Tag.bio
Tag.bio is a San Francisco-based SaaS company that provides a composable data mesh and AI orchestration platform for healthcare and life sciences organizations to harmonize multi-modal clinical, genomics, and RWE data and deploy predictive and agentic AI workflows.
- Company typePrivate
- Founded2013
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Tag.bio does
Tag.bio is a San Francisco-based data infrastructure company that has built a composable data mesh platform purpose-built for healthcare and life sciences organizations. The platform's three core products — Data Products, Data Mesh, and Enterprise AI — enable pharmaceutical companies, hospital systems, and research institutions to ingest, harmonize, and analyze complex multi-modal data sources (EHR, clinical trials, genomics, omics, RWE) using domain-specific turnkey archetypes for OMOP, CDISC, and related standards. Data products are harmonized, versioned, containerized, and git-backed units with embedded algorithms and ontology mappings, exposed through a unified Smart API that supports no-code point-and-click analysis as well as R, Python, and SQL access for data scientists.
Underlying the platform is an enterprise AI stack that integrates commercial foundation models (OpenAI, Anthropic Claude, Google Gemini), open-source models (Mistral, Meta Llama, Qwen, DeepSeek), and biology-specialized models (AlphaFold3, ESMFold, ChemBERTa, BioBERT, ClinicalBERT), orchestrated through agentic frameworks (CrewAI, LangGraph, Azure AutoGen Studio) and exposed via Model Context Protocol (MCP) for universal AI-to-data connectivity. The platform ships with built-in CI/CD pipelines, Kubernetes-based deployment, and turnkey onboarding for cloud ML services (Amazon SageMaker, Azure AI, Google Vertex AI), and is itself available through AWS Marketplace and Azure Marketplace.
Tag.bio monetizes through enterprise SaaS subscriptions sold via a consultative direct sales motion — 30-minute demos, pilot project inquiries, and custom annual contracts — targeting large pharmaceutical and biotech firms, hospital systems, and research foundations. Named customers include Pfizer, Regeneron, PPD, UCSF Medical Center, Parkinson's Foundation, and SimpleTherapy, with anonymized references to a Top 10 Pharma and a Large Pharma. The company is privately held and venture-backed by accelerators (Alchemist, Dreamit, StartX, Creative Destruction Lab, PharmStars) and small funds (Merus Capital, Newfund), with a co-founder-led leadership team including CEO Tom Covington, Chief Science Officer Jesse Paquette, and CTO Sanjay Padhi (former Head of AWS Research).
Tag.bio firmographics
Firmographics- Name
- Tag.bio
- Legal name
- Tag.bio
- Website
- https://tag.bio
- Company type
- Private
- Founded year
- 2013
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Tag.bio is a San Francisco-based SaaS company that provides a composable data mesh and AI orchestration platform for healthcare and life sciences organizations to harmonize multi-modal clinical, genomics, and RWE data and deploy predictive and agentic AI workflows.
- Ownership category
- akta.pro rank
Tag.bio industry classification
Industry- Product category
- Healthcare and Life Sciences Data Platform
- NAICS
- Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Scientific Data Management & Data Platforms (SDMS/Data Lakehouse for R&D) (HLAGAJAC)
- akta.pro secondary industries
- Biostatistics, Statistical Computing & Clinical Programming (SAS/R/Pipelines) (HLACAOAO), AI/ML-Enabled Biologic Discovery Platforms (computational design, in silico screening) (HLAAAIAE)
Keywords
Where Tag.bio is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Tag.bio business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- SaaS Platform Subscription: Tag.bio operates as a SaaS platform providing subscription-based access to its data mesh and AI platform for healthcare and life sciences organizations. The platform is available through direct procurement and cloud marketplaces (AWS, Azure), suggesting a subscription pricing model with enterprise contracts. Pilot projects and demos are offered as engagement entry points.
- Marketplace Transactions: Availability in AWS Marketplace and Azure Marketplace may enable usage-based or transactional procurement through cloud billing infrastructure.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise platform subscription — no public pricing disclosed |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels5 records
Tag.bio product offering
Product offeringCore offering
Tag.bio provides a composable data mesh platform for healthcare and life sciences organizations. The platform enables users to instantiate governed, versioned, containerized data products from disparate sources (EHR, OMOP, CDISC, omics, RWE), expose them through harmonized Smart APIs, and build predictive and generative AI applications including agentic AI workflows. It is sold primarily as an enterprise SaaS subscription, deployable on AWS, Azure, GCP or hybrid/on-prem environments.
