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,"
The seed round was co-led by Pace Ventures and Nine Realms to support product enhancement and team expansion.
"Decarbonising supply chains is not a new challenge, but one of the largest hurdles for businesses has been accessing and analysing comprehensive data, as a direct result of supply chain complexities and the nature in which this data has been collected up until now. We saw that by using our unique approach to collect, normalise and blend supply chain data, we could improve its interoperability and use it to provide actionable insights on transportation emissions down to the level of individual trips and packages."
The Birmingham-based risk management company raised the capital to advance its AI platform and expand its team.
"I am pleased to see a unique West Midlands-based business that is focused on an industry of the future secure this investment. This is the sort of venture the West Midlands Co-Investment Fund was set up for. Large retailers are under pressure to improve their corporate social responsibility. Bendi has created a useful tool to detect malpractices and help companies deliver sustainable practices, improve community cohesion, and minimise carbon footprints."
— Richard Parker, Mayor of the West Midlands, and chair of the WMCA
The funding round was led by Uphonest with participation from Lakestar and Focal.
"Our breakthrough in codifying human reasoning is allowing us to train AI models to operate far beyond the narrow range of tasks and tightly restricted prompts currently available to teams developing software."