Recently Aivar, an AI services startup headquartered in Coimbatore, India, has raised about ₹41 crore in a seed funding round led by Sorin Investments, with participation from Bessemer Venture Partners.
The round marks the company’s first significant institutional investment and illustrates early investor confidence in AI services firms that help enterprises scale real-world adoption of artificial intelligence.
Founded in 2024, Aivar works with startups and large enterprises to design, deploy and manage artificial intelligence solutions that function reliably in everyday business operations. The company focuses on enterprise-grade AI development, emphasizing security, scalability and seamless integration with existing business systems.
Unlike AI firms that primarily sell software or standalone tools, Aivar positions itself as a full-stack AI services partner, offering end-to-end support from AI strategy and system design to deployment and long-term maintenance.
Aivar was established by Koushik Rajendra, Praveen Jayakumar, Ashwin Ram Ravichandran and Aadharsh Ayappan, all former Amazon Web Services (AWS) professionals. Their combined experience spans firm architecture, engineering leadership, data platforms, sales and strategy.
Since the year of establishment, Aivar claims to have served more than 80 customers spanning both early-stage experimentation and full-scale enterprise AI implementations.
Many companies are excited and want to use AI but struggle to make it work in real everyday business tasks. This is where Aivar helps to bridge the gap by turning AI experiments into real, usable tools that businesses can implement easily.
The fresh capital will be used to expand Aivar’s presence in India, the United States, and the Middle East; strengthen its engineering and research teams; and invest in proprietary AI accelerators and reusable components aimed at reducing deployment time for enterprise clients.
This distinction matters: investors are increasingly backing AI services players that help companies operationalize AI, not just experiment with it, especially as enterprises across industries (finance, logistics, healthcare and retail) push to embed AI into core workflows rather than isolated projects.
