TESSE

AI-native GTM for real estate

Product overview

Find the right prospect, at the right time
with the right context.

Discover. Analyze. Act.

Database and enrichment under one roof, AI research on top, then take action - instead of juggling six disconnected tools.

Ask in plain language - get the graph, not a summary

One prompt pulls ownership, loans, funds, tenants, contacts, and timing - the layers that stay scattered everywhere else.

AI Assist

Example prompt

Who should I call this week - with a why-now rationale tied to the record.

01Map the record trail to contacts
02Connect debt, tenants, funds, and timing
03Draft the next move with cites

Live market context

One prompt becomes targets, triggers, and context you can act on - not a wall of text.

Signals in scope

The answer is assembled from the graph layers that matter - loan maturing, lease rolling, permit filed, ownership shift - not a generic blurb.

Records

DeedsTaxes

Assets

ParcelsLiens

Occupancy

TenantsLeases

Capital

FundsMortgages

Ask once, then move into named opportunities, verified context, and next-step drafting your team can trust.

Parcels, firms, and people - one GTM surface

Three workflows that mirror how deals actually get sourced: find the asset, understand the entity, reach the person - with traceable context before you reach out.

Find Properties

Discover parcels with ownership, debt, filings, liens, taxes, permits, and tenants in one search - the signals that stay invisible unless you are watching.

  • Fund life winding down; ownership worth another look
  • Loan maturing in the next 12 months
  • Permits and tenants that change the story

Find Companies

Surface investors, lenders, brokers, tenants, and operators from real activity - not stale directories.

  • Who is buying or selling in your patch
  • Tenants expanding or contracting
  • Lenders active in your asset class

Find People

Reach the decision-maker inside the firm - with ownership and deal context, not a cold list.

  • Capital markets lead at multifamily owners
  • Dispositions lead when the fund is in motion
  • Loan officer who funds your deal type

The full data graph, in one place

Ownership, loans, funds, transactions, tenants, contacts - relative scale of layers you can query as one market, not siloed feeds.

Parcels
165M+
Companies
28M+
Contacts
326M+
Transactions
1B+

Bar lengths show relative volume within each layer - not a single comparable unit across categories.

When the graph connects, GTM gets faster

Same universe as the coverage chart - here the point is what you can do once parcels, firms, and people resolve to each other.

0M +

Properties

Parcel-level facts tied to ownership, debt, and filings so you do not re-pull the same record twice

0M +

Companies

Investors, lenders, brokers, tenants, operators - surfaced by activity, not name-only directories

0M +

Contacts

Decision-makers linked to entities and deals - so outreach starts with context, not cold intros

Questions we hear early

Trust, fit, and how we ship - so you know what you're opting into.

An AI-native GTM platform for real estate: unified property and market data, enrichment from many leading providers, AI research on top, and workflows from discovery to action - with citations and traceability, not generic blurbs.
Outputs are tied to the records and filters behind them. You can see what was searched, what was joined, and what to verify before you act - so judgment stays yours.
Anyone in the deal ecosystem who needs to turn signals into lists and action: investment firms, brokers, lenders, asset and property managers, and operators who live in ownership, debt, tenants, and market activity - and need speed without giving up rigor.
Waitlist members get first access to new GTM capabilities and feedback channels as we expand the data graph, enrichments, and workflows. We'll be explicit about what's in each release.
Enrichment is designed as layers you control - so you can combine public and partner data with internal context where your policies allow.
We bias toward structured retrieval, explicit joins, and user-visible context over free-form invention. When the model drafts, it should point to what it relied on - so you can correct before anything goes out the door.

Get early access to the GTM workspace

Join the waitlist for the graph-backed workspace: discovery, enrichment, AI research, and execution - with room for your team's judgment.