AI Agents & RAG Systems
AI teammates and assistants grounded in your own data.
We build AI agents that work alongside your team, watching pipelines and accounts and recommending next actions, plus retrieval-augmented generation (RAG) systems and assistants grounded in your content, evaluated against real questions, and built to be maintained.
What’s included
Everything you need to get it running and keep it running.
- AI agents that monitor pipelines and accounts and alert the right owner with recommended actions
- Document ingestion and chunking pipeline
- Hybrid (keyword + vector) retrieval
- Evaluation harness and quality reports
- Chat or API interface, plus usage analytics
Related work
Where we’ve done this before
Nas.com (formerly Nas.io)
AI sales and customer success agents for Nas.com
AI agents inside Lark that work as extra members of Nas.com's sales and success teams, watching deals and accounts in real time and telling the right person what to do next.
Maya-7 CubeSat
AI image classification for the Maya-7 CubeSat
Built and deployed AI image classification mission software for a Philippine CubeSat, fitting a neural network onto embedded satellite hardware.
Department of Science and Technology
Hybrid retrieval RAG research
DOST-funded research on retrieval-augmented generation for Philippine education, using a hybrid keyword-and-vector retrieval architecture.
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