AI integration that works inside your operations
We implement AI where it removes real work: assistants, LLM applications and agent-based workflows connected to your data and your existing systems, rather than standalone demos.
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What we build
AI assistants
Assistants for internal teams or customers, grounded in your own documents and processes.
LLM applications
Applications that use language models to extract, classify, summarize or generate structured output.
Knowledge systems
Search and question-answering over your internal knowledge, with sources you can check.
Agent-based workflows
Multi-step workflows where AI handles routine decisions and people review the exceptions.
How we work
- 01
Find the right use case
We identify where AI fits in your workflows, and where it does not.
- 02
Define data and guardrails
We set the data access, guardrails, review steps and integration approach.
- 03
Build and connect
We develop the AI system, connect it to your existing tools and deploy it.
- 04
Evaluate and refine
We evaluate output quality, and refine it as needed.
Considering AI for your team?
Describe the process you want to improve. We’ll tell you what is realistic.
Talk to an Engineer