governed-AI research console
DeepDigga turns public signals — hiring, funding, tech adoption, news — into a deterministic score and a proof chain for every claim. One console for the whole outreach pipeline: research, pipeline, records.
capabilities
A company score is computed in SQL from nine factors — size, regulation, AI adoption, hiring, public AI usage. Identical data always yields the identical score; no LLM in the loop.
Research flows through budgeted queues with a run ledger and idempotent ingestion — re-delivery is a no-op, never a duplicate. Every run is accounted for, every cost estimated.
Every claim and signal carries its proof: source URL, excerpt, capture time. Flagged claims surface prominently — an operator dispute is never silent.
by the numbers
the method
Each factor contributes a weighted share of the 0–100 total. The weights are configured once; the score is recomputed deterministically from the research base — auditable at any time, identical for identical data.
Sign in to the console — companies, signals, queue, and the pipeline board are one session away.
Sign in