Slash Human Reviews by 80%
Redouble AI is the solution to scale human-in-the-loop for GenAI in regulated industries.
Scale your business without scaling your team
Redouble flags problematic outputs for human review, so your experts can focus on what's important
Redouble flags problematic outputs for human review, so your experts can focus on what's important
Redouble can be as strict as you wish, so no mistake goes undetected
Redouble can be as strict as you wish, so no mistake goes undetected
Redouble continuously learns as more review feedback is generated
Redouble continuously learns as more review feedback is generated
Start with just 3 lines of code
Unified Dashboard
Access the performance and accuracy metrics for your GenAI pipeline and human reviewers in our comprehensive dashboard
Unified Dashboard
Access the performance and accuracy metrics for your GenAI pipeline and human reviewers in our comprehensive dashboard
Unified Dashboard
Access the performance and accuracy metrics for your GenAI pipeline and human reviewers in our comprehensive dashboard
Simple APIs
We provide a modular and simple API that can be integrated into your stack without the need for rearchitecturing
Simple APIs
We provide a modular and simple API that can be integrated into your stack without the need for rearchitecturing
Simple APIs
We provide a modular and simple API that can be integrated into your stack without the need for rearchitecturing
Streamlined HITL Interface
We manage what and when something is shown to the reviewers for maximum data coverage and reliability while reducing cost
Streamlined HITL Interface
We manage what and when something is shown to the reviewers for maximum data coverage and reliability while reducing cost
Streamlined HITL Interface
We manage what and when something is shown to the reviewers for maximum data coverage and reliability while reducing cost
How Redouble AI Works
Redouble learns from your human reviewers to understand the nuanced criteria they use to identify problematic output of the AI pipeline.
Redouble learns from your human reviewers to understand their nuanced criteria to identify potentially problematic outputs of your AI pipeline.
1. Capture Feedback
Our system learns from your human reviewers by storing and analyzing their feedback on your AI workflows’ outputs, distilling them into reviewer preferences in our database
1. Capture Feedback
Our system learns from your human reviewers by storing and analyzing their feedback on your AI workflows’ outputs, distilling them into reviewer preferences in our database
1. Capture Feedback
Our system learns from your human reviewers by storing and analyzing their feedback on your AI workflows’ outputs, distilling them into reviewer preferences in our database
2. Automated Review
Our proprietary AI distills and learns from the human reviewers’ feedback and preferences to automatically flag potentially questionable AI output and provides a trustworthiness score for each AI process
2. Automated Review
Our proprietary AI distills and learns from the human reviewers’ feedback and preferences to automatically flag potentially questionable AI output and provides a trustworthiness score for each AI process
2. Automated Review
Our proprietary AI distills and learns from the human reviewers’ feedback and preferences to automatically flag potentially questionable AI output and provides a trustworthiness score for each AI process
3. Continuous Improvements
The accuracy statistics from step 2 is used to continuously improve your LLM pipeline, further reducing your human review need while increasing pipeline reliability
3. Continuous Improvements
The accuracy statistics from step 2 is used to continuously improve your LLM pipeline, further reducing your human review need while increasing pipeline reliability
3. Continuous Improvements
The accuracy statistics from step 2 is used to continuously improve your LLM pipeline, further reducing your human review need while increasing pipeline reliability
FAQs
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FAQs
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FAQs
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