Simplismart Raises $7M to Revolutionize Enterprise AI Deployment with High-Performance Inference Engine

Simplismart Secures $7M in Series A Funding

Simplismart, an artificial intelligence (AI) startup officially known as Verute Technologies Pvt Ltd., has successfully raised $7 million in a Series A funding round led by Accel 1

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. The round also saw participation from Shastra VC, Titan Capital, and notable angel investors including Akshay Kothari, co-founder of Notion Inc 1

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Innovative AI Inference Engine and MLOps Platform

Founded in 2022 by Amritanshu Jain and Devansh Ghatak, Simplismart has developed what it claims to be the world's fastest inference engine 1

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. The startup's platform is designed to optimize the performance of AI model deployments, addressing key challenges in enterprise AI adoption 1

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Simplismart's inference engine has demonstrated impressive capabilities:

• Ability to run the open-source Llama 3.8B model at a throughput of over 440 tokens per second 1

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• Achieved a throughput of 501 tokens per second on the Llama 3.1 8B model 3

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• Optimized performance across various modalities including text-to-speech, speech-to-text, and text-to-image 3

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The platform offers a comprehensive MLOps solution tailored for on-premises AI deployments, providing a standardized language for software engineers to create generative AI applications 1

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Addressing Enterprise AI Adoption Challenges

Simplismart aims to solve several bottlenecks that hinder enterprise AI adoption:

1. Lack of standardized workflows
2. High costs leading to poor return on investment (ROI)
3. Data privacy concerns
4. Need for system control and customization 1

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The startup's platform allows companies to deploy custom generative AI applications with full control, offering an alternative to expensive and rigid third-party APIs 1

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Market Opportunity and Growth

Simplismart's solution addresses a significant market need, with data suggesting that almost 90% of enterprise machine learning projects never make it into production 1

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. The startup has already amassed around 30 customers, delivering a combined $1 million in revenue on an annual run rate basis 1

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Jain, the co-founder and CEO, expressed confidence in reaching $5 million in revenue by the first quarter of next year 1

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. The company aims to scale to $10 million annual recurring revenue (ARR) in the next 15 months by targeting the top 50 AI-first enterprises and driving open-source adoption of their Terraform-like orchestration language 3

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Funding Allocation and Future Plans

The newly secured funding will be used for:

1. Product development
2. Recruitment
3. Investment in sales and marketing efforts 1

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Simplismart plans to improve the performance of its MLOps platform further and develop new techniques to increase the speed of AI inference, maintaining its competitive edge in the market 3

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Industry Perspective

Anand Daniel, Partner at Accel, highlighted the growing trend of companies deploying and customizing AI models on their own infrastructure for better control over performance, cost, data security, and privacy 1

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. This shift in enterprise preferences aligns well with Simplismart's offering, positioning the startup for potential growth in the evolving AI infrastructure market.