Decision Intelligence
The enterprise brain for AI-grounded decisions. One context layer across Slack, JIRA, Git and your data, so every diagnostic question gets a grounded, cited answer in minutes, not days.
The Problem
Analysts run 30–40 diagnostic cycles a week: why did activation drop? why is reconciliation off? Each one takes days, because roughly 60% of the time goes to reconstructing context across Slack, JIRA, Confluence and Git before the analysis even begins.
The answer existed in your organization before they started looking. They just had no way to find it.
The Insight
Every enterprise has frontier AI; none have organizational context. GPT, Claude and Gemini are capable, cheap and improving, but none know the metric definition that changed last October, or the decision buried in a Slack thread nobody will search. Intelligence without context produces confident wrong answers, worse than none in enterprise analytics. The application layer commoditizes within 18 months. The context layer compounds.
AntHill is the context layer.
How it works
Plug in once, build the living map, ask in plain English. Three moves from raw systems to a cited answer.
Connect Slack, Git, JIRA and Confluence in a couple of clicks. No migration, no new habits.
Everything becomes a bi-temporal, permission-aware context graph. It compounds with every query.
Specialized agents decompose, retrieve, run grounded queries and validate, with every answer cited to source in minutes. You review, correct, confirm.
Who's building it
The founding team led analytics, product and risk at a multi-product fintech at $1B+ scale, where a 50-person analytics team spent half its capacity hunting context. We're building AntHill so no team has to lose that time again.
The context graph compounds.
By month six, a competitor starting fresh at the same customer starts at zero. AntHill is already irreplaceable.
AntHill Product Note · July 2026
What we heard · user interviews
“All analytics teams pay a tax on their productivity. About 40% goes to answering purely deterministic questions.”Analytics leader
“30–40% of the team's weekly bandwidth goes into building and maintaining context. Easily 15 to 20 people.”Head of analytics
“A three-week delay identifying one lender API issue cost ₹10 crore in disbursals.”Analytics head
Work with us
We're taking on a small number of design partners through 2026. Shipping enterprise-ready July 2026, working with a small group who want analytics at thinking speed and will shape the product.
Annual contracts · Seat-based with platform fee · Custom pricing for design partners.