The funding round was led by AlbionVC with participation from Lightbird Ventures, Anamcara Capital and Triple Point Ventures.
"Companies are continuing to tighten their belts because of the economic climate and that means sales teams need to change how they fundamentally approach selling. We’re helping companies collaborate and centralise their buyer journey, increasing their sales efficiency and velocity. Our proprietary revenue intelligence signals are also helping revenue leaders forecast and understand their deal pipeline like never before. The new trend of buyer enablement is happening and we’re at the forefront of it. We’re delighted to be working with Paul and the team at Albion to support us as we expand to the US and integrate AI into the platform so we can continue to serve buyers and sellers."
Union Square Ventures led the round, with participation from Ribbit Capital and Slow Ventures.
"We believe that money should work the same way everything else on the internet works – that it should be easy to use, it should be fast, and it should be global,"
Hall & Woodhouse backs Dorset start-up Holidaymaker to accelerate hospitality technology growth.
"We feel strongly about backing Dorset-based winners and enabling entrepreneurs to unlock their full potential. Holidaymaker was an obvious investment for us as a business due to its work in the hospitality sector."
The funding will support the creation of a multi-modular credit risk scoring platform for European enterprises.
"The role of AI in our industry is becoming increasingly important. It aids in collecting, processing, analysing, and leveraging data in various ways, including fraud and error detection, automation, and data visualisation,"
The Series B round was led by Next47 with participation from Y Combinator, CRV, and Crane Venture Partners.
"In 10 years, every company will have an AI department in the same way that they have an IT department today or risk losing relevance, and Encord will be the only platform they need to accomplish the process of turning data into functional AI models,"