Tech
Meet the former Apple designer building a new AI interface at Hark
A secretive AI lab founded by serial entrepreneur Brett Adcock shared new details about what it believes is a novel marriage of model-building and hardware design that will change how humans interact with intelligent software.
The company said in a statement it would design multi-modal end-to-end models, their hardware, and their interfaces in tandem to deliver a “seamless end-to-end personal intelligence product.” The system will have a persistent memory of your life and can listen, see, and interact with the world in real time.
How that will be executed remains unclear outside the company, but Hark’s ambition is representative of Silicon Valley’s ongoing hunt for the killer app that will make AI a desired consumer product, not features kludged dubiously into existing digital platforms.
“My view is simple: today’s AI models aren’t nearly intelligent enough, they feel quite dumb, and the devices we use to access them are fundamentally pre-AI,” Adcock wrote in a January internal memo shared with TechCrunch. “We’re moving toward a world that looks more like sci-fi characters Jarvis or Her, with systems that anticipate, adapt, and genuinely care about the people using them.”
Details are intentionally sparse, but Hark points to Director of Design Abidur Chowdhury as a key hire. Previously an industrial designer at Apple credited with leading the design team behind the iPhone Air and other recent models, London-born Chowdhury left last fall after meeting with Adcock and buying into his vision for updating the way humans automate their lives.
In an exclusive interview with TechCrunch, Chowdhury declined repeated invitations to spill the beans on Hark’s roadmap, only saying that the public can anticipate a first release of the company’s AI models this summer. Asked about different approaches to working and living alongside AI, the designer did offer a few clues.
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“What was very clear for me at the time is that the world is clearly changing, but we’re using the same devices…everything’s been designed around these existing platforms,” Chowdhury told. “Very few people are really going after what the future is. There’s so much that we could be doing if intelligence was at the base layer of everything we touched instead of becoming an app or a website at that upper layer.”
Chowdhury points to the awkwardness of everyday tasks of filling out forms, sharing information between devices, or the mundane tasks of booking travel or planning home renovation.
“Those are entire evenings of time where I have to plan…the anxiety of, you know, I spend my work day thinking about this in the back of my head, oh, I have to do this,” Chowdhury said. “We genuinely believe that all of the small tasks that pile up to be kind of gargantuan things today can be sort of automated from our lives.”
Chowdhury says the company knows what it is building, but can’t yet say how users will experience it. His comments suggest that wearables, like Meta’s Glasses, seem unlikely.
“I’m not the biggest believer in a lot of the wearable AI platforms that people are talking about right now,” Chowdhury said. “I don’t think it’s appropriate to put a layer between humanity and the interfaces we use in the world. I have similar discomfort with pins, or that kind of stuff that is going around with cameras.”
When generative AI first arrived on the scene, Chowdhury at first saw it as a flash in the pan, but successive generations of models convinced him that it would change his work. Hark, the word, means to pay attention, which Chowdhury says offers a thoughtful framing for the company’s mission.
“Traditional user experience always is about finding the simplest thing for everyone,” he told TechCrunch. “The future user experience will be finding the right thing for each individual. And I believe that can happen. But it requires a lot of work.”
The focus on elegance and simplicity for users echoes the high points of Apple’s product design, and naturally brings to mind Jony Ive, the legendary former Apple designer who is now developing AI native-hardware at OpenAI. A comparison that a Hark’s spokesperson declined to explore.
Another parallel that comes to mind is how Elon Musk’s xAI work on advanced models dovetails with Tesla’s work on autonomous vehicles and humanoid robots.
There is similar corporate synergy between Adcock’s humanoid robotics company Figure and the new AI labs. Hark’s models are already being trained on Figure’s robots, although it is not clear to what end. A person familiar with the companies’ plans says there is no intention to combine them.
Hark employs 45 engineers and designers, including former Meta AI researchers and designers from Apple and Tesla, all of whom are working on the same campus that hosts Adcock’s other companies. Hark expects to begin using a new cluster of thousands of NVIDIA GPUs in April.
