuters reported that Australian companies continued to attract takeover interest from private equity and overseas investors in 2026, though many approaches were screened heavily before bids advanced. The buyer pool is competitive. The scrutiny is high. But the appetite is real, and the cheques are being written at mid-market valuations that would have seemed optimistic five years ago.

SmartCompany
13 days ago
News

Heidi hits $1.26bn valuation, raises $475m: what it means for ANZ sales

## The Numbers Heidi, the Melbourne-based healthcare AI company, raised $475 million at a $1.26 billion valuation. That is up from $465 million in October 2025 when the company closed its $65 million Series B. Total funding now sits near $575 million. For context: Heidi went from early-stage startup to unicorn in under five years. The company launched in 2019, built AI-powered clinical documentation tools, and now processes appointments for thousands of clinicians across ANZ, US, UK, and Canada. ## What This Means for Sales Teams Heidi hired Paul Williamson as Chief Revenue Officer in late 2025, signalling a shift from founder-led sales to a proper go-to-market organisation. Headcount has grown from 383 employees in February 2026 to roughly 600 now, with offices in Melbourne and Sydney. That kind of growth typically means: - Expanded sales org (SDRs, AEs, Customer Success) - Territory splits and new patches opening up - Comp packages adjusting to match scale-up benchmarks - Enterprise sales motion replacing early SMB focus Heidi competes with Abridge, Suki, Augmedix, and PatientKeeper in the ambient clinical documentation space. The market is heating up, and this funding round positions Heidi to hire aggressively. ## The Product Angle Heidi's platform records medical appointments and generates structured documents. The next phase: AI agents that handle referrals, follow-ups, and appointment prep. CEO Dr Thomas Kelly described it as a "fully-fledged AI partner" that could brief clinicians before a patient walks in. For sales teams, this matters because: - Enterprise healthcare buyers are shopping for AI tools now - The competitive landscape is shifting fast - Comp and quota structures will reflect the urgency Revenue figures are not public, but $1.26bn valuations do not happen without strong ARR growth. If you are in healthcare tech sales or considering a move, Heidi is worth tracking. The CRO hire and funding suggest they are building out the team. ## What to Watch Heidi has not published comp data or open roles publicly yet, but companies at this stage typically hire: AEs for enterprise, SDRs/BDRs for pipeline generation, Customer Success Managers for retention, and Sales Engineers for technical deals. ANZ market context: Melbourne HQ, Sydney office, expanding into international markets. If they follow the playbook, expect remote roles for US and UK territories within the next 6-12 months. Worth noting: Healthcare sales cycles are long, compliance is heavy, and quotas reflect that reality. If Heidi starts posting roles, ask about ramp periods, average deal size, and historical attainment before signing.

