ML Platforms & ML Ops

To manage data, models and pipelines

Power your business use cases to derive revenues

Enterprises that have embarked on AI & ML often find it hard to get value out of the AI initiatives. Most are still in research and proof of concept stages. Only a fraction of the initiatives go into Production, due to challenges in productionalizing and issues in deriving continuous value from analytics with increasingly changing data.

We can help you build AI platforms that leverage Computer Vision, NLP, core ML algorithms, Personalization, Voice & Speech and related technologies to offer predictive and prescriptive analytical solutions for your business. We can help move AI from Research to Production with MLOps, including automated retraining of models. Our ML Ops practice ensures end-to-end automation and monitoring of these ML platforms as well.

AIML

Shared Success

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Building a Finetech Sandbox Open Banking Ecosystem with APIGEE API Management
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How CRAIN reduced its development time and cost in rolling out a multisite publishing platform
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Building a scalable microservices based platform for superior last-mile delivery and customer-first experience

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