In construction, a convincing sentence is not enough. When a dispute, audit or board decision arrives, the output must show what it stands on.

That is why Pelenoir first takes communication, attachments, commitments and decisions and turns them into a local, auditable foundation.

Trust starts only when the output has solid ground: database, indices, labels, metrics and a path back to sources.

LOCAL GDPR AI ACT ISO READY

Local

Data does not need to leave the company to become useful.

Pelenoir runs locally over project communication. Communication, documents, attachments, SQLite databases, FAISS indices, metrics and audit trail remain under company control.

Controlled model

The answer is generated only over prepared, traceable context.

Data, indices, labels, metrics and source links are built first. Only then does the model formulate an answer that can be checked back against the evidence.

Compliance

Processing rules have to be part of the system design.

Local execution, audit trail, context control and repeatable pipeline runs are technical requirements, not an add-on after deployment.

If a system cannot show provenance, it is an opinion.

If it cannot run in a regulated environment, it is a risk.

If it needs to send project memory outside the company, it is not infrastructure. It is hope.

Pelenoir is designed for the opposite: local execution, controlled models, auditable outputs and a computational foundation that can be verified even before the final answer is worded.