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News & insights

Expert analysis, bringing the latest R&D talent insights and market perspectives.

Defence, Deep-Tech, Hiring, Scale-Up

November 13, 2026

Stoke Space Bought Its Way to Launch. Cadence Has to Be Built.

Stoke Space has never flown a rocket, and the Pentagon is already helping it pay for a second place to launch one. It is a striking vote of confidence in a company with no flight record, and it is not the only one. In September Stoke Space raised $1 billion, taking its total to $2.3 billion, and said the money would bring Pathfinder to flight, speed up its larger successor and build the production capacity to fly both. Investors and the Pentagon are paying, ahead of the first launch, for what is meant to come after it: a factory, a flight rate, a business.

quantum, Deep-Tech

November 5, 2026

In Quantum, You Can’t Poach. You Can Only Buy.

In a market where specialists rarely change jobs, the surest way to hire a team is to buy the firm. Phasecraft shows what a buyer would find.

Deep-Tech, Drones, Hiring

October 22, 2026

Same Customer, Opposite Workforces in Drone Delivery

Zipline and Wing are rivals in US drone delivery. Zipline was founded in California in 2014, began by flying medical supplies in Rwanda, and now delivers food and retail orders in the United States. Wing is Alphabet’s drone-delivery business, and its partners include Walmart and DoorDash. Walmart uses both. In Dallas–Fort Worth the two fly for the same retailer and recruit from the same pool, including pilots and operators let go when DroneUp’s Walmart contract ended in January 2025. Everything about that arrangement suggests two similar companies. Zeki’s data on their workforces says otherwise. Walmart uses both Zipline and Wing for drone delivery. Their workforces show two different bets on who builds the aircraft, and a federal rule that has sat at the White House since July will test them in different ways.

Artificial Intelligence, Frontier AI, Hiring

October 15, 2026

Better researchers than OpenAI. Worse retention than anyone. A $40 billion bet either way.

Thinking Machines Lab is reportedly in talks to raise $5 to $6 billion at a $40 billion valuation, with Nvidia supplying roughly half. Zeki's data explains why investors are prepared to write that cheque — and where the risks sit. Frontier AI was supposed to be a closed shop. The compute required to train models at scale, the data, the research talent — all of it concentrated in a handful of companies with a decade's head start and near-infinite balance sheets. That logic held for long enough to make it a consensus. It is no longer holding. Thinking Machines Lab was founded in February 2025 by Mira Murati, former CTO of OpenAI. By July 2025 it had raised $2 billion — one of the largest seed rounds in history — at a $12 billion post-money valuation, led by Andreessen Horowitz and joined by Nvidia, GV and Lightspeed. In July 2026 it shipped Inkling, a 975-billion-parameter open-weight model trained across text, image, audio and video, available to any developer under Apache 2.0. Its annual revenue run rate is reported at over $100 million.

Deep-Tech, Hiring, quantum

October 5, 2026

The Hardest Hire in Deep Tech is the One that Proves You are Building a Company, Not a Lab

Planqc is a Munich-based quantum computing company, founded in 2022 as the first spin-out from the Max Planck Institute of Quantum Optics. The lab-to-product transition is the central risk in quantum hardware investing. It is also, until now, almost impossible to measure from the outside. Milestones are self-reported. Scientific papers say nothing about engineering execution. Founder credentials tell you what a team can prove in a laboratory, not whether they have started building the workforce to deliver to a customer. Hiring data tells you that. We have been tracking it across the neutral-atom quantum sector for several years. What we see in one company is a clear, quantified illustration of the risk Atomico named — and a template for how investors can read it in any deep-tech hardware company before a milestone is hit or missed.

Artificial Intelligence

September 30, 2026

Google Built the Research that Made AGI Plausible. Now the People Who Did the Work Have Left to Finish It.

Google DeepMind's decision to restrict research publications triggered an exodus. The people leaving are not going to other big labs. They are betting on AGI — and where they go, and who they hire next, tells investors everything about which approach they think will win. That elsewhere is London. In 2026, three separate AGI-focused labs have emerged from DeepMind's alumni network in quick succession. Ineffable Intelligence, founded by AlphaGo architect David Silver; Recursive Superintelligence, co-founded by former DeepMind researcher Tim Rocktäschel and former Salesforce chief scientist Richard Socher; and Emulate, founded in August by Jack Parker-Holder, Matthew McGill and Philip Ball — the team behind DeepMind's Genie world-model programme.
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