The battery that made Nyobolt a unicorn does not power a car. It powers a warehouse robot. The Cambridge-based startup announced on Tuesday that it has closed a 60 million dollar Series C round at a one billion dollar valuation, led by Symbotic, the Nasdaq-listed AI robotics company whose SymBot autonomous mobile robots already run on Nyobolt’s cells. The round brings total funding to approximately 160 million dollars and values a company that was founded in 2019 on research into niobium tungsten oxide anodes conducted at the University of Cambridge by Professor Dame Clare Grey. Nyobolt’s batteries charge from zero to 80 per cent in under five minutes, survive more than 20,000 charge cycles without degradation, and deliver 20 times the energy density of supercapacitors. The technology was originally developed for electric vehicles. The market that is paying for it is physical AI.

The chemistry

Conventional lithium-ion batteries use graphite anodes, which limit charging speed because lithium ions can only enter and exit the graphite structure at a rate that, if exceeded, causes lithium plating on the anode surface, a process that degrades the cell and can create safety risks. Nyobolt’s breakthrough is a niobium tungsten oxide anode whose crystal structure allows up to 100 times more lithium-ion mobility than graphite, enabling charging at rates that would destroy a conventional cell. The company combines the anode chemistry with proprietary cell design and integrated power electronics that manage the thermal and electrical dynamics of ultrafast charging. The result is a battery that can accept a full charge in seconds for small formats and under five minutes for larger cells, with a cycle life measured in tens of thousands of charges rather than the hundreds or low thousands typical of conventional lithium-ion.

The cycle life is the critical specification for the markets Nyobolt is targeting. The solid-state batteries that automakers are developing for next-generation electric vehicles promise higher energy density and faster charging, but they are designed for applications where the battery charges once or twice a day over a vehicle’s lifetime. Nyobolt’s cells are designed for applications that charge dozens or hundreds of times per day: warehouse robots that need to recharge between tasks without returning to a charging station for hours, data centre uninterruptible power supply systems that must absorb and release energy rapidly during grid fluctuations, and autonomous machines that operate continuously in industrial environments. The distinction between energy density and power density is the distinction between a battery that stores a lot of energy and a battery that can absorb and release energy quickly. Nyobolt has optimised for the second.

The customer

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Symbotic’s decision to lead the round is the clearest signal of where Nyobolt’s commercial value lies. Symbotic deploys fleets of autonomous mobile robots in large-scale distribution centres, most prominently across Walmart’s logistics network, where it has deployed systems in more than 42 distribution centres after acquiring Walmart’s Advanced Systems and Robotics division for 200 million dollars in January 2026. Walmart simultaneously invested 520 million dollars in Symbotic, giving the company a backlog exceeding five billion dollars. The SymBot robots previously ran on ultracapacitors, which charge quickly but store relatively little energy. Nyobolt’s battery gives the robots six times more energy capacity while maintaining the ultrafast charging that keeps them operational without extended downtime. For a warehouse where robot uptime directly translates to throughput and revenue, the battery is not a component. It is the constraint that determines how many robots are needed and how productive they can be.

Nyobolt’s revenue is growing five times year on year, reflecting what the company describes as an accelerating demand surge across physical AI applications and AI data centre infrastructure. Cambridge’s deep technology ecosystem has been producing unicorns at an accelerating rate, and Nyobolt is the latest to cross the billion-dollar threshold from a university spinout pipeline that has historically excelled at commercialising materials science and engineering research. The company was co-founded by Grey, one of the most cited battery researchers in the world, and Sai Shivareddy, who serves as CEO. IQ Capital, Latitude, Scania Invest, and CBMM participated alongside Symbotic in the Series C.

The market

Nyobolt’s expansion beyond warehouse robotics targets two additional markets that share the same requirement for high-power, high-cycle-life batteries. In AI data centres, the company is positioning its technology as an alternative to conventional lead-acid and lithium-ion UPS systems, which are designed for infrequent use during power outages rather than the frequent, rapid charge-discharge cycles that modern grid instability and renewable energy intermittency demand. The International Energy Agency projects that data centre energy consumption will double by the end of 2026, and the power management infrastructure inside those facilities is becoming as important as the compute hardware. Nyobolt has signed an agreement with the state of Rajasthan in India to provide more than 100 megawatts of off-grid AI data centre and power management systems, a deal that extends the company’s market from component supplier to infrastructure provider.

The search for energy solutions to AI’s power demands has drawn hundreds of startups into competition with established battery manufacturers, grid operators, and energy storage companies. Nyobolt’s advantage is specificity: rather than competing with CATL or BYD on the energy density metrics that matter for electric vehicles, it is competing on the power density and cycle life metrics that matter for machines that charge hundreds of times per day. The global physical AI robot market for logistics was valued at 6.8 billion dollars in 2025 and is projected to reach 38.4 billion dollars by 2034. The data centre energy storage market is growing at a comparable rate. Nyobolt is not trying to replace the lithium-ion battery in a Tesla. It is trying to become the battery inside every warehouse robot, every autonomous delivery vehicle, every data centre power system, and every industrial machine that needs to charge in seconds and last for years.

The bet

The European Union’s ambition to create 100 deep technology unicorns has been driven in part by the recognition that the continent’s research universities produce world-class science that too often fails to scale commercially. Nyobolt is a counterexample. A decade of research at Cambridge produced a novel anode chemistry. A startup commercialised it. A robotics company validated it in production. And a Series C round valued the result at a billion dollars. The trajectory is the one that deep technology investors describe as the ideal path from laboratory to market, in which the technology solves a problem that existing solutions cannot address and the first commercial customers are sophisticated enough to evaluate the product on its technical merits rather than its brand.

The risk is execution at scale. Nyobolt’s niobium tungsten oxide chemistry has been validated in production with Symbotic, but scaling battery manufacturing from hundreds or thousands of cells to millions is a process that has defeated companies with far more capital and experience. The supply chain for niobium is concentrated, with Brazil’s CBMM, which participated in the Series C, controlling the majority of global production. The competitive landscape includes both established battery manufacturers developing their own high-power cells and well-funded startups pursuing alternative chemistries. And the markets Nyobolt is targeting, while growing rapidly, are still small relative to the automotive battery market that drives most lithium-ion investment and manufacturing scale. A billion-dollar valuation on 160 million dollars of total funding implies that investors believe Nyobolt’s chemistry will become the standard for physical AI power systems. The Symbotic deployment is the first proof point. The Rajasthan deal is the second. The next three years will determine whether the chemistry that charges in seconds can scale as fast as the robots it powers.