TAG.BIO IS A SCALABLE

Application Layer For Data

Tag.bio is a composable data mesh platform enabling you to design and deploy data products, derive insights, and build proprietary AI & generative AI models at lightning speed.
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Tag.bio - the Future Data Stack 

Data Products

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Interconnected Data Products
(Data Mesh)

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Enterprise AI: Predictive
& Generative AI

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Data mesh and data products streamline data management and collaboration, enhancing the scalability, quality, and versatility of analysis and generative AI applications while improving security and reducing latency. Tag.bio technology simplifies data preparation, supports iterative development, and ensures reliable, high-quality data for generative AI models, ultimately leading to more effective and efficient AI systems.

UNLOCK THE VALUE OF YOUR DATA

Building with Tag.bio

Unlock the value of your data. Ideal for the complex, multimodal data sources in healthcare / life sciences.
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Create

Leverage any data source (or combination of sources) to instantiate governed, versioned, containerized, git-backed data products.

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Deploy

Use built-in enterprise CI/CD process to deploy containerized data products in your secure compute environment (AWS, Azure, GCP, Hybrid, On-prem).

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Connect

Harmonized data product APIs facilitate universal, governed access via frontend applications and data science environments (IDEs, notebooks).

HEALTHCARE AND LIFE SCIENCES (HLS)

Transforming Healthcare and Life Sciences

Data challenges are everywhere in HLS, and data infrastructure must be flexible enough to handle the wide variety and large volumes of collected data. There are still many unmet needs across the biomedical domain: secure collaboration, reproducible data science, emerging data types, specialized algorithms, and multi-modal integration. Tag.bio's technology addresses all of these challenges with simplicity and transparency, delivering high-value applications, specialized algorithms, generative AI, and high-quality data frames to researchers, business units, physicians, data scientists, and analytics dashboards.

Data Products

Composable Data Units

Multi-modal data sources are merged into a simplified, harmonized, versioned data model - for example, a patient registry with medical history and genomics, or a phase 2 clinical trial. Ontologies and controlled vocabulary mappings ensure quality in the model for downstream use. Data modeling is turnkey (e.g. OMOP, CDISC), and customizable for novel and emerging data sources (e.g. scRNA-Seq).

Toolkits for Collaboration

Tag.bio data products are designed for use of the data - not storage of the data. Use cases are defined by stakeholders (domain experts), ingestion and modeling is performed by data engineers, and algorithms, workflows, and advanced AI components are integrated as Apps by data scientists. This is all facilitated within the Tag.bio platform, which provides simple-yet-powerful tooling for design, testing, deployment, evaluation, and improvement of data products.

Your Questions, Your Data, Your Answers

Once published, each data product is equipped with specialized Apps for domain experts to repeatedly ask and answer questions via point-and-click, for data scientists to extract high-quality data frames into R or Python, for use in AI and Generative AI algorithms, and for delivery to dashboards and other analysis software.

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Data Mesh

Design for Scalability

There are many facets to scalability of data systems - Tag.bio's data mesh covers them all - from the micro scale within data products (optimized memory use, low-code templates, sharable functions & algorithms) to the macro scale across data products (load balancing, orchestration, distribution of volume, decentralized & composable data products, CI/CD, testing, etc.).

Enterprise Ecosystem

Tag.bio's data mesh is deployed with a fully-managed suite of design, deployment, testing, orchestration, governance, and analytics components. Researchers can use the web frontend to ask data questions to the mesh via point-and-click, data scientists can use the integrated Jupyter notebook to work with data in the mesh, and cloud engineers can manage deployment of data products and the scaling of the mesh across any cloud.

Incrementing, Compounding Value

Tag.bio's data mesh will begin to deliver value after deployment of its first data product, which can happen as quickly as one day, for a turnkey data source (OMOP, CDISC). Additional value is then derived incrementally with each data product deployed into the mesh and as more users are on-boarded to the platform. Compounding value can be achieved as data products are cross-analyzed, yielding novel answers to questions that could never be answered before.

