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Enrission India Capital participates in Ottonomy’s Rs 40.6 Cr funding round

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Enrission India Capital participates in Ottonomy’s Rs 40.6 Cr funding round

AI-powered autonomous delivery robot developer Ottonomy has raised approximately Rs 40.6 crore ($4.2 million) in a post-seed funding round, with Japan-based venture capital firm Enrission India Capital participating in the investment.

The fresh capital will support the company’s global expansion across healthcare and industrial automation, where demand for autonomous logistics solutions is increasing amid workforce shortages, Ottonomy said in a press release.

Founded by Ritukar Vijay, Ottonomy develops AI-powered autonomous delivery robots designed to operate across indoor and outdoor environments. Its flagship product, Ottobot, uses the company’s proprietary Contextual AI technology to enable autonomous deliveries across complex facilities with minimal human intervention.

The company’s robots are designed to help hospitals and enterprises automate the transportation of medicines, medical equipment, supplies and other materials. In healthcare facilities, this could help reduce the time medical professionals spend on logistical tasks and allow them to focus more on patient care.

With the latest investment, Ottonomy plans to strengthen its presence in global markets and expand the deployment of its autonomous delivery solutions across healthcare and industrial facilities.

Enrission India Capital is a Japan-based venture capital firm that invests in early-stage Indian startups, primarily from Seed to Series B. The firm focuses on sectors such as consumer, logistics, climate-tech and enterprise technology. It also works with its portfolio companies to explore international expansion opportunities, particularly in Japan. Its portfolio includes GoDesi, Pico Xpress, Uravu Labs, StackBox and Hexalog.

Ottonomy operates in the autonomous delivery and robotics segment, where companies are developing AI-powered solutions to address last-mile logistics, workforce shortages and operational efficiency across commercial and institutional settings.


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