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Applied Compute provides an AI platform and research support for organizations building and operating their own models. Its AC2 platform brings together model training, production inference, and continuous improvement, helping teams move from experimentation to deployment while retaining control of their data and model. Customers can post-train models for tool use and long-horizon tasks, work with their own datasets, harnesses, and evaluation methods, and optimize performance against product goals.
AC2 also supports model routing, directing requests to suitable models to help balance quality and cost, as well as configurable deployments for different throughput, latency, and concurrency needs. Applied Compute’s researchers and engineers partner with customer teams, either working alongside them or managing training, serving, and infrastructure. The platform can turn production traces and feedback into training signals, with tools for monitoring, testing, and updating deployments.
For security-conscious customers, the company offers serverless or VPC deployment options, access controls, audit logs, and certified security practices. Applied Compute serves customers across industries including software, commerce, cybersecurity, legal technology, and biology
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Computers Electronics and Technology
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