Train and deploy specialized models tuned to your agent's steps, so every call runs faster, cheaper, and more reliably.
THE SOLUTION
Netra delivers the infrastructure, tooling, and expertise needed to bring the most performant AI products to market—fast.
Custom kernels, advanced decoding, and caching built into our inference stack.
Deploy, optimize, and manage models with a delightful developer experience.
Hands-on support from prototype to production, built around your stack.
PRODUCTS
From annotation to deployment, every layer is tuned for inference that scales.
THE OVERVIEW
Specialized models match frontier-quality on your workload at a fraction of the cost of general-purpose APIs.
FAQ
Quick answers about Netra and how it supports your AI workflow.
Netra helps teams build specialized AI for their agents through fine-tuning, model acceleration, and production deployment.
Netra is built for teams running production AI agents that want to lower inference cost and latency, including startups, enterprises, researchers, and product teams.
Most steps inside an agent are narrow and repetitive, so a specialized model tuned to those steps can match frontier-quality at a fraction of the cost and latency.
Netra supports data annotation, agent fine-tuning, model deployment, and agent observation, so you can move from production traces to a specialized model end to end.
Yes. Specialized models tuned to your agentic steps can lower per-query inference cost by an order of magnitude, with acceleration techniques compounding the savings.
Yes. Netra supports multiple data types for specialization, including documents, images, text, and other structured or semi-structured datasets.
Share the agent and steps you want to specialize, along with your accuracy, latency, and cost targets. Netra trains and deploys a specialized model that meets your spec.