Mimica, the process intelligence company, today announced a £20 million Series B funding round led by Paladin Capital Group, with continued backing from Khosla Ventures, LGVP, and Entrepreneurs First.
The investment will accelerate Mimica’s mission to be the bridge between how work is done in enterprises today and how it can be done with agentic AI, giving organisations the process knowledge they need to train and operate AI agents reliably, compliantly and at scale.
There’s a growing gap between what enterprise AI tools promise and what companies are currently able to achieve, with 95% of generative AI pilots failing, and more than 40% of agentic AI projects forecast to be abandoned by 2027.
While AI agents promise to streamline operations, speed decision-making, and free employees from repetitive work, most deployments fail because they don’t know how work gets carried out in practice. Even simple processes like employee onboarding are done differently at every company – vital context that generic AI agent providers can’t see, with the smallest differences capable of derailing automation.
Mimica solves this by enabling organisations to capture and learn the unique processes, rules, and exceptions that sit behind these everyday repetitive tasks and workflows.
Its platform bridges the agentic AI competency gap by capturing how work is really performed and turning that data into process maps that serve as the playbook for training effective, context-aware and compliant AI agents. Unlike traditional methods of process capture and automation, Mimica’s approach takes weeks, not months, and without the need for manual effort from internal analysts or consultants.
In doing so, Mimica reclaims time in the enterprise by eliminating the drudgery from employees’ daily work using agentic AI and process intelligence.
In the last 18 months, Mimica has grown ARR by more than 570% and now serves over 30 large enterprises, including multiple Fortune 500s, in sectors from healthcare and logistics to financial services and manufacturing.
