Raw data,into decisions
We build and operate AI systems for public institutions, enterprises and consumers — on one core, PRISM, that turns collection, structuring and retrieval into services that run every day.
One AI core.
Every domain.
One pipeline, six stages
Collect → Structure → Embed → Retrieve & match → Generate → Serve. Every AI service repeats these steps; PRISM makes them one interface.
Verified extraction
Rules lock in the high-confidence fields first; the LLM only fills what is left. Hallucination is blocked by structure, not by hope.
Adapter architecture
Procurement notices, regulations, scholarships, market data — each domain is an adapter. Swap the adapter, keep the core.
Built to run daily
Designed for pipelines that execute every morning, not demos that run once. Our own products are the first users.
Three steps.
Any domain.
1from prism import Pipeline2from adapters import bid_notice34pipe = Pipeline(adapter=bid_notice)5pipe.collect(source="g2b.go.kr")
Small team.
Systems that run.
Boring where it should be.
Sharp where it matters.
Proven infrastructure underneath, current LLMs on top. This is what our products run on today.
Straight talk,
running code.
SIA is a small software company that builds public and enterprise systems and applied AI — and keeps operating them after launch. These are the registrations we hold and the way we work.
Only what we can prove
No inflated references, no borrowed metrics. If it is on this page, we can show you the running system.
Designed for operation
We design for the pipeline that runs tomorrow morning, not the demo that runs once. Monitoring and retries are part of the build.
Small, senior, direct
You work with the engineer who designs and builds the system. Decisions take a conversation, not a meeting series.
We use what we sell
Our procurement, market data and content pipelines run on PRISM daily. We hit the rough edges before you do.
Have a problem
AI should solve?
Systems integration, AI adoption, automation. Tell us the situation and we reply within a day — from the engineer who would build it.
31 Seocheon-ro 201beon-gil, 3F 315-B11, Giheung-gu, Yongin, Korea