model-drift
(3)
ModelOp
ModelOp is a Chicago-based enterprise software company that builds AI governance and lifecycle automation software. Its flagship platform, ModelOp Center, acts as a centralized system of record and 'control tower' for all of an organization's AI - traditional machine learning, generative AI, agentic AI, and third-party tools - letting enterprises inventory every model, automate approvals and testing, enforce policy, monitor production systems for drift and risk, and produce audit-ready documentation. The company sells primarily to large, regulated enterprises such as financial services, healthcare, and government, and counts Fortune 500 names among its customers.
Striveworks
Striveworks is an Austin-based AI operations company whose Chariot platform helps organizations build, deploy, monitor, and retrain machine learning models in hours rather than months. Built for highly regulated and contested environments - especially U.S. national security and allied defense - Chariot pairs a fast MLOps workflow with end-to-end data and model lineage, giving customers governance and provenance over models that must keep working when conditions change.
Arize AI
Arize AI builds the observability layer for AI - a platform engineers use to trace, evaluate, and debug models, agents, and LLMs running in production. Its open-source Phoenix library and enterprise platform are used by companies like Uber, DoorDash, Instacart, Reddit, Booking.com, and Duolingo to make AI systems work in the real world.