The $69M ARR ecommerce CX platform tested its AI agent against named competitors on 8,356 live conversations and published the full methodology. Ranked first overall, but showed Yuma beating them in one category. This is how vendor evals should work.
Four months after cutting 14% of headcount and exiting 22 countries, GitLab shipped a $286M quarter with 24% billings gr...
Funding & StartupsSydney proptech RentBetter closed $5 million from EVP to build AI property management tools. The 2016-founded company is...
Maia Josebachvili, Stripe's CRO for AI, shared revenue data from the fastest-growing AI companies. They grew 175% in 2026, hit 120 countries by year three, and 48% of revenue came from outside their home market. Worth noting: Stripe processes payments for most major AI companies, so these are actual revenue numbers.
Heidi's $140 million Series C leads this week's funding haul, valuing the AI healthcare platform at $1.26 billion. Six other startups closed rounds across medtech, proptech, and fintech. The deals signal continued investor appetite for B2B software and applied AI plays in ANZ.
Australian founders are moving companies offshore earlier than they otherwise would, driven by capital gains tax exposure that gets worse as valuations climb. The flip-up gets harder once you have revenue and investors. Lawyers say cost and complexity push founders to Delaware before they raise serious money.
## 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.
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.
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.
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.
## 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.
## 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.
Tech companies didn't pause hiring to save money, they paused it because AI convinced them they don't need you.
Tech companies aren't freezing hiring to cut costs—they're restructuring how sales compensation works, and your OTE is about to get complicated.
When governments make it expensive to do business locally, sales teams get cut first—and Australia just painted a target on every tech AE's back.