Plumerai

Plumerai

Computer Software, 290 South Ave, London, California, United States, 11-50 Employees

plumerai.com

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phone no Phone Number: +19*********

Who is PLUMERAI

Plumerai is making deep learning tiny and radically more efficient to enable inference on small, cheap and low-power hardware. Our technology powers camera doorbells, security cameras, sm...

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  • 290 South California Ave, London, California, United States Headquarters: 290 South California Ave, London, California, United States
  • 2017 Date Founded: 2017
  • 11-50 Employees: 11-50
  • dollar-icon Revenue: $100 Million to $250 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Computer Software

SIC SIC Code: 7372 | NAICS Code: 513210 | Show More

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Frequently Asked Questions Regarding Plumerai

Answer: Plumerai's headquarters are located at 290 South Ave, London, California, United States

Answer: Plumerai's phone number is +19*********

Answer: Plumerai's official website is https://plumerai.com

Answer: Plumerai's revenue is $100 Million to $250 Million

Answer: Plumerai's SIC: 7372

Answer: Plumerai's NAICS: 513210

Answer: Plumerai has 11-50 employees

Answer: Plumerai is in Computer Software

Answer: Plumerai contact info: Phone number: +19********* Website: https://plumerai.com

Answer: Plumerai is making deep learning tiny and radically more efficient to enable inference on small, cheap and low-power hardware. Our technology powers camera doorbells, security cameras, smart buildings, and makes it possible to embed intelligent, battery-powered sensors everywhere. Our people detection AI consistently proves to be the most accurate for edge devices while consuming minimal resources. Our inference engine for Arm Cortex-M is the fastest and smallest in the world. Production-worthy embedded AI requires a relentless focus on the full AI stack, from collecting and curating data, to training algorithms, model architectures, inference engines, and hardware optimizations. We have published state-of-the-art research on Binarized Neural Networks at conferences such as NeurIPS and MLSys. Our team is backed by world-class investors with strong backgrounds in deep learning and with track records of founding multi-billion dollar companies. We have offices in London, Amsterdam and Warsaw.

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