Assistants, agents and models
AI that works on your data and your use case
We build assistants, retrieval systems and document tools around your own content, with evaluation and guardrails so the results are reliable enough to trust.
- Python
- OpenAI
- Anthropic
- LangChain
- pgvector
- FastAPI
Grounded in your data
Human review built in
Provider-independent
What is included
Everything in ai development, covered
AI assistants
Chat and voice assistants for customers or staff, tuned to your tone and policies.
Retrieval and search
Answers drawn from your documents, with sources shown to the reader.
Document intelligence
Extract, classify and summarize contracts, invoices and forms.
Agents and tools
Systems that call your APIs to take actions, with approval steps where needed.
Evaluation
Test sets and scoring so quality is measured, not guessed.
Privacy and safety
Access controls, redaction and clear data handling for sensitive content.
How we work
A clear path from brief to delivery
Step 1
Frame
Pick one narrow, valuable use case and define what good looks like.
Step 2
Prototype
A working demo on real examples within a couple of weeks.
Step 3
Evaluate
Measure accuracy, failure cases and cost before scaling.
Step 4
Deploy
Ship with monitoring, feedback loops and an update plan.
Tools we use
Proven tools, chosen for your project
We pick technology to fit your goals, team and budget, never the other way round. Typical choices for this service include:
- Python
- OpenAI
- Anthropic
- LangChain
- pgvector
- FastAPI
- Azure
- AWS
Related project · Concept
A concept assistant that reads your help center and past tickets to draft accurate replies for support agents.
FAQ
Questions about ai development
Which AI model do you use?
We choose per project. Hosted models are quick to start, while open models can suit strict privacy or cost goals. We explain the trade-offs and avoid lock-in.
Will the AI make things up?
Any language model can be wrong. We reduce this by grounding answers in your documents, showing sources and adding review steps for important actions.
Do you train models on our data?
Usually not. Most business use cases work better with retrieval than with training. If fine-tuning is justified, we explain why first.
Explore other services
Web, mobile and SaaS
Sites and online stores
Workflows and integrations
SEO, ads, social and email
Promos, reels and explainers
Product and interface design
Let's plan your ai development project
Tell us what you need. You will get a clear next step and a rough plan after a short call.