What is TetraScience's contact information?

TetraScience's contact information: ivicaria@tetrascience.com, lhood@tetrascience.com, hello@tetrascience.com, +16172494182.

How many employees does TetraScience have?

TetraScience has 200 employees.

What industry does TetraScience belong to?

TetraScience is in the industry of: Information Technology & Services, Research, Pharmaceuticals.

What are TetraScience's official social media profiles?

TetraScience Linkedin Page TetraScience X Page TetraScience Twitter Page

What tech stack does TetraScience use?

Some of the popular technologies that TetraScience uses are: Google Optimize, Linkedin Ads, AdRoll, 33Across, Facebook Pixel, Google Analytics, Leadfeeder, Hotjar, Matomo Analytics, HubSpot Analytics, Linkedin Insight Tag, Zoominfo, Dreamdata.

What are TetraScience's office addresses?

TetraScience has 2 known office addresses: Boston, MA, US 294 Washington Street, Boston, Massachusetts, United States.

What is TetraScience's estimated annual revenue?

TetraScience's revenue is $11,400,000

What is TetraScience's open headcount?

TetraScience has 100 job postings.

What is the number of ad campaigns for TetraScience?

TetraScience has no advertisements yet.

What is the number of recent news articles about TetraScience?

TetraScience has one news article.

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TetraScience

United States · Information Technology & Services

Information Technology & Services

Research

Pharmaceuticals

TetraScience is the Scientific Data and AI Cloud company with a mission to accelerate scientific discovery and improve and extend human life. The Tetra Scientific Data and AI Cloud(TM) is the only open, cloud-native platform purpose-built for science that connects lab instruments, informatics software, and data apps across the biopharma value chain and delivers the foundation of harmonized, actionable scientific data necessary to transform raw data into accelerated and improved scientific outcomes. Through the Tetra Partner Network, market-leading vendors access the power of our cloud to help customers maximize the value of their data.