A Bengaluru and San Francisco-based startup, Aina, formerly known as Project Mirage, has successfully closed a seed funding round totaling $5.5 million, marking a significant step in its mission to develop innovative interfaces for controlling artificial intelligence agents. This investment signals growing confidence in a new generation of hardware designed not merely to record user activities, but to actively orchestrate AI-driven workflows and actions.

The funding round was spearheaded by Redstart Labs (Infoedge, India) and 360 ONE, with notable participation from MIXI Global Investments, Antler, and Blume Founders Fund. Additionally, a cohort of prominent individual investors contributed, including Kunal Shah, recently appointed head of WhatsApp; Harshil Mathur and Shashank Kumar, co-founders of Razorpay; and Tikhon Bernstam, founder of Scribd. This diverse backing underscores the widespread interest in solving the burgeoning challenge of seamless human-AI interaction.

The Crowded Arena of AI Interfaces

The quest to develop the definitive interface for the artificial intelligence era has ignited a fierce competition among startups and established tech giants alike. As generative AI models and large language models (LLMs) like OpenAI’s GPT series, Google’s Gemini, and Anthropic’s Claude become increasingly sophisticated, the traditional methods of human-computer interaction—keyboards, mice, and touchscreens—are proving insufficient for fully harnessing their capabilities. A new paradigm is emerging, one that demands more intuitive, context-aware, and proactive ways for users to command these powerful digital assistants.

This drive has led to a proliferation of experimental devices, each vying for a unique position in the nascent market. Competitors in this space include wearables like the Sandbar ring, Plaud’s AI pin and desktop notetaker, and Pocket’s credit card-sized pucks, which primarily focus on capturing ambient audio and transcribing conversations. Other ventures, such as Bee and Friend, explore different wearable form factors, while smart glasses initiatives like Meta Ray-Bans and Even Realities aim to integrate AI into visual overlays and augmented reality experiences. More direct AI control devices, like the much-discussed Humane AI Pin and the Rabbit R1, have also entered the fray, promising screenless, voice-first interactions to invoke AI agents for various tasks. Each of these attempts represents a different hypothesis on how humans will best interface with an increasingly intelligent digital world, often emphasizing passive data capture or voice command.

A Founder’s Journey and Vision

At the helm of Aina is Apoorv Shankar, a seasoned hardware innovator whose career trajectory has consistently centered on creating more intuitive human-device interfaces. Shankar’s journey began with LazyCo, a hardware interface design startup that gained recognition for developing innovative gadgets, including a smart ring capable of controlling other devices like smartphones. This early venture into gesture-based control and device interoperability laid foundational insights into user interaction.

LazyCo’s innovations caught the attention of Ultrahuman, a prominent smart ring manufacturer focused on health and fitness tracking. Ultrahuman subsequently acquired LazyCo, bringing Shankar into its leadership team as Vice President of Hardware. During his tenure, Shankar deepened his understanding of integrating complex technology into compact, user-friendly form factors, particularly within the wearable sector.

However, Shankar’s inherent curiosity about the evolving landscape of AI interfaces ultimately led him to depart from Ultrahuman. He observed the emergence of devices like the Rabbit R1 and the Humane AI Pin with keen interest, yet also with a degree of disappointment regarding their execution and perceived limitations. "I was just super curious about the space of AI interfaces," Shankar shared in an interview, reflecting on his decision. "Devices like Rabbit and Humane Pin had launched, and I had my own disappointments with them. However, I was just excited that we are seeing interfaces being a thing now. And as an engineer turned product designer, this was the hottest thing I could imagine myself building." This sentiment highlights a critical distinction Aina seeks to make: moving beyond passive recording to active, empowering control.

Aina’s Initial Offerings: From Macro Keypads to Agentic Control

Aina’s initial product development phase saw the creation of three distinct devices, each exploring a different facet of AI interaction and control. These prototypes served as crucial testing grounds for understanding user needs and preferences in an uncharted territory of human-AI collaboration.

The first device, Dune, is a three-key, context-aware "macro" keyboard. Essentially a compact keypad, Dune is designed to execute pre-set shortcuts and scripts, dynamically adapting its functions based on the application currently in use. For instance, it can control microphone and camera settings during video conferences or trigger specific actions within a productivity suite. Its utility lies in streamlining repetitive digital tasks and providing immediate, tactile control over common software functions.

Next was Radiance, envisioned as a tabletop remote specifically for video calls. This device featured a dial for volume adjustment and dedicated buttons for managing the microphone, camera, an AI notetaker, voice modulation, and effortlessly joining meetings. Radiance aimed to centralize control over the burgeoning complexities of remote communication.

