Approval & workflow automation
Systems that read documents, run multi-party approval logic, and keep an auditable trail — so a decision can always be explained.
Service
AI solution development
LLM and RAG systems that read documents, run multi-party logic, and keep an auditable trail — grounded, cited, and honest when they don't know.
Generative AI is only useful in operations when it is grounded and accountable — answering from your material, citing its sources, and admitting uncertainty instead of inventing.
BIS builds LLM and RAG systems the way production software is built: retrieval you can inspect, evaluation against expert review, and guardrails that keep the output honest.
What we build
AI that automates the work, not the risk
The founder currently ships LLM systems for legal research, contract review, and document analysis — retrieval over confidential material, evaluation of model output against counsel review, and the redaction pipeline that made the corpus usable at all. The same patterns apply anywhere documents drive decisions.
Retrieval (RAG) done right
Grounded answers over your own corpus, with citations and a refusal when nothing clears the bar — not a confident hallucination.
Evaluation & safety
Model output measured against expert review, with anonymisation and redaction where the data is sensitive.
Data extraction at scale
Turn unstructured documents, images, and feeds into structured, queryable data your systems can act on.
Proof
See a grounded assistant work
This very site runs a closed RAG assistant that answers only from curated material about BIS — grounded, cited, and honest when it doesn't know. Ask it anything, then imagine it pointed at your operation.
Have a problem worth solving?
We start with a conversation, prove the value on a focused POC with your real data, then ship it — measurable ROI, not a model demo.