Deliver the quality your customers deserve
We believe your customers deserve the same quality from your AI that they expect from the rest of your product. Inventive exists to make that possible.
About Inventive
Our configurable AI agent for B2B SaaS companies has built-in quality and learning systems. We sit on top of existing BI semantic layers like Looker, Omni, and Cube, and make it possible to test across your customer base, measure quality you can stand behind, and improve from real usage automatically.
We started Inventive because we saw firsthand at Google that the gap between "works in the demo" and "works for every customer, every day" was wide, and has only been getting wider in the era of AI agents.
Join us and build something you love
Competitive salary and equity
Fully remote
Comprehensive health benefits
Work from home stipend
Home office setup stipend
Unlimited time off
Our founders
Erik Kuld
CEO
Most recently, Erik led embedded analytics at Google (Looker). Prior, he monetized data products at Google Maps and Search. He started his career at Box working on product monetization.
Kavita Shah
Head of Product
Before co-founding Inventive, Kavita led the Apps team building smart data products at People.ai. She started her career at Youtube/Google working on the monetization product team.
Clarence Tso
Head of Engineering
Most recently, Clarence led platform engineering teams at Meta. Prior, he built data platforms and led engineering teams at Schrödinger. Before that, he was at Microsoft as a PM on Bing.
“The Inventive team is set to redefine how AI is integrated into product experiences, and we’re thrilled to be a part of their journey towards shaping how businesses leverage AI to meet evolving customer needs.”
Chris Zeoli
Partner
About Inventive
Inventive helps B2B SaaS companies that need their customer-facing AI to work reliably in production, not just in demos. Our configurable AI agent embeds seamlessly into SaaS products with built-in quality and learning systems, so your customers can analyze data and take action via natural language, and you know exactly how it's going. Our customers ship in days, measure AI quality across their entire customer base, and improve from real usage automatically with near-zero ongoing effort. Founded in 2022, our team brings decades of domain expertise building data products and platforms at Google, Microsoft, and Meta.
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