Train and deploy
specialized models.
Mission
The hardest problems are solved by specialists.
Our mission is to help teams build and deploy custom models that are better, faster, and cheaper than closed source, generalist models.
Why
Speed
Build LLMs and VLMs (vision) that match or exceed your existing call while reducing latency by over 50%. Deploy through our optimized inference stack.
Cost
Run smaller, specialized models that are cheaper to run at scale than large generalist model and reduce cost by over 75%.
Control
Have full control over your model and data. No unexpected regressions or vendor lock-ins and build a moat on the model level.
Quality
Train models on your domain and task specific data to outperform SOTA models on your use cases and can continuously improve over time.
Process
Review
We work with you to understand your use cases and existing pipelines. Identify what 'good' looks like and the right type of training for your use case
Data Preparation
Work together to create a dataset that's high quality, diverse, and aligned with your use case. We'll utilize our tools to clean, label, and scale your data so that it's ready for training.
Training
We'll manage everything related to training. Running training jobs, GPU provisioning, hyperparameter sweeps, evaluations, and more.
Evaluate
We'll run evaluations and benchmarks so you can see how your model stacks up against the best in class and be confident in your model's performance.
Deployment
Deploy your model in one click through our platform or deploy it to your own infrastructure. You'll always have full control over your model and data.
