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Simplismart Raises $14 Million Series B Led By Dallas Venture Capital With NVIDIA Participation
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Bengaluru-based Simplismart raised $14 million Series B led by Dallas Venture Capital with Nvidia participation. The funding will expand its AI inference platform, bolster cloud partnerships, and grow globally.
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Simplismart’s $14M Series B
Simplismart raised $14 million in Series B funding led by Dallas Venture Capital, with participation from NVIDIA, Accel, Shastra VC and Micromax, to expand its AI inference platform. Amritanshu Jain, co-founder and chief executive officer of Simplismart, said, “The advantage comes from how you run them: what each interaction costs, how quickly the application responds, and whether it stays reliable as demand grows,” as the company positions its software layer between AI models and GPU infrastructure. Simplismart said its modular inference engine lets businesses configure how AI models run based on speed, cost and performance, while its orchestration platform manages deployment and scaling across cloud and on-premises infrastructure.
Simplismart also said its annualised revenue run rate grew 14-fold over the past six months, and it cited customers including HeyGen, Higgsfield, InVideo, Shiprocket, Apna and Ema running production workloads across video, voice, multimodal and enterprise AI applications. Dayakar Puskoor, managing partner at Dallas Venture Capital, said, “Inferencing is emerging as one of the biggest game changers in AI economics,” linking the investment to helping enterprises run AI workloads more efficiently.
Nvidia’s bet on efficiency
Nvidia backed Simplismart in the $14 million round, and TechCrunch coverage described the deal as an all-primary Series B with Accel, Shastra VC and Micromax joining Dallas Venture Capital. Amritanshu Jain told TechCrunch, “Nobody actually needs the fastest or the cheapest inference,” arguing that businesses instead need AI models to run at speeds and costs suited to their specific applications. Simplismart said it can optimize how quickly a model responds, how many requests it handles, and how much computing power it consumes, while letting companies deploy through its platform or within their existing cloud and on-premises infrastructure.
Simplismart said it helped AI video-generation platform InVideo cut its GPU serving costs by 56%, and it also works with HeyGen and Higgsfield, as well as enterprise AI startup Ema and Indian cloud provider Yotta. TechCrunch reported that Nvidia worked with Simplismart on technical integrations around its Dynamo inference software, with Simplismart engineers and Nvidia solutions architects collaborating on the effort.
From inference to scheduling
Simplismart said the new funding would support expansion of cloud-provider and sovereign AI partnerships, alongside growth across North America and other global markets. Devansh Ghatak, co-founder and chief technology officer of Simplismart, said the funding would back work toward “a dynamic GPU scheduling layer that can match AI workloads with available computing capacity across regions and time zones,” tying the roadmap to better use of GPU infrastructure. The Economic Times reported that Simplismart’s co-founder and CEO Amritanshu Jain said the startup recorded 14x growth in its annualised revenue run rate over the past six months.
Simplismart said it builds the software layer that turns third-party GPU fleets into production AI infrastructure, and it described its approach as different from inference providers that buy or reserve GPU capacity and resell it. Simplismart said Yotta uses its technology for the serverless AI inference service in its Shakti Studio platform, and it framed the offering as enabling cloud providers to offer managed AI services under their own brands without building their own software stack from scratch.