Solutions · Model evaluation & validation
Validation data that holds your model to account
Test sets built to beat the model they measure, and human review of model output at production scale. For one AI validation platform: 600,000 labels reviewed and 50,000 created in a month, at 98% accuracy.
The problem
Why this is hard to do well
Aggressive timelines
Evaluation lands right before launch, with no time to build a pipeline from scratch.
Quality targets
A test set has to be more accurate than the model it tests, or the scores mean nothing.
Errors hide in averages
One accuracy number hides the classes, languages, and conditions where a model fails.
How MLtwist does it
Platform and people, together
Our platform does the repeatable work; our team, yours, or both handle the judgment calls. Every version ships with a Data ID Card.
- Golden test sets
- Held-out data labeled and adjudicated by experts, versioned so every model is scored on the same set.
- Human review of model output
- Reviewers accept, correct, or reject model predictions, with the reason attached.
- Measured by class
- Agreement and miss rates by class and condition, so weak spots show up as numbers.
- Fast turnaround
- Out-of-the-box pipelines and built-in QC keep accuracy above target at full volume.
Case studies
Programs we've delivered
Bobidi · AI & technology
How Bobidi and MLtwist Delivered Faster AI Validation and Higher Quality at Lower Cost
AdTech company · AdTech
MLtwist Empowers AdTech with AI-Powered Content Moderation for Brand Safety
Retail company · Retail
Retail Company Uses MLtwist for Safe and Accurate Drone Delivery Vision
Talk to us about model evaluation & validation
Tell us the data type, volume, and timeline. We'll scope it with our team, yours, or both — and deliver it versioned, in your format.
Also available through Carahsoft and Google Cloud Marketplace.