Bound the corpus
Define approved documents, collections, metadata, exclusions, users, and research purpose before choosing a model or interface.
Core specialty: research systems
Keep the question, the evidence, and the reasoning close.
Grace OS and R.A.I.S.E. give research teams a governed local environment for proprietary literature, unpublished work, sensitive collections, evidence retrieval, and reviewable synthesis.
Core specialty · pilot conversations openLocalPrimary compute boundary
Source-ledRetrieval workflow
GovernedAgentic work
HumanFinal accountability
The point
Research teams need a controlled evidence system. Another chatbot is not one.
The value: faster orientation across an approved collection, a visible path back to sources, repeatable research workflows, and the freedom to change models without rebuilding the institution's knowledge layer.
Retrieve before generating
Assemble relevant evidence, preserve source lineage, and surface uncertainty before a model drafts a response.
- Collection-aware retrieval
- Evidence-linked outputs
- Known-answer evaluation
- Visible limitations
Govern the workflow
Grace scopes what agents may search, summarize, compare, draft, export, or escalate, and records the evidence and actions reviewers need.
Measure research value
Evaluate retrieval quality, source usefulness, failure behavior, time saved, and researcher trust. The result can be scale, revise, or stop.
Work with us
Bring one evidence-heavy research bottleneck.
A focused pilot can test whether the local system improves orientation, traceability, and cycle time while your sensitive work stays out of a cloud inference path.
Direct answers
Questions worth asking.
What research workflows fit?+
Good candidates pair a bounded source collection with a recurring knowledge task: literature orientation, internal discovery, evidence-backed synthesis, source comparison, or governed drafting.
Can regulated or participant data be used?+
Not by default. Legal authority, institutional policy, consent, data classification, contracts, and technical controls must be reviewed before regulated or identifiable data enters the system.
Does the system replace researchers?+
No. It supports retrieval, synthesis, comparison, and traceable drafting. Researchers retain interpretation, validation, authorship decisions, and accountability.