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Reltime
Deep tech for regulation

Make proof as easy as writing a sentence.

Rules as code, with independent proof.

Compliance is still built by hand. Lawyers read, consultants translate, engineers wire, and evidence is gathered when the supervisor calls. AI Brain turns an obligation into a running application on a template, against the systems you already run.

One plain-language description becomes a running application.

Concept illustration
Step 1 of 3

  1. 01

    Generate

    You name the obligation and describe your systems. AI Brain selects the workflow and builds the application against your APIs.

  2. Human review and approval

  3. 02

    Approve

    You review it with your counsel or auditor. The approval is anchored like any other event.

  4. 03

    Run

    Every event is sealed with the rule version that applied. Reports are drafted straight from the record.

Concept illustration

IntegrationInterfacesRule pack⏸ Review and approve

  • Integration

    Secure REST APIs with OpenAPI documentation that capture events at the source.

  • Interfaces

    Role-specific dashboards with zero trust access, checked on every call.

  • Rule packs

    Versioned, machine-readable controls translated from the regulation and approved by your responsible lawyer.

Banking

“Connect to our core banking APIs. We must meet AML rules and DORA. Give compliance, the board and customers their own interface with BankID login.”
→ A zero trust portal with live AML alerts. Customer data never leaves the bank.

Defence

“Build a cyber incident and role-based access solution tied to our security classifications.”
→ Access bound to each operator's identity and each document's classification.

Health

“Patient data stored securely. An external auditor must prove file integrity and who accessed records.”
→ Keyed fingerprints on the network, records encrypted off it, roles enforced.

Industry

“Prove battery chain of custody, even when our scanners work offline.”
→ Machines carry their own identity and seal events locally, then re-anchor on reconnection.

Own model

AI Brain runs on Reltime's own language model. Customer descriptions stay within Reltime's control.

The human approves

Nothing runs before your approval. Responsibility stays where the regulation puts it.

Every version on record

Template, generated application and approval are anchored. A supervisor sees which rule applied to which event on which date.

Bounded by the template

Generation fills a known structure against known APIs. Output stays predictable and testable.

Ethical AI

Bounded templates, human approval gates and every version on record.

  1. In place today

    The generation environment, the template structure and the bindings to the API catalogue and the network.

  2. In build

    The first workflows, starting with the Cyber Resilience Act and identity verification.

  3. Next

    The full library for all eight regulatory areas, then new obligations as markets require.

Discuss an AI Brain pilot