Ace GenAI
Command & Control GenAI Excellence
Unified API to evaluate, control and measure complex, multimodal, agentic and expert generative AI.
Evaluate
Domain Expertise
Our customers rely on our obsession with excellence.
We ensure the highest quality evaluations from domain experts for trustworthy GenAI when it matters the most.
We ensure the highest quality evaluations from domain experts for trustworthy GenAI when it matters the most.
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100%
Increase in filed issues
63%
Faster to close issues
Targeted evaluations
Target specific topics, workflows or outcomes to govern GenAI agents and models.
Evaluate multimodal workflows
Provision high precision synthetic evaluation sets to measure the quality of your GenAI products.
Designed for Developers
Triage is a shared team inbox to manage incoming bug reports, feature requests, and other unplanned work. Review, prioritize, and assign issues before they are added to the team's workflow.
Multimodal synthetic evaluation sets
Provision high precision synthetic evaluation sets to measure the quality of your GenAI products.
Expert evaluation workforce
Leverage highly educated domain expert evaluators effortlessly.
Case Integrity Engine
Maintain seamless patient record matching.
Dynamic Test Environments
Easily deploy datasets for agile workflows.
Multimodal Data Support
Handle structured and unstructured data.
Compliance Features
Ensure secure and compliant data handling.
Govern
Trust & Confidence
Deploy GenAI for enterprises and governments.
Evolve your GenAI development and products by controlling output, user perception, and quality.
Evolve your GenAI development and products by controlling output, user perception, and quality.
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AutoEval
Search and destroy weaknesses in your GenAI agents and models.
Integrated Firewall
Lock down PII, regulated information and control other behaviors.
Measure
Quantify Results
Measure your GenAI ROI. Ideate and specify what to build next. Work on proposals and discuss specs in collaborative project documents.
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Preserve Feature Maps
Maintain sensitive health case integrity, relationships, variations, patterns and feature maps.
Designed for Developers
Provision high fidelity synthetic cases for dynamic testing across environments and branches.
Jeremy Hintz
Head of Engineering
"We needed to take medical claims and have humans predict or label whether they would accept or reject it. Our lawyers asked that all data and compute needed to operate on Uber's network stay within it, with no data leaving for external networks. That's the need for something like Ace."
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