Fetching from the wire…
Markets2026-06-07 · source-backed
Analysts project 30 to 40% of the ~$450B vertical SaaS market gets reshaped by AI agents through 2028. Legal (Harvey, serving A&O Shearman and PwC Legal), healthcare (Ambience, ~$150B/yr projected US savings), and construction (Procore) show domain agents winning on data and workflow moats. Source: Rob Saker / Medium Vertical SaaS sold at a 41% premium to horizontal in 2025, the largest gap on record, and vertical AI is aiming straight at that premium. The moat is proprietary data plus owned workflow, which is exactly what a thin AI wrapper can't replicate.
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Over the trailing twelve months, construction SaaS was 2 of 32 vertical deals but captured $149M, 15.1% of all vertical SaaS capital, per New Market Pitch. Legal ranked third with 5 deals and $164.2M, anchored by Harvey reaching $300M ARR by May 2026. Healthcare was broadest b...
Co-led by Lightspeed and Diffusion with Sapphire and Whale Rock joining, up from $11B in March, on ARR past $350-400M with 80% of Am Law 100 firms as customers. Capital is earmarked for proprietary models rather than wrapping frontier ones. Bloomberg A vertical app company buy...
Outcome-based pricing crossed from experimental to mainstream this quarter. The data is now unambiguous. Zendesk charges $1.50 per automated resolution on committed plans, $2.00 pay-as-you-go. Intercom's Fin charges $0.99 per resolved conversation with no charge if unresolved....
Gartner's July 1 report says roughly $234B of enterprise application spend, about 20% of the whole SaaS market, is exposed to "agentic arbitrage" by 2030. Source. The mechanism is simple and it breaks the thing every SaaS business is priced on. Agents complete tasks across mul...
Crunchbase profiled Sarah Buchner's company on August 13: ~$70M raised including a $40M Series B at $325M, 100+ employees, agents parsing the 3-4 million pages of documentation on a typical project. One contractor caught a change that would have added $4M to a $100M project. B...
ChartMogul data just crystallized something that's been bugging me about AI product economics. AI products priced above $250/month retain at 70% gross revenue retention and 85% net revenue retention, matching traditional B2B SaaS. Products under $50/month? 23% retention. That'...
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