Hark Pro launches as a privacy-first AI assistant, hardware planned for 2027

Hark Pro, the consumer AI assistant built by a startup founded less than a year ago by serial entrepreneur Brett Adcock, is now in wide release with a free tier and a paid subscription for heavy users.

Hark joins Muse, Instinct, and Dots in a crowded chase for the daily-driver AI assistant. Tech firms are hunting for the user experience that will turn these products into must-haves.

The company trained its own model specifically for computer use rather than fine-tuning a general-purpose large language model. The narrow focus trades reasoning depth for speed and cost on browser-based tasks. That bet sits at the center of Hark's product and its pitch.

What's Hark Pro actually do?

Hark Pro opens to a full-screen interface. A central chat dialog anchors the layout. Below it, the app surfaces a feed of suggested actions and "panels" — mini-dashboards Hark built for recurring queries. The background image updates to match local weather and time.

Users grant the assistant access to email, calendar, files, and payment cards. From there, Hark executes digital tasks on the user's behalf and handles ordinary chatbot questions.

Abidhur Chowdhury, Hark's design lead and a former Apple employee, walked a reporter through a demo. The product surfaced four items unprompted:

• Expenses waiting on Chowdhury's approval
• Emails needing replies
• An upcoming meeting with the journalist
• A flight the assistant offered to book

("I know the flight thing is put to death," Chowdhury said, grinning.)

What makes it different from other AI assistants?

Hark's pitch starts with the model and with surface-level transparency. The assistant exposes its own web navigation inside a small on-screen window. Most rivals run the same steps invisibly. Chowdhury framed the visibility as a trust signal — users can verify what the agent does without leaving the app.

"It might not be faster than Muse," Chowdhury said, "but it will give you a better result, and it will work end-to-end instead of asking you to take over at a point."

The trade-off matters. Specialized computer-use models train on narrower datasets optimized for browser actions and form-filling. Frontier LLMs from OpenAI, Anthropic, and Google reason more broadly but cost more per task and struggle with long-horizon browser sessions.

Chowdhury pointed to a recent session as proof: Hark recognized that a colleague's car registration was due at the California DMV and completed the transaction through the agency's website. The product is meant to substitute for the user, not augment them.

Why does privacy matter so much here?

Chowdhury drew a sharp line between Hark and the incumbents. "We're not here to like sell you ads and steal your data," he said.

The framing matters. Useful assistants need broad access to email, calendars, payment cards, and contact lists. That data feeds a detailed profile of the user's friends, family, and spending habits. Companies such as Meta already run advertising businesses layered on top of AI products — a combination that forces a question Hark wants to put in front of users: will households accept Meta-owned agents profiling their inner circles?

Pressed on profiling, Chowdhury narrowed the scope: "We are doing work to understand you, and be helpful for what you need, but it's really like task related — it's really about how Hark can help take something off your plate and be useful."

Hark has not published a data-retention policy or a training-data opt-out. The interview did not specify whether derived signals move to third parties. Cybersecurity risk compounds the privacy angle: any agent with broad system access becomes a high-value target for attackers.

What's the hardware plan?

Hark frames itself as a user-interface company, not an AGI lab. The next move is a device.

The company plans to ship an AI-native device in 2027. Chowdhury declined to describe the form factor. He acknowledged the "creep factor" of wearable cameras and said the first product would be something that has "never ever existed before."

He framed the project around the limits of today's interfaces: "It's so hilarious to me that you have AI now, you have a chatbot, and you type stuff in with a keyboard. Fifty years later and the future of computing is still a terminal."

A successful device could lock users into Hark's software the way iPhone locked users into iOS. A miss — a headphones-and-camera retread — would leave Hark as one more app in a folder users forget to open.

Who is Brett Adcock?

Adcock co-founded Figure, the humanoid-robotics firm. His track record gives Hark a profile beyond its age. It also raises expectations. Serial founders in adjacent categories often move faster than pure software competitors on capital and attention.

What does this mean for the personal-assistant market?

The category thickened in a short window. Muse, Instinct, Dots, and now Hark all target the same end-user slot. Each product bets on a different interface choice — voice, calendar, retrieval, browser automation — becoming the default.

Hark's strategy is differentiation through transparency, end-to-end task completion, and privacy positioning. Chowdhury said he wants users to compare head-to-head: "Please compare it to the others, be critical."

The larger question lingering beneath the launch: which model architecture wins this market? Specialized assistants will survive as long as they remain cheaper or more reliable per task. The moment a frontier lab matches them on either axis, the software-only layer becomes contestable.

Hark's 2027 hardware bet is the bigger swing. If that device is genuinely novel, Hark graduates from app to platform. If it ships another screen-and-microphone combo, the company becomes a feature, not a destination.