Enterprise access

Independent verification of on-chain history before and after capital movement.

Reconstruction support for incidents, disputes and internal review.

Technical reconstruction that survives scrutiny, delivered with provenance.

Independent assessment of what on-chain evidence supports in a claim.

Neutral, methodology-first blockchain research without speculation.

Structural research across a protocol's own historical state.

Datasets, ranges and questions defined in writing before work begins.

Findings tied to manifests and verification records, not screenshots.

Access to the Forensics division for incident-driven reconstruction.

Engine-derived output only after Engine validation completes.

Programmatic access to intelligence surfaces under agreement.

Named researcher contact and agreed response expectations.

Research starts with blockchain-native data read directly from chain nodes, not from third-party summaries.

Objects and relationships are reconstructed deterministically, so the same source range produces the same result.

Source identifiers stay attached to analytical results — block height, transaction, and object identity travel with the finding.

Critical findings can be independently re-checked against the source chain rather than accepted on trust.

Research stages may be cryptographically bound through manifest hashes recorded alongside each run.

Operational failures are detected and recovered without silently rewriting evidence; integrity failures stop the pipeline instead.