The universal CRM for everything you run.
A traditional CRM organises records around one company's sales process. CustomerLedger organises memory around the human, then draws the boundaries between the businesses that share them.
Note: this is the CustomerLedger product at customerledger.ai, not the "CustomerLedger" table used as a generic naming example in SQL Server tutorials and documentation.
What it holds today
Each of these is a real surface with a measured state. Nothing on this page is described in the present tense unless the store supports it.
One customer identity
236 people and 422 endpoints. A phone number resolves to a person, not to a row per system.
Everything, in order
626 events across 5 businesses, each stamped with the one that captured it.
Calls and transcripts
604 call records across 25 agents, coalesced into readable turns. No audio is kept.
Permission with evidence
333 events, append only, each carrying the exact wording that was shown.
Boundaries in the data
Every fact stamped with a brand and an audience at write time. An unstampable write is rejected.
Provenance and chains
1485 observations carrying their source, and 4 append only tables.
Designed, and honestly labelled.
These have pages because the decisions behind them are real and worth reading. None of them has code. Each page says so at the top rather than in a footnote.
We do not ship trust as a promise. We ship it as a test.
26 criteria, each with a binary answer, and 4 green with an automated probe behind them today. 3 are failing right now, and we would rather name them: gate 13 (single-reader), gate 14 (cutover-hygiene), gate 22 (recording-absence).