Built for professional
services firms.

The work that slows professional services firms down — filing, classifying, chasing deadlines, writing up call notes — is largely predictable. Predictable work can be automated. Vaedra does that, accurately and consistently, leaving your people to do the work that requires their judgement.

The four capabilities — document processing, deadline extraction, knowledge base, and call processing — are built on the same on-premises infrastructure and designed to complement each other. Each is deployable independently. Start where the friction is greatest.

Every Vaedra capability includes a human review step before any consequential action is taken. Deadlines are identified and flagged — but a member of staff confirms each one before a reminder is created. Action items are extracted from calls — but a member of staff approves each one before it enters the task system. Documents are processed and classified — but those flagged for review don't move on without human confirmation.

The system is designed to reduce friction, not remove accountability. Automation that acts unilaterally is automation that can make unilateral mistakes. That is not what we build.

Every Vaedra deployment runs on your own hardware. Documents, recordings, and correspondence never leave your network. The AI models that drive classification, extraction, and summarisation run locally — there is no cloud dependency for any processing task.

This is not a privacy feature layered over a cloud architecture. It is the architecture. For professional services firms handling client correspondence, financial records, and regulated information, the data never needs to leave the building.

The entire technology stack is built on open-source components with open licences — no vendor lock-in, no proprietary data formats, no subscription dependency for processing capability.