Oumi

Founded by Oussama Elachqar in 2025

Build, evaluate, fine-tune, and deploy custom machine learning models from simple text prompts

Pricing model

Free Tier, Paid

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Oumi to build, train, and deploy custom machine learning models tailored to your specific business tasks. It automates dataset synthesis, evaluations, model architecture selection, hyperparameter tuning, and deployment. Instead of paying continuous high fees for general frontier models, you create smaller specialized models that you fully own. You can inspect training data and evaluation recipes, run models on your own cloud infrastructure or edge devices, and automatically retrain models using feedback and production signals to improve accuracy continuously over time.

What Oumi does

Synthesize domain-specific training data from raw documentationFine-tune open-weight foundation models on custom task datasetsRun automated evaluation benchmarks across multiple model architecturesDeploy fine-tuned models to auto-scaling GPU infrastructureRoute inference requests across models according to latency and cost rulesInspect training recipes and audit individual model decisionsRetrain production models automatically using newly logged edge casesAutomates evaluation, data synthesis, training, and deployment from text promptsGenerates synthetic training datasets tailored to specific domain tasksSelects model architectures, parameters, and algorithms automaticallyDeploys models to cloud GPUs that automatically scale down to zero when idleSupports export and deployment on private clouds, edge hardware, and mobile devicesMaintains fully inspectable and editable training recipes, data, and model weightsContinuously retrains models using production traffic and error signals