Start 08:15 23:00 06:12 07:00

Humans forget what changed. So does the AI you asked.

Every metric carries a history — a definition that moved, an experiment still running, an incident nobody linked to it. Anthill reads that history across your stack each night and brings you the part that changes the answer.

Waitlist opens August 2026 · shipping September 2026

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08:15 · yesterday

Five dashboards. Twenty questions. Nothing slipped, hopefully.

  • #product-analytics · "activation dipped — anyone?" · unanswered
  • Two dashboards · same metric, fourteen points apart
  • A merged pull request · changed the definition, linked nowhere
  • An experiment · past its end date, still splitting traffic
30–40 a week

Investigations one data team runs for everyone else.

60%

Of that time spent rebuilding context before the analysis starts.

Days

To an answer. The next release ships before it lands.

The answer existed before anyone went looking. So why did a human have to ask?

23:00 – 07:03

Nobody was awake. Anthill was.

Anthill is a context graph for your company, and a team of agents that reads it. It connects to the systems you already work in, learns how your business actually fits together, and works the night shift so the morning starts already answered.

0Specs and docs
0Messages
0Tickets and pull requests
0Warehouse tables
Scout

Read the specs, threads and releases behind every metric that moved this week.

Analyst

Recomputed each one from the warehouse, on every definition it has ever had.

Reviewer

Took the two that disagreed and kept the one that could name its source.

06:12

"Activation fell twelve points last week."

Activation never moved. The definition did.

Sourcemetric_defs.activation · changed in a merged PR
When14 Oct, 18:40 · three dashboards still read the old one
BasisThe entire drop sits inside the redefined window
StatusAnthill verified it. Owners assigned · stale dashboards flagged · thread answered

Anthill found this unprompted. An example, not a benchmark — the metric, the sources and the receipt will be your own.

07:00

Anthill figured out thirty things before you typed one question.

AAnthill read eight systems end to end. Confluence, Jira, Zendesk, Slack, Gmail, the CRM and last night's transcripts.
BIts four agents worked while you slept. Scout reads, Analyst recomputes, Risk scores, Writer drafts.
CIt stops and picks one. Thirty findings resolve to the single thing worth your attention first.
DYou arrive to a decision, not a dashboard. Evidence attached, reply already written.

It finds the signal, proves the case, and hands you the move.

Detect

It watches so you don't have to.

Cross-signal patterns surface on their own. No thresholds to set, no queries to write.

Explain

Every call arrives with its evidence.

The signals behind it, dated, cited, and traceable back to the source.

Act

The decision leaves the screen as work.

Review it, assign it, or let it run. From finding to outcome in one motion.

Two teams are reporting the same metric on definitions that stopped matching in October.
4 sources · 06:12 · verified

Three moves. The last one is the point.

Slack · Jira · Confluence · Git · GoogleReasoningContext graphAnthill agent
Connect

No migration, no new habits.

Your stack, read in place, inside the permissions you already enforce.

Understand

A living map of how the product actually works.

Metrics, releases, incidents and the decisions behind them: what was true, and what was known, when.

Bi-temporal16 entity typesPermission-aware
Act

A ranked queue of what needs you.

The question box is still there. The queue just comes first.

Cited evidencePrepared actionsAutomations

See Anthill work.

01Reply

Nothing slips off your plate. Ever.

Every thread still waiting on you — Slack, Gmail, the calendar invite you never answered — pulled into one queue with the reply already written from your own context. Read it, send it, it's gone.

SlackGmailCalendarDrafted from context
02Remember

Three years of institutional memory, assembling in front of you.

Watch it build itself forward through time: every metric, release, incident and decision wired to the moment it changed. So an answer knows what was true then, not just what is true now.

Bi-temporal26,228 nodes in this examplePermission-aware
03Answer

Ask in plain English. Get the receipts.

Not a paragraph that sounds right — a timeline of what actually happened, who owns it, what to do next, and every claim numbered back to the document it came from. Open the reasoning and read the steps yourself.

Cited to sourceReasoning you can openExport to PDF

The model isn't the moat. The context is.

Every team has frontier models now. A model can answer a question; it can't raise one, and it has no idea the metric definition quietly changed last October.

Dashboards & BIdescribe what happened. Anthill decides what's next.
Copilotswait to be asked. Anthill asks first.
Workflow automationexecutes decisions already made. Anthill makes them.
Data platformsfeed decisions. Anthill is the decision layer.

The context layer compounds with every interaction.

It reads everything, inside the permissions you already enforce.

PermissionsPeople see only what they could already see.
AuditEvery finding traces back to its source signals.
DeploymentYour cloud or ours, with data-residency options.
ComplianceSOC 2 Type II in progress. Documentation under NDA.

We didn't research this problem. We lived it.

We ran analytics, product and risk inside a fast-scaling fintech, and watched 50 analysts lose half their time to hunting context.

Nikhil Gundawar
Nikhil Gundawar
Co-founder & CEO
LinkedIn ↗
Aishwary Rathi
Aishwary Rathi
Co-founder & COO
LinkedIn ↗
Mihir Dash
Mihir Dash
Co-founder & CTO
LinkedIn ↗
Bhavuk Manocha
Bhavuk Manocha
Co-founder & Chief Solutions Officer
LinkedIn ↗

Ants don't have managers. They have context.Shared context is how a colony acts as one organism, and a company at thinking speed.

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A few design partners for 2026. Who's asking?
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And whose mornings are we changing?
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What did you find out three weeks after it shipped?
Founding-team access · a live context graph in two weeks
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On the live site this posts to Convex (CONVEX_HTTP_URL/submit).
Product, data and engineering leaders Metrics more than one team defines Already in Slack, Confluence and Jira Shipping faster than anyone can document