One context layer across Slack, JIRA, Git, and your data — so every diagnostic question gets a grounded, cited answer in minutes, not days.
Every week your analysts run 30–40 diagnostic cycles — why did activation drop? why is reconciliation off? Each takes days, because 60% of the time goes to reconstructing context across Slack, JIRA, Confluence, and Git before any analysis even begins.
The answer existed in your organization before they started looking. They just had no way to find it.
Every enterprise has frontier AI. None have organizational context. GPT, Claude, Gemini are capable, cheap, and improving every quarter — but none of them know the metric definition that changed last October, or the decision buried in a Slack thread nobody will ever search.
Intelligence without context produces confident wrong answers — and in enterprise analytics, a confident wrong answer is worse than none. The application layer commoditizes within 18 months. Infrastructure won't.
AntHill is infrastructure.
From raw tools to a cited answer in three moves — ingest, think, answer.
Connect Slack, Git, JIRA, and Confluence in a couple of clicks. AntHill ingests your organization's actual record of how decisions get made — no migration, no new habits.
Everything it reads becomes a bi-temporal, permission-aware context graph — the metric that changed last quarter, the incident behind last month's drop, the thread nobody searched. It compounds with every query.
Specialized agents decompose the question, retrieve context, run grounded queries, and validate — returning an answer cited back to its source in minutes. You review, correct, confirm.
AntHill exists because we lived the problem. Our founding team led analytics, product, and risk at a multi-product fintech operating at $1B+ scale — where a 50-person analytics team spent half its capacity hunting context instead of solving problems.
We built a lightweight, markdown-driven predecessor inside that company — a set of internal configs, not a product. Fifty analysts now use it daily. Six months of compounding usage proved the strategy works.
AntHill is the rebuild — same insight, a grounds-up rebuilt, enterprise-grade, shipping July 2026.
"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 2026Alone, an ant works. Together, they move worlds.
AntHill is shipping enterprise-ready in July 2026. We're working with a small group of design partners who want their analytics function operating at thinking speed — and who are willing to shape the product as we build it.
Annual contracts · Seat-based with platform fee · Custom pricing for design partners
AntHill is three things working as one: a Context Graph that maps your organization, an Ontology Layer that grounds every query, and a Multi-Agent Pipeline that does the work — with human review at every meaningful step.
The Context Graph ingests Slack, Confluence, JIRA, and Git — your organization's actual record of how decisions get made, what changed, and why.
It's bi-temporal. Permission-aware. Multi-tenant from day one. Sixteen entity types. Tiered extraction. Full entity resolution. Operational in 2 weeks of integration.
Every query enriches the graph. Every analyst correction strengthens it. By month six, a competitor starting fresh at your organization starts at zero.
Every analytics team has tribal knowledge about its data: which table is canonical, which filter excludes which edge case, what the metric definition was before the change last October.
The Ontology Layer captures all of it. Auto-populated from your existing dashboard SQL, Git history, and analyst-validated query library. Continuously tuned during the first weeks of usage.
This is what makes text-to-SQL work without hallucination — because the ontology grounds every query in your team's agreed-upon definitions.
A diagnostic question gets decomposed into structured hypotheses. Specialized agents work in parallel — context retrieval, hypothesis ranking, query generation, validation, inference, decision-trace documentation.
Every step is visible to the analyst in real time. Every output is cited back to its source. Human-in-loop at every meaningful checkpoint — not because we're cautious, but because judgment is the product.
The agents do the execution. The analyst does the thinking.
Same analysts. Same data. The work that used to fill a week now happens between meetings.
The analyst stops doing archaeology.
They start doing analysis again.
A few days of context-hunting → one morning of confirmed answers. The Context Graph indexes every thread, ticket, and query. Agents decompose, rank, validate, document. The analyst reviews and confirms.
Payment reconciliation across issuer, payment provider, receiver, merchant. Standard cycle: 4 to 5 hours. Daily. AntHill retrieves the schema, identifies tables, generates and executes the logic, surfaces discrepancies with citations.
