Catacomb is the simplest machine learning platform for deploying prototypes, conducting quality assurance, and benchmarking models.
The only way to know if your models are safe and useful is to have real people use them, from end-users to domain experts.
Catacomb automatically creates Dockerfiles, front-end code, and even REST APIs, so that you don't have to.
View ExamplesWork as a team by comparing models, sharing examples, and providing feedback with no code required.
View EvaluationsCatacomb only requires a few lines of Python to support your current workflow and model architectures.
Read Quickstart GuideThe simplest cloud platform for machine learning testing and quality assurance, made to integrate seamlessly with any stack.
Instantly create an interface for your clients to query your models, browse historical performance, and compare against the status quo.
Identify inflammatory or problematic behaviour in models by easily specifying custom input sets and metrics for evaluation.
Stream inputs that your production models are receiving to your prototype models, and compare their results.
Generate realistic data from your test inputs to understand model performance in multiple different scenarios.
Affordable plans for any organization, from research labs to industry AI teams.
Artificial intelligence is hard. We'll be here with you every step of the way.