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Aitia

Full company profile

uuid0000hcj

Namestring
Aitia
Legal namestring
Aitia
Websiteurl
aitiabio.com
Company typeenum
Private
Founded yearint
2000
Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersSomerville, United States
HQ citystring
Somerville
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
causal AI drug discovery, digital twins biotechnology, multiomics data analysis, pharmaceutical R&D AI, computational biology platform
Industry2 codes
1AI/ML Platforms for Drug Discovery & Experiment Optimization
CodeHLAGAJAOPrimaryYes
2AI/ML-Enabled Biologic Discovery Platforms (computational design, in silico screening)
CodeHLAAAIAEPrimaryNo
NAICS code3 codes
  • Research and Development in Biotechnology (except Nanobiotechnology)541714
  • Scientific Research and Development Services5417
  • Computer Systems Design and Related Services54151
SIC code2 codes
  • Services-Computer Integrated Systems Design7373
  • Services-Health Services8000
Product category
Drug Discovery Software
Social media profiles1 record
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Pharmaceutical Partnership Programs
TypeSubscription Recurring
Description

Aitia partners with biopharma companies to discover, develop, and test novel therapeutics using their Gemini Digital Twins platform. Revenue is generated through strategic partnerships that fuel differentiated and novel partnered programs across multiple disease areas with high unmet medical need.

aitia.com
Marketing channels3 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 record
1Gemini Digital Twins
Description

A causal AI-based platform for building in silico models of human disease biology using multiomics and clinical datasets to inform drug discovery and development.

aitia.com
Core offering1 text field

Aitia develops and operates the Gemini Digital Twins Platform, an in silico causal AI system that builds computational models of human disease biology from patient multiomics and clinical datasets. The platform is used in collaboration with biopharma partners to identify novel molecular intervention points and accelerate drug discovery and development across oncology, neurodegenerative, immunological, and cardiometabolic diseases.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 value
  • Reveals novel potential intervention points for drug discovery through causal understanding of molecular interactions causing diseases
Product overview1 text field

Aitia offers a single unified platform called the Gemini Digital Twins, which uses a causal AI reverse-engineering forward-simulation (REFS) engine combined with supercomputing power and massive patient multiomics and clinical datasets. This platform creates in silico models of human disease biology that drive drug discovery and development across the biopharma pipeline, including applications in oncology, neurodegenerative, immunological, and cardiometabolic diseases.

Product and service1 record
1Gemini Digital Twins Platform
CategoryDrug Discovery Software / Computational Biology Platform
Description

An in silico causal AI platform that builds digital twin models of human disease biology using the proprietary REFS engine, supercomputing power, and massive patient multiomics and clinical datasets. The platform is designed for biopharma partners to discover, develop, and test novel therapeutics across oncology, neurodegenerative, immunological, and cardiometabolic diseases by identifying novel molecular intervention points before expensive laboratory and clinical work.

Scale indicator1 record

Each record includes

Type, Value, Description, Source

Partnership1 partner
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-01-07
Description

Aitia and Gustave Roussy have joined forces to identify the fundamental biological causes of multiple human cancers. This partnership leverages Gustave Roussy's expertise in oncology research and patient data with Aitia's causal AI and Gemini Digital Twins platform to advance cancer research and drug discovery.

Recent move5 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight4 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

AI-driven drug discovery platform using high-throughput biology and machine learning to identify novel therapeutic candidates. Directly comparable to Aitia in applying AI/ML at scale to biopharma R&D, with overlapping target customers (pharma partners) and similar partnership-based business model.

TypeDirect peer
Description

Machine learning-driven drug discovery and development company combining high-throughput biology with ML models. Comparable to Aitia in using AI/ML for causal or predictive biological insight and in partnering with pharma on discovery programs.

TypeDirect peer
Description

AI-driven precision medicine company using its own AI platform to design and develop drug candidates, with major pharma partnerships (e.g., Sanofi, Bristol-Myers Squibb). Closely comparable in partnership-driven AI drug discovery model.

TypeDirect peer
Description

Alphabet-backed drug discovery company leveraging DeepMind's AI breakthroughs (notably AlphaFold) for computational drug design. Direct competitor applying cutting-edge AI to pharmaceutical R&D with strong pharma partnerships.

TypeDirect peer
Description

Physics-based computational platform for drug discovery and materials science with both software and internal drug programs. Comparable in providing computational/simulation-based drug discovery tools and serving biopharma customers.

