TetraScience
TetraScience builds Tetra OS, a cloud-native scientific data and AI platform that converts raw laboratory instrument outputs into AI-native datasets for pharmaceutical, biotechnology, and agricultural R&D organizations via enterprise SaaS subscriptions and embedded scientist-engineer services.
- Company typePrivate
- Founded2017
- HeadquartersBoston, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What TetraScience does
TetraScience is a Boston-based private software company that operates the Tetra OS platform, a cloud-native scientific data and AI platform purpose-built for life-sciences R&D and manufacturing. The company's core proposition is converting raw, siloed instrument and lab-application outputs into AI-native, more-than-FAIR datasets that can be consumed by analytics and machine-learning workloads, addressing a data-layer problem that TetraScience argues has suppressed scientific productivity for decades. The platform is modular: the Scientific Data Foundry performs ingestion and engineering using a proprietary JSON-based Intermediate Data Schema (IDS); the Scientific Use Case Factory productizes validated AI-enabled workflows (including the CRO Connect suite for automating contract-research-organization data handoffs); Tetra AI provides reasoning and orchestration; and add-on applications such as the Chromatography Insights App and GxP Compliance module extend coverage across research, development, and quality/manufacturing. Underlying infrastructure runs on Databricks and NVIDIA technology.
The company sells primarily to large pharmaceutical and biotechnology R&D organizations — including Merck, Bayer, Takeda, Alexion, Organon, and Landmark Bio — with documented penetration of 48% of top pharma companies as of 2024 and an expanded footprint into agricultural science via Syngenta. Revenue is generated through enterprise SaaS subscriptions priced on data volume, instrument count, and use cases, supplemented by professional-services revenue from embedded scientist-engineers (Tetra Sciborgs) who operationalize adoption. Distribution is exclusively direct enterprise field sales with a consultative, land-and-expand motion; no self-serve channel exists. TetraScience is venture-backed (Series B of $80M co-led by Insight Partners and Alkeon Capital in April 2021, plus a $15M exempt offering in February 2026), headquartered in Boston with European activity, and operates with 101–250 employees of whom 46% hold life-sciences backgrounds.
TetraScience firmographics
Firmographics- Name
- TetraScience
- Legal name
- TetraScience, Inc.
- Website
- https://tetrascience.com
- Company type
- Private
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- TetraScience builds Tetra OS, a cloud-native scientific data and AI platform that converts raw laboratory instrument outputs into AI-native datasets for pharmaceutical, biotechnology, and agricultural R&D organizations via enterprise SaaS subscriptions and embedded scientist-engineer services.
- Ownership category
- akta.pro rank
TetraScience industry classification
Industry- Product category
- Scientific Data and AI Cloud Platform
- NAICS
- Computer Systems Design and Related Services (54151)
- SIC
- Services-Computer Integrated Systems Design (7373), Services-Computer Programming Services (7371)
- akta.pro primary industry
- Site & Investigator Platforms (Site Payments, Feasibility, Activation) (HLACAOAJ)
- akta.pro secondary industries
- Regulatory Information Management (RIM) & Submission Publishing Software (HLAGAJAL), Quality Engineering & Risk Management (ICH Q9/Q10, validation, change control) (HLAGAKAL)
Keywords
Where TetraScience is headquartered
LocationHeadquarters
- HQ city
- Boston
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
TetraScience business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- SaaS Platform Subscription: Subscription-based access to Tetra Scientific Data and AI Platform. Customers pay for platform access, data processing, and storage capabilities. Enterprise pricing based on data volume, number of instruments, and use cases.
- Professional Services (Tetra Sciborgs): Embedded scientist-engineer consulting services for implementation, use case identification, and operational support. Science-led approach combining domain expertise with technical implementation.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise platform subscription with customizable modules |
Go-to-market motion1 record
Distribution channels1 record
Marketing channels7 records
TetraScience product offering
Product offeringCore offering
TetraScience builds Tetra OS, a cloud-native Scientific Data and AI Platform that liberates, unifies, and transforms raw lab data from instruments, ELN/LIMS, and CRO/CDMOs into AI-native, standardized formats. The platform includes the Scientific Data Foundry for data ingestion and engineering, the Scientific Use Case Factory for workflow productization, Tetra AI as a reasoning and orchestration layer, and add-on applications like CRO Connect and the Chromatography Insights App. Forward-deployed scientist-engineers (Tetra Sciborgs) help enterprise biopharma customers operationalize adoption of the platform across research, development, and manufacturing functions.
