Key Takeaways
- • Simplismart raised $14 million in a Series B round led by Dallas Venture Capital, with participation from NVIDIA, Accel, Shastra VC and Micromax, to expand its AI inference platform.
- • The company said its annualised revenue run rate grew 14-fold over the past six months, according to co-founder and CEO Amritanshu Jain.
- • Simplismart positions its software layer between AI models and third-party GPU infrastructure, rather than buying and reselling GPU capacity.
- • Named customers include HeyGen, Higgsfield, InVideo, Shiprocket, Apna, Ema and Yotta, with InVideo reportedly cutting GPU serving costs by 56%.
- • Proceeds will support cloud-provider and sovereign AI partnerships, North American expansion, and development of a dynamic GPU scheduling layer.
Summary
Simplismart raised $14 million in Series B funding led by Dallas Venture Capital, with participation from NVIDIA, Accel, Shastra VC and Micromax, according to the company's announcement as reported by multiple outlets. TechCrunch described the round as all-primary. The funding is intended to expand Simplismart's AI inference platform.
The company describes its product as a modular inference engine that lets businesses configure how AI models run based on speed, cost and performance, paired with an orchestration platform that manages deployment and scaling across cloud and on-premises infrastructure. Co-founder and CEO Amritanshu Jain said that inference economics depend on "what each interaction costs, how quickly the application responds, and whether it stays reliable as demand grows." Simplismart says it sits between AI models and GPU infrastructure, building the software layer that turns third-party GPU fleets into production AI infrastructure. It contrasts this with inference providers that buy or reserve GPU capacity and resell it.
Simplismart said its annualised revenue run rate grew 14-fold over the past six months, a figure Jain also gave to The Economic Times. The company cited production customers including HeyGen, Higgsfield, InVideo, Shiprocket, Apna and Ema across video, voice, multimodal and enterprise AI applications. It said it helped InVideo cut GPU serving costs by 56%, and that Yotta uses its technology for the serverless inference service in its Shakti Studio platform. TechCrunch reported that Nvidia worked with Simplismart on technical integrations around its Dynamo inference software.
Dayakar Puskoor, managing partner at Dallas Venture Capital, said "inferencing is emerging as one of the biggest game changers in AI economics." Devansh Ghatak, co-founder and CTO, said the funding would support work toward "a dynamic GPU scheduling layer that can match AI workloads with available computing capacity across regions and time zones." The company said proceeds will also go toward cloud-provider and sovereign AI partnerships and growth across North America and other global markets.
The company describes its product as a modular inference engine that lets businesses configure how AI models run based on speed, cost and performance, paired with an orchestration platform that manages deployment and scaling across cloud and on-premises infrastructure. Co-founder and CEO Amritanshu Jain said that inference economics depend on "what each interaction costs, how quickly the application responds, and whether it stays reliable as demand grows." Simplismart says it sits between AI models and GPU infrastructure, building the software layer that turns third-party GPU fleets into production AI infrastructure. It contrasts this with inference providers that buy or reserve GPU capacity and resell it.
Simplismart said its annualised revenue run rate grew 14-fold over the past six months, a figure Jain also gave to The Economic Times. The company cited production customers including HeyGen, Higgsfield, InVideo, Shiprocket, Apna and Ema across video, voice, multimodal and enterprise AI applications. It said it helped InVideo cut GPU serving costs by 56%, and that Yotta uses its technology for the serverless inference service in its Shakti Studio platform. TechCrunch reported that Nvidia worked with Simplismart on technical integrations around its Dynamo inference software.
Dayakar Puskoor, managing partner at Dallas Venture Capital, said "inferencing is emerging as one of the biggest game changers in AI economics." Devansh Ghatak, co-founder and CTO, said the funding would support work toward "a dynamic GPU scheduling layer that can match AI workloads with available computing capacity across regions and time zones." The company said proceeds will also go toward cloud-provider and sovereign AI partnerships and growth across North America and other global markets.
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