Connect your data.Put AI to work.

Connect information across departments and existing systems with AI agents built for your workflows. We work with your teams from implementation through operation and improvement.

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Connect data across departments.
Put AI agents to work.

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Post-merger system and data integration

Connect fragmented systems and data to support coordinated operations after a merger.

Product structure

An ontology-based AI agent platform that learns from company knowledge and decision criteria, connecting data preparation, analysis, decisions and execution.

Action Layer

AI executes the decisions made by people or AI.

Decision Layer

People or AI make decisions using insights and business criteria.

Base Factory

Think Layer

Analyze information in context to generate insights.

Meaning Layer

Add meaning and relationships to structured information through an ontology that AI can understand.

Data Library

Structure company knowledge from existing systems, documents, ledgers and drawings.

Implementation

  1. Choose the workflow

    We review time-consuming tasks with your team and agree on what to automate and what people will review.

  2. Prepare data and connections

    We organize the documents and business data the AI needs, and check connections to your existing systems.

  3. Build and test the AI

    Our engineers build the AI agent and test its outputs and actions with your team using real work examples.

  4. Launch and improve

    We support day-to-day operation and improve the agent using feedback and exceptions from actual work.

Frequently asked questions

Where should we start?

Start with one workflow that takes time or relies on individual knowledge. We will discuss your needs and explore where AI Agents can help.

Do we need to organize our data first?

You can talk to us before your data is organized. Data preprocessing is part of our approach; available formats and integrations are assessed for your workflow.

What does an FDE do?

A Forward Deployed Engineer works closely with your team, connecting an understanding of your business with the technical work needed to implement AI Agents.

How much does implementation cost?

Scope, data preparation, integrations, and support needs vary by project. We discuss these with you before proposing the scope and cost.

Discuss AI for your business workflows.

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