Bengaluru-based TrueFoundry, a cutting-edge AI deployment and scaling platform, has raised $19 million in Series A funding for transforming AI deployment by providing scalable solutions for enterprise AI, optimizing NVIDIA GPU usage, and streamlining machine learning workflows.
The funding led by Intel Capital saw participation from Existing investors Eniac Ventures and Peak XV’s Surge, along with new investor Jump Capital and prominent angel investors—including Gokul Rajaram, Mohit Aron, Cyan Banister, and executives from Fortune 1000 companies—also participated in the round. This latest funding brings TrueFoundry’s total financing to $21 million.
“At TrueFoundry, we’re building a future where AI manages AI—removing the bottlenecks of human intervention and unlocking unparalleled speed and scale,” said Abhishek Choudhary, chief technology officer and co-founder of TrueFoundry.
TrueFoundry Fueling AI Deployment Innovation
TrueFoundry’s cloud-native platform streamlines machine learning (ML), model training, and deployment, eliminating enterprise infrastructure bottlenecks. The company collaborates with leading businesses like Games 24×7, Whatfix, and Siemens Healthineers to optimize AI scalability and efficiency. By automating resource allocation and job scheduling, TrueFoundry enhances NVIDIA’s GPU usage for large language models (LLMs), reducing idle time and cutting costs.
With this investment, TrueFoundry plans to expand its team and amplify go-to-market strategies to attract more enterprises seeking seamless AI solutions. Avi Bharadwaj, investment director at Intel Capital, will join the company’s board of directors to support its growth trajectory.
“Enterprises using TrueFoundry have built and launched their internal AI platforms in as little as two months, achieving return on investment within four months—a stark contrast to the industry average of 14 months,” said Nikunj Bajaj, chief executive officer and co-founder of TrueFoundry.
Rapid AI Deployment with Scalable Solutions
TrueFoundry enables enterprises to deploy ML models in minutes, significantly accelerating AI-driven innovation. Unlike traditional AI platforms that take over a year to deliver returns, TrueFoundry helps companies build and launch AI applications within two months, achieving ROI in just four months.
The platform supports multiple clouds, frameworks, and models, preventing vendor lock-in while ensuring adaptability to emerging AI trends like Retrieval-Augmented Generation (RAG) and AI Agents. Its developer-first interface empowers full-stack data scientists to independently build, test, and scale applications without extensive engineering dependencies.
“TrueFoundry is uniquely positioned to address the growing complexities of AI deployment. Their platform simplifies the process for AI teams, enabling them to build, deploy, and scale applications quickly and efficiently,”,” said Intel Capital’s investment director Avi Bharadwaj.
Accelerating Growth and Market Expansion
TrueFoundry has experienced a four-fold year-over-year customer increase and has deployed over 1,000 ML clusters across various enterprises. Its partnerships with global organizations—including ResMed, Automation Anywhere, and NVIDIA—demonstrate its growing influence in AI.
Looking ahead, TrueFoundry aims to redefine AI deployment with its AI Agent. This self-sustaining system anticipates and adapts to evolving AI demands. The company positions itself as a game-changer in enterprise AI development and deployment by removing infrastructure complexities.
Stay ahead of the curve and follow IndiaTechDesk on Facebook, Twitter and Linkedin for in-depth news of market trends, funding updates, and regulatory changes affecting startups in India.
Read More:
- Wiom Raises $17 Million in Series A Round to Democratize Affordable Internet Access in India
- Travel Fintech Startup Scapia Bags $23 Million in its Series A
- Funding Winter Forces Indian Startups to LayOff Thousands Amid Economic Downturn
- Y-Combinator backed SaveIN Secures $8 million Over Nine Months
- Funding Winter Chills Indian Startups, Valuations Slide as Unicorns Dwindle