SmartCompany
13 days ago
News

Advanced Navigation locks $26m Polish defence deal, 200+ headcount

## The Deal Advanced Navigation signed a $26 million supply agreement with Kongsberg Defence & Aerospace to provide Boreas inertial navigation systems for Poland's counter-drone platforms. The Sydney-based company will supply hundreds of units for integration into Kongsberg's Protector C-UAS (counter-unmanned aerial system) platforms, part of a broader NOK16 billion ($2.41 billion) Polish procurement contract. Boreas uses fibre-optic gyroscopes to deliver positioning and orientation data when GPS is jammed or unavailable. The systems help weapons platforms maintain sensor alignment and track aerial threats in contested environments. The contract follows an earlier multimillion-dollar deal to supply Boreas D90 systems for Kongsberg's Protector RS4 platform. ## The Company Advanced Navigation operates in the autonomous systems and GPS-independent navigation space, serving defence, robotics, and industrial customers. Public data places headcount at roughly 200+ employees, up materially from earlier stages as the company expanded internationally. Funding history shows a well-capitalised venture profile: a 2019 Series A, 2022 Series B, and March 2026 Series C of about US$110 million, bringing total capital raised to somewhere in the US$185–250 million range depending on source coverage. Revenue estimates vary, but recent indicators suggest the low US$40 millions to around US$136 million, with FY2024 revenue reported at about A$21.85 million and negative EBITDA. That places Advanced Navigation firmly in scale-up mode rather than mature profitability. Chris Shaw is co-founder and CEO. Christopher McNamara holds the CRO role, signalling a more explicit push into revenue execution and international sales. ## What It Means The Polish contract is a commercial validation event for a company already positioned as a well-funded defence-tech supplier. It demonstrates traction in European defence procurement at a time when governments are accelerating spending on drone countermeasures and GPS-resilient systems. For sales professionals watching the ANZ defence tech sector, this is a signal that revenue scale is still catching up to capital raised. The company is manufacturing in Australia and exporting globally, which means international sales execution matters more than ever. Worth noting: the Australian Department of Defence's Global Supply Chain Program backed this deal, underscoring government support for local defence exporters breaking into NATO supply chains. The broader context: European defence budgets are expanding, drone warfare has exposed gaps in satellite-dependent systems, and Advanced Navigation is positioned to capture that demand. The question for revenue teams: can execution match the funding runway?

Startup Daily
13 days ago
News

ServiceTitan cut Podium, kept 1,000 accounts. Retention asset, not growth engine.

ServiceTitan shut off Podium's integration across roughly 1,000 shared customers after nine years. The contractors stayed. Their jobs, invoices, customer history, and technician schedules all live in ServiceTitan. Podium was the removable layer. That is what being the system of record buys you. High renewal rates. Pricing power. Net revenue retention above 110%. ServiceTitan reported $961 million in revenue, up 24% year over year. What it did not buy was faster growth. ServiceTitan grew 25% last quarter, a strong number for a vertical system of record in 2026. Snowflake grew product revenue 34% with 126% net revenue retention. Databricks crossed $7 billion ARR growing over 80%. ## Retention is defensive. Growth comes from somewhere else. Salesforce's applications business, the actual system of record for millions of sales teams globally, grew 7% last quarter in constant currency. Its data layer grew 25%. Same company, same customers, same quarter. Customers are not leaving the CRM. They are spending their incremental dollars on data platforms, AI agents, and analytics layers that sit outside the record. Podium built $100 million in AI agent ARR in under 24 months, much of it inside ServiceTitan's own customer base. Open platforms lose agent deals to specialists. Closed ones eventually lose the customer. ## What this means for sales teams If your company owns the system of record for your customers' core workflow, you have retention leverage. You can defend territory, set API terms, and control the integration perimeter. ServiceTitan's marketplace policy from June 2026 welcomes competitive partners as long as they are not using the partnership to gradually displace parts of ServiceTitan. That leverage shows up as renewal rates and net dollar retention. It does not show up as new logo growth or expansion multiples. Those come from different products, often built by the partners you just cut off. For individual sales professionals: if you are carrying quota on a system of record product, your retention numbers will be strong. Your growth comp may disappoint. The incremental budget is going to AI agents, data platforms, and analytics, not to expanding CRM seats. Owning the record is a retention asset. The growth has to come from somewhere else, and the gap between the two is widening every quarter.

