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STILL COOL?

Gartner names ModelOp in the “Where are they Now?” Section of Cool Vendors in Enterprise AI Operationalization and Engineering

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One of the major roadblocks that clients face when it comes to value realization of AI projects is putting AI models into production.

Gartner, “Cool Vendors in AI Operationalization and Engineering 2021”, April 2021
Gartner customers can review the entire report at https://www.gartner.com/en/documents/4001037-cool-vendors-in-enterprise-ai-operationalization-and-eng
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We’re delighted to be recognized again by Gartner in their recent report.
Enterprises are experiencing significant challenges getting their models out of the lab and into production and keeping them there with full visibility, accountability to the business and compliance with risk controls.
Stu Bailey, Co-founder, ModelOp
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Gartner Disclaimer

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Gartner, Cool Vendors in Enterprise AI Operationalization and Engineering, 27 April 2021, Arun Chandrasekaran, Farhan Choudhary, Georgia O’Callaghan, Soyeb Barot, Robert Thanaraj, Chirag Dekate, Erick Brethenoux
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Govern and Scale Enterprise AI Initiatives
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ModelOp is the leading AI Governance software for Global 2000 enterprises and helps safeguard all AI initiatives — including Large Language Models (LLMs), generative AI, in-house, third-party, and embedded systems — without stifling innovation. Through automation and integrations, ModelOp empowers enterprises to quickly address the critical governance and scale challenges necessary to protect and fully unlock the transformational value of enterprise AI — resulting in accountability, transparency, robustness, and fairness of AI systems.