AI & Automation
Practical AI: LLM-powered features, retrieval over your own documents, and workflow automation, designed with evaluation and guardrails so it works reliably, not just in a demo.
What you get
- Use-case assessment and feasibility check
- Prototype with measurable evaluation
- Production integration and monitoring
- Data privacy and guardrail design
Why it matters
- Start with a small, testable pilot
- Honest view of what AI can and can't do for you
- Privacy-aware designs for sensitive data
How we deliver
- 01 Discovery
- 02 Planning
- 03 Design
- 04 Development
- 05 QA
- 06 Launch & Support
Technology
- Python
- LLM APIs
- Vector databases
- RAG
- TypeScript
Questions
Can AI run on our private data?
Yes. We design retrieval and access controls so only permitted data is used, and can use self-hosted or enterprise-API models where required.
How do you measure quality?
We define evaluation sets with you up front and track them as the system changes.
Related services
Let's build something worth shipping
A 30-minute call is enough to tell you whether we're the right fit.
Book a free consultation