Mimica uses desktop observation and ML (Python, Transformers, RAG) to surface hidden process inefficiencies across enterprises, then recommends automation paths. The stack reveals a data-heavy, real-time operation: Postgres + MongoDB for state, Kubernetes + GCP/AWS/Azure for scale, plus observability depth (Grafana, Prometheus, Loki, Tempo). Notably, the hiring mix is sales-heavy (55 roles) relative to engineering (43), and projects center on repeatable enterprise motion and forecast accuracy—signaling a company transitioning from product-market fit toward predictable revenue scaling.
Notable leadership hires: VP of Sales, Head of Machine Learning
Mimica is an enterprise software company that uses AI-powered task mining to observe employee desktop activity, generate process maps, and identify automation opportunities. Founded in 2018 and based in London, the company serves mid-market and enterprise customers looking to cut operational costs and improve workforce productivity. The platform integrates RPA, intelligent document processing, and generative AI recommendations, and delivers insights within weeks rather than months. Mimica operates across 14+ countries (UK, US, EU, Brazil, Argentina) and is actively hiring across sales, engineering, and data roles.
Mimica's platform uses Python, Transformers, and RAG (Retrieval-Augmented Generation) to analyze desktop activity. Data flows through PostgreSQL and MongoDB, with real-time observability via Prometheus, Grafana, and Loki.
Current projects include a real-time backend service for graph data and model retraining, an enterprise sales motion repeatability system, forecast cadence and early-warning indicators, and a data-rich visualization dashboard for insights delivery.
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