SaaStr
13 days ago
News

Heidi hits $1.26bn valuation, Series C closed at $140m

## Heidi hits $1.26bn valuation, Series C closed at $140m Melbourne clinical notes startup Heidi closed a $140m Series C led by Blackbird, with existing investors Phoenix Court, Point72 Private Investments, and Headline participating. The round values Heidi at $1.26bn, nearly double its $703m valuation from October 2025. Separate deal: General Catalyst's Customer Value Fund led a $335m growth investment to fund sales and expansion. Combined capital: $475m. Heidi launched in February 2024. The AI clinical scribe has been used in over 20 million patient interactions across 190 countries, with strong adoption in the US, UK, Canada, and Australia. The company processes 2.8 million clinical notes per week. For context: Heidi raised a $98m Series B in October 2025 at $703m valuation. Before that, a $27m Series A top-up in March 2025, a $10m Series A in 2023, and a $5m seed in 2021 led by Blackbird. Total raised to date: over $600m across 30 months. ### What this means for sales teams Series C at this velocity (valuation doubled in 11 months) typically signals aggressive hiring. Growth investment earmarked for sales and expansion suggests headcount will scale across US, UK, Canada, and ANZ markets. Heidi's customer base spans healthcare systems, which means enterprise AE and AM roles, likely mid-market and enterprise segments. No public sales headcount or CRO details available yet. Watch for AE, SDR, and sales ops hiring in Melbourne (HQ), plus likely US and UK offices given market traction. Heidi won Startup Daily's 2026 Scaleup of the Year and AI Gamechanger awards. Chief medical officer Dr Simon Kos noted the company is already the world's largest scribe by volume. That scale, plus $475m in fresh capital, means this is a growth story with real pipeline behind it. For sales professionals: if you have sold into healthcare systems or enterprise SaaS in compliance-heavy verticals, this is one to watch. Comp details not public yet, but unicorn-stage startups with this funding velocity typically offer competitive OTEs for enterprise roles.

Startup Daily
14 days ago
News

OpenDebt raises $2m for AI debt recovery, no sales headcount disclosed

Sydney-based OpenDebt has raised $2 million in pre-seed funding from Blackbird Ventures and Antler. The fintech builds AI agents that handle debt collection conversations autonomously, targeting compliance-sensitive recovery work for lenders and collection agencies. CEO Norman Yan, who spent seven years in data and AI at Westpac, founded the company with CTO Jonas Tischer 12 months ago. The funding will support expansion of the Sydney engineering team and early partnership exploration in the United States. Public detail on revenue is not available, which is typical for early-stage private startups. The business is in its earliest commercial phase, with deployments at Australian lenders and at least one national collection agency already using autonomous agents for conversations. No sales headcount or comp structure has been disclosed. For context, collections manager salaries in Australia typically range from $90k to $130k base, with senior roles reaching $150k-plus in metro markets. Sales roles in debt recovery software often carry 60/40 or 70/30 base-to-commission splits, though comp transparency in the collections software space remains patchy. OpenDebt's positioning is compliance-first: the AI agents disclose they are AI from the start and route hardship cases to trained people. The company is targeting high-volume, low-value accounts where traditional collection economics do not work, including BNPL, payday loans, utilities, and credit card debts. The ANZ collections and debt recovery software market includes players like CollectDebt and YesAI, alongside broader CRM collections platforms. OpenDebt's go-to-market strategy and sales structure will matter as it scales: AI-native tools in regulated sectors typically require enterprise AE teams with compliance and fintech experience, not just product-led growth. Worth noting: Yan says US household debt in delinquency tops $1 trillion, which explains the early partnership focus there. Whether that translates to US-based sales hires or remote ANZ teams covering offshore accounts is not yet public.

