January 24, 2025: Startup Pipeshift, a cloud platform for fine-tuning and inferencing open-source LLMs, has raised $2.5 million in a seed round led by Y Combinator and SenseAI Ventures.
Pipeshift revealed that it will deploy the fresh capital raised to introduce a new-age Platform-as-a-Service (PaaS) that facilitates engineering teams to orchestrate AI workloads across any infrastructure–cloud or on-premises–with unprecedented speed and control.
Arko Chattopadhyay, Co-founder and CEO of Pipeshift, said “2025 marks the year when GenAI transitions into production, and engineering teams are witnessing the benefits of using open-source models in-house,”
The firm stated that over 80% of enterprises are adopting open-source AI models, but efficient and secure deployment remains a significant challenge, requiring complex integration of over 10 components and thousands of engineering hours for optimization.
“Pipeshift’s enterprise-grade orchestration platform eradicates the need for such extensive engineering investments by not only simplifying deployment but also maximizing the production throughput,” added Chattopadhyay.
Pipeshift Simplifying Deployment and Maximising the Production of Enterprises
Rahul Agarwalla, Managing Partner of SenseAI Ventures, said Pipeshift’s platform also eliminates the need for extensive engineering investments by simplifying deployment and maximising the production throughput.
Pipeshift has engaged with over 30 companies such as NetApp, and envision to become the trusted partner for corporations aiming to unlock AI’s potential while maintaining control of their infrastructure and data, according to the company statement.
The round saw participation from Arka Venture Labs, Good News Ventures, Nivesha Ventures, Astir VC, GradCapital, and MyAsiaVC.
Seasoned Silicon Valley angels like Kulveer Taggar, CEO of Zuess; Umur Cubukcu, CEO of Ubicloud and former Head of PostgreSQL at Azure; and Krishna Mehra, former Head of Engineering at Meta and Co-founder of Capillary Technologies; the firm declared in a statement.
