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TetraScience

TetraScience logo

TetraScience

The only R&D data cloud for life sciences.

tetrascience.com
HQ: Boston, MA, USA
Healthcare

Company research

Public company, workplace, funding, and market signals

Overview

TetraScience is a Boston- and Basel-based Scientific Data and AI company that builds Tetra OS, a vendor-agnostic platform for turning fragmented lab and process data into AI-ready, governed scientific data and workflows for biopharma. Public sources describe it as a private software company focused on life sciences data engineering, analytics, and Scientific AI.

Primary product

Tetra OS

Founded

2019

Headquarters

Boston, Massachusetts, United States

Team size

150-200

Work style

Flexible

Industry

Software Development

Sub-industry

Scientific data and AI platform for life sciences / biopharma

Offices

Boston, Massachusetts, United States (HQ)
Basel, Switzerland (European HQ)
Atlanta, Georgia, United States

Business model

Enterprise SaaS / platform licensing
Professional services / implementation
Outcome-based scientific data engineering
Partner ecosystem / integrations

Funding

Stage

Series B / growth

Total raised

$124.3M

Latest round

Reg D exempt offering (Form D filing) · Feb 2026

Latest amount

$15M

People & investors

Leadership

Patrick Grady

Founder, Chairman, and CEO

Siping “Spin” Wang

Founder and Field CTO

James Orsillo

Chief Financial Officer

Ellen DiPasquale

Chief Human Resources Officer

Matt Studney

Chief Customer Officer

Simon Meffan-Main

General Manager

Naveen Kondapalli

Chief Development Officer

Alan Millar

VP, Tetra Partner Network

Ken Fountain

VP, Scientific Applications

Investors

Alkeon Capital
First Round Capital
Floodgate Capital
Founder Collective
Impetus Ventures
Insight Partners
TriplePoint Venture Growth
Underscore VC
Waters Corporation
Y Combinator

Work & culture

Public culture materials emphasize radical transparency, high performance, customer alignment, fearless execution, equal opportunity/equal compensation, and a team-over-family operating model with unusually open access to business data.

Work style

Flexible

Compensation

Public job postings advertise competitive compensation on some roles, including posted salary bands and equity; some postings also note remote/hybrid flexibility and the company’s equal-compensation culture. Specific pay details vary by role and are not standardized publicly.

Benefits

100% employer-paid benefits for eligible employees and immediate family members
Unlimited PTO
401(k)
Company-paid life insurance
Company-paid LTD/STD
Flexible working arrangements
Remote work
Hybrid roles available

Product & market

Pricing

Enterprise quote-based SaaS / platform and services pricing; no public self-serve pricing found.

Differentiators

  • —Purpose-built for scientific data and Scientific AI, not generic horizontal data tooling
  • —Open, vendor-agnostic scientific data model (Tetra Data / IDS, taxonomy, ontology)
  • —Combines platform software with embedded scientific expertise ('Sciborgs')
  • —Strong biopharma workflow focus across R&D, quality, and manufacturing
  • —Large integration network across instruments, informatics, analytics, and data partners

Technology

AWS
Azure
OCI
Kubernetes
React
TypeScript
GitHub
GitLab
Jenkins
Docker
Datadog
Grafana
Prometheus
Snowflake
Databricks
PostgreSQL
Apache Spark
Apache Iceberg
MLflow
Jupyter

Customers

Takeda
Thermo Fisher Scientific
Bayer
Syngenta
Organon
Novo Nordisk
Alexion / AstraZeneca Rare Disease
Zymeworks
SOLVO

Competitors

Benchling
Dotmatics
nference
PolyModels Hub
Halo
BioPhy
Concert Bio
HypherData
SciNote

Scale & contact

Estimated revenue

$10M-$20M

Estimated monthly visits

16.4K

Traffic estimate as of Jun 2026

info@tetrascience.com+1 857-244-1514

Signals & risks

Other
Jan 2019

Company blog describes the Spring 2019 pivot/rebuild of Tetra 2.0 after the prior business was out of money and could have shut down, indicating a material reset of the company’s structure and strategy.

Source
Acquisition
Jan 2020

TetraScience sold its Tetra Lab Monitoring business to Elemental Machines, a material divestiture of a non-core business line.

Source

Latest news

Syngenta Deploys Tetra OS to Accelerate Scientific Discovery Through Industrial-Scale Data Automation

GlobeNewswire / TetraScience · Apr 2026

Syngenta selected Tetra OS to power digital automation and data transformation in crop protection R&D, with TetraScience positioning the deployment as an industrial-scale Scientific AI/data automation win.

TetraScience Appoints Matt Studney as Chief Customer Officer, Signaling Industry Shift Toward Platform-Based Scientific AI

TetraScience · Jan 2026

TetraScience added Matt Studney as CCO; the announcement frames the hire as a signal that pharma customers are moving from bespoke internal efforts toward shared Scientific AI platforms.

TetraScience Announces Collaboration with Thermo Fisher Scientific to Accelerate Scientific Data and AI Enablement Across the Laboratory

PR Newswire / TetraScience · Jan 2026

TetraScience and Thermo Fisher announced a collaboration to accelerate AI across biopharma R&D and manufacturing by transforming scientific data into AI-native form and developing intelligent workflows.

TetraScience and Organon Collaborate to Modernize Quality Control Data Management

TetraScience · Dec 2025

Organon is deploying TetraScience’s Scientific Data Foundry to automate QC data workflows and improve batch release testing and compliance.

TetraScience and Bayer Expand Partnership to Advance Scientific Data Management

TetraScience · Nov 2025

Bayer expanded its deployment of TetraScience’s Scientific Data Foundry across pharma and crop science R&D to centralize and harmonize data and speed analysis.

About / leadershipBlogCareersGitHubHomepageLinkedIn companyNewsroomScientific Data EngineeringSEC Form D filingThe Tetra Way PDF
SourcesOfficial homepageCompany about / leadership / valuesCompany newsroomCareersThe Tetra Way PDFScientific Data Engineering pageBlogGitHub orgLinkedIn company pageSEC Form D filing (2026 exempt offering)

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