KYNOTA

Kynota

Pharmaceuticals, 245 Main Street, Cambridge, , 2142, Massachusetts, United States, 11-50 Employees

kynota.com

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phone no Phone Number: +16*********

Who is KYNOTA

KYNOTA is an open, subscription-based, bioprocess data integration solution that reduces inefficiencies and optimizes processes allowing you to advance your biologics program and increase...

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  • 245 Main Street, Cambridge, Massachusetts, 2142, United States Headquarters: 245 Main Street, Cambridge, Massachusetts, 2142, United States
  • 2020 Date Founded: 2020
  • 11-50 Employees: 11-50
  • dollar-icon Revenue: $250 Million to $500 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Pharmaceuticals

SIC SIC Code: 3613 | NAICS Code: 443142 | Show More

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KYNOTA Org Chart and Mapping

Employees

Matthew Stollmer

Senior Systems Engineer - Site Lead

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Frequently Asked Questions Regarding KYNOTA

Answer: KYNOTA's headquarters are located at 245 Main Street, Cambridge, , 2142, Massachusetts, United States

Answer: KYNOTA's phone number is +16*********

Answer: KYNOTA's official website is https://kynota.com

Answer: KYNOTA's revenue is $250 Million to $500 Million

Answer: KYNOTA's SIC: 3613

Answer: KYNOTA's NAICS: 443142

Answer: KYNOTA has 11-50 employees

Answer: KYNOTA is in Pharmaceuticals

Answer: KYNOTA contact info: Phone number: +16********* Website: https://kynota.com

Answer: KYNOTA is an open, subscription-based, bioprocess data integration solution that reduces inefficiencies and optimizes processes allowing you to advance your biologics program and increase speed to market. With KYNOTA, you can integrate all devices regardless of manufacturer, automate data collection/cleaning/display, optimize workflows, gain control in real time, share results & processes site to site, and open investigations and reports with a few clicks. The model guarantees forward compatibility, flexibility, and configurability of technologies and supports all process transfer requirements within the enterprise as needs change and scale over time. This will allow scientists to spend more time focusing on science, improving productivity and throughput.

Answer:

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