SERVICES / AI & Data
RAG & Knowledge Systems
Connect your business knowledge to intelligent applications that answer with sources.
the problem
Why thisis hard.
AI is easy to demo and hard to ship. Data access, evaluation, cost control, guardrails and a real UX are what separate a prototype from a production system people trust.
our approach
How Alisyshandles it.
We build AI into products where it creates real value — agents that do work, retrieval over your own data, automation that removes the busywork — with sensible evaluation, cost limits and human fallbacks.
capabilities
What'sincluded.
LLM & model integration
Retrieval-augmented generation (RAG)
AI agents & tool use
Workflow & process automation
Data pipelines & embeddings
Evaluation, guardrails & cost control
MLOps & monitoring
technology
What webuild with.
- OpenAI
- Anthropic
- Gemini
- LangChain
- Llama
- PyTorch
- TensorFlow
- Python
- FastAPI
- Vector databases
- Pandas
process
How wework.
- 01DiscoverUnderstand the business, users, constraints and what success looks like.
- 02Define & planTurn findings into a scoped, prioritised delivery plan.
- 03Design & buildWork in reviewable increments so you see progress early.
- 04Test & launchAutomated and manual QA against the spec, then ship carefully.
- 05Support & scaleMonitor, patch and grow the product after launch.
start
Planning a RAG & Knowledge Systems project?
Tell us what you're building. We'll come back with a clear view of scope, approach and timeline.