Modzy

Modzy is a ModelOps and MLOps platform that lets enterprises deploy, govern, and run machine-learning models anywhere — public cloud, private data centers, or edge devices. Spun out of Booz Allen Hamilton in late 2021, it focuses on the unglamorous middle of the AI lifecycle: turning trained models into production services with consistent APIs, container-based runtimes, and the audit, security, and adversarial-defense tooling that regulated buyers actually ask for.

The platform pitches 15x faster model deployment and large cloud-cost reductions versus rolling your own serving stack. Differentiators include patented adversarial defenses, model watermarking for provenance, and SDKs that let developers call any deployed model through a uniform interface — handy when you're juggling a zoo of internal and third-party models. It's clearly aimed at defense, government, and Fortune 500 buyers rather than indie developers; pricing is quote-based and onboarding goes through sales.

Modzy is a small company (roughly a dozen staff as of 2026) but is repeatedly cited by analysts as a representative ModelOps vendor, particularly for adversarial robustness. Expect strong edge and air-gapped deployment stories, deep integrations with common ML frameworks and DevOps stacks, and a feature surface that assumes you already have an MLOps team.