Plumerai, a London-based developer, secured an $8.7 million Series A funding round. Partech and OTB Ventures led the investment. This round brings Plumerai's total funding to over $17 million.
Plumerai develops Tiny AI solutions for cameras. These solutions include People, Vehicle, Animal & Package Detection, alongside Familiar Face & Stranger Identification. The technology runs on battery-powered cameras using inexpensive, off-the-shelf chips. It offers faster, cheaper, and privacy-first AI.
Scaling Tiny AI for Broader Applications
Initially focused on home security, Plumerai is expanding into Enterprise Security and Retail. The company also introduced Vision LLM-powered features. These include AI Video Search and AI Captions, enabling rich notifications and detailed video history analysis.
Plumerai's Tiny AI, combined with its cloud-based Vision LLM, delivers high accuracy with low cloud inference costs. Benchmarks show its AI Video Search is more accurate than cloud-only solutions like Amazon Nova and Google Gemini. Cloud costs are up to 135x lower. This approach leverages recent advances in artificial intelligence and machine learning.
The new capital from the Plumerai Series A round will scale its Tiny AI for cameras. This funding supports the company's ambition to enable trillions of intelligent edge computing devices. Plumerai aims to accelerate its new Vision LLM features.
Plumerai's technology allows companies to integrate powerful AI features into devices quickly. This reduces development costs and speeds time to market. The company's rapid growth stems from activating its AI on existing devices. This occurs via over-the-air software updates.
