Bengaluru-based Simplismart is building AI infrastructure that helps enterprises deploy and optimise AI models while reducing computing costs.
Artificial intelligence is growing rapidly, but running AI models at scale remains expensive.
Businesses need powerful GPUs, specialised infrastructure and sophisticated software to deploy AI applications efficiently.
Training an AI model is only one part of the process. The bigger challenge begins when businesses need to serve millions of real-world requests.
This is where Simplismart enters the market.
Founded in 2022, Simplismart is building AI inference infrastructure that helps enterprises deploy, manage and optimise AI models.
Its platform focuses on improving computing efficiency, reducing inference costs and simplifying enterprise AI deployment.
Simplismart was founded by Amritanshu Jain and Devansh Ghatak.
Both founders studied at BITS Pilani and have experience working in the technology industry.
Amritanshu Jain serves as Co-Founder and CEO and previously worked at Oracle.
Devansh Ghatak is the company's Co-Founder and previously worked at Google.
The founders identified an opportunity beyond consumer-facing AI applications: building the infrastructure that allows AI applications to operate efficiently.
Simplismart primarily follows a B2B enterprise software model.
Its business includes:
• AI Model Deployment: Helping businesses deploy machine-learning models into production.
• Inference Optimisation: Improving model performance and reducing computing expenses.
• Enterprise Infrastructure: Supporting cloud, private VPC and on-premises deployments.
• Model Management: Providing monitoring, scaling and workload management capabilities.
• Cloud Partnerships: Helping infrastructure providers deliver AI inference services.
Its commercial opportunity grows as more enterprises move AI applications from experimentation into production.
In October 2026, Simplismart announced a $14 million Series B funding round.
The round was led by Dallas Venture Capital.
Other participating investors included NVIDIA, Accel, Shastra VC and Micromax.
The company reportedly reached an approximately $100 million post-money valuation.
The funding is intended to support product development, infrastructure optimisation, cloud partnerships and international expansion.
NVIDIA's participation is strategically important because Simplismart operates in the GPU computing and AI infrastructure ecosystem.
Simplismart focuses on AI inference infrastructure.
Inference is the process through which a trained AI model generates predictions, responses or other outputs.
Its platform helps enterprises optimise:
• GPU utilisation.
• Model-serving performance.
• Inference latency.
• Computing costs.
• Workload orchestration.
• Infrastructure scalability.
One notable example is its work with AI video platform InVideo.
Simplismart has reported that its technology helped InVideo reduce GPU serving costs by 56%.
This demonstrates the commercial value of infrastructure optimisation.
Simplismart operates in several enterprise technology markets, including AI video, voice AI, logistics, fintech and e-commerce.
Its reported customers and ecosystem relationships include:
• HeyGen
• Higgsfield
• InVideo
• Shiprocket
• Apna
• Ema
• BlackBuck
• Razorpay
• Yotta
The company has also developed relationships within the NVIDIA ecosystem.
Its international customer base provides opportunities to compete beyond India's domestic enterprise market.
One of Simplismart's most interesting developments is its reported revenue acceleration.
The company reported 14x growth in annualised revenue run rate over six months.
Its CEO also described the business as having reached an eight-figure annualised revenue run rate.
However, the exact ARR figure has not been publicly disclosed.
Annualised revenue run rate should not be confused with audited annual revenue.
For AI infrastructure companies, improving customer economics while maintaining strong performance can become a major competitive advantage.
Simplismart operates in an increasingly competitive AI infrastructure market.
Its competitors include specialised inference platforms, cloud infrastructure providers and larger technology companies developing their own AI-serving systems.
The company must continue improving its technology while maintaining attractive economics for enterprise customers.
Its differentiation will depend on performance, reliability, infrastructure flexibility and measurable cost savings.
Simplismart's next opportunity lies in international expansion and deeper enterprise adoption.
As AI applications become more sophisticated, businesses will need infrastructure capable of handling larger workloads efficiently.
The company could benefit from growing demand for AI video, voice AI, enterprise automation and specialised AI applications.
However, long-term success will depend on customer retention, technology differentiation and its ability to compete against established infrastructure providers.
The biggest opportunity in artificial intelligence may not always belong to companies building the most popular AI applications.
It may also belong to the companies building the infrastructure that makes those applications economically viable.
Simplismart represents this opportunity.
Its $14 million Series B funding, NVIDIA participation and reported revenue acceleration position it as an interesting Indian AI infrastructure story.
The real test will be whether it can turn its technology into an essential infrastructure layer for global enterprise AI.
