BetaAll features on site are aspirational and under active development. Seeking BETA partners to codevelop a custom implementation within your network under your governance.
Now taking mid-market and enterprise pilots

Agentic intelligence.
For revenue teams.

Agentic Intelligence layer for GTM. Built for Sales.

A layer that sits above your GTM stack — reads what your tools already emit, takes governed action 24/7, and hands reps live next-moves instead of data-entry.

Illustration of an agent swarm orchestrating a revenue pipeline

Reads across the stack you already run

Salesforce
HubSpot
Gong
Outreach
Microsoft Teams
Snowflake
The problem

Every revenue org runs on data nothing thinks across.

Salesforce, Gong, Outreach, HubSpot — each one a screen on a database, each throwing off data, none designed to reason across the others. The identical complaint runs from front-line reps to the VP who owns the number. It's structural.

Reps buried in system updates

CRM's original intent is lost — it's a database where reps pause selling to enter data so executives can report on it. They resent it, under-maintain it. Executives distrust it because it isn't maintained.

The meeting-prep tax

A cascade of pipeline reviews, forecast meetings, and executive updates — each one more research, prep, and PowerPoint, all to recreate a single source of truth the system should have produced on its own.

Scattered activity that never becomes insight

Teams calls, Slack, Outlook, Zoom transcripts — the raw material was there the whole time. At scale it pools in a data lake and sits there, inert. Stranded gold under layers of data sediment.

What we're building

A layer that runs the background functions of the revenue org — without conscious effort.

Agents pull from internal systems and the open web 24/7. It removes work; it doesn't add a screen to log into.

Share-of-wallet, automatically

Calculates that you hold 12% share at a key account, models what the other 88% is worth, and hands the rep the analysis to go take it.

Silent-churn detection

Watches every account, customer and not, and catches what humans miss — a long-standing account that quietly stopped ordering a line, flagged as an early churn signal before anyone noticed the gap.

Autonomous outreach on lapsed accounts

It doesn't just flag it — it reaches out to find out why the orders stopped, then routes the thread to the right rep with the context attached.

CRM hygiene from what actually happened

Reads Teams calls, email threads, meeting transcripts, and updates CRM structured fields from reality — pending one-click approval, so the record stays true without a rep touching a form.

The framing

Not another tool on the pile. It sits above the stack and feeds on what the other tools already produce. It doesn't add a screen — it removes work.

An intelligence layer sitting above the existing GTM stack
What makes us different

Six things we do — better.

The full positioning matrix lists what we do, what we do better, and what — by design — we don't. Here are the six we do better than anyone.
WE DO IT — BETTER

Agent swarm orchestration

The orchestration layer is the core — governed, cost-aware, running above your stack.

WE DO IT — BETTER

CRM hygiene / auto next-steps

The 'update the CRM automatically' use case, governed with human-in-the-loop above a set risk line.

WE DO IT — BETTER

Bidirectional CRM sync

Structured writes back to Salesforce/SAP — governed, confidence-gated, audit-logged. No new object model.

WE DO IT — BETTER

Command with citations

Auditability is native: every action logs model, cost, and source. The audit trail isn't optional.

WE DO IT — BETTER

Reply agent / auto-book

Governed autonomous sends and bookings — human-in-the-loop thresholds tuned to your risk.

WE DO IT — BETTER

One data model, in your environment

Runs in your environment, data never leaves your network. No custody trade-off to negotiate.

What it's worth, by who feels it

Three shifts, one layer.

A sales team augmented by AI agents
Reps

The relationship inverts.

Today reps feed the tools. With the autonomic layer, the tools feed them — handing over live, prioritized actions instead of demanding data entry.

Managers, directors, VPs

Their time comes back.

Research, validation, and reconciliation run continuously — so the picture arrives already validated and the meeting cascade largely disappears.

Executives & Finance

Insight on demand.

Reliable insight instead of PowerPoint theater on stale data — and a lower cost of revenue: fewer SDRs, falling CAC, managed inference spend.

The moat

Why it keeps getting better.

Cheaper to win each customer — automatically.

An SDR team grows one way: more heads, more cost, more attrition. Our system does the opposite. Every outreach is watched, and the next round is a little smarter. Marginal cost trends toward inference — CAC bends down with scale.

The data moat.

Generic web data is commoditized dirt. What no one else can buy is what we learn working your territory — which moves win deals for you, which leads are worth chasing, where the next opportunity is hiding.

Revenue flywheel with orbital data particles

Start with insight. Earn the write. Extend outward.

Every engagement lands on read-only insight, proves the layer reads reality correctly, then expands into governed action and net-new demand — on your systems, in your environment.