Finally, Shift represented Aina’s most direct foray into "agentic" control. This single-tap button was designed to connect to a user’s smartphone and, upon activation, trigger an AI agent to perform a pre-programmed, repeated task. The concept was to provide an immediate physical trigger for complex, multi-step AI operations, moving beyond simple commands to initiating entire workflows.

Through extensive early user testing, Aina discovered that Dune resonated most strongly with potential users. The straightforward utility of a context-aware macro keypad, offering tangible control over digital environments, proved highly appealing. This feedback prompted Aina to prioritize Dune for its initial market release, recognizing the value in learning directly from users how they wish to automate tasks in their daily routines. The company plans to integrate valuable insights and features from Radiance and Shift into Dune’s evolving capabilities, creating a more comprehensive control experience.

The Paradigm Shift: Action-Oriented AI

Aina’s strategic focus represents a significant departure from many of its contemporaries in the AI interface space. While many devices emphasize "context capture"—constantly listening, watching, or logging user interactions to provide retrospective insights or reactive assistance—Aina is firmly committed to "action-oriented" devices. This philosophy centers on empowering users to proactively control and trigger AI agents to execute specific tasks and workflows, rather than passively observing and recording.

Shankar articulated this distinction, stating, "I think you have enough context, you have in your phone and your laptop all the time, and we haven’t even started using that well. We are building an action-oriented device that will use the context to help you control and trigger workflows." This perspective suggests that the current generation of smartphones and laptops already possess a wealth of contextual information that remains underutilized. Aina’s devices aim to serve as a bridge, enabling users to leverage this existing context to command AI agents effectively, transforming passive data into active utility.

This emphasis on "agentic" control aligns with a broader industry trend where AI is increasingly viewed as a tool for automation and augmentation. Instead of merely transcribing a meeting, an "agentic" device might allow a user to press a button and have an AI agent summarize key decisions, assign action items, and schedule follow-up meetings, all based on the meeting’s context and the user’s preferences. This shift from "what happened?" to "what can AI do for me now?" promises a more dynamic and productive human-AI partnership.

Market Dynamics and Future Prospects

The broader market for AI control devices is experiencing rapid growth, driven by the increasing adoption of AI coding tools and sophisticated AI agents across various professional domains. Developers and knowledge workers are actively seeking more efficient ways to interact with AI-powered assistants, leading to a surge in specialized hardware. OpenAI, for instance, recently collaborated with Work Louder to release a custom keypad designed specifically for its Codex AI coding assistant. This illustrates a clear demand for physical interfaces that can accelerate and simplify interaction with complex AI functionalities.

Beyond custom keypads, a vibrant community of DIY enthusiasts and specialized manufacturers are creating a diverse range of macro controllers. These devices, whether off-the-shelf or custom-built, demonstrate a clear user need to streamline digital interactions and reduce reliance on traditional input methods for repetitive or complex AI commands.

Looking ahead, the landscape of AI control is expected to diversify even further. Rumors persist about OpenAI developing a smart speaker equipped with an integrated AI assistant, indicating a potential foray into ambient AI interaction. The Rabbit R1, with its focus on invoking AI agents for various tasks, represents another significant bet in this evolving space. Even major chipmakers like Qualcomm are actively experimenting with over 40 different device prototypes designed for AI interaction, underscoring the industry-wide conviction that new form factors are essential for the next wave of computing.

The ultimate form factor for controlling AI agents remains an open question. Rings, pins, glasses, keypads, and smart speakers each present unique advantages and limitations in terms of ergonomics, battery life, input/output capabilities, and social acceptability. The current environment is characterized by intense experimentation and significant venture capital investment, as companies race to discover the most effective and widely adopted solution. Aina, with its focus on action-oriented, proactive control, is strategically positioning itself to address a critical need in this burgeoning market. The company’s decision to ship Dune first and learn from real-world usage reflects a pragmatic approach to navigating this highly competitive and rapidly evolving technological frontier.

The Road Ahead for Human-AI Interaction

Aina’s future product roadmap, while still under wraps, is expected to build upon the lessons learned from Dune, Radiance, and Shift. Shankar has hinted that the next generation of devices will continue to prioritize action over passive capture, aiming to provide even more sophisticated ways for users to control and trigger AI agents. The company plans to initiate testing with a select group of users in the coming weeks, gathering crucial feedback to refine its offerings.

The success of Aina and other players in this space will hinge on several factors: developing intuitive and reliable interfaces, identifying compelling use cases that significantly enhance productivity or daily life, ensuring robust privacy and security measures, and achieving a balance between advanced functionality and user-friendliness. As AI agents become more deeply integrated into professional and personal workflows, the devices that empower users to control them effectively will likely dictate the future of human-AI interaction. Aina’s recent funding and its clear strategic direction suggest it is well-positioned to be a significant contender in this transformative journey.