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Loom LabsWebsite

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Loom Labs

Loom Labs is a research-driven technology company dedicated to building the next generation of distributed AI infrastructure. Our mission is to make large-scale, verifiable AI reliable, auditable, and easy to operate in production for organizations of all sizes.

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Our Philosophy

We believe that the future of AI is distributed, open, and verifiable. Loom Labs is committed to:
  • Open-source innovation and transparent research
  • Building tools that empower developers and researchers
  • Enabling safe, scalable, and cost-effective AI deployments
  • Advancing the state of the art in model verification, safety, and compliance

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What We Build

  • LoomOS: Our flagship distributed AI runtime and orchestration platform. LoomOS provides a unified system for training, verifying, and deploying AI models at scale, with built-in support for RL, distributed scheduling, and advanced verification.
  • Prism: Integrated safety, factuality, and compliance verification suite for AI models, with automated test generation and reporting.
  • SDKs & CLI: Developer tools for seamless integration, automation, and workflow management.
  • Marketplace: Compute advisory, cost optimization, and resource management for large-scale AI workloads.

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Research & Roadmap

Loom Labs invests heavily in research and open collaboration. Our roadmap includes:
  • Advanced distributed RL algorithms (WEAVE, hierarchical consensus)
  • Automated model evaluation and continuous verification
  • Secure, privacy-preserving AI infrastructure
  • Multi-cloud and hybrid deployment support
  • Community-driven block registry and adapter ecosystem

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Community & Support

We are committed to supporting the open-source community and our enterprise partners. Join our GitHub or Discord to contribute, get help, or collaborate on new features.

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Company overview

  • Focus: distributed AI runtimes, model verification, and developer tooling
  • Mission: make large-scale, verifiable AI reliable and easy to operate in production

LoomOS (Product)

LoomOS — distributed AI runtime and orchestration platform: scheduler, LoomDB, RL training, verification, and deployment.

SDKs & CLI

Python SDK, job manifest system, and CLI tools for automation and integrations.

Prism (Verification)

Integrated safety, factuality, and compliance verification suites for models.

Marketplace & Cost

Compute advisory and cost-optimization tooling for large model training and inference.

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Get started

  1. Open the LoomOS documentation to explore architecture and modules: LoomOS docs
  2. Follow the quickstart on the Platform Overview page to run a demo
  3. Install the SDK and CLI from the SDK & CLI page to integrate with your pipeline
Loom Labs is the organization; LoomOS is the product you should use to run distributed AI workloads. This site documents LoomOS end-to-end.