
United Kingdom · Semiconductors startup
Gaussion is a London-based technology company that specializes in MagLiBTM, an innovative magnetic lithium-ion battery charging technology.
Follow Gaussion and see its new rounds in your feed.Sign up free
Funding reportedLast round: Series A
Gaussion is a London-based technology company that specializes in MagLiBTM, an innovative magnetic lithium-ion battery charging technology.
This solution is designed to enable rapid, battery-safe, and affordable fast-charging for electric vehicle (EV) batteries. Gaussion's technology can potentially deliver a week's charge, equivalent to 200 miles for the average EV driver, in under 10 minutes, while maintaining battery lifespan and warranty after over 1,000 charging cycles. Founded by Dr. Thomas Heenan and Dr. Chun Tan, Gaussion operates from a modern R&D facility in London and is supported by investors BGF and the UCL Technology Fund. The company is committed to fostering an inclusive workforce, emphasizing diversity across various backgrounds. MagLiBTM is compatible with existing battery chemistries and future technologies, making it a cost-effective solution for the global market.
Funding, as reported
Gaussion filed 2 raises, $15M in all. Filings say how much was sold and to how many investors; they never name the investors.
What they build
Known for
hardwareclean energy & technologyconsumersrapid chargingmanufacturingelectric vehicle technologyelectric transport low range anxietyenergy storagemass market batteriesbattery longevitybattery performance enhancementnmclfpbattery market readinessenvironmental servicesev batteries
Built with from their website
Google CloudViewport MetaApple Business ManagerGoogle Cloud HostingCAPTCHAMicrosoft ExchangeMicrosoft Azure HostingMicrosoft 365 Apps & ServicesMobile FriendlyOpen Graph
jQueryAnthropic ClaudeSquarespaceGoDaddy DomainsAmazon AWSPythonMicrosoft Exchange OnlineAzure Static Web Apps
Add your raise, your deck and your story, and put Gaussion in front of investors. Or tell us what we have wrong.