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Tetrascience Blog
The 4 Keys to Unlock the Lab of the Future

The 4 Keys to Unlock the Lab of the Future

Published Date September 27, 2021

Infographic highlighting 4 critical “keys” that biopharma needs to unlock the Lab of the Future.

Previous Blog

Part 1: Why Biopharma Needs an End-to-End, Purpose-Built Platform for R&D Data

Why is biopharma R&D data so hard to manage? Why do DIY data warehouse solutions, created from industry-agnostic components, so often fail to deliver desired benefits? (Part one of a two-part series.)
Next Blog

Experimental Data in Life Sciences R&D — It’s How Many Copies of Jaws?!

Key takeaways from the “Why Life Sciences R&D Organizations Are Replatforming Their Experimental Data to the Cloud” webinar with 20/15 Visioneers.

Most Recent Blog

2 days ago
Waters & The Tetra Partner Network: Making Data Science Possible

A year in review and what the future holds for the partnership

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about 1 month ago
Announcing Acquisition of Tetra Lab Monitoring Business by Elemental Machines

Elemental Machines, a manufacturer of universal laboratory asset management technology for research, clinical, and testing labs around the world, today announced its successful acquisition of the...

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14 days ago
Move From Fractal to Flywheel with The Tetra Partner Network

Every day, our customers confront a painful question: “What got lost today?” Despite hundreds of tools in their laboratories, they still don’t have what they most need - harmonized and centralized...

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4 months ago
TetraScience Achieves SOC 2 Type 2 Validation, Advances R&D Data Cloud GxP Compliance Capabilities

SOC2 Type 2 Security Alignment is a link in a chain, underscoring Tetra Data Platform's (TDP's) and TetraScience's readiness to support customer compliance efforts around GxP and attendant...

Read Blog
4 months ago
Principles of Deep Learning Theory

A groundbreaking new book, soon to be published by Cambridge University Press, promises to simplify application of deep neural networks and make their inner workings easier to validate.

Read Blog
3 months ago
Part 2: Why Biopharma Needs an End-to-End, Purpose-Built Platform for R&D Data

Building a platform tuned for biopharma R&D use cases means making it data-centric, cloud native, R&D-focused, and open. (Part two of a two-part series.)

Read Blog
4 months ago
Part 1: Why Biopharma Needs an End-to-End, Purpose-Built Platform for R&D Data

Why is biopharma R&D data so hard to manage? Why do DIY data warehouse solutions, created from industry-agnostic components, so often fail to deliver desired benefits? (Part one of a two-part series.)

Read Blog
4 months ago
Experimental Data in Life Sciences R&D — It’s How Many Copies of Jaws?!

Key takeaways from the “Why Life Sciences R&D Organizations Are Replatforming Their Experimental Data to the Cloud” webinar with 20/15 Visioneers.

Read Blog
4 months ago
How an IDS Complements Raw Experimental R&D Data in the Digital Lab

We use an intuitive analogy to help explain the purpose and use cases of our Intermediate Data Schema (IDS) and its relationship with data archival in a life sciences context.

Read Blog
10 months ago
Announcing our Series B: The DNA Markers of Category Kings and Queens

Category Kings and Queens dominate in the winner-take-all world of tech economics in which they capture virtually all of a market's mindshare, market share, margin, and market capitalization.

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4 months ago
Announcing our Series B: Tetra 1.0 and 2.0 | The Noise and the Signal

Since launching Tetra 2.0 our growth metrics have been simply remarkable, with 2020 ARR growing 10x over 2019 and 2021 ARR growth expected to increase another 3x over 2020.

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4 months ago
Announcing Our Series B: The What, When, Why, Who, and Where

We are incredibly excited and profoundly grateful to announce the closing of our $80 million Series B which was co-led by Insight Partners and Alkeon Capital.

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3 months ago
99 Problems, but an SDMS Ain't One

Data volumes are exploding. Workflows continue to get more complex legacy systems and processes can't keep up. All these factors are compounding into one big cluster...

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4 months ago
Powering Bioprocessing 4.0 for Therapeutic Development

AGU's Sm@rtLine Data Cockpit and TetraScience partner to unify life sciences R&D data in the cloud and automate lab workflows to power Bioprocessing 4.0.

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4 months ago
Data Automation for High-Throughput Screening with Dotmatics, Tecan, and PerkinElmer Envision

Despite robotic automation, experiment data sets are still isolated from one another, requiring manual data acquisition and handling. The Tetra Data Platform brings automation to the data.

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4 months ago
The Digital Lab Needs an Intermediate Data Schema (IDS): a First Principle Analysis

We believe one of the key building blocks of a Digital Lab is the flow of Data. Without the flow of information, data is siloed, fragmented, and nearly impossible to drive action. To enable...

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4 months ago
What is an R&D Data Cloud? (And Why Should You Care?)

What does it take to implement an end-to-end, cloud-native solution for unlocking and extracting value from your R&D data? A guide for decision-makers, scientists, and R&D IT.

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4 months ago
Data Science Use Cases for the Digital Lab: Novel Analyses with Waters Empower CDS Data

Once your Empower data is in the cloud - harmonized, structured, and connected to your data science tools - what meaningful analyses can your data scientists perform? We've collected several...

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4 months ago
Allotrope 101

The Allotrope Foundation, an international consortium of pharma, biotech, and other research-intensive industries, has developed advanced data architecture to transform the acquisition, exchange,...

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4 months ago
The Science Behind Trash Data

John F. Conway, Chief Visioneer Officer at 20/15 Visioneers, dives into the subject of Trash Data and its impact on R&D organizations. With thirty years of experience, Mr. Conway believes the...

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