Faster Generations
Reduce latency and increase throughput by more than 50%, without sacrificing model accuracy or response quality.
Lower Costs
Distilled models are up to 95% less expensive than the top closed-source models, without sacrificing accuracy.
Own your models
Distilled models are fully owned and controlled by you. No vendor lock-in, no hidden fees, no surprises.
Our training process
Train a custom model with our engineers. We handle everything from data preprocessing to model training, GPU procurement and more. Go from zero to production in 30 days or less.
AI & Data Audit
Leverage the expertise of engineers who have architected and optimized hundreds of ML systems. We’ll conduct a comprehensive review of your current models and pipelines, then deliver a tailored roadmap to maximize performance, efficiency, and future scalability.
Custom Data Curation
Collaborate with our team to source, refine, and validate high-quality training data precisely matched to your domain. We ensure your model learns from the best possible examples, no matter how specialized your use case.
End-to-End Model Training
Let us handle the entire training lifecycle, from data preprocessing, GPU procurement and provisioning, hyperparameter tuning, and evaluation. Our proprietary distillation infrastructure and hands-on approach guarantee your model is production-ready, fast.
Rigorous Benchmarking
Receive in-depth, transparent benchmarks, both qualitative and quantitative, so you know exactly how your model performs. We compare against leading models and your own KPIs to ensure you’re always ahead.
Flexible Deployment
Deploy your model wherever you need it: on your own infrastructure for maximum control, or on our managed cloud for effortless scaling. We adapt to your operational requirements.
Proactive Support
Our partnership doesn’t end at deployment. We provide continuous monitoring, troubleshooting, and optimization to keep your models running at peak performance, so you can focus on your business.
Schedule a call
Book a free 15 minute call with our team to discuss your use case. We'll be able to tell you in 15 minutes or less whether your use case is a good fit for a custom model.