DataJoint
DataJoint provides a computational database platform that codifies experiments, pipelines, and results as reproducible scientific data for pharmaceutical R&D, academic medical centers, and research institutions, with built-in 21 CFR Part 11 compliance and AI-ready provenance governance.
- Company typePrivate
- Founded2016
- HeadquartersHouston, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What DataJoint does
DataJoint operates a computational database platform designed to make scientific research reproducible and productive for life sciences R&D organizations. The company's core technology is a proprietary computational database architecture where cells can contain data OR code, enabling automatic downstream recomputation when inputs change with full computational lineage preserved; the platform captures not just data but the pipeline that produced it, including code version, parameters, and compute context, supporting deterministic workflows where identical inputs and code yield identical results. The product surface includes the core DataJoint platform, DataJoint Agentic AI (a governed execution layer for semi-autonomous AI in regulated research environments launched February 2026), DataJoint Elements (an open-source library of reusable pipeline modules for electrophysiology, calcium imaging, pose estimation, and transcriptomics originally developed under NIH BRAIN Initiative funding), and the DataJoint Apps catalog with 47 components spanning first-party Elements and third-party tool integrations.
DataJoint serves four primary customer segments: pharmaceutical R&D (discovery through manufacturing lifecycle, including preclinical and clinical research), academic medical centers (translational research, multi-site studies, regulatory-aligned work), research institutions (university labs, consortia, NIH-funded programs), and adjacent industries (materials science and semiconductor R&D). Named customers include Johns Hopkins Applied Physics Lab, Harvard Medical School, UCSF, Baylor College of Medicine, NYU, Boston University, Indiana University, University of Bonn, Shriners Children's, and the MICrONS program (a $100M Apollo Project across Baylor, Allen Institute, and Princeton). The platform has processed 2 PB of scientific data across 20+ institutions, with 100+ peer-reviewed publications and 3,000+ citations referencing the technology.
The business model combines enterprise SaaS subscriptions for commercial pharma and biotech (multi-year contracts scoped to program size), professional services delivered through the SciOps team (DataJoint scientists and engineers working alongside customer teams, with 60-90 day pilots from kickoff to first production deployment), and lighter subscription pricing for academic and research institutions aligned with NIH-funded budgets. GTM is enterprise field sales targeting pharma R&D leaders and academic medical centers, augmented by community-led adoption through the open-source DataJoint Elements foundation. The company is privately held, headquartered in Austin, Texas (with firmographic listing Houston), raised a $4.9M seed round in September 2025, and holds SOC 2 Type II, HIPAA, 21 CFR Part 11, and GDPR compliance certifications.
DataJoint firmographics
Firmographics- Name
- DataJoint
- Legal name
- DataJoint, Inc.
- Website
- https://datajoint.com
- Company type
- Private
- Founded year
- 2016
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- DataJoint provides a computational database platform that codifies experiments, pipelines, and results as reproducible scientific data for pharmaceutical R&D, academic medical centers, and research institutions, with built-in 21 CFR Part 11 compliance and AI-ready provenance governance.
- Ownership category
- akta.pro rank
DataJoint industry classification
Industry- Product category
- Scientific Data Management Software
- NAICS
- Custom Computer Programming Services (541511), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computer Systems Design and Related Services (54151)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)
- akta.pro primary industry
- Data Governance Platforms (Policies, Stewardship, Workflows) (HDAEADAB)
- akta.pro secondary industries
- Data Lineage & Impact Analysis (HDAEADAF), Data Platform (Unified Data & Analytics) Suites (HDAEABAD), Healthcare Data Integration, ETL/ELT & Pipeline Orchestration (HLACAIAC)
Keywords
Where DataJoint is headquartered
LocationHeadquarters
- HQ city
- Houston
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
DataJoint business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- Enterprise SaaS Platform: Commercial platform licensing for pharma, biotech, and commercial life sciences companies. Includes platform access, governance features, and managed deployment.
- Professional Services (SciOps): Hands-on services from DataJoint scientists and engineers who work directly with customer teams to codify specific workflows. Includes deployment support, knowledge transfer, and ongoing program support.
