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About TetraScience
Industries
AI & Machine Learning
Biotechnology
Healthcare
Company Size
51-200
Company Stage
Series B
Total Funding
$113.8M
Headquarters
Boston, Massachusetts
Founded
2019
Overview
TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.
Simplify's Take
What believers are saying
- Growing demand for AI-ready scientific data solutions in the biopharma industry.
- Strategic partnerships with Microsoft, Google, and Databricks enhance computational power and AI capabilities.
- Expansion of AI-native datasets supports next-generation lab data management and scientific use cases.
What critics are saying
- Increased competition from major tech companies investing in AI and cloud solutions.
- Reliance on strategic partnerships poses risks if these partnerships dissolve.
- Complexity and cost of integration with existing systems may deter potential clients.
What makes TetraScience unique
- TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.
- The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.
- TetraScience's Scientific Data Cloud centralizes and harmonizes data for AI/ML applications.
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Funding
Total Funding
$113.8M
Above
Industry Average
Funded Over
3 Rounds
Insight Partners
First Round Capital
Y CombinatorIndustry standards
Benefits
Unlimited PTO
100% company paid health, dental, & vision
Company paid life insurance
401k savings
Company paid disability insurance
Equity program
Flexible work arrangements
Growth & Insights and Company News
6 month growth
↓ -1%1 year growth
↓ -1%2 year growth
↓ -1%TetraScience collaborates with Microsoft to advance Scientific AI at scale.
What You Should Know: – TetraScience, a provider of scientific data cloud solutions announced a strategic collaboration with Microsoft to accelerate the adoption of artificial intelligence (AI) in the biopharmaceutical industry. – The strategic partnership combines TetraScience’s Scientific Data and AI Cloud with the power and security of Microsoft Azure, creating a robust platform for scientific organizations to extract valuable insights from their complex experimental data.Explosion of Scientific Data ChallengesThe biopharmaceutical industry is facing a critical challenge: the explosion of scientific data. While AI holds immense promise for accelerating drug discovery and development, much of this data remains trapped in proprietary formats and scattered across disparate systems. This hinders the effective training and deployment of AI models, limiting the potential for breakthroughs.Harmonizing Scientific Data and Empowering AI WorkflowsThe TetraScience and Microsoft collaboration addresses this challenge head-on. By providing a comprehensive solution that encompasses massive computational power, advanced AI models, sophisticated scientific data ontologies, and deep scientific expertise, the partnership empowers organizations to overcome data silos and unlock the full potential of AI.TetraScience’s Scientific Data and AI Cloud is purpose-built to replatform and engineer scientific data into powerful data models and domain-specific use cases. This harmonizes data from hundreds of scientific instruments and vendor formats, ensuring that experimental context is preserved for multimodal analytics and AI model training.Microsoft Azure provides the enterprise-grade infrastructure and computational backbone for demanding scientific workloads, including real-time analytics and large-scale AI applications. This ensures that researchers have the resources they need to train and deploy sophisticated AI models.Preliminary Collaboration ResultsThis collaboration is already delivering tangible results
At AI Summit Japan, TetraScience, a company that engineers AI-native scientific datasets, announced a collaboration with NVIDIA to industrialize the production of scientific AI use cases to accelerate and improve workflows across the life sciences value chain.
BOSTON SAN FRANCISCO--(BUSINESS WIRE)--TetraScience and Databricks today announced a strategic partnership dedicated to helping life sciences organizations harness Scientific AI to bring more effective and safer therapies to market faster and less expensively. The life sciences industry is racing to unlock data intelligence and harness the value of AI. Companies want to use their massive data sets and ever-cheaper computational resources but are blocked by more than 10 million silos of unstructured and vendor-specific proprietary data, which inhibit AI. This partnership rapidly accelerates the Scientific AI revolution by re-platforming and engineering this data to enable the large-scale production of AI-native scientific data across the entire value chain, supporting a growing suite of next-generation lab data management solutions, scientific use cases, and AI-based scientific outcomes
BOSTON--(BUSINESS WIRE)--TetraScience, the Scientific Data and AI Cloud company, today announced a strategic partnership with Google Cloud at the Bio-IT World Conference Expo to speed up drug development and other scientific discoveries. By bringing the Tetra Scientific Data and AI Cloud together with Google Cloud’s infrastructure and AI technologies, the two companies will help empower the life science industry to harness Scientific AI to generate insights much more quickly. This, in turn, will lead to accelerated and improved research, development, and quality-control processes for advanced therapies. “Scientific AI holds extraordinary potential to accelerate and improve science by delivering new capabilities to all key stakeholders - scientists, data and AI teams, and scientific IT,” said Patrick Grady, CEO and chairman of TetraScience. “Together, TetraScience and Google Cloud provide the sophisticated design and industrialization of AI-native scientific datasets and advanced AI technologies to deliver on this unprecedented opportunity.”. The Tetra Scientific Data and AI Cloud shatters the industry-wide data silo paradigm and uniquely centralizes, designs, and industrializes the production of large-scale and liquid AI-native scientific datasets
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About TetraScience
Industries
AI & Machine Learning
Biotechnology
Healthcare
Company Size
51-200
Company Stage
Series B
Total Funding
$113.8M
Headquarters
Boston, Massachusetts
Founded
2019
TetraScience is Hiring for 0 Jobs on Simplify!
Find jobs on Simplify and start your career today