Bessemer is a multi-stage, roadmap-driven investor that backs cloud, AI, and vertical-software companies from earliest stages through IPO. Their method is 'diving deep into our industries of interest, closely studying each ecosystem, and identifying the attributes and characteristics of its winning companies,' then partnering early and sticking with founders. In the AI era their core conviction is that 'the future of AI is vertical' and that 'Vertical AI's market capitalization will be at least 10x the size of legacy Vertical SaaS,' competing for labor budgets rather than IT budgets. They prize disciplined cloud economics (the 5/6 C's), durable retention, and capital-efficient growth.
A specific, painful workflow problem in an industry desperate for better tools — not a technology thesis in search of a use case. The strongest companies anchor on a real, automatable task that GenAI newly unlocks.
“The best vertical AI products don't start with a technology thesis—they start by solving a specific workflow problem in an industry desperate for better tools.” — Building Vertical AI: An early-stage playbook for founders
“Build solutions only where automation aligns with customer needs and context, not just possibility.” — Part IV: Ten principles for building strong vertical AI businesses
A differentiated, integrated solution that automates an end-to-end workflow (not an easily-copied feature), using AI for tasks at scales or speeds humans can't match. Product itself should be a competitive advantage.
“Focus on differentiated, integrated workflows rather than features that competitors can easily replicate.” — Part IV: Ten principles for building strong vertical AI businesses
“Identify and implement AI in areas where it can operate at scales or speeds unattainable by humans.” — Part IV: Ten principles for building strong vertical AI businesses
“In the cloud economy, scale wins. The best cloud companies build products that set the pace of innovation. To be a market leader, you have to own at least 50% of the market” — How to Build a Cloud Unicorn
A genuinely large, credible TAM — lack of confidence in TAM is the #1 reason Bessemer passes on vertical companies. For AI they frame the prize as labor/services budgets, which dwarf software spend.
“The number one reason we pass on vertical software companies is that we lack confidence in the total addressable market (TAM).” — Roadmap: Founder's guide to vertical software
“The US Bureau of Labor Statistics cites software spend as 1% of the US GDP, and the Business and Professional Services industry — dominated by repetitive language tasks — at 13%.” — Part I: The future of AI is vertical
“we predict that Vertical AI's market capitalization will be at least 10x the size of legacy Vertical SaaS” — Part I: The future of AI is vertical
Evidence of customer love and retention, plus capital-efficient growth. CMRR is the purest forward view of steady-state revenue; best-in-class companies keep logo churn under 7% and CMRR churn under 5%. AI traction can be fast but watch margins.
“The top performing cloud companies benefit from annual logo churn rates below 7 percent and CMRR churn rates below 5 percent.” — The five accounting metrics for cloud companies
“CMRR is the single most important metric for a cloud business to monitor.” — Byron Deeter
“On average, ten AI Supernova startups...reached ~$40M ARR in their first year of commercialization and ~$125M ARR in the second year.” — The State of AI 2025
Founders with aggressive clarity of vision, hyper-aggressive execution, and deep customer empathy. The 'edge' can come from systems thinking and imagination, not just an industry resume. Tone starts at the top.
“A Vertical AI founder's 'edge' doesn't always come from industry experience on the resume, rather it's the systems thinking, imagination, and deep customer empathy to find a vertical workflow or task that was previously not automatable before GenAI.” — Building Vertical AI: An early-stage playbook for founders
“choose your market wisely and run towards areas where you have domain expertise and a shot at building a $100 million ARR business” — Brian Feinstein
A model that captures the value created — increasingly hybrid pricing that blends a subscription baseline with usage/outcome-based fees tied to ROI. Demonstrable, quantifiable ROI (revenue gains or cost reductions) drives adoption and defensibility.
“This hybrid pricing represents an attractive model of value capture for vertical AI.” — Part III: Business model invention in the AI era
“Demonstrate clear revenue gains or cost reductions to drive adoption and loyalty.” — Part IV: Ten principles for building strong vertical AI businesses
“Many are priced based on the solution's output relative to human workers, and agent ROI is framed in terms of the money saved on expanding headcount.” — Part III: Business model invention in the AI era
A credible path to market leadership and durable defensibility. Avoid commoditized features; defensibility comes from deep workflow understanding, tight integration, multimodal data, and value-based pricing — not a proprietary model alone. Incumbents are building and buying.
“Business defensibility comes from understanding workflows deeply enough to automate them reliably, integrating tightly into existing systems, and pricing for the value you create.” — Building Vertical AI: An early-stage playbook for founders
“Competitive edge increasingly depends on combining data types and workflow integrations, not proprietary models alone.” — Part IV: Ten principles for building strong vertical AI businesses
“Market leaders generally command over 50% of the total market's enterprise value; second place captures less than 30%, and third place is lucky to get 20%.” — Byron Deeter
A credible 'why now' tied to the AI inflection — new GenAI capabilities making previously un-automatable workflows automatable, plus measurable momentum (e.g., LLM-native ACV and growth). Bessemer believes this is the biggest technology wave ever.
“We are extremely confident that AI is driving the biggest wave of technology change we've ever seen.” — The State of AI 2025
“LLM-native companies in this cohort (with founding dates of 2019 to present) have quickly reached 80% of the average contract value (ACV) of the traditional core vertical SaaS systems, and are growing ~400% year-over-year” — Part I: The future of AI is vertical
“Systems of action are replacing systems of record.” — The State of AI 2025
A capital plan grounded in efficient growth — raise ahead of need to keep 1-3 years of runway, scale only what works, and use the round to earn the right to expand. Bessemer rewards capital efficiency over burning to grow.
“The first rule of running sales organizations is to ramp only what works.” — Roadmap: 10 laws of cloud
“Be cautious with investments as you test and iterate. Fail fast and be aggressive and scale your go-to-market when something is really working” — Tooey Courtemanche
“Use your initial product to earn the right to expand, then move fast.” — Building Vertical AI: An early-stage playbook for founders
“Market leaders generally command over 50% of the total market's enterprise value; second place captures less than 30%, and third place is lucky to get 20%.”
“supports teams that leverage AI to create new categories and progress the way we live and work”
“The number one reason we pass on vertical software companies is that we lack confidence in the total addressable market (TAM).”