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Predictive Oncology

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uuid0000h1v

Namestring
Predictive Oncology
Legal namestring
Predictive Oncology Inc.
Company typeenum
Public
Founded yearint
2002
Descriptiontext

Predictive Oncology, now operating as Axe Compute Inc. (NASDAQ: AGPU, formerly POAI), is an AI-driven drug discovery and clinical testing company serving biopharmaceutical companies, academic researchers, and oncologists. The company's core offering is the PEDAL (Patient-centric Drug Discovery by Active Learning) platform, which pairs the CORE™ machine learning engine — exclusively licensed from Carnegie Mellon University — with a proprietary biobank of over 150,000 tumor samples spanning 137 cancer types. The platform demonstrates 92% accuracy in predicting drug-tumor pairings and uses an active learning approach that reportedly reduces wet-lab experiments to ~3% of possible combinations while maintaining high prediction confidence. Supporting offerings include zPREDICTA 3D tumor models, Soluble Biotech protein formulation services, and the CLIA-certified Helomics clinical lab providing ChemoFx drug-response and BioSpeciFx biomarker testing.

The company monetizes through professional services: AI-driven drug discovery engagements (quote-based, multi-year enterprise contracts), 3D tumor model development and screening, protein solubility/formulation services, and clinical lab testing (tumor drug-response profiling capped at $615 per patient, with biomarker tests covered by Medicare/most insurers). Distribution is enterprise field sales-led for biopharma, supplemented by the no-cost ACE academic program, clinical lab orders from clinicians, and channel partnerships with Cancer Research Horizons and Labcorp. Headcount is 11–50 with offices in Pittsburgh (HQ) and Eagan, MN.

In 2025 the company executed a material strategic pivot, completing a $343.5 million PIPE financing in October to establish a Strategic Compute Reserve of Aethir (ATH) tokens and repositioning itself as an enterprise GPU infrastructure provider via the Aethir decentralized network. The company rebranded to Axe Compute Inc. in December 2025, executed a 1-for-15 reverse split in September 2025 to maintain Nasdaq compliance, and added DNA Ventures leadership. As of Q2 2026 the company reported 20+ enterprise customers and 30+ live GPU deployments under an expected monthly contract value of $850,000, while FY2025 legacy drug discovery revenue remained at $125,284 and the company reported a $232.9 million FY2025 net loss driven primarily by non-cash digital asset fair-value adjustments.

Short descriptiontext

Predictive Oncology (Axe Compute, NASDAQ: AGPU) is an AI-driven drug discovery company using its 150,000-sample tumor biobank and Carnegie Mellon–licensed CORE™ ML to predict drug-tumor responses for biopharma, academics, and clinicians. It recently pivoted into decentralized GPU compute infrastructure via Aethir.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersEagan, United States
HQ citystring
Eagan
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices2 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
AI drug discovery, oncology biobank, 3D tumor modeling, clinical biomarker testing, machine learning pharma
Industry3 codes
1AI/ML Platforms for Drug Discovery & Experiment Optimization
CodeHLAGAJAOPrimaryYes
2AI/ML-Enabled Biologic Discovery Platforms (computational design, in silico screening)
CodeHLAAAIAEPrimaryNo
3Oncology Diagnostics (tumor profiling, MRD, liquid biopsy)
CodeHLAAALAEPrimaryNo
NAICS code3 codes
  • Research and Development in Biotechnology (except Nanobiotechnology)541714
  • Scientific Research and Development Services5417
  • Medical and Diagnostic Laboratories62151
SIC code2 codes
  • Services-Commercial Physical & Biological Research8731
  • Services-Medical Laboratories8071
Product category
AI-Driven Oncology Drug Discovery
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model6 records
1Drug Discovery Services
TypeProfessional Services
Description

AI-driven oncology services including the PEDAL platform for biopharma partners to predict drug-tumor pairings and improve probability of technical success in drug development.

predictive-oncology.com
2Clinical Testing Services
TypeProfessional Services
Description

Tumor drug-response testing (ChemoFx) and genomic biomarker testing (BioSpeciFx) through CLIA-certified Helomics Clinical Laboratory for clinicians and patients.

predictive-oncology.com
33D Tumor Models
TypeProfessional Services
Description

Organ-specific 3D cell culture models and services for pharmaceutical/biotech drug screening and development, including custom model development.

predictive-oncology.com
4Solubility/Formulation Services
TypeProfessional Services
Description

Protein solubility and stability formulation services through Soluble Biotech for pharmaceutical and biotech companies.

predictive-oncology.com
5Vaccine Development Collaboration
TypeProfessional Services
Description

