Netrias

What Netrias does

Netrias is a privately held AI company, organized as a Maryland LLC, that develops data harmonization technology for life sciences research. Founded in 2015 and operating from offices in Annapolis, North Bethesda, and Cambridge, MA, the company addresses the bottleneck of preparing multi-omics data (genomics, proteomics, metabolomics) for AI-driven analysis by offering automated, minimally curated data pipelines.

The company's product suite comprises three integrated modules: PathEngine, which rapidly curates multi-omics data into resilient research pipelines; the Combinatorial Design Model, which applies predictive modeling to guide scientific validation; and the Active Discovery Engine™, an automated workflow builder that streamlines end-to-end data curation. Netrias commercializes these capabilities through direct enterprise sales with a custom-quoted, subscription-oriented revenue model targeting life sciences organizations. Its go-to-market centers on a "Request a Demo" funnel and pilot-based engagement, with its most prominent reference being a collaboration with the AIRR Knowledge Commons that produced 2.5x faster curation and 53% lower cost.

In December 2025, Netrias joined the PREDICTS consortium under the ARPA-H CATALYST program alongside Deep Origin, Ginkgo Bioworks, and MIDO to advance drug safety and ADMET prediction through New Approach Methodologies. The company has not disclosed external funding rounds, revenue figures, or named senior leadership beyond contact information, and operates with a headcount of 1–10 employees.

Name

Netrias

Legal name

Netrias, LLC

Website

https://netrias.com

Company type

Private

Founded year

2015

Operating status

Operating

Headcount range

1–10 employees

Short description

Netrias is a privately held AI company that builds automated data harmonization technology for life sciences research, helping organizations prepare multi-omics data for AI analysis with minimal human curation.

Ownership category

akta.pro rank

Product category

Life Sciences Data Harmonization Software

NAICS

Software Publishers (5132), Computer Systems Design and Related Services (54151)

SIC

Services-Computer Processing & Data Preparation (7374), Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)

akta.pro secondary industries

Data Quality, Profiling & Cleansing (HDAEADAD), Database/Application Data Layer Modernization (DB migration, ORM, caching) (BPAEAFAL)

Keywords

• Life sciences data harmonization
• Multi-omics data curation
• AI data pipelines
• Automated data harmonization
• Drug safety prediction

Headquarters

HQ city

Arlington

HQ country

United States

HQ region

North America

Offices3 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure

Revenue model

1. AI Data Harmonization Solutions: Netrias provides AI-driven automated technology for harmonizing life sciences data, getting data AI-ready quickly with minimal human curation. Revenue is generated through solution licensing and implementation services to life sciences organizations.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels3 records

Core offering

Netrias provides AI-driven automated data harmonization software that makes life sciences data AI-ready rapidly and with minimal human curation. Its product portfolio consists of three integrated modules — PathEngine for multi-omics data pipeline curation, the Combinatorial Design Model for predictive modeling in scientific validation, and the Active Discovery Engine™ for end-to-end automated data curation workflows — sold to life sciences research organizations.

Product overview

Netrias offers a unified AI-driven data harmonization platform designed specifically for life sciences research. The product portfolio consists of three integrated modules: PathEngine for organizing multi-omics data through resilient pipelines, the Combinatorial Design Model for predictive modeling to guide scientific validation, and the Active Discovery Engine™ for end-to-end automated data curation. Together, these products work to transform raw scientific data into AI-ready formats with minimal human intervention, accelerating the scientific discovery process.

Differentiator

Problem solved

Functional benefit

Brands

• PathEngine: A product for robust multi-omics data organization that delivers a resilient data pipeline for life sciences research.
• Combinatorial Design Model
• Active Discovery Engine™

Products and services

• PathEngine

Quantifiable outcome

• 2.5x faster curation
• +1 more outcomes

Named customers1 record

Segments1 record

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability4 records

Feature3 records

Partnerships

Four partnerships are on record, tiered core and minor.

• Deep OrigincoreStrategic or Co-development PartnerDeep Origin leads the PREDICTS consortium under the ARPA-H CATALYST program. Netrias is a member of this consortium focused on advancing drug safety and ADMET prediction using New Approach Methodologies.
• Ginkgo BioworksminorStrategic or Co-development PartnerMember of the PREDICTS consortium under the ARPA-H CATALYST program, working alongside Deep Origin, Netrias, and MIDO on drug safety and ADMET prediction.
• MIDOminorStrategic or Co-development PartnerMember of the PREDICTS consortium under the ARPA-H CATALYST program, contributing to drug safety and ADMET prediction efforts.
• AIRR Knowledge CommonscoreStrategic or Co-development PartnerNetrias performed a pilot of its AI-Assisted Harmonization Technology with the Adaptive Immune Receptor Repertoire (AIRR) Knowledge Commons, demonstrating 2.5x faster curation and 53% lower cost.

Scale indicators2 records

Recent moves4 records

Expansion highlights4 records

Direct peers

• TetraScience: TetraScience provides a cloud-native data platform for life sciences R&D that harmonizes scientific data from instruments and lab systems. Directly comparable to Netrias in targeting the multi-omics and life sciences data harmonization bottleneck with an enterprise platform model.
• DNAnexus: DNAnexus operates a cloud-based genomic and biomedical data management and analysis platform. Comparable as a data harmonization and management platform purpose-built for life sciences, though focused more on genomics than multi-omics broadly.
• Deep Origin: Deep Origin leads the PREDICTS consortium that Netrias joined and builds AI tools for drug discovery and ADMET prediction. Comparable as a fellow AI-for-life-sciences platform focused on predictive modeling and data infrastructure for biotech R&D.

Broad incumbents

• Ginkgo Bioworks: Ginkgo Bioworks is a large, publicly traded synthetic biology platform that combines wet labs with AI/data infrastructure. It is a direct consortium partner with Netrias under ARPA-H CATALYST but operates at vastly greater scale, making it a broad incumbent in adjacent life sciences AI.
• Tempus AI: Tempus AI is a large-scale precision medicine data and analytics platform with extensive multi-omics and clinical data assets. Comparable as a data harmonization and AI platform for life sciences, but operating at a much broader scale across clinical and research use cases.
• Schrödinger: Schrödinger provides computational chemistry and predictive modeling software used widely in drug discovery. Comparable as an AI/ML platform powering life sciences R&D decisions, but operating at much broader scale and primarily in computational chemistry rather than data harmonization.

Emerging players

• Benchling: Benchling provides a cloud platform for life sciences R&D, including data management for biological experiments. Comparable in serving life sciences data infrastructure needs, though focused more on lab/experiment data than multi-omics harmonization specifically.
• Owkin: Owkin applies AI to biological and clinical data for drug discovery and clinical research. Comparable as an AI-platform company serving life sciences data harmonization and predictive use cases, though with a stronger clinical/trial focus.
• Insitro: Insitro is an AI-driven drug discovery company combining machine learning with biological data generation. Comparable in applying AI to large-scale life sciences data to accelerate discovery, though vertically integrated into therapeutics rather than selling data infrastructure.

Others

• Element Biosciences: Element Biosciences is a genomics instrumentation and multi-omics tools provider. Comparable as an enabling company in the multi-omics ecosystem whose instruments generate the type of data that Netrias' harmonization platform processes.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat3 records

Key risks5 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/netrias

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Netrias