EpiSci

Epi Sci

Computer Software, Danielson St, Poway, , 92064, California, 13025, United States, 51-200 Employees

episci.com

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Who is EPISCI

EpiSci is a multidisciplinary innovation company that designs next-generation artificially intelligent solutions for a secure, autonomous future. Through years of high-risk, high-payoff r...

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  • 13025 Danielson St, Poway, California, 92064, United States Headquarters: 13025 Danielson St, Poway, California, 92064, United States
  • 2012 Date Founded: 2012
  • 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: 3663

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

EpiSci Org Chart and Mapping

Employees

Namho Kim

Software Engineer Intern

Tal Bass

Senior Autonomy Engineer

Leo Ryu

Machine Learning Engineer

Anh Le

Senior Research Engineer

Jeffrey Millard

Senior Research Engineer (Tactical Autonomous Systems)

Tammy Palardy

Grants Coordinator, Technical Editor

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Frequently Asked Questions Regarding EpiSci

Answer: EpiSci's headquarters are located at Danielson St, Poway, , 92064, California, 13025, United States

Answer: EpiSci's official website is https://episci.com

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

Answer: EpiSci's SIC: 3663

Answer: EpiSci has 51-200 employees

Answer: EpiSci is in Computer Software

Answer: EpiSci contact info: Phone number: Website: https://episci.com

Answer: EpiSci is a multidisciplinary innovation company that designs next-generation artificially intelligent solutions for a secure, autonomous future. Through years of high-risk, high-payoff research and development efforts sponsored from DARPA and other agencies, EpiSci develops its Tactical Artificial Intelligence technology to deliver trusted, disruptive autonomous systems that are safe, resilient, and reliable. EpiSci's innovations include fully autonomous UAV swarms, AI-based signal detection and classification systems, resilient and intelligent tactical networks, and adaptive machine learning techniques.

Answer:

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