Three years ago, biotech was the hottest ticket in venture capital. Startups with names like Grail, Tempus, and 23andMe raised billions to sequence the world's DNA. The promise was intoxicating: big data would unlock the secrets of cancer, aging, and every rare disease. Investors threw money at anything with a sequencer and a cloud platform.
The robot did not ask for a raise. It did not request vacation days. It did not complain about the coffee. It just worked. And then it wrote its own paycheck. That is the future that a new generation of AI startups is racing to build – a world where autonomous software agents negotiate contracts, close sales, manage supply chains, and even hire other agents. No humans required. No middlemen. Just code, executing at machine speed.
For a brief, feverish moment between 2021 and 2023, climate tech was the wild west of venture capital. Founders with PowerPoint decks about “revolutionary carbon removal” raised nine‑figure rounds. Investors threw money at anything with a leaf in its logo. The mantra was simple: save the planet first, ask about revenue later. Then the hangover hit.
For the past three years, one name has haunted every AI hardware startup pitch meeting. Nvidia. The green‑badged giant commands over 80% of the AI chip market. Its H100 and H200 GPUs are the currency of the artificial intelligence revolution. If you want to train a large language model, you write a check to Jensen Huang’s empire. There is no alternative.
Focuses on the shift from launch providers to “space services” – refueling, repair, debris removal, and even manufacturing. Profiles Astroscale (US/Japan, debris removal), Starfish Space (Seattle, orbital tug), and Orbit Fab (refueling ports). Data from Space Capital: in‑orbit service startups raised $1.8B in 2025, up 400% from 2023. Quotes from a NASA official about the “LEO economy.” Case study of a dead satellite rescued by Momentus and given a new 5‑year life. Also covers the lunar logistics race: Intuitive Machines and Astrobotic competing to deliver customer payloads to the Moon. Ends with the argument that the first trillion‑dollar space company won’t be a rocket builder – it will be a refueling station operator.
In a facility that smells faintly of metal and electrolytic fluid, on the industrial outskirts of Ghaziabad, a machine the size of a shipping container is quietly solving two of the most urgent problems of the electric‑vehicle revolution simultaneously. The machine is a hydrometallurgical extraction plant, and it is fed by a conveyor belt that carries a steady stream of dead lithium‑ion batteries—the discarded cells from electric two‑wheelers, three‑wheelers, and consumer electronics that would otherwise be destined for a landfill. The plant dissolves the batteries in a carefully controlled chemical bath, separates the materials, and extracts the lithium, cobalt, nickel, and manganese that the batteries contain—with a purity that, for lithium, exceeds 98 percent. The lithium that emerges from the Ghaziabad plant, in the form of a fine, white powder, is chemically identical to the lithium that was mined from a salt flat in Chile or a spodumene deposit in Australia. It can be sold directly to a battery manufacturer and used to build a new cell. The battery that died in a Delhi scooter last year will, within months, be powering a new scooter on the same streets.
In a modest office in Bengaluru's Koramangala district, a young radiologist sits at a workstation that would be unremarkable in any hospital in the world—a high‑resolution monitor, a keyboard, a mouse. What is remarkable is what is happening on the screen. The monitor is displaying a chest X‑ray, and the image is being analysed in real time by an artificial‑intelligence model that can detect 14 different pathologies—pneumonia, tuberculosis, lung cancer, rib fractures, pleural effusion, and nine others—with an accuracy that, in clinical trials, exceeded the performance of a panel of board‑certified radiologists. The AI takes approximately 3 seconds to read the image. It highlights the areas of concern, generates a draft report, and assigns a confidence score to each of its findings. The radiologist reviews the report, makes any necessary corrections, and signs off. The entire process, from the moment the X‑ray is captured to the moment the final report is delivered to the referring physician, takes less than 5 minutes. In a conventional hospital, the same process would take between 4 and 24 hours, depending on the workload of the radiology department.
Sometime in the spring of 2023, a small, unmanned underwater vehicle slipped beneath the surface of the Bay of Bengal, approximately 12 nautical miles off the coast of Chennai. It was a test, and the observers—a handful of engineers from a Chennai‑based startup called Sequent Robotics, a few officers from the Indian Navy’s Directorate of Indigenisation, and a representative from the Defence Research and Development Organisation—watched the telemetry on a ruggedised tablet as the vehicle descended to a depth of 300 metres, navigated a pre‑programmed course, identified a simulated mine using its onboard sonar, and returned to the surface. The test lasted approximately four hours. The vehicle performed flawlessly. The Navy officers, who had been sceptical of the startup’s claims, were impressed. The test was a proof of concept—a demonstration that an Indian startup, operating on a budget that was a rounding error by the standards of the global defence industry, could build an autonomous underwater vehicle that was capable of performing missions that the Navy had historically reserved for its most advanced manned submarines
This is not just a show. It is a case study in how to save a dying cinematic universe by doing the exact opposite of everything Hollywood has taught us about superhero content.
"Judges need not be treated as holy cows. Justice is not a cloistered virtue; she must be allowed to suffer the scrutiny of ordinary men." – Madras High Court