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Simplismart enables businesses to build a scalable production-grade AI system and manage the development lifecycle without writing a single line of code. This helps them ship deep learning models in days instead of months saving them hundreds of thousands of dollars in engineering costs.

Vice President & Asia Business Head @ RapidCanvas | SaaS | No Code | AI | Data Science | MLOps

Saurabh Thakral

Simplismart | IIM Ahmedabad | Duke

Pratheek Remesh Menon

Machine Learning Engineer @ Simplismart | Machine Learning | Data Scientist | AOSP

Pranav Thombare

Building Simplismart | BITS Pilani | ex-Google

Devansh Ghatak

Google for Startups

Fastest inference for generative AI workloads. Simplified orchestration via a declarative language similar to terraform. Deploy any open-source model and take advantage of Simplismart’s optimised serving. With a growing quantum of workloads, one size does not fit all; use our building blocks to personalise an inference engine for your needs. ***API vs In-house*** Renting AI via third-party APIs has apparent downsides: data security, rate limits, unreliable performance, and inflated cost. Every company has different inferencing needs: *One size does not fit all.* Businesses need control to manage their cost <> performance tradeoffs. Hence, the movement towards open-source usage: businesses prefer small niche models trained on relevant datasets over large generalist models that do not justify ROI. **Need for MLOps platform*** Deploying large models comes with its hurdles: access to compute, model optimisation, scaling infrastructure, CI/CD pipelines, and cost efficiency, all requiring highly skilled machine learning engineers. We need a tool to support this advent towards generative AI, as we had tools to transition to cloud and mobile. MLOps platforms simplify orchestration workflows for in-house deployment cycles. Two off-the-shelf solutions readily available: 1. Orchestration platforms with model serving layer: *do not offer optimised performance for all models, limiting user’s ability to squeeze performance* 2. GenAI Cloud Platforms: *GPU brokers offering no control over cost* Enterprises need control. Simplismart’s MLOps platform provides them with building blocks to prepare for the necessary inference. The fastest inference engine allows businesses to unlock and run each model at performant speed. The inference engine has been optimised at three levels: the model-serving layer, infrastructure layer, and a model-GPU-chip interaction layer, while also enhanced with a known model compilation technique.

Provider of AI-based no-code machine learning platform

Bengaluru Startup Simplismart Steals the Show! While hardware giants like NVIDIA , Groq , and Cerebras Systems race for the fastest inference, Simplismart takes a different path—focusing on software innovation to revolutionize AI deployment Led by ex- Oracle and Google engineers, Simplismart’s model-agnostic, chip-agnostic platform boasts record-breaking speeds, such as 343 tokens/sec for Llama 3.1 8B, without relying on proprietary hardware. Their MLOps platform empowers enterprises to fine-tune and deploy AI models with unmatched efficiency and control, keeping privacy and autonomy front and center. With $7M in funding from Accel and others, this Bengaluru-based startup is proving you don’t need hardware to win the AI race. Speaking with AIM, Amritanshu Jain , the co-founder and CEO, quickly clarified that Simplismart isn’t looking to enter the hardware race. Curious about their story and vision? Read more here 👉 https://lnkd.in/giAvXtTi Devansh Ghatak

Llama3-8B working at over 330 tokens per second is fast! This is the fastest inference time on Nvidia chips that I've seen. Look at the attached comparison and how @SimplismartHQ is way ahead of everyone else. Speed makes a huge difference, but that's only one aspect when deploying AI applications at scale. Companies are finding out the hard way that MLOps is critical to build anything serious. It's not just about choosing and deploying a model, but you also need to worry about fine-tuning, evaluation, deployment, optimization, and the ability to do it all automatically and repeatedly. SimplismartHQ is an end-to-end MLOps platform for Generative AI models in production: • Fine-tuning • Deployment • Lightning-fast inference • Observability They integrate with AWS, Azure, GCP, and many other cloud providers, so you can scale your deployments as much as you need without breaking the bank. For those of you who are building AI applications, check them out here: https://lnkd.in/eYPA94GX The Simplismart team partnered with me on this post. So far, in 2024, I've seen a massive number of companies focus on building tools for developers. This is huge! I hope the trend continues in 2025.