Startup Daily
14 days ago
News

Firmus targeting A$7bn ASX float, zero revenue reported

## The Deal Firmus Technologies is targeting an October 22 ASX listing with a A$7 billion capital raise, potentially A$7.7 billion with additional share issuance. Institutional bidding runs October 6-7. Retail opens October 12-19. Prospectus drops October 8. Co-CEOs Oliver Curtis and Tim Rosenfield are running roadshows in Sydney and Melbourne this week. ## What Firmus Actually Does Firmus builds AI data centres using immersion cooling and NVIDIA infrastructure. Founded 2019 in Sydney. Current operations in Australia and Singapore, with projects under way in Indonesia and Malaysia. This is not a software play. This is capital-intensive infrastructure competing with NextDC, the sold AirTrunk (exited for $20bn), and NASDAQ-listed SharonAI. ## The Numbers That Matter Tracxn lists 105 employees as of June 2026. Other sources place headcount at 51-100. That is lean for the scale of capital deployed. Funding to date: US$10 billion debt facility (Blackstone, February 2026), US$505 million equity round at US$5.5bn valuation (April 2026), US$2 billion equity injection (August 2026). Investors include Blackstone, Coatue, NVIDIA, Jane Street. August valuation: US$10.5 billion (A$15bn). Current float target implies they are raising at a discount to that mark. ## What This Means for Sales Teams This is not an SDR-led motion. Firmus sells to hyperscalers, AI-native enterprises, and strategic infrastructure partners across APAC. Deal cycles are long, contracts are large, and the team is small relative to capital. If you are tracking ANZ tech hiring, Firmus is not opening an SDR floor. They are hiring infrastructure, operations, and strategic partnership roles. Worth noting: the company tried to float earlier this year and pulled back due to lack of investor interest. The AI infrastructure story got more compelling, or the valuation got more realistic. Possibly both. ## The Wildcard Curtis is a convicted insider trader (2016). That is public record. Institutional investors are aware. Whether that affects the float remains to be seen. ## What to Watch Prospectus lands October 8. Look for: revenue run rate (if any), contracted pipeline, facility completion timelines, and customer concentration. This is a bet on AI infrastructure demand in APAC. The company is still building the facilities that will generate the revenue that justifies the valuation.

Startup Daily
14 days ago
News

Why joining a flat-growth unicorn beats another AI startup, compensation breakdown

## The Math on Flat Growth There are roughly 1,600 unicorns worldwide, many minted in 2021-2022, and a significant portion are not growing anymore. They are not shrinking either. They are stuck at 0-10% growth, which sounds like a dead-end career move until you run the numbers. A $150m ARR B2B company with 88% gross revenue retention (standard for mid-market) loses $18m in ARR annually through churn, downgrades, and contraction. To print 0% growth, that company needs to close $18m in new and expansion ARR every year. At a $150k average deal size, that is 120 new logos plus expansion. That requires 30-50 quota-carrying reps, a full marketing funnel, SEs, CS fighting for renewals, and product shipping enough to keep customers from walking. Do nothing and that $150m becomes $123m in four quarters. The board runs a process. You are out. ## Why This Beats Another AI Startup **The comp is real cash.** The 60-person AI company at $8m ARR growing 4x pays you in equity and belief. The $150m flat-growth company has $150m of actual revenue, is often at or near breakeven after 2023-2024 cuts, and can pay cash comp without three approvals. Base, bonus, team budget, and a brand that means something in the category. **Your playbook still works.** At an AI-native company growing 300%, everything you learned between 2012 and 2022 is getting questioned weekly. Comp plans, SDR models, pricing units, whether you need reps at all. At a $150m company growing 3%, the answer is: run the playbook. Territory design, pipeline coverage, real enablement, pricing changes that add 4 points of expansion, fixing onboarding gaps. An exec with 15 years carrying a bag can do all of that on day one. **The equity is underwater, so price on cash.** A company that raised at $1.5bn in 2021 and is flat at $150m ARR is not worth $1.5bn. It might be worth $450-750m. There is a preference stack, possibly participating preferred or a ratchet. Treat the equity as a lottery ticket you did not pay for. Exception: if the company has been recapped or is PE-owned with a fresh option pool at a real strike price against cash flow, the equity might matter. Ask that on the first call, not the fifth. ## The Diligence Questions Flat is one bad quarter from down. Down means cuts, a PE process, your team getting halved, and quarters spent in a data room instead of with customers. Before signing: - **What is gross revenue retention, not net?** Net retention hides everything. If GRR is 82%, you are plugging a leak, not running a team. - **What is growth by cohort and segment?** Sometimes flat means one segment growing 25% and another falling off a cliff. That is a much better job because you know where to point. - **Is the company cash flow positive?** If yes, you have time. If no, you have four to six quarters before someone makes decisions for you. ## The ANZ Angle Most of these opportunities sit in the U.S., where 806 of the global unicorn count lives according to Hurun and CB Insights-style tallies. For ANZ sales professionals, the implication is still relevant: global late-stage startups are increasingly operating with slower revenue growth, which means more experienced GTM hires, fewer junior openings, and a preference for operators who can sell efficiency, consolidation, and retention over expansion. Hurun's 2026 index shows 215 AI unicorns accounting for 13.4% of the count but 36% of total value, which means budget is clustering around AI-led platforms rather than broad-based SaaS growth. If you are looking at a flat-growth opportunity, expect tighter hiring, more selective quota capacity, and heavy emphasis on efficiency metrics. Flat growth is not a failure. It is a different game with different economics. For the right operator, it might be the better bet.

