Prominent solo investor Lachy Groom has backed a Bengaluru startup attempting an ambitious feat: keeping an aircraft in the sky for more than a year by harvesting energy from ocean winds.

Alteon, founded by 20-year-old Samay Sanghvi, announced Tuesday that it raised $2.5 million in a pre-seed round led by Groom, with participation from Together Fund, to develop autonomous aircraft inspired by dynamic soaring, a technique albatrosses use to extract energy from the wind. Groom decided he wanted to invest within the first 30 minutes of their first meeting, Sanghvi told TechCrunch.

Conventional aircraft need to carry the fuel or battery power required for a flight. Alteon is trying to break that limitation by designing its small, fixed-wing autonomous aircraft that can extract energy from wind shear above the ocean through dynamic soaring — a maneuver in which an aircraft repeatedly moves between layers of air traveling at different speeds.

“Once you build airplanes that can stay in the air for more than a year, there are millions of things you can do with them,” Sanghvi told TechCrunch. Alteon plans to initially use the aircraft for maritime surveillance, giving governments real-time visibility into activity in their waters.

The initial plan is to build an aircraft with around a three-meter-wingspan that will fly close to the ocean’s surface, climb, and turn through faster-moving air, and repeat the cycle to gain energy from the wind. Eventually, Alteon plans to use its propellers as turbines to convert some of that energy into electricity and recharge its onboard batteries, Sanghvi said.

However, the startup has not yet demonstrated that its aircraft can actually sustain flight using energy harvested through dynamic soaring. It did complete a recent of its test of its autonomous flight system over the Bay of Bengal in which the aircraft autonomously completed seven O-shaped cycles at more than 62 miles per hour, flying within one meter of the water’s surface.

Alteon’s next major milestone will be what Sanghvi calls “energy-neutral dynamic soaring.” This would allow the aircraft to fly continuously with its propulsion switched off, extracting enough energy from the wind to remain aloft.

Dr. Gabriel Bousquet, a Silicon Valley-based aerospace and robotics engineer who researched dynamic soaring during his PhD at MIT, called Alteon’s low-altitude flight over water a “promising first result.” But he noted that the harder challenge will be proving that the aircraft can reliably extract enough energy from real-world winds to sustain flight for extended periods.

Flying low enough to harvest that energy safely is particularly difficult, Bousquet told TechCrunch, as the aircraft would have to contend with turbulence, waves, spray, rain, and changing light conditions while continuously sensing and reacting to a moving ocean surface.

Dr. Bharath Swaminathan, who earned his PhD from IIT Madras studying the stability of dynamic soaring, said the underlying physics is well established and called Alteon’s effort commendable. Keeping an aircraft airborne for several days using dynamic soaring would itself be “a very big step, and a big achievement,” he told TechCrunch.

Swaminathan, however, added that while large-scale wind conditions may be predictable, local wind shear and turbulence can vary substantially, complicating an aircraft’s ability to continuously extract energy from the wind. Some of those challenges, he suggested, may only emerge through real-world flight testing.

Groom acknowledged the technical risk behind the bet. “Ambitious problems are always going to come with risks,” he told TechCrunch. “For me, it came down to believing Samay and the Alteon team are the ones to figure them out.”

Sanghvi began working on what would become Alteon straight out of high school in 2023, learning to build aircraft by making — and crashing — radio-controlled models before developing early prototypes. He formally founded Alteon in 2025 and received early backing from Emergent Ventures and 1517.

Alteon now has a team of 20 in Bengaluru and operates from a 10,000-square-foot facility. The startup is building four to five aircraft a week for testing and has conducted more than 200 test flights in the past 30 days, Sanghvi said.

In its lawsuit against OpenAI, Apple filed what it calls “shocking evidence” to bolster its allegations that former employees stole trade secrets for OpenAI’s benefit. These new details emerged after the legal counsel for former Apple employee Chang Liu — who now works at OpenAI — handed over Liu’s old Apple work laptop for investigation earlier this month.

Apple now alleges that Liu used a confidential Apple circuit schematic in his work at OpenAI, as well as a tool that shares a name with an internal Apple engineering application. The company claims that OpenAI was “well-aware” of Liu’s access to Apple data, and that Liu enlisted OpenAI colleague Yu-Ting Peng to help destroy evidence in June when he learned that Apple was investigating him.

“The MacBook represents the very limited information Defendants provided so far (and only after weeks of delay), and shows Apple is not conducting ‘fishing expeditions’ but that its trade secrets are being used and evidence is being destroyed,” the filing reads.

While this new evidence is redacted from public view, past filings from Apple have included text messages from Liu — which he punctuated with “crying laughing” emojis — showing he was aware that he still had access to Apple files.

OpenAI has previously defended Liu by saying that he only accessed Apple files after he stopped working there in order to help former colleagues who asked for his assistance. “Apple now tries to shift the blame to ‘residual access,’ but they also don’t disclose that this is a common issue with Apple which is caused by them failing to properly manage system access when people leave,” OpenAI wrote in a blog post earlier this month.

But Apple claims that Liu had continued access because he “exploited a rare, previously unknown authentication bug.”

TechCrunch has requested comment from OpenAI on Apple’s newest allegations.

Apple is seeking a preliminary injunction — a court order that would block OpenAI from working on hardware based on Apple’s technology while the case is ongoing — as well as expedited discovery, a fast-tracked process for gathering evidence, since the company alleges that more former employees may also be implicated.

According to Apple’s initial filing, more than 400 former Apple employees now work at OpenAI.

The popular prediction market Polymarket has raised $300 million from 1789 Capital as part of a new funding round totaling around $1 billion, the Wall Street Journal reported, citing unnamed sources.

1789 Capital, an investment fund in which Donald Trump Jr. is a partner, previously invested $200 million in the prediction site. The firm has funded other controversial tech-related projects, including the Enhanced Games, the so-called “steroid Olympics” founded by veterans of various tech companies.

TechCrunch has reached out to Polymarket for comment.

Prediction markets have come under increased regulatory scrutiny, as many state governments seek to institute new rules around how (or even if) the sites can be used by residents. There are at least 20 states engaged in litigation against prediction sites over sports wagers offered on those sites.

The federal government, meanwhile, has frequently sought to defend the prediction industry from state regulation. The Trump administration has argued that the sole regulator of the industry should be the Commodity Futures Trading Commission, not state governments. The CFTC has sued at least nine states over their attempts to regulate the industry.

A coalition of 44 state attorneys general recently signed a letter arguing that the CFTC does not have the authority to regulate sports-related wagers on prediction sites.

The New York Times has reported that Donald Trump Jr. recently appeared at an event involving conservative state attorney generals, where he described the prediction industry as already having “robust oversight” and characterized prediction sites as a tool “overseen by federal officials, not state attorneys general.”