Santiago Valdarrama

Being the fastest inference engine doesn’t necessarily make you the best, says Amritanshu Jain , co-founder and CEO of Simplismart . Amritanshu believes that demand for specialised AI infrastructure platforms will soon skyrocket, as enterprises move beyond off-the-shelf AI capabilities in favour of greater control over performance, cost, and privacy. Watch Episode 3 of #DecodingAI , where Amritanshu and Anagh Prasad discuss building world-class AI infrastructure from India.

SeedToScale

We're thrilled to present at TechCrunch Disrupt in Moscone West (San Francisco) for the next three days! If you're here and are building Generative AI pipelines, visit our booth, J10, for a free diagnosis of your GenAI workloads. Our audit covers aspects like model quality, inference speed, and cost efficiency, plus a review of data exposure risk. See you there! 🙌

Simplismart

Simplismart is presenting at Techcrunch Disrupt this year! 🙌 The Techcrunch Startup Battlefield competition accepts thousands of applications, and the top 200 selected companies get to present in San Francisco. We will present and set up our booth at Moscone West (SF) for the next three days (28th-30th October), and we can't wait to bring the fastest inference to the Valley. If you're at Techcrunch Disrupt this year, feel free to drop by our booth (J10) to have your Generative AI workloads diagnosed.

Simplismart is thrilled to be at the NVIDIA AI Summit India, and the energy here is unparalleled. We are offering a free audit of your ML pipeline with a complete report generated and sent to you. Come and see if your ML pipelines has any dangerous exposure or any room for optimisation. Head to the G2 Booth right now! This complimentary audit of your current MLOps setup - no strings attached - includes aspects like model quality, speed, and cost optimization, along with a review of your existing data vulnerabilities to find opportunities for enhancement. Super-excited to help you unlock up to 10x better speed and performance through efficient model serving and fine-tuning! Devansh Ghatak Amritanshu Jain Ansh Pratap Singh Tushar Goel Pratheek Remesh Menon

We are at the NVIDIA AI Summit in Mumbai! Find us at our booth - G2. The energy is beyond infectious. We're proud to be an Inception Partner of NVIDIA for this occasion. Just a week ago, Artificial Analysis released the results of their tests, confirming our inference engine is the fastest on NVIDIA chips (graph below!). We are happy to open public access to try out the fastest speed of generative AI models at our exclusive booth during the summit. We hope to see you there! PS: we have some exciting gifts for you too! 😉

We just raised $7 million in a Series A round led by Accel ! At Simplismart , we set out to solve a challenge that we, as ML engineers, knew all too well: pushing AI into production is hard. We've built the fastest inference engine for generative AI workloads. Our E2E MLOps platform helps users train, deploy, and observe generative AI models in production - all enabled via a simple declarative language like Terraform. While our product was in stealth, we served some of the fastest-growing AI companies. We've now crossed $1M in ARR and are thrilled to launch publicly. Check out our speed here: https://lnkd.in/gdFY339G Want to enhance your AI? Let's chat: https://lnkd.in/gRi3qB8b We owe it all to our early believers, supportive customers, and, last but in no way least - our team! Read more here: https://lnkd.in/gvD375XF Amritanshu Jain Devansh Ghatak Accel

Full Stack web developer. Expert at React || Node || Express || MongoDB || Redux

Tanmoy Acharjee

Student at SHRI RAM GROUP OF COLLEGES,MUZAFFARNAGAR.

Priyanshi Rastogi

Coder ,Chess player, love to watch movies

Shashi Kumar Chaurasiya

Med student|Neurobiology at XcitEducation Worldwide

Harshita Singhal

Xcite Education is an online learning platform that provides both generalized as well as academic enhancement in skills. Xcite Education focuses on building a strong base for the students ranging from 6 grade to 12 grade. We are a dedicated team with expertise in providing the world-class experience ranging from theoretical to practical knowledge. The boat of learning will start its sail from the basics of curriculum and will take you to a long voyage of learning in technical skills with programming knowledge and professional development. The experience with Xcite will be like never before because here is a team of skilled professionals for every single child who chooses us.

Building Simplismart | IIIT - Bhubaneswar

Shripati Pandey

I’m a full-stack engineer who enjoys building scalable systems and great user experiences. At Simplismart, I owned the frontend while also working on backend microservices, async processing, and model benchmarking. I’ve also worked on large-scale data pipelines, web scraping tools, and fine-tuned LLMs for content generation at Sparklin. Skilled in React, Django, and bringing products to life. 

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Fine-tune and deploy GenAI models with Simplismart's fastest inference engine. Get started with our optimized deployment for generative AI models & MLOps workflow.