He studied cells at Harvard, then spent a decade learning how products talk to customers. Now he is teaching enterprise software to answer back - in plain English.
Ask Erik Kuld what Inventive does and the answer arrives without jargon. Somewhere right now, a product manager is staring at a queue of customer requests that all start the same way: "Can you pull me a report that shows..." Each one is a small fire. Each one needs a data analyst, a few days, and a Slack thread. Inventive is the company Kuld built to put those fires out before they start.
The product is called the AI Analyst, and it lives inside other companies' software. A customer types a question the way they would say it out loud - "Alert me when my next month bookings are 10%+ behind compared to this time last year" - and the embedded agent goes to the trusted data, builds the answer, and hands back a custom report. No ticket. No analyst. No quarter-long roadmap negotiation.
Kuld co-founded Inventive in 2022 with Kavita Shah and Clarence Tso, and kept it quiet for two years. The company came out of stealth in June 2024 with a $6.5 million seed round led by Wing VC, with additional money from Tokyo Black and an angel group stacked with former Google and Meta executives. By the time the press releases went out, the AI Analyst was already in production, serving thousands of end customers through the apps it sits inside.
His framing of the win is unfussy and commercial. "We enable product leaders to offer smarter customer experiences and deploy them in weeks, not quarters," he said when the round was announced. "Our platform accelerates product innovation and customer satisfaction which translates into adoption and, ultimately, revenue growth." It is the sentence of someone who has spent years on the marketing side of products and knows the only metric a buyer remembers is the one with a dollar sign.
That commercial nose did not come from nowhere. It came from a decade of standing next to products and explaining why they matter.
Kuld's degree is in Molecular & Cellular Biology, from Harvard. It is the kind of detail that should not fit a Silicon Valley founder profile, and that is exactly why it does. People who train to read living systems tend to be comfortable with messy data, hidden variables, and the patience required to find a signal. He just pointed that instinct at software instead of cells.
His first marks in tech came at Box, where he held product marketing roles in the early 2010s, when "the cloud" was still a phrase that needed a slide to explain. From there he moved into the orbit of the two companies that would define his expertise: Google, where he worked as a global product marketing manager, and Looker, the business-intelligence company where he became Head of Product Marketing. Looker was eventually folded into Google Cloud, and Kuld spent his time there in the exact spot where the Inventive idea would later germinate - the gap between the data a company has and the answers its customers actually want.
Product marketing is an underrated school for founders. You spend years translating what engineers built into what customers feel, which means you learn, in painful detail, every place the two diverge. Kuld watched product teams drown in custom data requests they did not have the capacity to serve well. He watched analytics get bolted onto products as an afterthought. The diagnosis that became Inventive was sitting in plain sight the whole time.
When he finally started the company, he did not build it alone. Kavita Shah had been a product manager at YouTube and People.ai, where she put embedded analytics into data platforms - the precise problem Inventive would tackle. Clarence Tso came from Facebook and the research edge of AI. Wing VC, when it backed them, described the trio as having "deep product experience in the domain, with customer empathy and AI technical prowess." It is a polite way of saying they had each already failed at, fought with, and finally understood the problem before they tried to sell a solution.
Kuld is blunt about the failure mode that haunts every customer-facing AI feature: it gets tried once and abandoned. Inventive's answer is not a flashier demo - it is plumbing built around trust. Here is the shape of it.
Users explore, save and operationalize insights from their own trusted data by typing a question the way they would say it. No SQL, no analyst, no waiting on a roadmap.
Measurable quality across every account and data source, fully auditable and configurable. The point is to know the AI is right, not just hope it is.
The system learns from real usage and proposes its own fixes - but a person approves them before they ship. Improvement you can see, not improvisation you cannot.
It plugs into a company's existing semantic layer and handles the backend, so product teams configure and oversee rather than build infrastructure from scratch.
Plenty of companies will sell you an AI chatbot. Kuld's wager is narrower and harder: that the thing standing between enterprises and "real revenue" on AI is not capability but confidence. A customer-facing analyst that is wrong once loses the user forever. So Inventive's center of gravity is the quality score, the audit trail, the human-approved fix - the unglamorous machinery that lets a buyer put AI in front of their own customers and sleep at night.
One of Inventive's customers, Shai Evian, the CEO of Howler, put the difference plainly: Inventive was the first vendor where the AI got "measurably better every week" because it genuinely learned from how customers used it. That sentence is the entire pitch, delivered by a buyer instead of a founder. It is also the kind of testimonial Kuld the product marketer would have killed for in his Looker days.
The market context helps. Enterprises increasingly run on data-driven insights, and increasingly want those insights inside the tools they already use rather than in a separate dashboard nobody opens. Kuld is betting that embedded beats bolted-on, that conversational beats clicking through filters, and that the winner will be whoever makes AI trustworthy enough to monetize. Whether he is right is unsettled. That he has spent his whole career standing exactly where the question lives is not.
He is not loud about it. There is no manifesto, no founder-influencer act. Just a smiling guy in glasses, a tightly argued product, and a company name that doubles as a dare. Inventive. Go make something.