Structured records and data contracts.
Trusted Data Plane for regulated evidence workflows
Turn fragmented data into review-ready evidence.
3BrainAI helps banks, public institutions and enterprises convert uncertain operational, project and record data into trusted outputs with provenance, explicit uncertainty, review state and audit trail.
We do not build another raw-data dashboard or black-box AI wrapper. We build governed evidence workflows for environments where trust, accountability and reviewability matter.
Trusted Data Plane
Confidence, reason codes and review states.
Review-ready outputs with provenance.
Safe publish, escalation and audit trail.
Practical starting points
Where this becomes useful
Trusted evidence workflows become valuable when a team already has data, reports and controls, but cannot easily compare evidence, route attention or defend the review trail later.
A project looks fine on paper, but progress signals weaken.
Use CRI to create a review-ready Evidence Pack before the next formal control point.
A portfolio has more assets than the team can review deeply every cycle.
Use Evidence Packs to route attention toward WATCH and INVESTIGATE cases.
A decision may need to be defended later.
Use versioned evidence to show what was known, when, why and with what uncertainty.
The hard part is not getting more data. The hard part is trusting what it means.
Banks, public institutions and large organisations already have reports, files, updates, systems and external evidence. The problem is that critical decisions still depend on fragmented inputs, hidden uncertainty and manual reconstruction of what was known, when and why.
Trusted outputs people can review.
Trusted Records
Structured, versioned records with provenance, ownership and review state.
Evidence Packs
Short review-ready artefacts with status, confidence, reason codes and explicit uncertainty.
Safe Action Workflows
Review gates, controlled publishing, escalation, rollback and audit trail.
One data plane. Flagship evidence workflow first.
Flagship applied track
CRI
Construction Risk Intelligence turns project context, operational data and Earth Observation signals into Evidence Packs for banks, infrastructure owners, insurers and regulated asset-risk workflows.
Reusable record layer
Records
The same governance discipline can structure catalog, registry and enterprise records for consistent outputs across public institutions, cities, corporates and regulated workflows.
Partner extension
Verifiable trust records
For selected partners, trusted records and Evidence Packs can be extended into machine-verifiable audit trails, credentialed review states and cross-border trust workflows.
From one case to a repeatable workflow.
A customer usually starts small. The first goal is not a full rollout, but a safe way to test whether the evidence output is readable, useful and routable inside the organisation.
Start with one case
Select a project, asset, portfolio sample or record workflow where the evidence trail is fragmented.
Validate in shadow mode
Evidence Packs or trusted records are reviewed in parallel with the existing process. They do not replace current controls.
Expand when useful
If the output works for reviewers, the same pattern can expand to more assets, records, teams or regions.
The business model grows from recurring trusted outputs, not from raw data, generic AI usage or one-off reports.
Validation starts where requirements are strict.
We validate first in demanding European environments, with a strong focus on DACH-facing requirements and selected CEE use cases. After workflow validation, the same operating pattern can expand across Europe and, depending on the domain, to selected non-European markets.
Public ecosystem signals
Public ecosystem signals include OVHcloud Startup Program and EY Startup Academy Frankfurt. Additional validation and partner discussions remain NDA-bound until approved for public disclosure.