TetraScience Tech Stack

AI-native platform unifying fragmented scientific data for biopharma R&D and manufacturing

Software Development Boston, MA 201–500 employees Founded 2019 Privately Held

TetraScience builds Tetra OS, a data and AI platform designed to consolidate siloed experimental data across discovery, development, and manufacturing workflows in biopharma. The tech stack reveals a mature data infrastructure play: Databricks, Snowflake, Delta Lake, Apache Spark, and AWS services form the backbone, with React and agentic AI layers on top. Active hiring (36 roles, accelerating) skews heavily toward senior and leadership-track positions across sales, engineering, and data, suggesting both product expansion and a sales-led push into enterprise biopharma organizations.

Tech Stack 63 technologies

Core StackDatabricks Python Java TypeScript AWS AWS Lambda Apache Airflow Apache Spark AWS Glue Delta Lake Snowflake C# DynamoDB AWS RDS React CloudFormation Go AWS Step Functions .NET Framework AWS SQS API Gateway NVIDIA AWS CDK Bash VPC IAM AWS KMS GuardDuty CloudTrail AWS WAF+33 more

What TetraScience Is Building

◆Challenges

Sso provisioning challenges
Vendor approval delays
Fragmented scientific data
Siloed raw scientific data
Data management pain points
It governance complexity
It security reviews
Category creation
Incident response
Integrating data pipelines

▲Active Projects

Tetra os data pipeline configuration
Scientific use case enablement
Instrument connectivity implementation
Build comprehensive data schemas and parsers for pre-clinical data
Proof-of-concept engagements
Rfp technical responses
Industrialize scientific ai
Solution architecture design
Design and implement extensible data models
Lakehouse architecture evolution

Hiring Activity

Accelerating35 roles · 35 in 30d

Department

Sales

Engineering

Data

Ops

Executive

Product

Seniority

Senior

Director

Lead

Notable leadership hires: Chief of Staff, Delivery Director

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About TetraScience

TetraScience is a Boston-based data and AI platform company founded in 2019, now 201–500 employees. The core product, Tetra OS, integrates three capabilities: a Scientific Data Foundry for data ingestion and governance, a Use Case Factory for workflow automation, and Tetra AI for agentic guidance and cross-domain insights. The platform targets biopharma R&D and manufacturing teams struggling with fragmented instrument data, siloed information systems, and manual decision-making. Engineering effort is concentrated on data schema and parser development, lakehouse architecture, and instrument connectivity—addressing the operational pain of consolidating heterogeneous lab and manufacturing data sources.

HeadquartersBoston, MA

Company Size201–500 employees

Founded2019

Hiring MarketsUnited States, Japan, Switzerland

Frequently Asked Questions

What tech stack does TetraScience use?

Databricks, Python, Snowflake, Delta Lake, Apache Spark, AWS (Lambda, Step Functions, Glue, RDS, DynamoDB, SQS), React, NVIDIA, and Apache Airflow. Infrastructure runs on AWS with IAM, KMS, GuardDuils, CloudTrail, and WAF for security.

Where is TetraScience headquartered and hiring?

Headquartered in Boston, MA. Currently hiring across the United States, Japan, and Switzerland.

How this profile is built

TetraScience's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.