
Resolve the evidence
Pull the relevant signals together without pretending every source has equal weight or certainty.
Sighub turns fragmented operational data into deterministic decisions before anyone acts. One evidence trail. One answer for your team and the agents working alongside it.
Deterministic rules · Inspectable evidence · One answer across humans and agents
Products by Sighub
Sighub builds narrow products around high-value decisions, then gives humans and agents the same resolved answer.

Know which customer renewals need attention in HubSpot. Find dates across supported records, spot missing follow-up and keep the next step owned. Your team and HubSpot agents use the same evidence.
Explore Renewal Radar
A source-backed customer revenue exposure model. See how much of today's customer revenue remains over 12, 24 and 36 months under different retention paths.
Explore CLE IndexSighub infrastructure
Every Sighub product follows the same operating model: gather the evidence, apply explicit rules and deliver one decision to the person or agent that needs it.
See how Sighub works
Pull the relevant signals together without pretending every source has equal weight or certainty.

Explicit, versioned rules turn supported evidence into a consistent decision while preserving uncertainty.

Humans and agents work from the same resolved answer instead of independently interpreting the raw data.
The same supported evidence and the same rules produce the same decision.
The source, reason and uncertainty behind a decision stay inspectable.
People and agents can consume the same decision instead of creating separate versions of truth.
Sighub works with operational systems rather than replacing the data your business already relies on.
Why now
Sighub sits between raw business data and action. Resolve the decision once, then let every interface start from the same answer.
Give operators a clear decision, the evidence behind it and the next move without another manual report.
Give agents a deterministic output to consume instead of asking them to re-derive business logic from messy source data.