- Academic/Research Pricing: Lighter pricing packages for academic and research institutions aligned with research budgets and NIH-funded programs.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Multi-year contract | Enterprise commercial for pharma and biotech |
| Subscription | Annual | Academic and research institution pricing |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels6 records
DataJoint product offering
Product offeringCore offering
DataJoint provides a computational database platform that codifies experiments, pipelines, and results as first-class scientific data for life sciences R&D. The platform captures multi-modal scientific data with full computational provenance, automatically recomputes downstream outputs when inputs change, and integrates upstream of existing data warehouses (Databricks, Snowflake, Palantir). It is built for 21 CFR Part 11, GxP, SOC 2 Type II, HIPAA, and GDPR compliance.
Product overview
DataJoint is a computational database platform designed as the scientific data foundation for accelerated life sciences R&D. The platform consists of a core product (DataJoint) that codifies experiments, pipelines, and results as first-class scientific data, plus modular components including DataJoint Elements (open-source reusable pipeline modules for domains like electrophysiology and calcium imaging), the DataJoint Apps catalog (47+ validated components and third-party integrations), DataJoint Agentic AI (a governed execution layer for semi-autonomous AI in regulated R&D), and SciOps professional services for deployment support. The platform integrates upstream of existing R&D infrastructure including Databricks, Snowflake, Palantir, and ELN/LIMS systems, and is built for regulated environments with 21 CFR Part 11, SOC 2 Type II, HIPAA, and GDPR compliance.
Differentiator
Problem solved
Functional benefit
Products and services
- DataJoint Core Platform The scientific data foundation for accelerated life sciences R&D: a computational database that codifies experiments, pipelines, and results as first-class scientific data, sitting upstream of existing platforms (Databricks, Snowflake, Palantir). Supports 21 CFR Part 11, GxP-ready deployment, and ALCOA+ data integrity principles for enterprise customers.
- DataJoint Elements Open-source library of reusable schemas and pipelines for common scientific domains including electrophysiology, calcium imaging, pose estimation, and transcriptomics. Accelerates time-to-value while remaining fully customizable to teams' protocols.
- DataJoint Apps Catalog Browseable catalog of 47 reusable scientific pipeline components and integrations: 15 validated DataJoint Elements plus 32+ third-party tools with documented integration patterns, searchable by scientific category.
- DataJoint Agentic AI Governed execution layer for scientific workflows that enables semi-autonomous AI operation on rigorously structured and multi-provenance data. Designed for pharmaceutical companies and academic medical centers seeking to accelerate discoveries while maintaining reproducibility and regulatory compliance in AI-driven research pipelines.
- Element Array Electrophysiology Modular pipeline for analyzing extracellular array electrophysiology data acquired with Neuropixels probes and spike sorted using Kilosort. Supports multiple probe insertion modes, workflow variations, and NWB export for data sharing.
- Element Calcium Imaging Modular pipeline for functional calcium imaging microscopy, validated for multi-photon and miniscope setups. Supports acquisition software (ScanImage, Scanbox, Nikon NIS-Elements, Bruker Prairie View) and analysis software (Suite2p, CaImAn, EXTRACT).
- SciOps Professional Services Hands-on engagement by DataJoint scientists and engineers working directly with customer teams to codify specific scientific workflows. Includes deployment support, knowledge transfer to internal teams, and ongoing program support. Typical pilot runs 60-90 days from kickoff to first production deployment.
- CWL Pipeline Migration Support Native capability that converts Common Workflow Language (CWL) pipelines into DataJoint workflows with automatic provenance, resilient error handling, real-time monitoring, and structured data management. Enables research organizations to modernize existing CWL pipelines without starting from scratch.
Quantifiable outcome
- 60 days from kickoff to first production deployment
- +4 more outcomes
Companies that use DataJoint
Customer profileNamed customers13 records
Segments4 records
Ideal customer profiles4 records
DataJoint technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration36 records
AI capability4 records
Feature6 records
DataJoint partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered program and advisory.
- PharmStarsprogramPharma-focused global accelerator program. DataJoint selected for 9th cohort, providing opportunities to explore partnerships with pharma leaders and industry collaboration.
- John Apathy (Strategic Advisor)advisoryStrategic Advisor joining to enhance leadership in data and AI in life sciences R&D. Extensive background in biopharmaceutical digital transformation.