Collaboration with FluGen on stable intranasal flu vaccine development supported by $6.2M Phase 2B grant from U.S. Department of Defense.

globenewswire.com
6GPU Compute Infrastructure
TypeUsage Based
Description

Enterprise GPU infrastructure services through Aethir network for AI workloads, accessed via Strategic Compute Reserve of ATH tokens. New business segment launched September 2025, targeting enterprise customers in 2026.

globenewswire.com
Marketing channels6 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

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

Cost components6 values
Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure, Others
Pricing details3 tiers
1Tumor drug-response profiling capped at $615 per patient
ModelUnit PricingBilling cadenceOne time/ perpetual license
Notes

No patient will pay more than $615 for tumor drug-response profiling. A Compassionate Care Program is available for patients needing additional payment assistance.

predictive-oncology.com
2Biomarker/genomic tests covered by most insurers/Medicare
ModelSubscriptionBilling cadencePay-as-you-go
Notes

Panel of biomarker/genomic tests are covered by most insurers and Medicare, providing access to functional precision medicine.

predictive-oncology.com
3B2B drug discovery services - quote-based pricing
ModelOtherBilling cadenceMulti-year contract
Notes

Drug discovery services, 3D tumor models, and ACE program offerings are priced based on project scope and requirements. ACE program provides free access for qualifying academic institutions.

predictive-oncology.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 6 records shown
1Helomics
Description

CLIA-certified clinical laboratory offering tumor drug-response testing (ChemoFx) and genomic biomarker testing services

predictive-oncology.com
+5 more records
Core offering1 text field

Predictive Oncology develops and sells an AI/ML-driven drug discovery platform (PEDAL) that pairs a proprietary biobank of more than 150,000 tumor samples across 137 cancer types with an exclusively licensed Carnegie Mellon active-learning engine (CORE™) to predict drug-tumor responses, supplemented by 3D tumor models, CLIA-certified clinical testing (ChemoFx, BioSpeciFx), and protein formulation services (Soluble Biotech) for pharmaceutical and biotech customers. In late 2025 the company expanded into enterprise GPU compute infrastructure on the Aethir decentralized network as a parallel business line.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 5 values shown
  • 92% accuracy in predicting drug-tumor pairings
+4 more records
Product overview1 text field

Predictive Oncology operates a multi-product portfolio centered on AI-driven oncology drug discovery and clinical testing services. The core offering is the PEDAL platform, which combines proprietary machine learning (CORE™ engine from Carnegie Mellon) with a biobank of 150,000+ tumor samples to predict drug-tumor pairings with 92% accuracy. Supporting products include zPREDICTA 3D tumor models (r-Bone, r-Lung) for preclinical testing, the Helomics clinical laboratory offering ChemoFx drug-response testing and BioSpeciFx genomic biomarker analysis (CLIA-certified), and Soluble Biotech for protein formulation services. The ACE program provides academic researchers free access to the platform. Recent strategic expansion includes a digital asset treasury strategy and GPU compute infrastructure through the Aethir network partnership. The company rebranded to Axe Compute Inc. in late 2025 while maintaining its drug discovery operations.

Product and service7 records
1PEDAL (Patient-centric Drug Discovery by Active Learning)
CategoryAI-driven drug discovery platform
Description

AI/ML-driven drug discovery platform combining active machine learning with the company's proprietary biobank of 150,000+ tumor samples across 137 cancer types to predict drug-tumor pairings and accelerate oncology drug development for biopharma partners.

23D Tumor Models (zPREDICTA, including r-Bone and r-Lung)
Category3D in vitro tumor models / preclinical drug screening
Description

Human tumor and organ-specific in vitro 3D culture models, including r-Bone for bone marrow tissue and r-Lung for lung cancer, that mimic patient drug response with high correlation to clinical outcomes for pharmaceutical and biotech drug screening customers.

3ChemoFx (Tumor Drug-Response Testing)
CategoryClinical diagnostic testing
Description

Live-cell tumor drug-response testing service that determines how a patient's tumor responds to various chemotherapy options, ordered by clinicians through the Helomics CLIA-certified clinical laboratory.

4BioSpeciFx (Genomic Biomarker Testing)
CategoryClinical genomic diagnostic testing
Description

Genomic biomarker testing panel that analyzes cancer-related genetic markers to predict treatment response and disease progression, covered by most insurers and Medicare.

5Soluble Biotech Protein Formulation Services
CategoryPharmaceutical formulation services
Description

Protein solubility and stability optimization services using Self Interaction Chromatography combined with neural networks to accelerate drug and vaccine formulation development timelines from approximately one year to 3–4 months.