TypeDirect peer
Description

AI drug discovery company applying machine learning to biomedical knowledge graphs for target identification. Comparable as a European-headquartered AI-driven pharma partner with a similar partnership-plus-pipeline model.

TypeDirect peer
Description

AI-driven small molecule drug design company using structure-based deep learning models. Comparable in applying AI to identify novel drug candidates and structure partnership deals with pharmaceutical companies.

TypeEmerging player
Description

AI and quantum physics-driven drug R&D company combining computational prediction with wet-lab validation. Comparable in its AI-plus-computation approach to pharma R&D, with significant Asia presence and growing global partnerships.

TypeEmerging player
Description

AI biotech using federated learning on patient multiomics and clinical data to develop therapeutics and diagnostics. Comparable in leveraging large-scale multiomics/clinical datasets for drug discovery, with pharma partnership revenue model.

10GNS Healthcare
TypeEmerging player
Description

Causal AI and simulation platform applied to oncology and other complex diseases, using patient data to model disease biology and drug response. Comparable in explicitly using causal AI for disease modeling and biopharma R&D applications.

Market position
Strengths4 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment5 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile1 record

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability3 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature3 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles5 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds10 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors11 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

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

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

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

Aitia

Drug Discovery Softwareaitiabio.com

Aitia firmographics

Firmographics
Name
Aitia
Legal name
Aitia
Website
https://aitiabio.com
Company type
Private
Founded year
2000
Operating status
Operating
Headcount range
11–50 employees
Ownership category
akta.pro rank

Aitia industry classification

Industry
Product category
Drug Discovery Software
NAICS
Research and Development in Biotechnology (except Nanobiotechnology) (541714), Scientific Research and Development Services (5417), Computer Systems Design and Related Services (54151)
SIC
Services-Computer Integrated Systems Design (7373), Services-Health Services (8000)
akta.pro primary industry
AI/ML Platforms for Drug Discovery & Experiment Optimization (HLAGAJAO)
akta.pro secondary industry
AI/ML-Enabled Biologic Discovery Platforms (computational design, in silico screening) (HLAAAIAE)

Keywords

  • Causal AI drug discovery
  • Digital twins biotechnology
  • Multiomics data analysis
  • Pharmaceutical R&D AI
  • Computational biology platform

Where Aitia is headquartered

Location

Headquarters

HQ city
Somerville
HQ country
United States
HQ region
North America

Offices1 record

Markets served

Aitia business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

  1. Pharmaceutical Partnership Programs: Aitia partners with biopharma companies to discover, develop, and test novel therapeutics using their Gemini Digital Twins platform. Revenue is generated through strategic partnerships that fuel differentiated and novel partnered programs across multiple disease areas with high unmet medical need.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels3 records

Aitia product offering

Product offering

Core offering

Aitia develops and operates the Gemini Digital Twins Platform, an in silico causal AI system that builds computational models of human disease biology from patient multiomics and clinical datasets. The platform is used in collaboration with biopharma partners to identify novel molecular intervention points and accelerate drug discovery and development across oncology, neurodegenerative, immunological, and cardiometabolic diseases.

Product overview

Aitia offers a single unified platform called the Gemini Digital Twins, which uses a causal AI reverse-engineering forward-simulation (REFS) engine combined with supercomputing power and massive patient multiomics and clinical datasets. This platform creates in silico models of human disease biology that drive drug discovery and development across the biopharma pipeline, including applications in oncology, neurodegenerative, immunological, and cardiometabolic diseases.

Differentiator

Problem solved

Functional benefit

Brands

  • Gemini Digital Twins: A causal AI-based platform for building in silico models of human disease biology using multiomics and clinical datasets to inform drug discovery and development.

Products and services

  • Gemini Digital Twins Platform An in silico causal AI platform that builds digital twin models of human disease biology using the proprietary REFS engine, supercomputing power, and massive patient multiomics and clinical datasets. The platform is designed for biopharma partners to discover, develop, and test novel therapeutics across oncology, neurodegenerative, immunological, and cardiometabolic diseases by identifying novel molecular intervention points before expensive laboratory and clinical work.

Quantifiable outcome

  • Reveals novel potential intervention points for drug discovery through causal understanding of molecular interactions causing diseases

Companies that use Aitia

Customer profile

Segments5 records

Ideal customer profiles1 record

Aitia technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability3 records

Feature3 records

Aitia partnerships and signals

Strategic signal

Partnerships

One partnership is on record.