Scale indicators9 records
Recent moves6 records
Expansion highlights6 records
DataJoint competitors and assessment
Company assessmentDirect peers
- Benchling: Cloud-based R&D platform for life sciences with electronic lab notebooks, molecular biology, and workflow management. Directly comparable to DataJoint as a scientific data platform for biotech and pharma R&D, with DataJoint positioning as a complementary upstream governance layer.
- TetraScience: Scientific data cloud that harmonizes instrument and lab data into a unified lake for life sciences. Comparable as a scientific data infrastructure vendor targeting pharma R&D, with DataJoint emphasizing computational provenance on top of similar data plumbing.
- Dotmatics: Scientific informatics platform spanning ELN, LIMS, data analytics, and workflow tools for drug discovery. Comparable as an enterprise scientific data platform serving pharma and biotech R&D teams with similar reproducibility and governance needs.
- Genedata: Biopharma data analysis and workflow platform for R&D, including screening, biologics, and omics. Comparable as a long-standing enterprise vendor addressing complex scientific data management in regulated pharma R&D.
- IDBS (Danaher): R&D informatics platform offering ELN, data management, and workflow solutions for life sciences and biopharma. Comparable as a regulated R&D data platform competing for similar enterprise procurement budgets.
- LabVantage: Laboratory information management system (LIMS) and scientific data management platform used in pharma, biotech, and research. Comparable as an enterprise data platform for regulated scientific workflows.
Broad incumbents
- Databricks: Unified data and AI platform with Delta Lake, Unity Catalog, and pharma-focused solutions. Comparable as a documented integration partner and broad incumbent that could extend native provenance and governance capabilities into DataJoint's niche.
- Snowflake: Cloud data platform with native scientific and life-sciences workloads. Comparable as a documented integration target and broad incumbent whose data governance roadmap could overlap with DataJoint's scientific provenance layer.
- Palantir Technologies: Data platform (Foundry) used by pharma and biotech for R&D and clinical data integration. Comparable as a documented integration partner and broad incumbent with deep enterprise reach in life sciences.
Emerging players
- Aridhia: Biomedical and translational research data platform used in academic medical centers and clinical research environments. Comparable as a research-focused scientific data platform with similar provenance and multi-site study coordination requirements.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks7 records
Key highlights7 records
Customer concentration
DataJoint social profiles
Digital presenceDataJoint compliance and trust
Trust signalCompliance4 records
DataJoint financial estimates
Financial estimateRevenue estimate
Valuation estimate
DataJoint leadership team
Management profileNumber of profiles
Profiles5 records
DataJoint funding detail
Funding detailFunding overview
Funding rounds2 records
Investors4 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
DataJoint 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 DataJoint
What does DataJoint do?
DataJoint provides a computational database platform that codifies experiments, pipelines, and results as first-class scientific data for life sciences R&D. The platform captures multi-modal scientific data with full computational provenance, automatically recomputes downstream outputs when inputs change, and integrates upstream of existing data warehouses (Databricks, Snowflake, Palantir). It is built for 21 CFR Part 11, GxP, SOC 2 Type II, HIPAA, and GDPR compliance.
Is DataJoint a public or private company?
DataJoint is a private company. It is classified as venture growth investor backed and is currently operating.
When was DataJoint founded?
DataJoint was founded in 2016. It employs 11 to 50 people.
Where is DataJoint based?
DataJoint is headquartered in Houston, United States, in the North America region.
How does DataJoint make money?
Three revenue lines are on record. Enterprise SaaS Platform is the primary driver. The others are professional Services (SciOps) and academic/Research Pricing.
Who are DataJoint's main competitors?
Direct peers on record are Benchling, TetraScience, Dotmatics, Genedata, IDBS (Danaher) and LabVantage. Broad incumbents are Databricks, Snowflake and Palantir Technologies. Aridhia is listed as an emerging player.
Does DataJoint have an API?
No public API is recorded for DataJoint.
What industry is DataJoint in?
DataJoint's product category is Scientific Data Management Software. Its primary akta.pro industry code is HDAEADAB, Data Governance Platforms (Policies, Stewardship, Workflows), with a secondary code of HDAEADAF, Data Lineage & Impact Analysis. Its NAICS code is 541511 and its SIC code is 7370.