I
Impetora
Enterprise AI consultancy

Custom AI for enterprises in regulated industries.

You are a CIO at a regulated enterprise. Off-the-shelf AI says it is compliant. Your auditor disagrees. We build the systems that survive that conversation.

Document processing, customer support, internal knowledge, and decision support, designed for legal, debt collection, insurance, banking, healthcare, and logistics. Discovery in weeks, not quarters.

The shape of regulated AI

Three things that have to be true before the system goes live.

Extraction with the citation chain attached

A claims adjuster gets a 40-page policy turned into structured fields in seconds. Every value links back to the clause it came from. The reviewer verifies, signs, and moves on.

Human in the loop, by design

Routine work is resolved. Edge cases land on a human queue with the model's reasoning attached. The boundary between automated and reviewed is explicit, audited, and tunable.

Continuous evaluation, not a launch event

The system grades itself in production. Drift, hallucination rate, escalation patterns, regulatory changes. We see them before they hit your auditor.

Our methodology

TRACE. Four pillars, applied before a line of code.

The framework is documented and reviewed at the start of every engagement.

T

Trust

Data residency, audit trails, and AI Act alignment baked in before the build starts. We refuse architectures that cannot be audited.

R

Readiness

A two-week data and workflow audit before any code. We scope what is buildable on the foundation that exists, and flag what isn't.

A

Architecture

Production-grade systems, not proofs of concept. Versioned, observable, recoverable. Every component has a rollback path.

C

Citations

The system explains itself. Every output traceable to its source document, prompt, and decision step. The reviewer verifies in seconds.

Use cases

Worked examples, not case studies.

Document processing

Contracts, claims, and intake forms become structured data. The clause is cited on every line.

Citation chain on every output
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Customer support

Resolve tickets in your tone. Escalate the ones that should never have been automated, with reasoning attached.

Reasoning trail on every reply
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Internal knowledge

Search across your policies, contracts, and SOPs. Every answer links back to the source.

Source-linked answers
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Decision support

Recommendations with the evidence chain attached, so reviewers sign off in minutes instead of hours.

Evidence chain attached
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How we work together

Discovery, build, operate. The same on every engagement.

1

Discovery

1-2 weeks

A scoped audit of the data, the workflow, and the regulatory shape. You get a buildable scope, a refusal list, and a fixed quote. The audit is yours either way.

2

Build

4-12 weeks

We design, build, and ship inside the TRACE framework. Versioned releases, weekly check-ins, observable from day one.

3

Operate

Ongoing

Monitoring, incident response, model updates, regulatory drift checks. Hand-off path is documented from week one.

Our lineage

Impetora is the team behind Ainora.

Ainora is Lithuania's voice AI platform with live demos in production. Same engineering, same methodology, same residency posture extends to every Impetora engagement. Same team, broader scope.

Visit Ainora.lt
Compliance posture

Verifiable signals, not certification cosplay.

Where we are compliant, we say so. Where we are on track, we say that.

EU AI Act-aligned

Risk-tier mapping and obligation tracking applied to every system we build. Documented per engagement.

GDPR-native

Data residency, sub-processor disclosure, and right-to-explanation surfaces baked into the architecture.

ISO 27001 (track, audit 2026)

Information-security management mapped to ISO 27001 controls. Sub-processor table public.

EU data residency

Frankfurt, Stockholm, and Warsaw regions only. Verifiable in the sub-processor table.

Discovery call

Book a discovery call

Tell us what you would like to build. We reply within one business day.

30-minute call. Free of charge. No obligation.