At a time when artificial intelligence promises to transform every aspect of our digital lives, an uncomfortable question emerges: why are we still interacting with machines as if it were 2007? The startup Aina, headquartered in San Francisco and Bangalore, has just closed a $5.5 million seed round led by Redstart Labs and 360 ONE Asset. Its goal is not to build another chatbot or a smarter voice assistant, but to create the physical layer that allows humans to say 'yes' or 'no' to AI proposals instantly and without friction.
The concept stems from a simple yet powerful observation: every day we perform hundreds of small digital tasks —unlocking the phone, opening an app, waiting for it to load, typing what the device already knows we were going to type— and on each one we pay an invisible toll in lost seconds and cognitive load. Aina calls that toll 'the last great frontier of consumer hardware.' While software advances by leaps and bounds —AI models generate films, agents automate entire meetings— the physical interface we use to give commands remains anchored to the 1868 keyboard and the 2007 touchscreen.
Aina's bet is that, in the age of AI agents, the only relevant human task will be to approve or reject actions that machines have already anticipated. To that end, they are developing a contextual three-key keypad called Dune, which automatically adapts to the open application: during a video call it allows mute, camera toggle, or leave; in a browser it offers other options. It is an instrument to capture human consent tactilely, silently, and decisively, without relying on voice —which is slow, public, and error-prone— or on hierarchical menus inherited from the 1980s.
The history of AI hardware is littered with corpses: Humane burned $230 million and ended up selling its remains for $116 million; Rabbit sold 100,000 units but retained only 5,000 daily active users; the Friend pendant barely reached 3,000 units. All these companies tried to replace the smartphone with a worse device. Instead, Aina does not compete with the phone: it complements it. Its architecture relies on existing operating systems —macOS, iOS— to read context and offer intelligent actions, but without intending to replace the screen or the current ecosystem.
Behind this strategy there is a team with real experience in consumer hardware. Apoorv Shankar, founder and CEO of Aina, was VP of Hardware at Ultrahuman, the Indian company that makes smart rings and managed to multiply its revenue 5.4 times in one year, swinging from losses to profit while competing with Finnish giant Oura. That operational background —designing, manufacturing, and scaling hardware globally from India— is exactly what was missing in previous failures, led by brilliant software designers who learned manufacturing at the investors' expense.
But Aina's opportunity is not limited to a desktop keypad. If AI agents become the dominant way to perform tasks —booking a cab, scheduling a meeting, ordering food— whoever owns the physical instrument for giving the go-ahead will sit in the flow of every digital transaction. It is the same logic that turned the mouse into the Trojan horse of the graphical interface, and the touchscreen into the foundation of the iPhone empire. History shows that companies that understood a peripheral was actually a claim on the human interaction layer captured value for decades.
For businesses looking to integrate these new interfaces into their processes, the challenge is not only technological but also one of adaptation. This is where Q2BSTUDIO, as a company specialized in software development and technology, can make a difference. Creating custom software that can communicate with these approval devices requires understanding both the business context and the capabilities of AI agents. It is not enough to have an API; you need to design flows where human decision is the control point, and that implies rethinking backend logic, user experience, and data security.
Security is another critical factor. If a contextual keypad will read which application we are working on and what actions to suggest, it must do so without exposing sensitive information. Solutions for AI and cybersecurity must go hand in hand: end-to-end encryption, biometric authentication, and communication protocols that prevent a third party from intercepting approval commands. At Q2BSTUDIO we work with cloud architectures on AWS and Azure to ensure scalability and regulatory compliance, as well as Business Intelligence tools such as Power BI to monitor the performance of these new interaction systems.
Aina's round has a clear thesis: the interface, not the intelligence, is the real bottleneck for AI adoption. While OpenAI acquires Jony Ive's studio for $6.5 billion to build its own screenless device, and Meta finds in its Ray-Ban glasses the only mass success in the sector, Aina bets on a more modest but more solid path: first ship a real product into the hands of real users, collect usage data, and then scale. That sequence —first the functional prototype, then the capital— is exactly the opposite of the sector's failures.
The question that remains to be answered is whether the 'proposal and approval' grammar will become the new interaction standard. If AI agents manage to anticipate our needs accurately, the only necessary human gesture will be an affirmative or negative touch. And that gesture, to be truly fluid, must be tactile, instant, and silent. Aina is building that instrument. Time will tell if the world was waiting for a button to say 'yes' to machines.
