Mimica Automation is a technology company.
Mimica Automation has raised $32.0M across 2 funding rounds.
Mimica Automation has raised $32.0M in total across 2 funding rounds.
Mimica Automation has raised $32.0M in total across 2 funding rounds.
Mimica Automation's investors include Accel, Energy Impact Partners, First Round Capital, Frontline Ventures, Insight Partners, Khosla Ventures, LocalGlobe, MMC Ventures, Point Nine Capital, Seedcamp, Stride VC, Charlie Songhurst.
Mimica Automation is a London-based technology company specializing in AI-powered task mining and process intelligence software. It builds a platform that captures workflow data at the desktop level across enterprise systems, automatically generating as-is process maps, identifying inefficiencies, and prioritizing opportunities for automation via RPA, GenAI, and IDP.[2][3] The company serves Fortune 100 enterprises in sectors like pharmaceuticals, insurance, and shared services, solving the problem of hidden inefficiencies in business processes—translating thousands of hours of wasted time into millions in savings through streamlined, standardized, and automated workflows.[1][2] Mimica demonstrates strong growth momentum, with adoption by F100 firms for rapid process discovery (insights in as little as one week via free 14-day POCs) and endorsements from events like OPEX Week 2025, positioning it at the intersection of AI-driven efficiency and cost-cutting priorities.[1][2]
Mimica Automation Limited was incorporated on January 16, 2018, as a private limited company focused on business and domestic software development (SIC 62012), with its registered office at 20 St Thomas Street, London, SE1 9RS.[4] Tuhin Chakraborty serves as co-founder and CEO, bringing a strong foundation in machine learning and AI that has been core to the company since inception.[1] The idea emerged from recognizing the need for comprehensive workflow data analysis beyond traditional ERP systems, enabling organizations to uncover actionable insights for process optimization and automation; early traction built on this by delivering quick proofs-of-concept and roadmaps for implementation.[1][2]
Mimica stands out in the process intelligence space through these key strengths:
Mimica rides the surging wave of AI-driven process excellence, where tools like ChatGPT have popularized generative AI, but businesses demand practical ROI through workflow optimization.[1] Its timing is ideal amid 2025 trends like corporate layoffs and "do more with less" mandates, as efficiency becomes paramount—positioning Mimica to harness market forces of cost-cutting and advanced AI adoption.[1] By providing data-driven roadmaps that bridge exploration to deployment, it influences the ecosystem by accelerating automation in shared services, fostering smarter decisions at F100 scale and reshaping process mining from reactive to proactive intelligence.[1][3]
Mimica is primed for expansion as enterprises scale AI beyond hype, with next steps likely including deeper GenAI integrations and broader sector penetration (e.g., finance, insurance). Trends like agentic AI and hyper-efficiency will propel its growth, potentially evolving its influence toward full-stack process orchestration platforms. This positions Mimica as a linchpin in transforming workflow data into enterprise value, directly addressing the inefficiencies that plague even the largest organizations.[1][2]
Mimica Automation has raised $32.0M across 2 funding rounds. Most recently, it raised $26.0M Series B in September 2025.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Sep 1, 2025 | $26.0M Series B | Accel, Energy Impact Partners, First Round Capital, Frontline Ventures, Insight Partners, Khosla Ventures, LocalGlobe, MMC Ventures, Point Nine Capital, Seedcamp, Stride VC, Charlie Songhurst, Claire Hughes Johnson, Harsh Sinha | |
| Nov 1, 2021 | $6.0M Series A | Accel, First Round Capital, Frontline Ventures, Insight Partners, Khosla Ventures, LocalGlobe, MMC Ventures, Point Nine Capital, Seedcamp, Stride VC, Charlie Songhurst, Claire Hughes Johnson, Harsh Sinha |