Built heads-down,
shipped relentlessly.

One email in — a complete identity portrait out, in about 90 seconds.

Social, developer and gaming platforms, breach databases, archives and metadata — run in parallel across 11+ categories.

A signature that persists across accounts, even when infrastructure rotates.

Accounts, breaches, domains and locations linked into personas, with confidence propagated across the graph.

See how the identities and organizations in a workspace connect — a people-and-entity view layered over the raw findings.

Exposure (footprint size) and threat (breach severity) measured as independent signals.

Coverage across multiple breach and leak databases, with timelines.

OFAC, EU and UN watchlists, plus corporate officer and directorship records.

Public court and registry records across the US, France and the UK.

Global news and media monitoring tied to the resolved identity.

Secondary identifiers surfaced from breach data and cross-referenced.

Multiple identities resolved, grouped and compared automatically.

A finding only attaches to a person when the match corroborates across signals — so a page that merely name-drops a company, or shares a common first name, never resolves to the wrong individual.

Source, confidence tier, cross-verification and first/last-seen on every result.

Machine-readable identity-exposure lookups for security pipelines — sourced evidence and corroboration, key-based access, never a singular verdict.

The exposure path is fully deterministic — no language model in the loop; any model-assisted extraction stays inside your environment.

On the discovery path, a local language model reads prose-heavy pages that pattern-based parsers miss — surfacing candidate people as review-only leads, never an automatic resolution. It runs inside your environment; no identity data is sent to a third-party LLM API.

Deterministic pixel-art portraits from the identity graph — zero GPU, zero external API.

A 5-page, plan-tiered report for every scan.