Train and Deploy Specialized Models
We help teams build custom LLMs and vision models that are faster, cheaper, and better than generalist, closed-source models.
Why Specialized
Models
Speed
Build LLMs and VLMs that match or exceed your existing call quality while reducing latency by over 50%. Deploy through our optimized inference stack.
Cost
Run smaller, task-specific models that are dramatically cheaper at scale than large generalist models. Reduce inference and infrastructure costs by 75% or more.
Control
Full ownership of your model and data. No vendor lock-in, no silent regressions, and no dependency on closed platforms. Build defensibility at the model layer.
Quality
Models trained on your domain-specific data outperform state-of-the-art generalist models on real production workloads — and improve continuously over time.
Our Process
A hands-on, end-to-end approach — from raw data to production deployment.
Review
We work closely with your team to understand your use cases, constraints, and existing pipelines. We define what "good" looks like and select the right training strategy.
Data Preparation
We curate high-quality, diverse, and task-aligned datasets. Our tooling handles cleaning, labeling, augmentation, and scaling so the data is training-ready.
Training
We manage the entire training lifecycle — GPU provisioning, training jobs, hyperparameter sweeps, evaluations, and monitoring.
Evaluation
Rigorous benchmarking against best-in-class models so you can clearly see performance, trade-offs, and gains.
Deployment
One-click deployment through our platform or direct deployment into your infrastructure. You always retain full control over your model and data.
Mission
"The hardest problems are solved by specialists."
Our mission is to help teams build and deploy custom models that outperform generalist models — with lower latency, lower cost, and full control.
We partner deeply with teams to design, train, evaluate, and deploy models that become a durable competitive advantage.
Ready to Build
Something Special?
Talk directly with our technical team about your use case.