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Enterprise AI: Predictive & Generative AI

Accelerate AI development  in Healthcare and Life Sciences using Tag.bio. The platform offers tools for building, fine-tuning, and deploying AI models, including support for commercial (GPT-4, Claude-2, PaLM-2) and open-source (Mistral AI, Llama-2, Falcon-7b) foundational models

Advanced Data Analysis

Use LLM to enhances biomedical data analysis by generating insights, automating tasks, and uncovering hidden patterns within data products.

LLM Agents, Workflow Automation and RAGs

Deploy LLM agents to automate healthcare workflows, integrate data analysis, and guide research with RAGs, propelling life science discoveries.

Fine-Tuned Models

Fine-tune LLMs to unlocks personalized medicine, predicts disease, and accelerates drug discovery in healthcare and life sciences.

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Case Studies

Top 10 Pharma
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Harmonizing Clinical Trials

Clinical Trials are at the core of the Pharmaceutical industry. Success or failure of a trial can dramatically change how a large pharma operates, and for smaller companies, it means life-or-death. Identifying heterogeneity & discriminating biomarkers, toxicity and dosage effects, and potential positive or negative interactions are all essential data tasks - within and across trials. In collaboration with a top 10 pharma, Tag.bio's platform automatically instantiates harmonized data products from various sources (incl. CDISC and omics) to make them instantly usable and interoperable.
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Parkinson’s Foundation
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Accelerating Research and Insight into Parkinson’s Disease

In collaboration with Parkinson's Foundation, the Tag.bio platform provides a securely accessible and distributable data product (from Redcap) which enables discovery of disease-related DNA-Seq variants, identification of patient cohorts by genotype, medical history, and geographic region, and deep informatics research (e.g. GWAS) for both researchers (point-and-click), data scientists (R & Python data frames), and AI algorithms.
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Large Pharma
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Data Products from Preclinical to Post-marketing

High-value datasets are generated, published, and utilized at every layer of the pharmaceutical value chain (i.e. preclinical, clinical, RWE, pharmacovigilance, safety, health economics, marketing). At leading pharmaceutical companies, the Tag.bio data mesh provides rich, harmonized data products for each of these layers - enabling applications, ad-hoc analysis, and generative AI questions to be asked across one or more of them - providing a holistic, data-driven view of a therapeutic's overall impact (including weaknesses and market opportunities).
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Healthcare
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Helping Hospitals Improve Outcomes and Reduce Costs

The University of California, San Francisco Medical Center (UCSF) is dedicated to improving patient care and improving population health outcomes, while minimizing unnecessary activities and excessive costs. UCSF utilizes Tag.bio data products spanning critical EHR and cost-accounting data sources - giving physicians the tools to find over $10M in cost savings while improving standards of care.
LEARN MORE

Harmonizing Clinical Trials

Clinical Trials are at the core of the Pharmaceutical industry. Success or failure of a trial can dramatically change how a large pharma operates, and for smaller companies, it means life-or-death. Identifying heterogeneity & discriminating biomarkers, toxicity and dosage effects, and potential positive or negative interactions are all essential data tasks - within and across trials. In collaboration with a top 10 pharma, Tag.bio's platform automatically instantiates harmonized data products from various sources (incl. CDISC and omics) to make them instantly usable and interoperable.

LEARN MORE

Accelerating Research and Insight into Parkinson’s Disease

In collaboration with Parkinson's Foundation, the Tag.bio platform provides a securely accessible and distributable data product (from Redcap) which enables discovery of disease-related DNA-Seq variants, identification of patient cohorts by genotype, medical history, and geographic region, and deep informatics research (e.g. GWAS) for both researchers (point-and-click), data scientists (R & Python data frames), and AI algorithms.

LEARN MORE

Data Products from Preclinical to Post-marketing

High-value datasets are generated, published, and utilized at every layer of the pharmaceutical value chain (i.e. preclinical, clinical, RWE, pharmacovigilance, safety, health economics, marketing). At leading pharmaceutical companies, the Tag.bio data mesh provides rich, harmonized data products for each of these layers - enabling applications, ad-hoc analysis, and generative AI questions to be asked across one or more of them - providing a holistic, data-driven view of a therapeutic's overall impact (including weaknesses and market opportunities).

