Archive · 25 Aug 2026
WATER Raises $2.5 Million for Adaptive Physical AI
WATER is a technology company making furniture that can react to people.
It raised $2.5 million to develop this technology.
Endiya Partners led the investment.
Pullela Gopichand, Rohit Chennamaneni and Nandan Reddy also invested.
WATER’s FLOW product is a chair that studies posture, movement and pressure.
Its CAMA product is a bed designed to help with sleep, recovery and breathing.
The company says its Vortex model helps surfaces sense, understand and respond to the body.
WATER will use the money to test the system across different products and users.
Hyderabad-based physical AI startup WATER raised $2.5 million in funding.
Endiya Partners led the round, which included Pullela Gopichand, Rohit Chennamaneni and Nandan Reddy.
WATER is developing AI-powered adaptive surfaces that sense and respond to the human body in real time.
Its products include FLOW, an adaptive chair, and CAMA, an adaptive bed, built on the Vortex model.
The funding will support technical validation across products and users, while WATER explores automotive and aviation applications.
- Who
- Hyderabad-based startup WATER, led by founder and CEO Teja Vinukollu, raised funding from Endiya Partners and other investors.
- What
- WATER raised $2.5 million to develop and technically validate AI-powered adaptive surfaces.
- When
- The funding was reported on August 24, 2026.
- Where
- WATER is based in Hyderabad; the articles do not specify the location of the funding announcement.
- Why
- The funding will support technical validation of the Vortex model across products and users, as well as further development and exploration of new applications.
- Company
- WATER
- Funding raised
- $2.5 million, reported as about Rs 23.7 crore
- Lead investor
- Endiya Partners
- Other investors
- Pullela Gopichand, Rohit Chennamaneni and Nandan Reddy
- Products
- FLOW adaptive chair and CAMA adaptive bed
- Underlying model
- Vortex
- Funding purpose
- Technical validation across products and users
