data-products
(4)
Inventive
Inventive is a San Francisco startup building customer-facing AI that B2B SaaS companies embed inside their own products. Its first product, an embedded AI Analyst, lets a software vendor's customers use plain language to explore data, build custom reports, and act on insights. What sets Inventive apart is the layer around the agent: built-in quality and learning systems that test across accounts, catch mistakes, and propose fixes so the AI measurably improves week over week instead of degrading after a good demo. Founded in 2022 by ex-Google, Meta, and Microsoft product and platform veterans, the company launched out of stealth in June 2024 with a $6.5M seed round led by Wing VC.
Erik Kuld
Erik Kuld is the co-founder and CEO of Inventive, a San Francisco startup that embeds a conversational AI analyst directly inside enterprise software so customers can ask for custom reports and insights in plain language. A Harvard molecular biology graduate who pivoted into product marketing at Box, Google, and Looker, Kuld launched Inventive out of stealth in June 2024 with a $6.5M seed round led by Wing VC. He pitches a simple promise to product teams: ship smarter customer-facing analytics in weeks, not quarters.
Nexla
Nexla is a unified data operations platform that turns fragmented enterprise data into AI-ready data products - called Nexsets - so analysts, engineers, and AI agents can integrate, transform, and govern data without writing code.
Ronen Schwartz
Ronen Schwartz is the CEO of K2view, an Israeli-founded data product company at the forefront of enterprise AI readiness. With 25 years in the data industry — including a 14-year run at Informatica and a stint at NetApp where he grew the cloud storage business 12-fold to dominate a $600M division — Schwartz took the helm at K2view in December 2023. He is focused on turning fragmented enterprise data into live, governed data products that power agentic AI applications at scale, positioning K2view as the infrastructure layer that makes real-time AI not just possible, but production-ready.