AI agents are the enterprise tech industry’s biggest promise and, increasingly, its biggest disappointment. While vendors promise a future of autonomous digital workers, a staggering 95% of generative AI pilots are failing. Now, Mimica, a process intelligence company, has raised a $26.2 million Series B to fix what it sees as the core problem: AI agents have no idea how you actually do your job.
The round was led by Paladin Capital Group, with continued participation from Khosla Ventures and others.
Mimica’s bet is that the bottleneck for agentic AI isn’t the models themselves, but their complete lack of real-world context. Every company has its own unique, often unwritten, rules for everything from onboarding an employee to processing an invoice. Generic AI agents, blind to this nuance, inevitably stumble and fail.
Mimica’s platform acts as a translator between human work and AI agents. It records employee workflows—the clicks, keystrokes, and decisions that make up a task—and automatically converts that data into detailed process maps. These maps then serve as a bespoke training manual for AI agents, teaching them the specific rules and exceptions of the business they’re supposed to be helping.
The context gap
Instead of spending months with consultants manually mapping workflows, Mimica claims its approach takes just weeks. The goal is to provide the operational intelligence needed to move AI from a sandboxed experiment to a core business function that can reliably handle repetitive tasks.
The strategy appears to be resonating. The company reports its annual recurring revenue has grown over 570% in the last 18 months, and it now serves over 30 large enterprises, including several Fortune 500 companies.
For investors, it’s a bet on the critical infrastructure layer for enterprise AI.
As companies continue to pour money into AI, the tools that make it trustworthy and effective could become just as valuable as the agents themselves.