Product overview
Tag.bio is a composable data mesh platform comprising three core integrated products: Data Products (harmonized, versioned, containerized data units as the fundamental building block), Data Mesh (network of interconnected data products providing scalability and FAIR-compliant APIs), and Enterprise AI (predictive and generative AI solution with agentic capabilities). Additional modules include Low-code Data Preparation (data ingestion and modeling with turnkey archetypes), Harmonized API Access (universal API layer for no-code and code-based access), Embedded & Customized Algorithms (pro-code algorithm implementation), and the Agentic AI Platform (autonomous AI agents for life sciences workflows). The platform is deployed as a managed SaaS solution with support for AWS, Azure, and GCP cloud environments.
Differentiator
Problem solved
Functional benefit
Products and services
- Data Products Composable, harmonized, versioned, containerized and git-backed data products that merge multi-modal data sources (OMOP, CDISC, EHR, RWE, DNA-Seq, RNA-Seq) into simplified data models with ontology mappings, designed for healthcare and life sciences data teams.
- Data Mesh Network of interconnected, FAIR-compliant data products providing scalability, orchestration, distribution, CI/CD and governance across cloud (AWS, Azure, GCP), hybrid and on-prem environments for healthcare and life sciences organizations.
- Enterprise AI Unified AI capability for building, fine-tuning and deploying predictive and generative AI projects on healthcare and life sciences data, with containerized private model registries, a developer studio and integrations with Amazon SageMaker, Microsoft Azure AI and Google Vertex AI.
- Agentic AI Platform Platform for deploying autonomous AI agents in life sciences workflows, with multi-agent orchestration via CrewAI and LangGraph, Model Context Protocol integration for universal data connectivity, Agent-to-Agent communication, biology-specialized agent models and Federated Agent Networks operating across institutional boundaries.
Companies that use Tag.bio
Customer profileNamed customers8 records
Segments3 records
Ideal customer profiles3 records
Tag.bio technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration31 records
AI capability7 records
Feature10 records
Tag.bio partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered core and integration partner.
- SimpleTherapycoreTag.bio and SimpleTherapy partnered to bring transparency in precision medicine for MSK (musculoskeletal) issues, which significantly impact employers and health plans due to increased healthcare costs and reduced employee productivity.
- Parkinson's FoundationcoreParkinson's Foundation and Tag.bio partnered to enable researchers across organizations to securely analyze and share anonymized data combining clinical and genomics data sets, accelerating research and driving insights into Parkinson's disease.
- L7 InformaticscoreL7 Informatics 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 L7's customers with harmonized, governed data access.
- Amazon (AWS)integration partnerTag.bio is available in AWS Marketplace and integrates with AWS cloud infrastructure for secure compute environment deployment of data products. Amazon is also listed as an investor in Tag.bio.
- Microsoft Azureintegration partnerTag.bio is available in Azure Marketplace and integrates with Microsoft Azure AI and cloud infrastructure. Microsoft is also listed as an investor in Tag.bio.
- Google Cloudintegration partnerTag.bio integrates with Google Cloud infrastructure and Google Vertex AI for AI/ML deployment. Google is also listed as an investor in Tag.bio.
Scale indicators2 records
Recent moves6 records
Expansion highlights5 records
Tag.bio competitors and assessment
Company assessmentDirect peers
- DNAnexus: Cloud-based biomedical data analysis and management platform serving pharma, clinical labs, and consortia. Directly comparable to Tag.bio as it provides harmonized genomics and clinical data backends with similar target customers and marketplace integrations.
- Dotmatics: Scientific R&D informatics platform spanning lab data, ELN, and analytics for pharma and biotech. Comparable to Tag.bio on the scientific data management and harmonization layer for R&D-intensive customers.
- TetraScience: Scientific data cloud that harmonizes R&D data from lab instruments and enterprise systems for life sciences customers. Competes with Tag.bio on the data harmonization layer for pharma/biotech R&D workflows, with a similar industry vertical focus.
