AI & Automation
AI Development
We build AI features that do a specific job well: retrieval over your documents, structured extraction, classification, generation with guardrails. The goal is a system your team can rely on, not a demo.
The problem
What usually brings teams here
- Teams spend hours reading, sorting and rewriting the same information.
- Model output is impressive in a demo and unreliable in production.
- Company knowledge is scattered across tools and nobody can query it.
Capabilities
What we deliver
RAG systems
Retrieval pipelines over your documents with citations and evaluation.
Model integration
LLM APIs wired into products with streaming, caching and cost control.
Structured extraction
Turning unstructured documents and messages into typed, validated data.
Evaluation
Test sets and scoring so quality is measured, not assumed.
Technology
What we build it with
How we work
- 01Define the task precisely
- 02Build a baseline
- 03Measure, then improve
- 04Ship behind guardrails
Industries
Where this applies
FAQ
Common questions
- Do you train custom models?
- Usually not. Most business problems are solved better and cheaper with retrieval, prompting, structured output and good evaluation on top of existing models.
- Where does our data live?
- In infrastructure you own. We design for data boundaries from the first architecture conversation.
Start here
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