Product overview
TetraScience offers Tetra OS, the world's only cloud-native and open Scientific Data and AI Platform designed to enable Scientific AI. The platform comprises the Scientific Data and AI Cloud (the core platform for data replatforming and engineering), Tetra Data (AI-native engineered data built on JSON-based Intermediate Data Schema), Tetra AI (reasoning and orchestration layer), and the Tetra Partner Network (ecosystem of integrations). The platform is modular, with add-on applications including the Chromatography Insights App for data visualization, GxP Compliance for regulated environments, and CRO Connect for automating CRO data workflows. Supporting services include Tetra Sciborgs (embedded scientist-engineers) who operationalize adoption. The platform delivers 10x scientist productivity, 40x faster production insights, and 60% earlier time to market through data liberation, unification, and AI-native transformation.
Differentiator
Problem solved
Functional benefit
Brands
- Tetra OS: The operating system for scientific intelligence - a cloud-native platform that transforms raw lab data into AI-native datasets
- Tetra Partner Network
- Tetra Data
- Tetra Sciborgs
Products and services
- Tetra OS The operating system for scientific intelligence that liberates, unifies, and transforms raw scientific data into AI-native data. Comprises the Scientific Data Foundry, the Scientific Use Case Factory, and Tetra AI.
- Tetra Scientific Data and AI Cloud
Quantifiable outcome
- 80% reduction in CRO data review time (from 2-3 hours per batch to 20 minutes)
- +14 more outcomes
Companies that use TetraScience
Customer profileNamed customers7 records
Segments3 records
Ideal customer profiles2 records
TetraScience technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration5 records
AI capability9 records
Feature8 records
TetraScience partnerships and signals
Strategic signalPartnerships
Seven partnerships are on record, tiered major and core.
- SyngentamajorSyngenta selected Tetra OS platform, specifically Data Foundry, to power digital automation and data transformation across its Crop Protection R&D organization. Platform centralizes and harmonizes analytical data from chromatography, mass spectrometry, and characterization systems, transforming instrument raw data into standardized, AI-ready formats.
- TakedamajorTakeda partnered with TetraScience to utilize AI for accelerating drug discovery as part of business overhaul. Partnership supports Takeda's data-driven R&D approach to reduce discovery timelines and enable faster identification of therapeutic targets.
- DatabrickscoreTetraScience built Tetra OS on Databricks and NVIDIA technology. Platform transforms raw lab instrument outputs into AI-ready datasets using Databricks lakehouse architecture. Measurable improvements demonstrated including antibody binding predictions and cell line development optimization.
- Thermo Fisher ScientificcoreStrategic collaboration to accelerate Scientific AI adoption in biopharmaceutical R&D and manufacturing. Integration of TetraScience's Scientific Data Foundry and Scientific Use Case Factory with Thermo Fisher's instrumentation and informatics solutions to develop intelligent workflows at scale. Partnership focuses on transforming scientific data into AI-native formats for improved reproducibility, throughput, and scalability.
- NVIDIAcoreTetraScience integration with NVIDIA technology as part of AI infrastructure stack. Platform leverages NVIDIA GPUs and AI frameworks for accelerating scientific data processing and AI model training.
- OrganonmajorOrganon deployed TetraScience's Scientific Data Foundry to improve quality testing workflows at its Belgium manufacturing site. Achieved up to 30% reduction in analysis time and increased data integrity, supporting faster batch release for women's health medicines.
- Bayer AGcoreExpanded partnership to deploy Scientific Data Foundry across Bayer's pharmaceutical and crop science R&D operations. Enables centralized and harmonized scientific data from laboratory instruments and external CRO and CDMO partners. Implementation enables same-day analysis and decision-making previously requiring weeks of data integration.
Scale indicators15 records
Recent moves6 records
Expansion highlights6 records
TetraScience competitors and assessment
Company assessmentDirect peers
- Benchling: Cloud-native R&D platform serving biopharma with a similar combination of data management, workflow, and AI-ready data capabilities. Closely aligned on target customers (top pharma R&D) and product surface area (lab data, ELN-style workflows, integrations with scientific instruments).
