The customer data platform that tells you the truth about your data.
Pulse resolves identities, scores people, governs sensitive fields, and activates audiences — and, unlike legacy CDPs, it never quietly drops, leaks, or fakes a result.
Legacy CDPs accept your data, then quietly lose the hard parts.
Pulse is built on one rule: a screen must never show you something that isn't true. Here's what that changes.
Accept your upload, then silently drop the rows that don't fit — you never find out.
Discloses every dropped row, with the reason — captured before the import is called done.
A read that failed shows up as "0 rows" — an error dressed as an empty result.
A failed read is shown as an error. Errored is not empty — and Pulse never confuses the two.
A masked field leaks through a side door — the summary prints the number the gauge hid.
A withheld value stays withheld everywhere it's read. Withheld is not empty, and never zero.
A score from last quarter's rules looks exactly as current as today's.
A score computed by older rules says so — "computed by an earlier version of the rules".
An import that collapsed 40k rows into 12k profiles still reports a "clean import".
Pulse tells you N rows became M profiles — and drops the "clean" badge when they don't match.
Score every person against your rules — and know when a score is stale.
Pulse recomputes scores as your rules and data change, and it's honest about every one of them.
- Bands, signals and reasons you can explain to a marketer — no black box.
- A score from an older ruleset is badged, not silently shown as current.
- An agent's manual override survives a recompute — an input, never overwritten.
- A withheld score reads as "withheld" by role — never as a misleading zero.
Everything a CDP does — done honestly.
Identity, governance, audiences and activation, each with the same refusal to fake a result.
Identity resolution
Stitch fragmented records into one real person — with guardrails. Try to re-key a stitch on data that already exists and Pulse refuses, showing exactly how many identities would split.
Governance & masking
Mask sensitive fields by role, everywhere they're read — profile, lookup, events feed and AI summary alike. No side channel prints what the gauge hid.
Audiences
Build audiences on real-time profiles and preview real membership before you activate — no guessing, and no silently-empty segment that "succeeds".
Activation & journeys
Send audiences to the tools you already use. A partial delivery is reported as partial, not success — you always know what actually shipped.
Ingest from anywhere. Activate everywhere.
Bring data in from files, apps and live events; unify, score and govern it in one place; push audiences to the tools your teams already use.
Ingest · sources
Activate · destinations
Real proof, not promises.
The honesty isn't a slogan — it's enforced underneath every screen. Every figure here is verifiable.
Honest by design
Reads, imports and scores never present an error, a loss, or a stale value as a clean current fact.
Masking that holds
Field-level masking by role across every read path — no summary, feed or lookup leaks a withheld value.
Identity with guardrails
A stitch key can't be silently re-keyed on live data — Pulse refuses and explains the impact.
Your data, isolated
Every tenant's data is separated by row-level security — one workspace can never read another's.
Security & compliance
GDPR-ready — consent is evaluated live on every activation run; access and sensitive fields are controlled by role; and your data stays in your own tenant, isolated by row-level security.
See Pulse on your data.
A short, guided walkthrough on a dataset like yours — scoring, identity, governance and activation, honest end to end.