AI for regulated industries
A new type of AI architecture
The Boreal Governance Layer. Deterministic retrieval, sentence-level provenance, and a patented Matcher + Compiler architecture - built so the answer can be traced to a real source.
What you can rely on.
Enterprise search reimagined. The Formic Engine is the application built on top of the Boreal Governance Layer - and it carries three guarantees that no probabilistic system can match.
Your files, or no files.
The Engine can only provide responses based on the files you've granted it access to. No model memory. No drift to information from elsewhere.
Prove the negative.
When the information you asked for can't be found, the Engine tells you so -clearly, with no fabrication. The absence of an answer is itself an answer.
Intuitive referencing.
Every answer comes with hallucination-proof citations. Click any citation and the source document opens to the exact page and line. Verification takes one click - not an audit.
Standard AI guesses.
Boreal retrieves.
Most enterprise AI runs on probability - it generates the next word it thinks is likely, then asks you to verify whether the answer is real. Boreal replaces the unpredictable "Black Box" of standard models with a clear, structured system. By separating the ability to speak fluently from a grounded database of facts, we eliminate AI hallucinations and ensure every answer can be traced directly back to its original source.
Your Documents
Any format, any volume - only files you grant access to
Boreal Governance Layer
Recursive Decomposition → Knowledge Graph → Matcher + Compiler
verified answer
With sentence-level provenance - click to the exact source
Reliability
A Deterministic Governance Layer.
Traditional AI operates on probability - essentially guessing the next word in a sequence based on statistical likelihood. This stochastic nature is the root cause of hallucinations. Boreal solves this by acting as a deterministic governance layer: every output is verified against your data before delivery. The architecture mathematically cannot fabricate.
EXPLAINABILITY
Auditable, Sentence-Level Provenance.
Most enterprise AI systems lack traceability, and all of them are unauditable, leaving you unable to verify where an answer originated. Boreal replaces this opacity with Audit Logs and Sentence-Level Provenance: every individual fact is tagged with lineage parameters that point to the exact file, page, and paragraph it came from. Our Audit Logs explain exactly how Boreal understood your question, how it retrieved and used your data, and how it constructed its response.
Efficiency
Computational Optimisation.
The current industry trend relies on brute-force computation, requiring massive GPU clusters that are expensive and environmentally taxing. Boreal replaces transformer self-attention with graph-based symbolic processing - reducing compute by approximately 95% versus standard retrieval-augmented systems. The result: enterprise-scale AI that runs on standard hardware, in any environment.
Structure
Recursive Decomposition.
At the heart of Boreal is Recursive Decomposition, a patented method of transforming unstructured text into a high-fidelity Knowledge Graph. Where most systems lose nuance turning complex documents into simplified mathematical lists, Recursive Decomposition preserves the relationships between concepts and entities - making it possible to retrieve answers, not just probable strings.
Wherever your data has to live.
Because Boreal doesn't depend on GPU clusters, it can run anywhere. Your compliance team picks the deployment; we deploy into it.
Cloud
Local network
On-premise
95% reduction in compute vs RAG
Three patent applications.
One architecture.
The Boreal architecture is built on three combined patent applications covering the methods that make deterministic retrieval possible. This is the global moat - the reason competitors can match a feature, but not the system that produces it.
Recursive Decomposition.
The method that transforms unstructured text into the high-fidelity Knowledge Graph that powers Boreal. Without it, every other capability collapses.
The Matcher.
The technology that verifies every generated claim against your source data in real time. The Matcher is what makes hallucination-proof citations mathematically possible.
The Compiler.
The method that traverses the Knowledge Graph efficiently and assembles the response - delivering search at the speed of thought, on standard hardware.