Applied Compute turns your company’s institutional knowledge into a proprietary agent workforce that improves with every interaction.
Institutional Knowledge
Models
Integrations
Specialization Engine
Capture
Applications
Agent Workforce
Your secure environment
We ingest historical data, standard operating procedures, and domain context, and transform them into training-ready environments.
Our Applied AI engineers work alongside your team to capture how your best people operate. Using purpose-built interfaces, we translate that judgement, along with selected SOPs, prior examples, and historical decisions, into structured training data.
Agents are specialized using our proprietary Memory and Reinforcement Learning stack against your performance criteria. Our orchestration layer manages learning and training jobs, inference routing, and sandbox environments across frontier and leading open-source architectures. This all occurs in an enterprise’s environment with full data autonomy and governance controls.
Trained models are served through a tailored inference layer with ongoing evaluation and latency benchmarking. Our real-time observability platform monitors agent performance and feeds outcomes back into the system to drive continuous improvement.
Agents work alongside experts and improve continuously in production. As they operate, they build memory by absorbing company knowledge and learning from live execution data, allowing them to develop organizational context and keep up as things change. At the same time, ongoing training strengthens their intuition, sharpening judgment and driving better performance across both focused tasks and complex workflows.
SOC 2 CertifiedDeploy within your VPC with built-in RBAC, audit logging, and configurable retention policies to enforce governance at every layer.
Defense-in-depth security controls protect your environment at every stage, from initial training runs through live production inference.
Applied Compute ensures that you maintain full control over how your data is handled and retained. Opt out of model training at any time.
