The Series A round was led by Atomico with participation from Index Ventures, Norrsken VC and Daphni.
"Invention is how we solve humanity’s biggest challenges, yet the systems that protect those ideas are decades out of date. AI will redefine how global organisations innovate over the next five years, turning IP from a cost centre into a growth driver. The companies that adopt Ankar now will shape the future of innovation."
The investment was led by BGF to accelerate product development and international growth.
"Our mission is simple: give mid-market organisations an integrated platform that works the way their business works – without the complexity, hidden costs or bolt-ons that often come through alternative providers. BGF’s backing helps us move faster, while staying true to the customer-first philosophy that sets us apart."
The seed round was led by Eka Ventures to support technology development and platform expansion.
"If you’ve ever bought a house in the UK, you’ll know exactly how painful the conveyancing process can be. Something that should take a matter of days can drag on for months, leaving you unsure when – or even if – you’ll get the keys to your new home. These delays are completely avoidable. We built Conveyd to remove unnecessary back-and-forth, so home buyers get complete purchases in weeks rather than months – in a way that doesn’t make them want to tear their own hair out."
The seed round was led by Lakestar to accelerate development and international deployment.
"Everything around us is manufactured, from the mug on your desk to the optical cables carrying our Netflix binges. Everyone talks about the glamorous side of manufacturing: generative design, material discovery, digital twins, but few spend time on the factory floor. The hard part isn’t dreaming things up inside a computer; it’s making them work at scale. Manufacturing still runs on human know-how, the kind that lets someone on the line kick a machine just right, or run a finger over a scratch, and say, ‘that’s thirty-four microns wide.’ We’re using AI to capture and scale that tacit knowledge, so engineers can design things that actually work in the real world. It’s time to manufacture the impossible."