Coming Q2 2026
FoundryOS

Scalable. Secure. Private.

Deploy, unify and scale your local-AI infrastructure - powered by vLLM, SGLang or LlamaCpp - with cloud-level reliability and the control, monitoring and privacy of self-hosting. Run it on private cloud, air-gapped systems or on-premises hardware.

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Enterprise Ready Inference

FoundryOS is built for teams deploying AI infrastructure on internal clouds, private networks, or airgapped systems. With native vLLM, SGLang, llama.cpp support and robust features to help you deploy, manage and scale your AI workloads efficiently.

  • Container-based deployment (not SaaS)
  • Monitoring and management tools for realtime analysis
  • Air-gapped and on-premises / own-cloud support
  • Enterprise GPU optimisation

Unified API

FoundryOS unifies multiple inference backends and models under a single API offering applications and users either a OpenAI or Anthropic API to query them seamlessly. Automatic translation of Anthropic to OpenAI and back.

  • Unified API for multiple backends
  • Apps & Users query Anthropic or OpenAI APIs
  • Automatic translation between Anthropic to OpenAI APIs for inference
  • Support Claude Code, Cursor with onprem models easily

Model Unification

FoundryOS unifies your AI models across multiple inference backends under a single API and management plane. Seamlessly switch between vLLM, SGLang, llama.cpp, validate which backend works best for your workload.

  • Multi-backend model unification
  • Test & validate models across backends
  • Run-time backend switching with zero downtime
  • Provide model redundancy across multiple nodes

Native Inference Backends

FoundryOS integrates natively with inference backends to provide monitoring and management capabilities.

vLLM
SGLang
llama.cpp
TensorRT-LLM

Health Monitoring

FoundryOS provides intelligent health checks, self-healing recovery and automatic failover to ensure your AI infrastructure stays online and available for your users, applications and customers.

  • Continuous health monitoring
  • Self-healing and auto-recovery
  • Intelligent load balancing
  • Automatic failover mechanisms

Inference Observability

Get complete visibility into your AI infrastructure with comprehensive observability, metrics, logging and telemetry about your inference workloads.

  • Real-time metrics and logging
  • Distributed tracing
  • Hardware monitoring & efficiency
  • Model performance analysis (token / usage)

Enterprise Control

FoundryOS provides enterprise-grade security controls to manage access, permissions and compliance across your AI infrastructure.

  • Role-based access control
  • Audit logging and compliance

Join the FoundryOS Waitlist

Be among the first to deploy enterprise AI infrastructure when FoundryOS launches in Q2 2026.