If we asked you what you did last Tuesday, would you guess what you did based on what you've done on every Tuesday?
Other AI might, but you don't.
Neither do we.
A Better Brain for AI
Boreal provides a more reliable brain for AI by replacing 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.
Reliability
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, where models confidently present false information as fact. In high-stakes environments, a system that is only "probably" right is functionally wrong. Boreal solves this by acting as a Deterministic Governance Layer. Instead of allowing the AI to invent answers, Boreal forces the response through a structured Knowledge Graph. By utilizing our patented Matcher technology, the system ensures that every output is mathematically verified against your source data before it ever reaches the user, effectively eliminating the "black box" risk.
Traceability
Most enterprise AI lacks a "paper trail," leaving users unable to verify where an answer originated. Boreal replaces this opacity with Sentence-Level Provenance. We decouple the "Fluency Engine" (which handles the talking) from the "Knowledge Base" (which handles the facts), ensuring that the two never mix in an unmonitored way. Every sentence generated by Boreal is tagged with Lineage Parameters. This means every claim is mathematically linked to its specific coordinates in your original documents, down to the exact file, page, and paragraph. We call this "Intuitive Referencing," a system where trust is not requested but demonstrated through immediate, clickable verification.
Efficiency
The current industry trend relies on "brute force" computation, requiring massive GPU clusters that are both expensive and environmentally taxing. This reliance on the self-attention mechanism of Transformers leads to a massive overhead for even simple retrieval tasks. Boreal offers a more sustainable path through Computational Optimization. By shifting the heavy lifting of information retrieval to a graph-based symbolic layer, Boreal achieves a reduction in Floating Point Operations (FLOPS) of several orders of magnitude. This allows Boreal to deliver state-of-the-art performance on standard hardware, or even energy-efficient AI chips, making it the premier choice for "Environmentally Responsible AI."
Structure
At the heart of Boreal is Recursive Decomposition, a patented method of transforming unstructured text into a high-fidelity Knowledge Graph. Unlike standard search tools that treat data as simple "vectors" or lists of words, Boreal understands the hierarchical relationship between concepts, entities, and actions. This structural intelligence is managed by our Matcher and Compiler components. The Compiler breaks down complex documents into a "Source Graph," while the Matcher ensures the AI's response aligns perfectly with that structure. This architecture doesn't just make the AI faster; it makes it smarter, allowing for "Zero-Shot" accuracy on complex tasks without the need for expensive, time-consuming fine-tuning.
Meet the Formic Engine, powered by Boreal
Enterprise Search, Reimagined
The scale of enterprise search, context awareness of AI, and reliability of Boreal, all in one place.
Your Files or No Files
The Formic Engine can only provide responses based on the files you've granted access to.
Prove the Negative
The Formic Engine tells you when the information you asked for can't be found, but it won't make it up.
Intuitive Referencing
When the Formic Engine searches or summarizes, every answer comes with hallucination-proof citations.
API Integration
Governance Layer
Standard AI models often "hallucinate" because they are designed to guess the next word based on probability rather than fact. Our Governance Layer acts as a real-time fact-checker, utilizing our patented Matcher technology to verify every AI-generated claim against your specific data. By forcing the AI to prove its logic before it speaks, we replace the "black box" of traditional models with a deterministic system that ensures absolute accuracy in high-stakes environments.
Data Ingestion
Most systems lose critical nuance when they "read" data, turning complex documents into simplified mathematical lists. Boreal uses a process called Recursive Decomposition to transform unstructured text into a high-fidelity Knowledge Graph. This doesn't just store your data; it maps the relationships between every concept and entity, creating a structured foundation that allows the AI to navigate your proprietary information with expert-level precision.
Cognitive Search
Current enterprise search is often slow and provides links rather than answers. Boreal delivers "Search at the Speed of Thought" by replacing heavy computational sweeps with efficient graph traversal, reducing the energy and cost required for deep reasoning by orders of magnitude. Every answer includes Intuitive Referencing, providing clickable, sentence-level citations that link every word back to its exact source in your original files.
Our Strategic Partners
Formic AI is proud to partner with innovative teams globally to bring Responsible AI to their systems.
By integrating Boreal, Formic's partners achieve industry-leading AI functionality, performance, and reliability without sacrificing governance.