Phaidra

Phaidra

Computer Software, Seattle, Washington, United States, 51-200 Employees

phaidra.ai

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Who is PHAIDRA

Phaidra is an AI Co-Pilot deployed to help operations teams in mission critical facilities deliver step function improvements in stability, energy efficiency and sustainability. We create...

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  • Seattle, Washington, United States Headquarters: Seattle, Washington, United States
  • 2019 Date Founded: 2019
  • 51-200 Employees: 51-200
  • dollar-icon Revenue: $1 Million to $5 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Computer Software

SIC SIC Code: 73 | NAICS Code: 54 | Show More

checked-icon Does something look wrong? Fix it. | View contact records from PHAIDRA

Phaidra Org Chart and Mapping

Employees

Ben Tacka

Business Development Lead

Robert Locke

President and Chief Strategy Officer

Christopher Vause

Head of Product and Solutions

Jerry Luo

Senior Staff Software Engineer

Daniel Fuenffinger

AI Controls Solutions Engineer

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Frequently Asked Questions Regarding Phaidra

Answer: Phaidra's headquarters are located at Seattle, Washington, United States

Answer: Phaidra's official website is https://phaidra.ai

Answer: Phaidra's revenue is $1 Million to $5 Million

Answer: Phaidra's SIC: 73

Answer: Phaidra's NAICS: 54

Answer: Phaidra has 51-200 employees

Answer: Phaidra is in Computer Software

Answer: Phaidra contact info: Phone number: Website: https://phaidra.ai

Answer: Phaidra is an AI Co-Pilot deployed to help operations teams in mission critical facilities deliver step function improvements in stability, energy efficiency and sustainability. We create self-learning, intelligent control systems for industrial facilities. Our co-founders and leadership team represent the combination of deep artificial intelligence and machine learning expertise from companies like Google-Deepmind, with the applied knowledge of mission critical cooling and heating systems from organizations like Trane and Johnson Controls. The industrial sector today is filled with static infrastructure. Pharmaceutical production, data centers, district energy and other industrial facilities are frozen in time they operate in the same way they've operated for years because their control systems are hard-coded, and hard-coded systems cannot change dynamically, leading to performance degradation and a lack of resiliency. Our AI-powered control systems automatically learn, adapt, and get better over time. Our team has already delivered 40% energy savings at Google's data centers, and we're rapidly bringing AI technology to other types of industrial facilities.

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