Simplismart supercharges AI performance with personalized, software-optimized inference engine
Enterprises are all in on AI. They want their models to run in production environments smoothly and with as high performance as possible to obtain a high return on investment. However, even with all the advanced models available in the market, teams continue to struggle with deployment issues.
Last year, Peter Bendor-Samuel, the CEO of Everest Group, estimated that 90% of the gen AI pilots started will not make it to production. Even Gartner has predicted that a significant portion of generative AI projects are likely to be abandoned after proof of concept by the end of 2025.
Among the hurdles to adoption, the largest one is orchestration. Teams just don’t have the resources to do everything in-house, which leaves them reliant on rigid and expensive third-party APIs. Today, Simplismart AI raised $7 million in funding to address this gap with its end-to-end MLOps platform that accelerates the entire orchestration effort by taking care of everything from fine-tuning models to deployment and observability.
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