- Seven Bridges / Velsera: Biomedical data analysis platform for genomics, multi-omics, and clinical research. Directly comparable to Tag.bio in providing data harmonization and analytics infrastructure to pharma, academic consortia, and clinical research customers.
- L7 Informatics: Provider of the L7|ESP unified life sciences platform, which is actively integrating Tag.bio's data mesh. Both companies target the same HLS enterprise customers with harmonized data product concepts; the partnership makes them both collaborators and adjacent competitors.
Broad incumbents
- Veeva Systems: Dominant life sciences cloud platform spanning commercial, clinical, regulatory, and quality. While narrower on data mesh, Veeva overlaps with Tag.bio on harmonized data products for clinical and commercial operations at large pharma customers.
- Databricks: Broader lakehouse/data intelligence platform with a dedicated Healthcare & Life Sciences vertical offering data products, ML/AI tooling, and marketplace harmonized datasets. Competes with Tag.bio at the platform layer while addressing a much wider enterprise customer base.
- Snowflake: Cloud data warehouse with a Healthcare & Life Sciences Data Cloud, secure data sharing, and pre-built HLS datasets. Competes with Tag.bio on the harmonization and analytics layer and is one of Tag.bio's integrated data sources.
- Palantir Foundry: Enterprise data integration and analytics platform with significant presence in pharma R&D, clinical operations, and government health. Competes with Tag.bio on harmonizing and operationalizing complex multi-modal data at large health and life sciences organizations.
- AWS HealthLake / HealthOmics: AWS's HIPAA-eligible managed services for storing, transforming, and querying healthcare and omics data. Directly comparable to Tag.bio's underlying harmonization capabilities and bundled with the broader AWS ecosystem that also distributes Tag.bio via AWS Marketplace.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Tag.bio social profiles
Digital presenceTag.bio financial estimates
Financial estimateRevenue estimate
Valuation estimate
Tag.bio leadership team
Management profileNumber of profiles
Profiles4 records
Tag.bio funding detail
Funding detailFunding overview
Funding rounds10 records
Investors7 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Tag.bio M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Tag.bio
What does Tag.bio do?
Tag.bio provides a composable data mesh platform for healthcare and life sciences organizations. The platform enables users to instantiate governed, versioned, containerized data products from disparate sources (EHR, OMOP, CDISC, omics, RWE), expose them through harmonized Smart APIs, and build predictive and generative AI applications including agentic AI workflows. It is sold primarily as an enterprise SaaS subscription, deployable on AWS, Azure, GCP or hybrid/on-prem environments.
Is Tag.bio a public or private company?
Tag.bio is a private company. It is classified as venture growth investor backed and is currently operating.
When was Tag.bio founded?
Tag.bio was founded in 2013. It employs 11 to 50 people.
Where is Tag.bio based?
Tag.bio is headquartered in San Francisco, United States, in the North America region.
How does Tag.bio make money?
Two revenue lines are on record. SaaS Platform Subscription is the primary driver. The others are marketplace Transactions.
Who are Tag.bio's main competitors?
Direct peers on record are DNAnexus, Dotmatics, TetraScience, Seven Bridges / Velsera and L7 Informatics. Broad incumbents are Veeva Systems, Databricks, Snowflake, Palantir Foundry and AWS HealthLake / HealthOmics.
Does Tag.bio have an API?
Yes. Tag.bio offers a Smart API that enables universal data product access. The API supports REST endpoints, SQL API for data analysts and BI tools, and R & Python SDKs for data scientists. Smart APIs combine datasets, algorithms, R/Python scripts, and analysis workflows into callable API methods. The platform supports JSON and YAML for configuration. APIs provide reproducible, point-and-click analysis capabilities, and data frame extraction for ad-hoc analysis, visualization, and ML model building. Model Context Protocol (MCP) integration is explicitly mentioned for universal data connectivity.
What industry is Tag.bio in?
Tag.bio's product category is Healthcare and Life Sciences Data Platform. Its primary akta.pro industry code is HLAGAJAC, Scientific Data Management & Data Platforms (SDMS/Data Lakehouse for R&D), with a secondary code of HLACAOAO, Biostatistics, Statistical Computing & Clinical Programming (SAS/R/Pipelines). Its NAICS code is 5132 and its SIC code is 7372.