Applied AI & Intelligent Systems
AI that holds up in production, and an evaluation suite to prove it.
What this covers
AI is easy to demonstrate and hard to run. We build agents, retrieval systems and LLM applications for real workloads, and no AI ships without an eval suite that says whether it works.
- 01
Agents and LLM systems
We design agents and language-model applications around a specific job, with clear limits on what they may decide and a person in the loop where the stakes require it.
- 02
Retrieval and memory
We build the retrieval, indexing and memory layers that ground a model in your own data, so answers are traceable to a source and stay current.
- 03
Model selection and tuning
We compare hosted and open models on your tasks, then fine-tune only where it pays. The choice rests on measured quality, latency and cost.
- 04
Evals and monitoring
We write the tests before the launch and keep running them after. Integrations, tracing and drift alerts show how the system behaves on real traffic.