An agentic framework for deep research ensuring 100% provenance accuracy. Optimized for local models and private hosting.
We don't guess. We verify. Our architecture is built to withstand the scrutiny of production environments where accuracy is non-negotiable.
Privacy without compromise. Run high-performance agents on standard hardware. We optimize for local execution, keeping your data private, end to end.
Deterministic outputs. We enforce strict schemas on LLM generation, ensuring that every response adheres to required format and logical constraints, while still allowing models to think freely.
Every claim is backed by a source. Our custom extensions to MCP (Model Context Protocol) enforce rigorous citation standards. Only valid citations from actual tool outputs can be used.
Flexible specialist selection. The system intelligently routes tasks to the best-fit model—vision, code, or reasoning—optimizing for both accuracy and speed. Use one model or ten, as you need.
Signal, not noise. Our MCP extensions automatically exclude irrelevant tool outputs and summarize verbose data, ensuring the context has nothing you don't need, and everything you do.
Idle time is learning time. The server utilizes downtime to run local LoRA fine-tuning and refine few-shot examples based on past performance.