Scale Venture Partners invests precisely in the middle of the venture continuum, looking for early product-market fit where they take business and go-to-market execution risk rather than product risk. They back enterprise software companies typically doing $1-2M in trailing revenue, with a core thesis that the next decade belongs to 'Cognitive Apps'—software with machine intelligence at its core. As Rory O'Driscoll puts it, 'We're looking for two things. It's big picture trends and near-end traction.'
A rich, specific business pain the founder understands more deeply than anyone else—ideally one a domain-prepared investor recognizes instantly. Scale rewards founders who reframe an obvious-in-hindsight problem.
“Within minutes of the initial pitch I had incredibly high enthusiasm for this opportunity, not because I was actively looking for solutions for this problem, but because a decade of work made me a prepared buyer.” — Announcing our investment in Monto
“These portals...create custom and one-off workflows for accounts receivable teams, which become increasingly difficult (and expensive) to manage.” — Alex Niehenke
“In one extreme case, a company hired four accountants to deal with the monthly task of managing this cumbersome data entry process.” — Alex Niehenke
“From sales to procurement to accounting, every functional group within a company continues to exchange documents like contracts, order forms, invoices, and purchase orders.” — Edi Danalache / Rory O'Driscoll
Software with machine intelligence built in from the start—'cognitive apps' that make predictions or create, applying the latest AI research to a concrete business problem, not bolted-on AI.
“make predictions about the world using machine learning algorithms applied to information they gather themselves.” — Cognitive Applications with Intelligence Inside
“Amid an AI landscape that is moving with tremendous speed, it is this sort of nimble approach in applying the latest-and-greatest in AI research to a rich business problem that we at Scale are focused on investing in” — Max Abram / Andy Vitus
“Bland's differentiation comes through: a unique end-user facing Zapier-style flow builder, called Pathways; an edge in call speed, won through unique investment in proprietary infrastructure” — Max Abram / Andy Vitus
“Users will increasingly expect software to intelligently work for, rather than against us.” — Andy Vitus
Large, growing markets, ideally trillion-dollar TAMs and segment-specific verticals where AI can act as a forcing function for new entrants. Scale pairs big-picture trends with proof customers exist today.
“Financial document automation is a market primed for AI innovation.” — Announcing our investment in Klarity
“We're looking for two things. It's big picture trends and near-end traction.” — Rory O'Driscoll
“Segment-specific startups frequently outperform their horizontal counterparts and do so with greater efficiency, lower churn, and simpler GTM motions.” — Where We Invest
“The integration of AI into workflows presents a major opportunity across these vertical techstacks, potentially acting as a forcing factor in allowing new entrants into hard-to-penetrate industries.” — Where We Invest
Evidence of early product-market fit and repeatable demand—signed customers who buy, stay and expand—typically $500K-$5M ARR (often $1-2M trailing revenue). Repeatability matters more than hitting a hard threshold.
“Signed customers and repeatable demand. We care less about a revenue threshold than proof that customers buy, stay, and expand—typically $500K–$5M ARR.” — FAQ — Scale Venture Partners
“The typical scale deal is doing one or two million dollars in trailing revenue.” — Rory O'Driscoll
“In these early days of AI adoption and product build out, customers are already looking to Galileo as a non-negotiable for reliably getting their AI-powered products off the ground.” — Andy Vitus
“Bland is already seeing the fruits of this GTM motion. One of their customers is a mid-market travel nursing agency for which the key limitation on growth is screening and recruiting qualified nurses” — Max Abram / Andy Vitus
Strong founder-market fit—entrenched founders driving real impact and real revenue—plus the vision and domain expertise to define how a category will evolve.
“They prioritize founder-market fit, based on our experience with entrenched founders driving real impact—and real revenue.” — Where We Invest
“When I met Maya and Yoav at Monto they understood all the avenues I had gone down, but they went further and discovered a problem that in hindsight is so much more obvious and significant.” — Alex Niehenke
“Vikram and his team bring years of deep expertise, a clear vision for how the AI SDLC will evolve, and conviction in the product shape that will support it.” — Andy Vitus
“It's acquired from early customers, typically the CEO's, the salesperson, maybe one or two reps.” — Rory O'Driscoll
Healthy SaaS unit economics across the 'four vital signs'—growth, efficiency, churn and burn—and a path from founder-led growth to scalable, efficient go-to-market. B2B software that helps customers grow revenue or cut cost.
“The eBook addresses the 'Four Vital Signs of SaaS' covering growth, efficiency, churn, and burn.” — Four Vital Signs of SaaS: The Definitive Metrics & Benchmark eBook
“SaaS metrics should be to a management team what patient vital signs are to an emergency room doctor: a simple set of universally understood numbers that allow a doctor to quickly know how ill a patient is and what needs fixing first.” — Dale Chang
“Mid-stage investors are underwriting good market execution risk, sales and marketing execution” — Rory O'Driscoll
“Bland's LLM-based AI phone agents enable enterprises to offer the sort of flexible voice interaction at-the-moment-of-demand that their consumers seek, and with software-enabled cost-structures and scalability” — Max Abram / Andy Vitus
Defensibility through intelligence built in from the ground up, proprietary data flywheels, and integration moats that incumbents and PLG newcomers cannot easily replicate. Being first to exclusively own a pain point is valued.
“adding intelligence to an application cannot be achieved as an afterthought.” — Cognitive Applications with Intelligence Inside
“As more drivers apply for insurance and the company broadens its insured base, the team is able to hone its algorithms to drive more favorable unit economics.” — Andy Vitus
“Integrations are a form of moat, and so while high-velocity PLG-centric motions are incredibly attractive for growth, the complex burden of integrations are why many vertical systems have entrenchment today” — Alex Niehenke
“Monto is the first company to exclusively focus on this pain point.” — Alex Niehenke
A clear inflection—typically the current AI S-curve—making this the moment a category becomes buildable. Scale wants founders applying the latest AI research to problems incumbents cannot retrofit, in verticals ripe for adoption.
“the next decade will be defined by the addition of machine intelligence to software, a trend we've labeled cognitive apps” — Doubling Down on Cognitive Apps: Announcing Scale Fund VIII
“an emerging breed of Generative AI applications, which expand the reach of machine learning beyond merely understanding to creating” — Doubling Down on Cognitive Apps: Announcing Scale Fund VIII
“With the complexity and prevalence of AI only continuing to explode, the best has yet to come.” — Andy Vitus
“The last meaningful software many law firms purchased was the Microsoft Office suite” — Alex Niehenke
A round Scale can lead at Series A/B (initial checks $5M-$50M, sized to the round), with capital tied to a credible plan—typically funding R&D and the scaling of go-to-market off proven early traction.
“Initial checks usually range from $5 million to $50 million, sized to the round and the business.” — FAQ — Scale Venture Partners
“We lead 80% of our rounds at Series A and B, and we typically take a board seat.” — FAQ — Scale Venture Partners
“The Series A will fund significant continued investment in R&D across dimensions relevant to a best-in-class calling automation product” — Max Abram / Andy Vitus
“We invest in, if you think of the continuum from early to late, we invest precisely in the middle. What we're looking for is early product market fit.”
“make predictions about the world using machine learning algorithms applied to information they gather themselves.”
“Within minutes of the initial pitch I had incredibly high enthusiasm for this opportunity, not because I was actively looking for solutions for this problem, but because a decade of work made me a prepared buyer.”
“SaaS metrics should be to a management team what patient vital signs are to an emergency room doctor: a simple set of universally understood numbers that allow a doctor to quickly know how ill a patient is and what needs fixing first.”