Territory intelligence for displacement sellers.

More data was never the answer

Every sales-intelligence tool sells more: more contacts, more emails, more intent signals. None of them answer the question that actually wins enterprise displacement deals: who is the incumbent, and when does their contract expire?

So the real system of record becomes a spreadsheet, a CRM nobody updates, and the rep's memory. Renewal windows pass unnoticed. Competitive intel lives in a drawer. The Monday-morning question, where should I focus this week, gets answered by gut feel.

An intelligence layer between data and action

Recon maps an entire addressable market: every account, its current provider, its pricing, its renewal window, its buying ecosystem. Then it compresses all of that into one operating surface a rep actually opens every day.

It is not a CRM and not a data vendor. It is the cockpit for working a territory like a campaign: find the incumbent's weakness, time the approach, run the play, measure the reply. Built by a sales director who carries a quota, for any market where the prospect already has somebody: benefits, insurance, software, logistics, facilities.

Five surfaces, one operating rhythm

Each surface answers one working question, and they all read from the same live data spine.

• Today: the morning dashboard. Overdue next steps, AI drafts waiting for review, renewal windows opening, every action inline.
• Accounts: a dense, filterable command table of the whole market, with a peek panel that shows provider, renewal window, and next step without leaving the list.
• The map: every account plotted and colored by who holds it, sized by contract value. You can see a competitor's book of business, province by province.
• Outreach: AI-drafted emails grounded in the account's real signals, pricing history, and battlecards, with sequences that report honest reply metrics.
• Ask Recon: a conversational analyst over everything. Which incumbent-held accounts renew inside 180 days? It queries the live database and proposes the action.

AI that asks before it writes

Every AI write, from a one-line stage change to a bulk update across two hundred accounts, lands as a proposal the rep confirms before anything touches the database. Full preview, full provenance, one click to apply or discard. The automation is auditable by architecture, not by policy.

The knowledge layer fights for the deal: a battlecard library of competitive intel, objection handling, and win stories is injected into every email draft automatically, and it is built per market, not hard-coded to one. The AI gateway is bring-your-own-keys, so drafting, scoring, and enrichment route to the providers the client contracts, including local models for privacy-critical work. Every external call is logged with cost and provenance.

Timed displacement instead of cold prospecting

Tracking the incumbent, the pricing, and the renewal window turns prospecting into timing: you are not asking whether they will buy, you are showing up months before they decide again.

The whole system is modular by design. Segments, scoring rules, battlecards, pipeline stages, and AI providers are configured per market, so the same platform that runs an employee-benefits territory works for insurance, software, logistics, or facilities. Recon runs in daily production behind single sign-on for a four-person enterprise team, with 594 automated tests and a dual-model adversarial review gating every release: a competing AI reviews the code before it ships.