Gradient is an AI-native seed fund (founded inside Google in 2017) that aims to be the first institutional check into pre-seed and seed AI founders. It backs technically rigorous teams building AI-native software, agents, the developer stack, and real-world AI, prizing obsession with quality and the speed to iterate faster than the market can copy. In Gradient's words, 'the earliest stage is where the most disruptive, most contrarian investments are made' and work that 'doesn't yet fit neatly into a pitch deck' is often a feature, not a bug.
A real, painful, often unglamorous problem rooted in firsthand customer reality; Gradient is comfortable when the work is so early it doesn't yet fit a polished deck.
“If you're working on something that doesn't yet fit neatly into a pitch deck, that's for us often a feature, not a bug.” — Ten years of AI investing, and just getting started: Introducing Gradient's $220 million Fund 5
“The gap between logistics planning and logistics execution is where the real pain lives.” — Clayton Petty
“A single referral can arrive as a 40 to 50 page packet spread across hospital portals, fax, and email.” — Andrew Brackin
“The harder problem is ensuring the right research is selected and applied in the right clinical context.” — Andrew Brackin
End-to-end, craftsmanship-driven products that do unscalable things early to nail quality, rather than complex point solutions or thin wrappers; ambient/autonomous designs that remove manual work.
“The best strategy appears to be having a razor focus on quality – even if it means you need to do unscalable things at the beginning.” — What Does it Take to Win in Enterprise AI?
“The difference between a delightful experience and a great demo is your software craftsmanship.” — Eylul Kayin
“Complexity isn't a badge of honor - it's a trap.” — Eylul Kayin
“Clarify's ambient intelligence works autonomously in the background - no prompting, no data transformations or entry, no management required.” — Zach Bratun-Glennon
Large, structurally growing markets evidenced by concrete demographic, spend, or category data, with framing of why the opportunity is among the biggest in its category.
“This may be the largest opportunity in CRM advancement yet.” — The Future of Sales is Clarify's Ambient Intelligence
“U.S. spend on home health has nearly quadrupled from $43.8 billion in 2004 to $169.4 billion in 2024” — Andrew Brackin
“Today roughly 50 new drugs are approved by the FDA every year but there are thousands of known diseases that may be addressed.” — Vig Sachidananda
Evidence of demand validated early and cheaply; concrete operational outcomes and steep growth, even pre-deck. Any signal of pull in a focused area counts as success early on.
“If you're seeing any traction in a certain area, that's generally a success.” — The GTM Sprint - A Framework for Testing Early Stage GTM Hypotheses
“Resolution times on tickets have dropped from two days to five minutes for simple issues, and from fifteen days to twenty-four hours for complex ones.” — Clayton Petty
“Over the past 12 months, Enzo has grown revenue more than 40X and now powers organizations supporting more than 500,000 patients annually” — Andrew Brackin
“The goal isn't perfection – it's learning.” — Kyle Duffy
Technically rigorous founders with an obsession for quality and deep domain insight, often lived experience of the problem and elite engineering pedigree; founders who personally drive GTM.
“Technical rigor.” — Ten years of AI investing, and just getting started: Introducing Gradient's $220 million Fund 5
“Sean and Henry bring a combination of deep operational logistics experience and top-tier technical talent uniquely suited to this space.” — Clayton Petty
“Vera was founded by MIT graduates Maxime and Taieb, who grew up in physician households.” — Andrew Brackin
“The founder(s) should be driving the process.” — Kyle Duffy
Models that capture an ecosystem (third parties building on the platform), avoid the POC trap by delivering end-to-end value, and reflect distribution as a first-class advantage.
“Avoid getting stuck in the POC zone and fail forward by knowing your limitations and pulling together an end-to-end solution.” — What Does it Take to Win in Enterprise AI?
“The defining companies of our generation will actively enable new AI-based functionality to be built on top of their platforms” — Clayton Petty
“That gap between building and reaching users is the defining bottleneck for 47 million developers worldwide.” — Clayton Petty
“Your enterprise customer will need your help translating abstract use cases into production-grade applications.” — Eylul Kayin
A real, evolving moat beyond first-mover status; defensibility that compounds (ecosystem, craftsmanship, speed of iteration) because being early is trivially copyable.
“Being the first to go to market is not an AI moat. If it only took you a month to do, it will take even less time to undo.” — What Does it Take to Win in Enterprise AI?
“Investors are increasingly saying that it isn't enough to have a moat.” — Clayton Petty
“Speed of iteration is the best unfair advantage most startups have in providing a high-quality service.” — Eylul Kayin
“incumbents have less claim to that incremental dollar than they've ever had.” — Clayton Petty
A genuine inflection: a Cambrian explosion of agents, collapsing build costs that shift the bottleneck to distribution, and AI making whole workflows newly automatable. Timing tied to a behavioral or technological shift.
“It increasingly feels like we are in for a Cambrian explosion of AI agents in the coming months.” — The Web Is Too Human for Agents
“AI can build your entire application, but it still can't actively find you users.” — Clayton Petty
“The pace of software development is accelerating and the number of new products is going to swell.” — Clayton Petty
“The internet, software, and the authentication infrastructure that gates it, is currently constructed for humans.” — Clayton Petty
Gradient wants to be the first institutional check and spend real, hands-on time with founders at pre-seed and seed; the round should fund reaching genuine product-market fit and iterating GTM, not vanity scaling.
“We're not just investors; we're builders, mentors, and champions.” — Gradient Ventures Homepage
“the first institutional check, spend real time with founders at pre-seed and seed” — Zach Bratun-Glennon
“Before investing a ton of engineering resources into building a product, it's critical that you validate there's a market for what you're building.” — Kyle Duffy
“If you're working on something that doesn't yet fit neatly into a pitch deck, that's for us often a feature, not a bug.”
“The defining companies of our generation will actively enable new AI-based functionality to be built on top of their platforms”
“Before investing a ton of engineering resources into building a product, it's critical that you validate there's a market for what you're building.”
“The speed to iterate faster than the market can copy.”
“Being the first to go to market is not an AI moat. If it only took you a month to do, it will take even less time to undo.”