Layer · Intelligence
AI features that cite their sources, explain themselves and earn trust.
01What it involves
We build retrieval-augmented assistants, document intelligence and forecasting into real products, with guardrails, evaluation and a clear view of what the model does and does not know.
Answers grounded in your own documents
Evaluation before and after launch
Privacy by design
02What you get
01
Retrieval-augmented assistants
Answers from your documents, with citations.
02
Document intelligence
Extraction, classification and review.
03
Forecasting
Demand and trend models with explanations.
04
Evaluation
Measured accuracy before anything ships.
05
Guardrails
Refusals and escalation when sources are thin.
06
Private deployment
Your data stays in your environment.
03Tools we use
- Python
- FastAPI
- pgvector
- LangChain
- OpenAI
Work in this service
04Questions
Will the AI make things up?
We design systems to answer only from retrieved sources and to say when they cannot. We measure this before launch.
Is our data used to train models?
No, unless you explicitly choose that.
Which models do you use?
Whichever fits the task and your privacy requirements, including hosted and self-hosted options.