Shift sizes, total shifts, break structures, gender proportion, language splits, productivity targets. Manual logic, multiple iterations, 4 to 6 hours. AntHill interprets the problem, generates the logic, runs iterations autonomously, returns a validated solution.
Today: a Slack message to an analyst, 24 to 48 hours to an answer. With AntHill: the question goes directly to the Context Graph. Cited answer in minutes — historical patterns, prior anomalies, definition history.
The user never sees a black box. AntHill shows its work — tasks decomposed, sources cited, queries visible, outputs explained.
We're taking on a small number of design partners through 2026.
The answer to your most expensive question exists somewhere in your systems — in a decision made last quarter, in a hypothesis tested and forgotten, in a Slack thread nobody searched. We built AntHill to close that gap permanently.
Every organization already knows what it needs to know.
The answer to your most expensive question exists somewhere in your systems — in a decision made last quarter, in a hypothesis tested and forgotten, in a Slack thread nobody searched.
The problem was never data. You have enough data.
The problem is the gap. Between what your organization knows and what your leaders can access in the moment it matters.
That gap costs you millions. Monthly. Quietly. Compounding.
We built AntHill to close that gap permanently.
Not with more dashboards. Not with more reports. With a compass — grounded in every system, every decision, every process your organization has ever touched.
Ants don't have managers. They have context. And with that context they move mountains.
So do your people. When they have AntHill.
A compass doesn't give you answers. It orients you so you can find them.
It's trusted under pressure. Reached for when the stakes are high and the cost of being wrong is immediate. You don't reach for a compass when things are easy — you reach for it when you're lost.
That's exactly AntHill's use case.
An ant alone is just surviving but together they move mountains. Not because any single ant is intelligent — but because the colony is connected. Every grain of knowledge available to every ant who needs it.
Your organization works the same way. The intelligence already exists. AntHill connects it.
The most valuable intelligence in any organization is already inside it — unstructured, disconnected, dormant. The job is activation, not accumulation. More data was never the answer.
Decision makers shouldn't need analysts to access truth. Analysts should be elevated above execution — into strategy, judgment, and work only humans can do.
The goal is never fast answers. The goal is fast, accurate, contextually grounded answers. Those are not the same thing. We will never optimize one at the cost of the other.
A fast wrong answer is worse than a slow right one. We will never optimize for response time at the cost of grounding. Every output is validated before it reaches a decision maker.
AntHill gives decision makers direction — not decisions. The compass points north. The leader still chooses to walk. We enhance judgment; we never substitute it.
Every addition to AntHill must make the decision maker's experience simpler, faster, and more certain. Complexity is the enemy of the compass. If it makes the product harder, it doesn't ship.
Every answer traces to a real source. If the context doesn't exist, AntHill says so. We don't fill the gap with inference.
The human-in-loop is not a safety feature bolted on. It's the architecture. At every meaningful checkpoint, the analyst reviews, corrects, confirms.
When forced to choose between a new workflow and making an existing one more reliable, we choose reliability. Every time.
Every task decomposed, every source retrieved, every query written, every inference drawn — visible in real time. Transparency is how trust is built.
Every addition must make the analyst's experience simpler. A compass that requires a manual is not a compass.
Analysts stay in the tools they already use. The Context Graph ingests from systems the org already runs. AntHill learns the language — not the other way around.
We're shipping with 5 design partners through 2026. Pricing is shaped to that relationship — not a SKU sheet, not a procurement form, not a calculator that asks how many seats you have before it tells you anything useful.
An annual platform commitment. Single contract, single AntHill instance, multi-tenant inside your org. No per-feature add-ons, no usage-tier thresholds that trigger renegotiation mid-year.
Seats for the analysts using it. Priced per active analyst seat, scoped to the teams in the rollout. We size the seat count with you against the workflows in scope — not the headcount of every adjacent team.
The first three months as joint work. Implementation, ontology calibration, and the first three production workflows are co-built with our team. Not a services line item — part of the deal.
Public pricing arrives when general availability does. Until then, the conversation is the quote.
