Difference between revisions of "Vendor:TetraScience, Inc."
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==Technology and products== | ==Technology and products== | ||
===Tetra R&D Data Cloud=== | ===Tetra R&D Data Cloud=== | ||
The Tetra R&D Data Cloud is a [[software as a service]] (SaaS) platform deployed on [[Amazon Web Services]] (AWS)<ref name="TS_AWSExec21">{{cite web |url=https://www.tetrascience.com/blogs/aws-executive-conversations-evolving-r-d |title=AWS Executive Conversations: Evolving R&D |work=TetraScience blog |publisher=TetraScience, Inc |date=12 February 2021 |accessdate=02 May 2021}}</ref> that allows researchers and laboratories to collect and unify experimental data, and load it to the cloud for improved sharing, data analysis, and insight.<ref name="TSR&DCloudProd">{{cite web |url=https://www.tetrascience.com/ | The Tetra R&D Data Cloud is a [[software as a service]] (SaaS) platform deployed on [[Amazon Web Services]] (AWS)<ref name="TS_AWSExec21">{{cite web |url=https://www.tetrascience.com/blogs/aws-executive-conversations-evolving-r-d |title=AWS Executive Conversations: Evolving R&D |work=TetraScience blog |publisher=TetraScience, Inc |date=12 February 2021 |accessdate=02 May 2021}}</ref> that allows researchers and laboratories to collect and unify experimental data, and load it to the cloud for improved sharing, data analysis, and insight.<ref name="TSR&DCloudProd">{{cite web |url=https://www.tetrascience.com/platform/tetra-data-platform |title=Tetra Data Platform |publisher=TetraScience, Inc |accessdate=18 October 2022}}</ref> The platform focuses on improving scientific data acquisition, harmonization, integration, and management in a cloud-based environment "to automate the full life cycle of R&D data."<ref name="TSR&DCloudProd" /> Features of the platform include<ref name="TSR&DCloudProd" /><ref name="TSR&DCloudDataMan">{{cite web |url=https://www.tetrascience.com/platform/data-management-collaboration |title=Data Management and Collaboration |publisher=TetraScience, Inc |accessdate=18 October 2022}}</ref><ref name="TSDataSci">{{cite web |url=https://www.tetrascience.com/platform/cloud-data-science |title=Accelerate Data Science in Biopharma, at Enterprise-Scale |publisher=TetraScience, Inc |accessdate=18 October 2022}}</ref>: | ||
* is cloud-native | * is cloud-native | ||
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====Additional information==== | ====Additional information==== | ||
* [https:// | * [https://resources.tetrascience.com/ TetraScience whitepapers and other resources] | ||
* [https:// | * [https://resources.tetrascience.com/tetrascience-blog TetraScience blog] | ||
* [https:// | * [https://developers.tetrascience.com/docs TetraScience documentation] | ||
==References== | ==References== | ||
Revision as of 23:56, 18 October 2022
| Type | Coporation |
|---|---|
| Industry | Laboratory informatics |
| Headquarters | 294 Washington Street, 11th Floor, Boston, Massachusetts, United States |
| Number of locations | 2 |
| Area served | Worldwide |
| Products |
Products list
|
| Website | tetrascience.com |
| https://www.linkedin.com/company/tetrascience/ |
TetraScience, Inc. develops and distributes cloud-based enterprise life science data management and laboratory informatics solutions.
History
TetraScience, Inc. was formally founded in Massachusetts in October 2014.[1] The startup was co-founded by Spin Wang, Salvatore Savo, and Alok Tayi "over a shared dislike for data-collecting tools that have remained relatively unchanged in labs for a half-century."[2] The trio sought to build an advanced "platform that connected equipment and pooled data into a single place in the cloud."[2] The company claimed in 2018 to have its platform used by more than 60 percent of the world's top 20 pharmaceutical companies.[2]
In April 2021, the company announced it had secured $80 million of Series B funding.[3]
Technology and products
Tetra R&D Data Cloud
The Tetra R&D Data Cloud is a software as a service (SaaS) platform deployed on Amazon Web Services (AWS)[4] that allows researchers and laboratories to collect and unify experimental data, and load it to the cloud for improved sharing, data analysis, and insight.[5] The platform focuses on improving scientific data acquisition, harmonization, integration, and management in a cloud-based environment "to automate the full life cycle of R&D data."[5] Features of the platform include[5][6][7]:
- is cloud-native
- provides a library of templates, models, and pre-built pipelines
- supports more than 100 instruments, applications, and research organizations
- supports JSON-based or custom data schemas
- allows for the conversion to other vendor-agnostic file formats
- provides centralized metadata and tag management
- supports centralized user authentication
- supports role-based access
- provides tools for reporting and data analysis
Pricing
Pricing is not made public.
Demonstration videos and other media
TetraScience has more than 20 demonstration videos related to its Tetra R&D Data Cloud solution at YouTube.
Additional information
References
- ↑ "TetraScience, Inc.". Business Entity Search. Secretary of the Commonwealth of Massachusetts. https://corp.sec.state.ma.us/CorpWeb/CorpSearch/CorpSummary.aspx?sysvalue=F6vhiKTPtcy8oyyM.L6WnIg7l0xHnDLaoOEEbyZQaE0-. Retrieved 02 May 2021.
- ↑ 2.0 2.1 2.2 Matheson, R. (25 January 2018). "Startup makes labs smarter". MIT News. https://news.mit.edu/2018/startup-tetrascience-makes-labs-smarter-0125. Retrieved 02 May 2021.
- ↑ "TetraScience Secures $80 Million Series B and Accelerates Roll Out of the World's Only Open R&D Data Cloud for Scientific Discovery". PR Newswire. 15 April 2021. https://www.prnewswire.com/news-releases/tetrascience-secures-80-million-series-b-and-accelerates-roll-out-of-the-worlds-only-open-rd-data-cloud-for-scientific-discovery-301269172.html. Retrieved 02 May 2021.
- ↑ "AWS Executive Conversations: Evolving R&D". TetraScience blog. TetraScience, Inc. 12 February 2021. https://www.tetrascience.com/blogs/aws-executive-conversations-evolving-r-d. Retrieved 02 May 2021.
- ↑ 5.0 5.1 5.2 "Tetra Data Platform". TetraScience, Inc. https://www.tetrascience.com/platform/tetra-data-platform. Retrieved 18 October 2022.
- ↑ "Data Management and Collaboration". TetraScience, Inc. https://www.tetrascience.com/platform/data-management-collaboration. Retrieved 18 October 2022.
- ↑ "Accelerate Data Science in Biopharma, at Enterprise-Scale". TetraScience, Inc. https://www.tetrascience.com/platform/cloud-data-science. Retrieved 18 October 2022.