LEARN MORE

Helping Hospitals Improve Outcomes and Reduce Costs

The University of California, San Francisco Medical Center (UCSF) is dedicated to improving patient care and improving population health outcomes, while minimizing unnecessary activities and excessive costs. UCSF utilizes Tag.bio data products spanning critical EHR and cost-accounting data sources - giving physicians the tools to find over $10M in cost savings while improving standards of care.

LEARN MORE

Latest from Tag.bio

 L7 and Tag.bio Team Up to Accelerate Digital...

L7 is integrating Tag.bio's data mesh platform into its "life-leading unified platform," L7|ESP, and offering it to all existing and new customers. A virtual data mesh provides the best strategy to provide...

READ MORE
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Parkinson’s Foundation and Tag.bio Partner to Accelerate...

The partnership with Parkinson’s Foundation will enable researchers across organizations to securely analyze and share anonymized data combining clinical and genomics data sets...

READ MORE
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Tag.bio and SimpleTherapy® Partner to Bring Transparenc...

MSK issues significantly impact employers and health plans due to increased healthcare costs and reduced employee productivity. For members, these conditions can impair quality...

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An End–to-End Data Mesh Platform for Innovation

Integrate novel Data Mesh architecture within your organization and safely utilize generative AI.

READ MORE
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Tag.bio available in AWS Marketplace

Tag.bio is a data analytics platform for healthcare and life sciences. It combines data sets, smart APIs, statistical and machine learning algorithms into data nodes for users to discover insights using data mesh...

READ MORE
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Tag.bio available in Azure Marketplace

Tag.bio is a data analytics platform for healthcare and life sciences. It combines data sets, smart APIs, statistical and machine learning algorithms into data nodes for users to discover insights using data mesh...

READ MORE
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Tag.bio-Microsoft Healthcare Partner Showcase

Learn how healthcare organizations set up COVID-19 registries for research and financial recovery.

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Anatomy of a Data Product - Part One

This is an article in a series about building data products with Tag.bio

READ MORE
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Anatomy of a Data Product - Part Two

This is an article in a series about building data products with Tag.bio

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Anatomy of a Data Product - Part Three

This is an article in a series about building data products with Tag.bio

READ MORE
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Anatomy of a Data Product - Part Four

This is an article in a series about building data products with Tag.bio

READ MORE
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Anatomy of a Data Product - Part Five

This is an article in a series about building data products with Tag.bio

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Right Button

 L7 and Tag.bio Team Up to Accelerate Digital...

L7 is integrating Tag.bio's data mesh platform into its "life-leading unified platform," L7|ESP, and offering it to all existing and new customers. A virtual data mesh provides the best strategy to provide...

READ MORE
Arrow icon

Parkinson’s Foundation and Tag.bio Partner to Accelerate...

The partnership with Parkinson’s Foundation will enable researchers across organizations to securely analyze and share anonymized data combining clinical and genomics data sets...

READ MORE
Arrow icon

Tag.bio and SimpleTherapy® Partner to Bring Transparenc...

MSK issues significantly impact employers and health plans due to increased healthcare costs and reduced employee productivity. For members, these conditions can impair quality...

READ MORE
Arrow icon

An End–to-End Data Mesh Platform for Innovation

Integrate novel Data Mesh architecture within your organization and safely utilize generative AI.

READ MORE
Arrow icon

Tag.bio available in AWS Marketplace

Tag.bio is a data analytics platform for healthcare and life sciences. It combines data sets, smart APIs, statistical and machine learning algorithms into data nodes for users to discover insights using data mesh...

READ MORE
Arrow icon

Tag.bio available in Azure Marketplace

Tag.bio is a data analytics platform for healthcare and life sciences. It combines data sets, smart APIs, statistical and machine learning algorithms into data nodes for users to discover insights using data mesh...

READ MORE
Arrow icon

Tag.bio-Microsoft Healthcare Partner Showcase

Learn how healthcare organizations set up COVID-19 registries for research and financial recovery.

READ MORE
Arrow icon

Anatomy of a Data Product - Part One

This is an article in a series about building data products with Tag.bio

READ MORE
Arrow icon
left button
Right Button