Semantic Engine

How It Delivers Intelligence

Semantic Engine

How It Delivers Intelligence

Input

Documents, PDFs & policies

Data, comments & spreadsheets

Expert examples & schema

Input

Documents, PDFs & policies

Data, comments & spreadsheets

Expert examples & schema

From messy information to usable outputs

Understand and structure complex information

Create reliable outputs for teams & systems

Power agents, workflows & automation

From messy information to usable outputs

Understand and structure complex information

Create reliable outputs for teams & systems

Power agents, workflows & automation

ABOUT US

About Braigent

Braigent is building an AI semantic engine for organizations working with complex information.

Braigent exists to help businesses understand, structure, and use messy information more reliably, whether that information lives in documents, datasets, PDFs, comments, policies, or other unstructured sources.

What we are building

A proprietary enterprise
AI platform

Braigent is a proprietary enterprise AI platform built around a semantic engine. It is designed to help organizations turn complex information into structured, reliable outputs and workflows that teams can actually use.

This can support use cases such as document understanding, expert AI agents, classification, review, workflow support, and other applied enterprise scenarios where meaning, consistency, and usability matter.

Why Braigent exists

Across industries, many important workflows still depend on manual interpretation of documents, data, and domain knowledge.

That slows teams down, creates inconsistency, and makes it harder to scale important work.

Braigent is being built to address that challenge by helping organizations work with complex information in a more structured, reliable, and usable way.

Where we are today

Enterprise proof-of-concept

Enterprise
proof-of-concept

Braigent is currently in the enterprise proof-of-concept stage.

The product is being developed through applied enterprise use cases, with a focus on reliability, structured outputs, and real workflow relevance.

Commercial launch is planned for Q2 2026.

At the current stage, Braigent is delivered through an API-first model and runs on Google Cloud for proof-of-concept deployments.

Built in connection with Gameopedia

Braigent is being developed in connection with Gameopedia. That connection reflects experience in structured data, enterprise delivery, and building products that help businesses make better use of complex information.

Braigent represents a continued investment in applied AI and enterprise workflows, with a focus on turning complexity into something more usable, reliable, and scalable.

Visit Gameopedia

Built in connection with Gameopedia

Braigent is being developed in connection with Gameopedia. That connection reflects experience in structured data, enterprise delivery, and building products that help businesses make better use of complex information.

Braigent represents a continued investment in applied AI and enterprise workflows, with a focus on turning complexity into something more usable, reliable, and scalable.

Visit Gameopedia

The team behind Braigent

A cross-functional team for enterprise AI

Braigent is led by an experienced team spanning entrepreneurship, enterprise technology, artificial intelligence, operations, people, and growth.

A focused woman with long red hair is seated at a desk, wearing a black blazer and dark blouse. She intently looks at camera, smiling slightly, with an open laptop in front of her. The setting is a warm and serene office setup in the background. Soft daylight filters through, creating a calm atmosphere. The composition captures her in a frontal profile with a clear emphasis on her concentration and the serene indoor setting.

Frode Krisner

Founder & Co-CEO

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Karan Madon

Co-Founder & Operations

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Ole Torsvik

Co-CEO

A focused woman with long red hair is seated at a desk, wearing a black blazer and dark blouse. She intently looks at camera, smiling slightly, with an open laptop in front of her. The setting is a warm and serene office setup in the background. Soft daylight filters through, creating a calm atmosphere. The composition captures her in a frontal profile with a clear emphasis on her concentration and the serene indoor setting.

Lars Joakim Nilsson

Engineering

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Erick Arnberg

VP of Growth

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Tulsi Behura

People

How we think about AI

Practical, useful,
enterprise-ready

We believe AI becomes valuable when it helps organizations work with real complexity in a more structured and reliable way. For us, that means focusing on practical business use, clear workflow relevance, and outputs that can be applied in context, not just generated in isolation.

Braigent is being built with that mindset: combine strong technical foundations with real enterprise usefulness.

Practical over generative

AI that works in real workflows

Workflow relevance

Outputs applied in context

Technical + useful

Strong foundations, real usability

Interested in what Braigent could
support in your organization?

Interested in what Braigent could
support in your organization?

If your team works with complex information, manual review, or domain-heavy workflows, Braigent may be able to help bring more structure, consistency, and usability into that process.

If your team works with complex information, manual review, or domain-heavy workflows, Braigent may be able to help bring more structure, consistency, and usability into that process.

Request a Demo

Request a Demo