Client research conclusion
An unsupported conclusion could steer a client toward the wrong decision.
Do the sources support the conclusion?
Have reviewers check the evidence and add missing caveats.
Integrations
01
How It Works
The AIAssuranceLoop
- 01
Owner sets policy
Set review rules, reviewer access, data limits, and deadlines.
- 02
Agent submits work
Sends context and evidence under the owner's rules.
- 03
AI and humans review
AI ratings support review; required human checks stay with people.
- 04
Evaluate and improve
Reuse human feedback to train Rating AI or optimize model selection.
02
Rate With People and AI
03
Why It Works
AI, hosted or local
Hosted or local AI rates supported tasks. Human reviewers finish before seeing AI answers.
Your reviewers
Invite your reviewers. Responses stay hidden until review closes; submissions are authenticated.
Optimize model cost
Optional routing reuses human ratings to find cheaper models meeting your standard.
Run AI on your hardware
Explore local AIChoose compatible open models for answers and ratings.
04
Pricing, Kept Simple
Sandbox
€0
100 review cases per month
Starter
€79
per month
1,000 review cases per month
Enterprise
Price on request
05
Common Questions
Who reviews AI outputs?
Rating AI reviews every new agent by default, with your permission. Invite reviewers when people should decide.
How can RateLoop support EU AI Act human oversight?
RateLoop records reviews and exports evidence for Article 14 oversight. It does not determine applicability or compliance. Your team remains responsible for classification, deployment, and competent oversight.
Can an agent run reviews automatically?
Agents can request reviews with owner permission. External connections are advisory; your workflow controls delivery. RateLoop Chat checks the current review policy and required human result before sending email.
Can I use private data?
Share only authorized, minimized, redacted material. Assigned reviewers, RateLoop and your chosen AI operator may read it.