SaaStr
14 days ago
News

Amber raises $78.5m Series E, hiring AEs for European expansion

## Amber raises $78.5m Series E, hiring AEs for European expansion Amber Electric closed a $78.5m Series E led by Morgan Stanley Investment Management's 1GT climate fund. The Sydney-based energy flexibility platform is using the capital to hire sales and expand into Europe, with active Account Executive roles listed for BeNeLux and the Nordics. The raise brings Amber's total disclosed equity to $209m. Previous backers include Square Peg Capital, Jungle Ventures, Virescent Ventures and Startmate. ETF Partners, Innovation Victoria and E.ON also participated in this round. Founded in 2017 by Chris Thompson and Dan Adams, Amber sells a household energy platform that optimises when customers store and use power. In Australia, the company supports 40,000 customers with roughly 164 employees and estimated annual revenue of $37.9m. Headcount grew 32% last year, consistent with expansion mode. ### What this means for sales Amber is scaling regionally rather than building a large centralised enterprise sales org. Current job listings show Account Executive openings in specific European markets, suggesting a territory-based go-to-market approach. The company is not running mass SDR hiring: this is targeted AE expansion for market entry. The Series E timing is classic: Amber proved the model in Australia, secured strategic distribution through E.ON in Europe, and now needs boots on the ground to convert partnerships into revenue. That typically means 2-3 AEs per market to start, ramping as territories prove out. For sales professionals, this is early European expansion. That means building the playbook, not executing someone else's. Expect longer sales cycles, customer education and market development work. The upside: you are defining the territory and comp structure before it gets optimised into someone else's quota. Amber competes with retail energy providers and emerging flexibility platforms. The model is household energy optimisation: buying cheap, selling back when prices spike. It is B2C at scale, not enterprise, which means different sales motion and metrics. Co-CEO Chris Thompson said the funding will "extend our leadership across Europe." Translation: hire AEs, prove the model in new markets, scale what works. Standard Series E playbook.