Tell us the team and the workflows. We'll come back within a week.
AntHill is in private preview with design partners. Reference docs, architecture deep-dives, and the integration runbook are gated to deployed orgs — they evolve weekly with the product, and a public copy would be wrong by the time you read it.
The product note (PDF). Pages on the architecture, the workflows, and the trade-offs. The same document the founding investors read. Download (available for partners) →
An architecture walkthrough. A 45-minute call with the CTO/CPO/CDO covering the Context Graph, the Ontology Layer, and the agent pipeline at the depth your eng team needs. Booked one-to-one.
The security packet. SOC2 readiness status, threat model, multi-tenancy boundaries, KMS posture, and the responses to the procurement questionnaires we've already answered. Sent under NDA.
Public reference docs ship alongside general availability in 2026. Sign up below and we'll mail you the index the day they go live.
One email. Tell us which. We'll route it.
AntHill's founding team comes from analytics, product, risk, and engineering at a multi-product fintech valued at $1Bn+. We spent years watching brilliant analysts spend >60% of their day hunting context across five tools — and the remaining 40% being too tired to think clearly.
Better infrastructure helped — PySpark, Airflow, semantic models, dashboards. The team got 10% faster. The core problem didn't move.
In 2025, with frontier AI finally capable enough, we built a markdown-driven predecessor system inside our company. An orchestration layer with localized context and AI agents. Within four months, fifty analysts were solving 25% of their execution-heavy work in minutes instead of days. Average working day dropped from 15 hours to 10. Same output. More motivation.
The proof point was undeniable. The opportunity was bigger than one company.
AntHill is the rebuild — same insight, enterprise-grade, shipping July 2026.
CEO & Co-founder
11 years in Analytics, AI, and Data Science. Previously at slice, Fractal.ai, Asper.ai, Citibank, Mu Sigma.
CTO & Co-founder
4 years in Analytics and AI engineering. Previously at slice and FrontRow.
The founding team has shipped together at scale. We've built core banking analytics that reduced ledger differences from 22% to under 0.01%. We've scaled lending AUM by 150% in two years. We've driven CX resolution rates from 60% to over 85%. We've deployed AI tools that recovered 60% of legal and compliance time and 30% of analytics team capacity.
We know how to build with each other. We know how to disagree productively. We know how to ship under deadline.
The product comes from the same place all of those did — operators solving problems we lived inside.
We're hiring four founding-team engineers to ship AntHill's enterprise build by July 2026. This is the smallest the team will ever be. The work is infrastructure that compounds. The trade-offs are real. The upside is meaningful.
You'll build the Context Graph, the Ontology Layer, the agent pipeline — the systems every model in the next decade will need to run inside an enterprise. Not features. Foundations.
Four co-founders. Eleven years working together at $1B+ fintech scale. You'll ship code reviewed by the CTO, see your work go to design partners within weeks, and own systems end-to-end without committee.
Pre-seed equity, sub-market salaries, high pace. The honest deal: meaningful ownership, real ambiguity, and a team that has shipped together before. Not for everyone.
The work is the architecture. The Context Graph and the Ontology Layer are the moat — you'll build them.
Build the systems that turn warm intros into design partners. GTM at AntHill is software, not slides.
Enterprise contracts hinge on this work. You'll own SOC2 from zero and build security into the architecture, not on top of it.
Salaries are below market. Equity is meaningful. Hours are real — not 996, but startup pace, and the first six months will demand more than the next eighteen. We work primarily from Bangalore with regular travel to the US. Founders are accessible. Ambiguity is constant. Every founding-team hire shapes the company they joined.
If you want maximum optionality and minimum risk, this is not the place. If you want to build infrastructure that compounds — on a team that has shipped together before — apply.
Send an email to careers@theanthill.ai with the role title in the subject. Include:
· A short paragraph on why this role specifically
· Your most recent work — code, writing, project, anything that shows how you think
· A LinkedIn or CV
We respond to every application within seven days. If we want to talk, the first call is with a founder.