Now Hark, backed by $100 million in personal seed money from Adcock, will join the scramble for talent as the world’s biggest companies try to figure out the format that brings deep learning models into daily life — and at a time when frustration with the existing models for digital life is hitting a fever pitch.
“It just feels like there’s an opportunity for better, and I’ve not felt like that since the iPhone came up,” Chowdhury said.
Tech
Glean’s top line crosses $300M as AI budget cutting becomes its major selling point
Glean, a company often described as the Google for enterprise, said it has reached $300 million in annual recurring revenue (ARR), a three-fold increase from the $100 million milestone it reached just 15 months ago.
While many AI startups are growing at a blistering pace, Glean’s progress is particularly remarkable. After years of essentially being the only player in the category, the seven-year-old startup is accelerating its growth as tech giants enter the enterprise AI search market with rival products.
“The first four or five years of our existence, we had no competition,” Glean CEO Arvind Jain told TechCrunch. “Given how important search is to make AI work in the enterprise, every single company in the world wants to be in this space.”
Tech heavyweights building Glean-like tools include Google, Microsoft, OpenAI, Anthropic, Salesforce, and Atlassian.
Jain maintains there’s value in being a first mover in the space, but that it’s also equally important to offer a better product.
What Glean does better than its competition, according to Jain, comes down to the deep understanding that its AI tools have of customers’ business needs. Glean’s AI achieves this knowledge — a concept captured by the new, popular term “context graph” — by connecting to and learning from enterprises’ internal software systems.
Jain claims that Glean’s context graph also helps enterprises cut AI computing costs.
“If you connect your AI to Glean, it gives you all the information that you need to do your work, and that results in AI consuming far fewer tokens compared to if you unleash AI onto your systems directly,” Jain said. That’s because with Glean, AI ends up performing fewer operations, he added.
At a time when many companies are blowing through their AI budgets, those token cost savings have become a major selling point for the company.
“One of the things you know our customers really like about Glean is the fact that we can reduce your AI bill significantly,” he said.
The company, which was last valued at $7.2 billion when it raised a $150 million Series F last June, offers various pricing structures to its customers, which include Databricks, Reddit, Pinterest, and Samsung.
According to Jain, Glean offers both a consumption-based model, where clients pay per use, and a hybrid model that combines a fixed monthly fee for active users with separate usage fees for model consumption.
Glean is definitely not the first company to do this, but it’s worth pointing out that the company’s $300 million milestone cannot be fully described as traditional ARR, because a consumption model by definition doesn’t have a strictly recurring component.
Pure consumption pricing models depend on fluctuating user activity rather than predictable subscription renewals, therefore a portion of Glean’s top line is more accurately described as an annualized revenue run rate.
Glean did not immediately respond to a request for comment; this post will be updated if the company replies.
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Tech
Final 24 hours to save up to $410 on your TechCrunch Disrupt 2026 ticket
This is it. The countdown is almost over. You now have until tonight at 11:59 p.m. PT to lock in Early Bird savings of up to $410 for TechCrunch Disrupt 2026 before prices increase.
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Register now and join 10,000+ founders, investors, operators, and innovators at Moscone West in San Francisco from October 13–15 for three days packed with networking, startup discovery, and conversations shaping the future of tech. Bring a plus-one at 50%, or bring a group to get an up to 30% discount.
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Today is the last day to apply to speak at TechCrunch Disrupt 2026
TechCrunch Disrupt 2026 returns October 13–15 to Moscone West in San Francisco — and applications to speak are open for just a few more hours.
We’re inviting founders, investors, operators, and technology experts to apply for a chance to take the stage at one of the most influential tech events of the year.
More than 10,000 startup and VC leaders will gather at Disrupt 2026 to explore what’s next in AI, scaling, fintech, infrastructure, robotics, and the future of innovation.
Applications close tonight at 11:59 p.m. PT. Apply now to share your expertise and help shape the conversations defining the tech industry.
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