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CERNARI VS HEBBIA · KNOWLEDGE AGENT

Different problem. Respectfully different tool.

Hebbia is a powerful research agent for multi-step questions over unstructured knowledge. Cernari runs a continuous watch on structured operational systems.

Hebbia
Knowledge agent
What they do well
Multi-step research over complex unstructured corpora (filings, contracts, research). Strong at one-off deep questions.
Where the shape ends
On-demand workflow — you initiate a research run. Not designed to wake up daily and tell you what changed in your operations.
Cernari
Operational Intelligence Engine
Where Cernari fits
Cernari is the permanent operational watch. Its job is patterns, anomalies and quiet risks in time-series — sourced, scored, actionable.
  • Hebbia is a researcher; Cernari is a sentinel.
  • Hebbia depth on demand; Cernari breadth continuously.
  • Compatible stack: deep research + continuous watch.
When to use Hebbia
When you have a quarterly research problem and need an analyst-grade multi-step agent.
When to use Cernari
When you need a daily operational rhythm with source citation and confidence score on every signal.
Compatible alongside each other?
Yes — they answer different questions. Hebbia for "research this." Cernari for "what changed overnight."

See Cernari on your foundation.

30-minute walkthrough on your Fabric, Snowflake, Databricks or BigQuery workspace. We respect your existing stack — Cernari adds the proactive operational layer the others don't.

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