Keelsight was founded on the belief that the most valuable companies of the next decade will be built on proprietary data and AI.
We’re not a strategy shop that hands you a PDF and disappears. We embed with your team, bring a builder mindset, and stay until there’s real revenue — not just a strategy deck.
Most companies are sitting on data assets they haven’t begun to monetize. The gap isn’t technology — it’s product thinking, commercial strategy, and execution speed.
Most data monetization efforts fail not because the data isn’t valuable, but because the team building the product hasn’t done it before. They over-invest in infrastructure, under-invest in customer discovery, and end up with a technically impressive product that nobody buys.
We’ve built 9 data and AI teams from scratch, launched over 60 products, and generated more than $200M in ARR across data monetization leadership roles. We bring that pattern recognition to your team — not as advisors sitting in a conference room, but as operators embedded in your day-to-day.
Every engagement is structured around outcomes, not hours. We move fast, test with real buyers early, and iterate until the commercial model works.
We’ve built the teams, shipped the products, and closed the deals. We don’t theorize — we execute.
We tie outcomes to compensation. If the product doesn’t generate revenue, we haven’t done our job.
Data products, AI commercialization, financial services, and B2B SaaS — not generalist consulting.
Learn fast, iterate faster. We’d rather test with real buyers in week two than polish a deck until month three.
We don’t spend months on discovery. We go from data dictionary to sellable product specification in 10 to 14 days — fast enough to maintain momentum, thorough enough to build on.
We validate demand through structured conversations with actual target buyers — surfacing willingness to pay, deal-breakers, and use cases that surveys miss.
Not engagement, not deliverables, not hours billed. We measure success by whether the data product generates paying customers and repeatable revenue.
Data, AI, and monetization teams built from the ground up
ARR across data monetization leadership roles
Products and initiatives launched
ML and data related patents
No pitch decks. Just a real conversation about what your data can become.
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