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
OngoingNas.com (formerly Nas.io)
Sales and success teams that never let a hot lead go cold
AI agents inside Lark that work as extra members of Nas.com's sales and customer success teams, watching every lead and account in real time and telling the right person what to do next.
OngoingDepartment of Science and Technology
An AI assembly trainer and digital twin for manufacturers (DMAT-DTS)
A DOST-funded Digital Manufacturing Assembly Trainer and Digital Twin System that helps manufacturers train assembly staff, now approved, in classroom testing at DLSU, with two companies lined up for deployment.
Maya-7 CubeSat
Moving image analysis from the ground station into the satellite
An image classification hardware unit for the Maya-7 CubeSat, with a neural network running inside its microcontroller, so images are judged the moment they're captured instead of weeks later on the ground.
Let’s talk
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