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Market Research Report: TetraScience and Key Competitors



Introduction



This report provides an in-depth analysis of TetraScience, a leading provider in the scientific data and AI cloud sector, along with detailed profiling of its primary competitors. It aims to highlight TetraScience's position in the market and illuminate the competitive dynamics within the field.

TetraScience Company Profile



Overview



TetraScience is a frontier in scientific data management, offering a state-of-the-art cloud-native platform designed exclusively for the life sciences sector. The company is on a mission to transform scientific data handling and augment discovery, ultimately striving to improve and extend human life. This platform significantly enhances operational performance and collaboration in biopharmaceuticals by simplifying data management and streamlining scientific processes ([TetraScience Platform Overview](https://www.tetrascience.com/platform/tetra-scientific-data-ai-cloud)).

Key Features



The Tetra Scientific Data and AI Cloud stands as the flagship offering, specifically celebrated for its capabilities in data integration, engineering, and enhancement. It supports AI-driven workflows and ensures compliance with industry standards like GxP, positioning itself as a pivotal R&D tool.

Leadership



Leadership at TetraScience is spearheaded by:

  • Patrick Grady, Founder, Chairman, and CEO, who actively collaborates with Bayer AG and Microsoft, driving advancements in scientific AI ([Patrick Grady on LinkedIn](https://www.linkedin.com/in/patrickwgrady)).





Financials



TetraScience attracted significant investment, having secured $80 million in a Series B funding round in April 2021, culminating in a total funding of $99.1 million. These financial resources cultivate the development of the R&D Data Cloud platform and support the company's expansive growth strategies.

Partnerships and Collaborations



Strategic alliances enhance TetraScience's market edge, exemplified by partnerships with high-caliber firms such as:


  • Collaborative ventures with Databricks and Microsoft, underscoring TetraScience's role in leading AI in scientific research.


Recent Highlights



In 2022, TetraScience demonstrated robust performance with a 111% increase in Annual Recurring Revenue (ARR) and a 400% expansion in their partner network, supported by an extension in their product offerings ([TetraScience YTD 2022 Highlights](https://www.tetrascience.com/news/tetrascience-announces-ytd-2022-highlights)).

TetraScience Competitor Profile



Overview



TetraScience operates within a highly competitive environment. Its platform, central to efficient scientific data management, generates annual revenue of $29.3 million and employs approximately 195 individuals.

Key Competitors



The competitive landscape includes formidable entities like REDCap, Viedoc, Castor, Medrio EDC, and Greenlight Guru Clinical. Additionally, insights reveal competition from the KNIME Analytics Platform, LabVantage, IBM Watson Studio, Spotfire, Rhino Health, Manifold, Overwatch Research, Benchling, Agilent, and Thermo Fisher Scientific.

Detailed Competitor Profiles



Benchling



Benchling provides a biology-centric cloud platform utilized for biotech R&D. Its services span across 200,000 scientists worldwide, integrating innovation to support Fortune 500 companies and startup ventures through digital standardization for the biopharmaceutical and gene therapy sectors.

LabVantage



With its sophisticated Laboratory Information Management System (LIMS), LabVantage operates across 1,500 global sites, offering substantial cybersecurity measures and industry-specific accelerators that expedite deployment and ensure data integrity.

Castor



Renowned for streamlining electronic clinical data management, Castor enhances trial workflows through compliance with GDPR and HIPAA, providing integrative solutions like eConsent and ePRO to support global collaboration and real-time data access.

REDCap



A product of Vanderbilt University, REDCap offers a secure platform for clinical and research data collection with extensive customization options. Its widespread use globally is due to its robust and adaptable data management framework.

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