6Strategic Compute Reserve (Enterprise GPU Infrastructure via Aethir)
CategoryAI / GPU cloud infrastructure
Description

Enterprise GPU infrastructure service providing access to more than 435,000 GPUs across Aethir's decentralized cloud network for AI workloads, offered via usage-based pricing using ATH tokens.

7STREAMWAY (Automated Medical Fluid Management Device)
CategoryMedical devices
Description

Automated medical fluid management device product line that directly suctions and disposes of medical fluids for use in operating rooms and surgical environments, operated through Skyline Medical.

Scale indicator9 records

Each record includes

Type, Value, Description, Source

Partnership8 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-09-01
Description

Strategic collaboration to pursue drug repurposing for cancer patients using AI-driven analysis to identify new indications for existing drugs. Leverages POAI's biobank and machine learning capabilities.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2025-09-01
Description

Decentralized GPU cloud infrastructure platform partner for the Strategic Compute Reserve. Provides access to over 435,000 GPUs globally. ATH token treasury strategy positions company in AI infrastructure.

Strategic tierCoreTypeChannel Partner/ Reseller/ DistributorAnnounced on2025-06-01
Description

Developed functional 3D organoid models exclusively for Labcorp. Also partnership for liver toxicity models announced in Q2 2025. Labcorp is a leading global life sciences company.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2024-04-30
Description

Collaboration to develop a first-of-its-kind stable intranasal flu vaccine, supported by a $6.2 million Phase 2B grant from the U.S. Department of Defense. Companies are leveraging AI and biologics technology to improve vaccine stability for global distribution, with clinical trials ongoing.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2023-03-30
Description

Partnership to pursue novel methods to enhance gene editing capabilities for future cancer therapies. Collaboration focuses on engineering next generation gene writing tools to cure diseases.

Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2023-03-17
Description

Partnership with the world's largest private funder of cancer research to incorporate PEDAL platform into future drug discovery processes. Cancer Research Horizons has 11 marketed drugs, 150+ active licenses, and $647 million revenue from royalties & IP. Enables drug development on global scale.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2023-02-23
Description

Strategic partnership to create the first-ever genomics-based approach to precision radiation therapy and drug discovery using artificial intelligence. Combines Predictive Oncology's drug discovery and AI capabilities with Cvergenx's precision genomics radiation therapy platform.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Multi-year retrospective ovarian cancer study yielded compelling results leading to company's entry into biomarker discovery market. Demonstrated ability to predict patient outcomes and drug response.

Recent move10 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Preclinical oncology services company offering patient-derived xenograft models, 3D tumor models, and drug screening services. Comparable to Predictive Oncology's zPREDICTA 3D tumor models and Soluble Biotech formulation services for pharma/biotech customers.

TypeDirect peer
Description

Physics-based computational platform for drug discovery and materials science. Comparable in offering AI/ML-enabled molecular simulation and drug discovery software to pharmaceutical partners, with established enterprise customer base.

TypeDirect peer
Description

AI-driven oncology drug development company using machine learning to identify and develop cancer therapies. Comparable in applying AI to oncology drug discovery with focus on drug repurposing, smaller-cap peer with similar business model.

TypeBroad incumbent
Description

AI-powered precision medicine company with large-scale molecular and clinical data library for oncology. Overlaps with Predictive Oncology's biomarker discovery and clinical testing services, but operates at significantly larger scale across multiple therapeutic areas.

TypeBroad incumbent
Description

Decentralized GPU cloud infrastructure network that partnered with Predictive Oncology for the Strategic Compute Reserve. The ecosystem anchor for the company's new GPU infrastructure business line (Axe Compute), providing the underlying infrastructure and ATH token economy.

TypeDirect peer
Description

AI-driven predictive medicine platform testing drug combinations on patient-derived tumor samples to identify effective cancer treatments. Directly comparable to Helomics' ChemoFx drug-response testing service and PEDAL's predictive approach.

TypeDirect peer
Description

Machine learning-driven drug discovery company combining data generation with predictive models. Comparable in using proprietary biological data + AI to accelerate drug development, with strong pharma partnerships (Bristol-Myers Squibb, Eli Lilly).

TypeDirect peer
Description

AI-driven drug discovery platform combining high-throughput biology with machine learning to accelerate pharmaceutical R&D. Directly comparable to Predictive Oncology's PEDAL platform in applying ML to compound-target pairings, but at significantly larger scale with multiple pharma partnerships (Roche/Genentech, Bayer).

TypeDirect peer
Description

AI-native precision medicine company using end-to-end AI-driven drug discovery with patient-derived data. Comparable in applying machine learning to oncology drug discovery and clinical translation, with a similarly strong precision medicine focus.