  • Gustave RoussycoreStrategic or Co-development Partner · 7 January 2026Aitia and Gustave Roussy have joined forces to identify the fundamental biological causes of multiple human cancers. This partnership leverages Gustave Roussy's expertise in oncology research and patient data with Aitia's causal AI and Gemini Digital Twins platform to advance cancer research and drug discovery.

Scale indicators1 record

Recent moves5 records

Expansion highlights4 records

Aitia competitors and assessment

Company assessment

Direct peers

  • Recursion Pharmaceuticals: AI-driven drug discovery platform using high-throughput biology and machine learning to identify novel therapeutic candidates. Directly comparable to Aitia in applying AI/ML at scale to biopharma R&D, with overlapping target customers (pharma partners) and similar partnership-based business model.
  • Insitro: Machine learning-driven drug discovery and development company combining high-throughput biology with ML models. Comparable to Aitia in using AI/ML for causal or predictive biological insight and in partnering with pharma on discovery programs.
  • Exscientia: AI-driven precision medicine company using its own AI platform to design and develop drug candidates, with major pharma partnerships (e.g., Sanofi, Bristol-Myers Squibb). Closely comparable in partnership-driven AI drug discovery model.
  • Isomorphic Labs: Alphabet-backed drug discovery company leveraging DeepMind's AI breakthroughs (notably AlphaFold) for computational drug design. Direct competitor applying cutting-edge AI to pharmaceutical R&D with strong pharma partnerships.
  • Schrödinger: Physics-based computational platform for drug discovery and materials science with both software and internal drug programs. Comparable in providing computational/simulation-based drug discovery tools and serving biopharma customers.
  • BenevolentAI: AI drug discovery company applying machine learning to biomedical knowledge graphs for target identification. Comparable as a European-headquartered AI-driven pharma partner with a similar partnership-plus-pipeline model.
  • Atomwise: AI-driven small molecule drug design company using structure-based deep learning models. Comparable in applying AI to identify novel drug candidates and structure partnership deals with pharmaceutical companies.

Emerging players

  • XtalPi: AI and quantum physics-driven drug R&D company combining computational prediction with wet-lab validation. Comparable in its AI-plus-computation approach to pharma R&D, with significant Asia presence and growing global partnerships.
  • Owkin: AI biotech using federated learning on patient multiomics and clinical data to develop therapeutics and diagnostics. Comparable in leveraging large-scale multiomics/clinical datasets for drug discovery, with pharma partnership revenue model.
  • GNS Healthcare: Causal AI and simulation platform applied to oncology and other complex diseases, using patient data to model disease biology and drug response. Comparable in explicitly using causal AI for disease modeling and biopharma R&D applications.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

Aitia social profiles

Digital presence

Aitia financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Aitia leadership team

Management profile

Number of profiles

Profiles5 records

Aitia funding detail

Funding detail

Funding overview

Funding rounds10 records

Investors11 records

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

Aitia M&A and investment

M&A and investment

M&A

Investments

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

Frequently asked questions about Aitia

What does Aitia do?

Aitia develops and operates the Gemini Digital Twins Platform, an in silico causal AI system that builds computational models of human disease biology from patient multiomics and clinical datasets. The platform is used in collaboration with biopharma partners to identify novel molecular intervention points and accelerate drug discovery and development across oncology, neurodegenerative, immunological, and cardiometabolic diseases.

Is Aitia a public or private company?

Aitia is a private company. It is classified as venture growth investor backed and is currently operating.

When was Aitia founded?

Aitia was founded in 2000. It employs 11 to 50 people.

Where is Aitia based?

Aitia is headquartered in Somerville, United States, in the North America region.

How does Aitia make money?

One revenue line is on record: pharmaceutical Partnership Programs.

Who are Aitia's main competitors?

Direct peers on record are Recursion Pharmaceuticals, Insitro, Exscientia, Isomorphic Labs, Schrödinger, BenevolentAI and Atomwise. Emerging players are XtalPi, Owkin and GNS Healthcare.

Does Aitia have an API?

No public API is recorded for Aitia.

What industry is Aitia in?

Aitia's product category is Drug Discovery Software. Its primary akta.pro industry code is HLAGAJAO, AI/ML Platforms for Drug Discovery & Experiment Optimization, with a secondary code of HLAAAIAE, AI/ML-Enabled Biologic Discovery Platforms (computational design, in silico screening). Its NAICS code is 541714 and its SIC code is 7373.

