Aina emerges from stealth with $5.5 million seed round for AI-native hardware
Aina is developing hardware that understands user context and enables more natural interactions with AI assistants.
Emerging from stealth, Aina has raised $5.5 million (around ₹53 crore) in seed funding through a round co-led by Redstart Labs and 360 ONE Asset. Redstart Labs is the venture arm of Info Edge Ventures.
The funding round also attracted investments from MIXI Global Investments, Antler, Blume Founders Fund, and a group of angel investors, including Kunal Shah, Tikhon Bernstam, Harshil Mathur, Shashank Kumar, and Vaibhav Domkundwar.
The fresh capital will be used to bring Aina’s flagship AI-native hardware interface to market, expand its engineering and product teams, and strengthen operations across its Bengaluru and San Francisco offices. The company currently employs around 35 people and operates a manufacturing facility in Bengaluru. It has also opened the waitlist for an early pilot of its flagship product.
Founded in 2025 by former Ultrahuman Vice President of Hardware Apoorv Shankar, Aina is building context-aware AI hardware interfaces designed to simplify how users interact with artificial intelligence.
Before launching Aina, Apoorv Shankar founded AI wearable startup LazyCo, which was acquired by Ultrahuman in 2022. He later spent over 3 years leading hardware development and manufacturing initiatives at Ultrahuman.
Rather than relying on traditional apps, keyboards, and touchscreens, Aina is developing hardware that understands user context and enables more natural interactions with AI assistants. Before building its flagship product, the company introduced Dune, a programmable three-key keypad for Mac that dynamically changed its functions based on the application in use. Combined with a natural language AI workflow builder, Dune served as Aina’s initial experiment in context-aware computing.
After showcasing three AI interface prototypes at CES 2026, the startup officially launched Dune in April and claims to have shipped hundreds of units. The insights gathered from these early deployments are now being used to refine and train its flagship AI-native hardware platform.