Amritanshu Jain grew up in Delhi, took to computers at four, and landed at BITS Pilani’s Department of Visual Media — not his first choice, but by his own account, life-changing. His roommate was Devansh Ghatak, also pursuing a career in machine learning engineering. The two talked for years about starting something together. After stints at Oracle Cloud AI and Google, they finally did.
Two BITS Pilani roommates, one big idea
That something is Simplismart — an AI infrastructure startup headquartered in Bengaluru with a presence in San Francisco, founded to target the critical inference stage of AI application deployment, helping enterprises and cloud service providers efficiently deploy AI models with lower latency and reduced costs.  The company was founded in 2023 and has 23 employees as of last count.
What the company actually builds
Jain and Ghatak’s core observation, drawn from their time across multiple companies, was that enterprises had no clean way to manage AI workloads at scale. Simplismart operates as an abstraction and orchestration layer on top of Nvidia AI infrastructure, helping cloud providers and end-customers manage the complexity of building, tuning, and optimising pipelines based on specific performance, cost, and deployment constraints. The platform automatically benchmarks configurations and picks the best setup for a given workload, removing the need for manual infrastructure tuning.
The client testimonials on its website give a sense of what that means in practice. One customer reported that Simplismart’s optimisations cut image generation costs from $30,000 to under $1,000 while halving inference time. Another — a healthcare client — trained and deployed a vision model to process medical prescriptions at 95% accuracy. Tata 1mg and Mindtickle are among the larger enterprise names on board.
The Nvidia relationship and what’s happening now
An early member of the Nvidia Inception Program, Simplismart has been collaborating closely with Nvidia, particularly around Nvidia Inference Microservices, to strengthen AI inference capabilities on Nvidia infrastructure. In February, the founding team presented at the Nvidia AI Innovation Pavilion at the India AI Impact Summit in New Delhi — a public signal of how central the Nvidia partnership has become to the company’s go-to-market.
That relationship now appears to be moving to the next level. Nvidia is in advanced negotiations to lead a new funding round aiming to raise approximately $20 million, in a deal that would propel the company’s valuation to roughly $100 million — up from $25 million in October 2024. Existing shareholder Accel is expected to participate pro-rata, with at least one new institutional investor also anticipated.
Industry insiders note that while the investment amount is not exceptionally large, its strategic significance far outweighs its financial scale. Beyond selling GPUs, this move by Nvidia represents a capital-driven effort to secure an early position in model deployment, inference platforms, and enterprise AI demand in India — a market that is rapidly becoming too large for the world’s most valuable chip company to approach at arm’s length.
