Simplismart, an AI infrastructure startup co-founded by former Oracle and Google engineers, has secured $7 million in a Series A funding round led by Accel, with participation from Shastra VC, Titan Capital, and notable angel investors. The funding aims to accelerate the company’s R&D and growth as it brings its AI orchestration platform to enterprises. Simplismart offers a solution to one of the key challenges in AI adoption—deploying machine learning models efficiently in production, particularly addressing the cost and complexity barriers that prevent many projects from scaling.
Founded in 2022 by Amritanshu Jain, formerly with Oracle Cloud, and Devansh Ghatak, previously at Google Search, the company has developed what it claims is the fastest AI inference engine on the market. Simplismart’s platform allows organizations to deploy AI models while maintaining control over cost and performance, crucial for justifying the return on investment in AI-powered projects. The startup’s inference engine enables high-performance model deployment, reportedly achieving a throughput of over 440 tokens per second when running Llama3.1 (8B), while being agnostic to the choice of model or cloud platform.
Simplismart’s offering is designed to solve key bottlenecks enterprises face in AI adoption, including workflow standardization, cost management, data privacy, and system customization. The platform provides a declarative language, similar to Terraform, to simplify fine-tuning, deployment, and monitoring of generative AI models at scale. This approach enables enterprises to overcome challenges tied to in-house AI deployment, such as access to computing resources, model optimization, and infrastructure scaling, which often require specialized machine learning expertise.
The funding will support Simplismart’s mission to position itself as a critical enabler in the mainstream adoption of AI, similar to how tools like Terraform impacted cloud computing. With the new capital, the company plans to expand its capabilities, helping businesses take control of their AI deployments, especially as generative AI continues to grow.
