Unlocking Value on the Cutting Edge

Implementing AI is just the start: True return on investment requires optimization of teams and technology alike. 

While AI/ML will be transformative, in some ways it’s like any other technology. Iteration and optimization are critical to ensure your MVP delivers results days, months, and years down the line. 

Model governance and optimization is an end-to-end effort which requires operations, IT, and data departments all communicate freely.  

In the often-siloed enterprise, however, that sort of coordination isn’t always second nature – and is challenging to build from scratch. 

Empowering AI-Enabled Teams

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Enterprise Model Governance

Simplify the process of managing, validating, and monitoring models, creating new ways for your team to see tangible results and making improvements easier.
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ML Ops

An operational framework to maximize the value you see from your ML products, ML Ops breaks model creation and optimization down into three intuitive sprints: Development, Deployment, and Management.
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AI Ops

Observe, engage, and act on insights delivered via AI. Data tools like historical analysis and anomaly detection empower your IT and operations teams, helping your entire organization pursue performance.
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Live Monitoring + Optimization

Gain visibility and ensure lasting value by implementing a range of systems to track and optimize the performance of your ML and AI systems.
Ahmer Inam

Optimization is at the core of a successful AI model, and that demands cooperation across your teams. Organizations that have the channels in place for communication now will be better equipped to see lasting value from their intelligent systems.


Ahmer Inam 
Chief Artificial Intelligence Officer