- Dotmatics: Scientific informatics platform (LIMS, ELN, SDMS) acquired by Siemens, serving pharma R&D with laboratory data management. Direct competitor in the lab data integration and scientific workflow space that TetraScience is positioning against.
- Genedata: Enterprise scientific software platform for biopharma R&D with data management, workflow automation, and AI/ML-ready data infrastructure. Comparable on customer profile (top biopharma) and on the integration of instrument and assay data into analyzable datasets.
- LabVantage Solutions: LIMS provider with growing SDMS and ELN modules serving regulated life sciences labs. Overlaps with TetraScience on lab data unification, integration with instruments, and GxP-grade compliance capabilities.
- STARLIMS (Abbott Informatics): LIMS platform serving regulated labs including pharma QC, manufacturing, and R&D. Overlaps with TetraScience on GxP-grade data management and integration with laboratory instruments.
Broad incumbents
- Veeva Systems: Dominant life sciences cloud platform spanning commercial, regulatory, clinical, and quality. While Veeva's R&D footprint (Vault R&D) overlaps with TetraScience in lab informatics, it operates as a much broader portfolio player across the life sciences value chain.
- Revvity Signals Software (formerly PerkinElmer Informatics): Scientific informatics suite (Signals Notebook, Elements, ChemDraw) from PerkinElmer/Revvity serving life sciences and applied markets. Competes with TetraScience on lab data capture and ELN/SDMS, but as part of a broader scientific tools portfolio.
Emerging players
- Schrödinger: Scientific computing platform with physics-based and AI-driven drug discovery tools used by top pharma. Comparable on bringing AI to scientific R&D workflows, but focused on computational chemistry/biophysics rather than experimental lab data integration.
- Scitara: Scientific data connectivity platform focused on instrument-to-LIMS/ELN integration in life sciences labs. Comparable on the lab data integration and SDMS-style capabilities that underpin TetraScience's IDS layer.
Others
- Databricks: TetraScience's underlying data platform partner (lakehouse architecture) but also a potential competitor as Databricks builds life sciences-specific solutions on top of its data platform. Treated here as a partner/ecosystem enabler rather than a direct competitor.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
TetraScience social profiles
Digital presenceTetraScience compliance and trust
Trust signalCompliance4 records
TetraScience financial estimates
Financial estimateRevenue estimate
Valuation estimate
TetraScience leadership team
Management profileNumber of profiles
Profiles9 records
TetraScience funding detail
Funding detailFunding overview
Funding rounds12 records
Investors15 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
TetraScience 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 TetraScience
What does TetraScience do?
TetraScience builds Tetra OS, a cloud-native Scientific Data and AI Platform that liberates, unifies, and transforms raw lab data from instruments, ELN/LIMS, and CRO/CDMOs into AI-native, standardized formats. The platform includes the Scientific Data Foundry for data ingestion and engineering, the Scientific Use Case Factory for workflow productization, Tetra AI as a reasoning and orchestration layer, and add-on applications like CRO Connect and the Chromatography Insights App. Forward-deployed scientist-engineers (Tetra Sciborgs) help enterprise biopharma customers operationalize adoption of the platform across research, development, and manufacturing functions.
Is TetraScience a public or private company?
TetraScience is a private company. It is classified as venture growth investor backed and is currently operating.
When was TetraScience founded?
TetraScience was founded in 2017. It employs 101 to 250 people.
Where is TetraScience based?
TetraScience is headquartered in Boston, United States, in the North America region.
How does TetraScience make money?
Two revenue lines are on record. SaaS Platform Subscription is the primary driver. The others are professional Services (Tetra Sciborgs).
Who are TetraScience's main competitors?
Direct peers on record are Benchling, Dotmatics, Genedata, LabVantage Solutions and STARLIMS (Abbott Informatics). Broad incumbents are Veeva Systems and Revvity Signals Software (formerly PerkinElmer Informatics). Emerging players are Schrödinger and Scitara. Databricks is listed as an others.
Does TetraScience have an API?
Yes. TetraScience exposes a public API. Developer documentation is at developers.tetrascience.com.
What industry is TetraScience in?
TetraScience's product category is Scientific Data and AI Cloud Platform. Its primary akta.pro industry code is HLACAOAJ, Site & Investigator Platforms (Site Payments, Feasibility, Activation), with a secondary code of HLAGAJAL, Regulatory Information Management (RIM) & Submission Publishing Software. Its NAICS code is 54151 and its SIC code is 7373.