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Live signals
The Pharma LetterOno Pharma inks discovery partnership with AitiaOno Pharmaceutical entered a drug discovery partnership with Aitia, which will use its AI-powered Gemini Digital Twin Platform to identify therapeutic targets and biomarkers for neurological diseases. Ono will have an exclusive worldwide option to research, develop, and commercialize candidates from Aitia's discoveries. No financial terms were disclosed.BioWorldOno and Aitia partner in neurological diseasesOno Pharmaceutical Co. Ltd. entered a drug discovery partnership with Aitia Inc. for neurological diseases. Aitia will use its causal AI-based REFS technology to build virtual patient models called Gemini Digital Twins, aiming to identify new therapeutic targets and biomarkers.Pharmaceutical TechnologyOno Pharmaceutical joins forces with Aitia for drug discovery in neurologyOno Pharmaceutical signed an agreement with Aitia to collaborate on drug discovery in neurological diseases, using Aitia's REFS technology to build digital twins of conditions. Ono will secure exclusive global rights to develop and commercialize candidates from this approach. The partnership aims to accelerate new treatments for complex neurological conditions.Dealroom.coOno Pharmaceutical partners with Aitia to hunt new brain-disease drug targets using causal AIOno Pharmaceutical signed a drug-discovery partnership with Aitia on 2 September 2026 to find new targets for neurological diseases. Aitia will build Gemini Digital Twins and use causal AI to identify targets, with Ono getting an exclusive worldwide option. Financial terms were not disclosed.EIN PresswireOno Pharma and Aitia Announce Collaboration to Identify Novel Drug Targets in Neurological DiseasesOno Pharma and Aitia announced a collaboration to discover novel neurological disease targets and develop new therapeutics. Aitia's AI-based Gemini Digital Twin Platform will be used to derisk discovery and development of Ono's pipeline programs.MorningstarOno Pharma Enters into a Drug Discovery Partnership with Aitia in Neurological DiseasesOno Pharma entered a drug discovery partnership with Aitia to use Aitia's causal AI-based Gemini Digital Twins to identify therapeutic targets in neurological diseases. Ono will have exclusive worldwide rights to develop and commercialize candidates from those targets. The collaboration aims to accelerate new treatments for complex neurological conditions.openPR.comArtificial Intelligence in Drug Discovery Market 2026- 2033 Overview: Share, Size, Value, Trends, and Key Player Forecast | IBM Corporation (IBM Watson Health), Exscientia, GNS Healthcare, AlphabetCoherent Market Insights published a market research report on the Artificial Intelligence in Drug Discovery sector, estimating the market will grow from USD 1,699.0 million in 2025 to USD 4,744.1 million by 2032, representing a compound annual growth rate of 15.8%. The report analyzes market segmentation by therapeutic space (including oncology, neurodegenerative, and cardiovascular diseases) and application areas such as drug optimization and preclinical testing. Key companies profiled in the competitive landscape include IBM Watson Health, Exscientia, Alphabet's DeepMind, Benevolent AI, Atomwise, and Insitro, among others.Business Wire BlogGNS Healthcare and Scipher Medicine® Collaborate to Develop World’s First in silico Patient for Rheumatoid ArthritisGNS Healthcare and Scipher Medicine announced a collaboration to develop Gemini, the world's first in silico patient model for rheumatoid arthritis. This digital simulation utilizes Scipher Medicine’s proprietary clinico-genomic data to help pharmaceutical companies understand treatment efficacy and optimize clinical trial designs.openPR.comArtificial Intelligence in Drug Discovery Market Generated Opportunities, Future Scope 2025-2032 | IBM Corporation (IBM Watson Health), Exscientia, GNS HealthcareThe AI in drug discovery market is projected to grow from USD 1,699.0 million in 2025 to USD 4,744.1 million by 2032, a CAGR of 15.8%. The report profiles key players including IBM Watson Health, Exscientia, and GNS Healthcare, and segments the market by therapeutic space and application.SciencedirectArtificial intelligence in preclinical research: enhancing digital twins and organ-on-chip to reduce animal testingThe article reviews the integration of artificial intelligence with digital twins and organ-on-chip technologies to enhance preclinical drug discovery and reduce reliance on animal testing. It highlights specific industry applications, such as Aitia's causal AI platform for disease modeling and Quris's Bio-AI Clinical Prediction Platform using patient-specific chips. The text notes that while these advancements offer ethical and efficiency benefits, challenges regarding regulatory validation, data bias, and biological complexity remain.