Traceable research records
Keep sources, timing, definitions, and material revisions connected to the final conclusion.
COMPANY / HUMAN JUDGMENT
DeepSight begins not with how much a model can generate, but with how experts decide, how organizations retain that work, and who remains accountable.
CURRENT / VERIFIED
The current product is in a controlled institutional pilot. It organizes materials, long-running tasks, report versions, research follow-up, and changes in interpretation.
DIRECTION / HUMAN JUDGMENT
DeepSight is not trying to copy an expert into a model. It preserves sources, revisions, exceptions, review, and responsibility from real work so the institution can use them again.
WHAT WE ARE BUILDING
Keep sources, timing, definitions, and material revisions connected to the final conclusion.
Preserve tasks, exceptions, counterarguments, and human intervention—not just the final prose.
Give people with revision and veto rights the context they need, and retain an inspectable record.
INSTITUTIONAL PILOT
Start with an existing research assignment, not a generic AI demonstration.
Define which inputs are allowed, the research cut-off date, and who can review the work.
Prefer a task with an existing human baseline so time, traceability, and review burden can be compared.
Only after the test should the parties decide on seats, research projects, or a dedicated deployment.
Submit a real historical task and organizational context. The team reviews each request before confirming a pilot.