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Finding value faster in healthcare & life sciences data

Website
Location
Company size
1-10 people
Total raised
$2.8M
Company type
Private Company
Markets
HealthcarePharmaceuticalsBig Data AnalyticsArtificial Intelligence / Machine Learning
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Tag.bio careers

Finding value faster in healthcare & life sciences data
Tag.bio has created a powerful, containerized data products platform that allows organizations to accelerate discovery by >1000x. Each instance integrates data sources with best-of-breed algorithms (statistics, ML, DL, and other AI techniques) and makes question-based data analysis apps available to the end user through a customizable UI. With notable customers in both pharma and healthcare, the Tag.bio platform is being used to integrate multiple types of data into a suite of re-runnable analysis apps designed for reproducibility, deep insight, and scientific robustness.

There are two key differentiators in the Tag.bio platform. The first is a focus on user experience, with easy-to-build analysis apps that speak the language of the domain expert. The second is the underlying data mesh architecture, the foundation of the Tag.bio data experience. The mesh is a network of interconnected data nodes. Each data node ties a data source, algorithms, analysis apps, and a smart API together into an independently deployable, containerized analysis server. The modularity promotes agility and scalability, allowing users to get value from day one.

Tag.bio provides a complete data experience that integrates all aspects of a user’s interactions with the data, contained within a browser-based data portal (for mobile and desktop). The data portal is a centralized, collaborative hub that enables domain experts to confidently run analyses on multiple data nodes. The results are saved as useful data artifacts (UDATs) that can be shared and reproduced with a single click.

Go from data to answers within 24 hours. Select the data you want, map it into the data node within hours, and deploy the node to the analysis site within minutes. Once the node is visible in the site, domain experts can start using the analysis apps to ask and answer their own questions instantly.
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Jesse Paquette

Avatar for Jesse Paquette
Data scientist and software architect • Founder tag.bio • Worked at @SymphonyAI Sensa, @UCSF • Studied at @University of Colorado, Denver, @Kalamazoo College

Tom Covington

Avatar for Tom Covington
Founder @Ardica Technologies, Tag.bio • Worked at @Pinnacle Engines, @Honda Performance Development • Studied at @Stanford University
Total raised

$2.8M

Funded over

2 rounds

Latest round

Seed (Jun 2019)

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