Startup Daily
16 days ago
News

SaaStr doubles sponsorship revenue with 3 humans, 21 AI agents

# SaaStr doubles sponsorship revenue with 3 humans, 21 AI agents Jason Lemkin's SaaStr just posted sponsorship revenue up 2.1x year over year with a three-person team and 21 AI agents in production. The breakdown: inbound up 60%, renewals 60% ahead of last year, outbound up 124%. The agents ran 17,000 conversations and booked 600 meetings at roughly $90k ACV. ## The stack is headless Salesforce Everything runs through 10K, their AI VP of Revenue built on Replit. It is the dashboard they open every day, the queue, the renewal tracker, the AP tracker, and the thing that writes to Salesforce. The full-time sales exec logs into Salesforce sometimes. Amelia logs in to click a button as necessary. Lemkin never logs in. Salesforce is still the system of record. Headless 360, Momentum for call recording, Qualified, Marketing Cloud (on Agentforce), classic Sales Cloud, Slack. All of it feeds 10K. The agent pulls from all of them at once. The Salesforce UI only shows you Salesforce. ## What this means for sales teams SaaStr is a media and sponsorship business, not a traditional SaaS vendor, which makes the numbers more relevant. They are not selling seats or ARR. They are selling event sponsorships with long sales cycles and relationship-driven closes. If agents can double revenue in that motion, the implications for transactional B2B sales are significant. The inbound and renewal gains are the standout. A 60% lift in new business and renewals running 60% ahead means the agents are handling qualification, follow-up, and meeting booking without human intervention until late stage. That is the motion most sales teams are trying to crack: get the SDR and BDR work done by agents, let the AE close. Outbound is up 124% but Lemkin noted it is the one part of the funnel that still is not solved. That tracks with what most sales orgs are seeing: agents can handle inbound response and renewal reminders, but cold outbound at scale still needs human judgement on targeting and messaging. ## The efficiency play Three humans supporting $4.5M to $5M in revenue is $1.5M to $1.6M per head. That is not typical for a sales org, but it is typical for a lean media business with high-leverage sponsorship deals. The comp model does not translate directly to quota-carrying reps, but the workflow automation does. If your inbound team is underwater and your renewals are manual, this is the proof point. Agents can run the top and middle of the funnel. The question is whether your CRM, your data, and your processes are clean enough to let them.

SaaStr
17 days ago
News

ICONIQ benchmark: AI companies hit $655K revenue per employee, 115% growth at $100M

## The New Normal Is Not Normal ICONIQ dropped its Pacesetter Index this week, replacing the old Enterprise Five Scorecard. The numbers are wild: median 115% growth at $100M+ ARR, 55% gross margins, $655K revenue per employee. But before you use these as your board deck benchmarks, understand what you are looking at. ## Who Actually Made This List This is not a market survey. ICONIQ built this from top-quartile growth companies in their own portfolio plus public software leaders. The filter: AI-native or AI-driven, and already growing faster than 75% of the market over three years. So this is winners benchmarking winners. If you are not hitting these numbers, you are not broken. You are just not in the top quartile of a venture portfolio. No sample sizes disclosed. The sub-$10M band showing 900% median growth is almost certainly private companies, because no public software business grows 2,600% (top quartile) at that scale. Some of these cells could be three companies. ## What Changed for Sales Growth at scale is the headline. $100M ARR companies growing 115% median, 165% top quartile. That used to be impossible. Now it is table stakes for this cohort. Triple-triple-double-double is officially slow. Gross margins reset too. Median 55% under $10M ARR. Classic SaaS demanded 75-80%. AI inference costs killed that rule. Margins recover to 80% in the $25M-$100M band as companies optimize and reprice, but early-stage investors now accept 55% if growth and usage are strong. Revenue per employee is $655K in the $100M+ band, versus the old SaaS benchmark around $249K. That gap matters for quota setting and headcount planning. If your company is generating $300K per employee, either your product has strong usage economics or your team is understaffed. Both show up in quota pressure. ## What This Means for ANZ ICONIQ operates globally (including a Singapore office), but this benchmark is a late-stage growth lens, not an ANZ market snapshot. If you are evaluating an ANZ vendor or considering a role, the useful question is whether that company is tracking toward these efficiency and growth numbers, not whether it fits the 2019 SaaS playbook. Comp structures will adjust. If companies are expected to grow 115% at $100M ARR, they will hire fewer AEs and pay them more, or they will push quota higher and ramp faster. Revenue per employee at $655K means every hire has to pull serious weight. Watch for shorter ramp periods and higher individual quotas as this dataset becomes the board-level reference. ## The Reality Check This is a benchmark of outliers. ICONIQ admits it. They filtered for top-quartile growth because that is where the multiples and the exits are happening right now. Most companies will not hit these numbers. That is fine. But if you are in a Series B pitch or a comp negotiation and someone drops this report on the table, now you know what it actually measures.

SaaStr
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