TypeDirect peer
Description

Patient-derived xenograft (PDX) and tumor model services for oncology drug development. Comparable to Predictive Oncology's zPREDICTA 3D tumor models business, with similar customer base of biopharma companies needing preclinical testing platforms.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks7 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers6 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment3 records

Each record includes

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

Ideal customer profile4 records

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 capability6 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature7 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles10 records

Each record includes

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

Subsidiaries5 records

Each record includes

Name, Acquired on, Relationship type, Type, Business focus

Compliance2 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds12 records

Each record includes

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

Investors3 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&A4 records

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 →

Predictive Oncology

AI-Driven Oncology Drug Discoverypredictive-oncology.com

Predictive Oncology (Axe Compute, NASDAQ: AGPU) is an AI-driven drug discovery company using its 150,000-sample tumor biobank and Carnegie Mellon–licensed CORE™ ML to predict drug-tumor responses for biopharma, academics, and clinicians. It recently pivoted into decentralized GPU compute infrastructure via Aethir.

What Predictive Oncology does

Predictive Oncology, now operating as Axe Compute Inc. (NASDAQ: AGPU, formerly POAI), is an AI-driven drug discovery and clinical testing company serving biopharmaceutical companies, academic researchers, and oncologists. The company's core offering is the PEDAL (Patient-centric Drug Discovery by Active Learning) platform, which pairs the CORE™ machine learning engine — exclusively licensed from Carnegie Mellon University — with a proprietary biobank of over 150,000 tumor samples spanning 137 cancer types. The platform demonstrates 92% accuracy in predicting drug-tumor pairings and uses an active learning approach that reportedly reduces wet-lab experiments to ~3% of possible combinations while maintaining high prediction confidence. Supporting offerings include zPREDICTA 3D tumor models, Soluble Biotech protein formulation services, and the CLIA-certified Helomics clinical lab providing ChemoFx drug-response and BioSpeciFx biomarker testing.

The company monetizes through professional services: AI-driven drug discovery engagements (quote-based, multi-year enterprise contracts), 3D tumor model development and screening, protein solubility/formulation services, and clinical lab testing (tumor drug-response profiling capped at $615 per patient, with biomarker tests covered by Medicare/most insurers). Distribution is enterprise field sales-led for biopharma, supplemented by the no-cost ACE academic program, clinical lab orders from clinicians, and channel partnerships with Cancer Research Horizons and Labcorp. Headcount is 11–50 with offices in Pittsburgh (HQ) and Eagan, MN.

In 2025 the company executed a material strategic pivot, completing a $343.5 million PIPE financing in October to establish a Strategic Compute Reserve of Aethir (ATH) tokens and repositioning itself as an enterprise GPU infrastructure provider via the Aethir decentralized network. The company rebranded to Axe Compute Inc. in December 2025, executed a 1-for-15 reverse split in September 2025 to maintain Nasdaq compliance, and added DNA Ventures leadership. As of Q2 2026 the company reported 20+ enterprise customers and 30+ live GPU deployments under an expected monthly contract value of $850,000, while FY2025 legacy drug discovery revenue remained at $125,284 and the company reported a $232.9 million FY2025 net loss driven primarily by non-cash digital asset fair-value adjustments.

Predictive Oncology firmographics

Firmographics
Name
Predictive Oncology
Legal name
Predictive Oncology Inc.
Website
https://predictive-oncology.com
Company type
Public
Founded year
2002
Operating status
Operating
Headcount range
11–50 employees
Short description
Predictive Oncology (Axe Compute, NASDAQ: AGPU) is an AI-driven drug discovery company using its 150,000-sample tumor biobank and Carnegie Mellon–licensed CORE™ ML to predict drug-tumor responses for biopharma, academics, and clinicians. It recently pivoted into decentralized GPU compute infrastructure via Aethir.
Ownership category
akta.pro rank

Predictive Oncology industry classification

Industry
Product category
AI-Driven Oncology Drug Discovery
NAICS
Research and Development in Biotechnology (except Nanobiotechnology) (541714), Scientific Research and Development Services (5417), Medical and Diagnostic Laboratories (62151)
SIC
Services-Commercial Physical & Biological Research (8731), Services-Medical Laboratories (8071)
akta.pro primary industry
AI/ML Platforms for Drug Discovery & Experiment Optimization (HLAGAJAO)
akta.pro secondary industries
AI/ML-Enabled Biologic Discovery Platforms (computational design, in silico screening) (HLAAAIAE), Oncology Diagnostics (tumor profiling, MRD, liquid biopsy) (HLAAALAE)

Keywords

  • AI drug discovery
  • Oncology biobank
  • 3D tumor modeling
  • Clinical biomarker testing
  • Machine learning pharma

Where Predictive Oncology is headquartered

Location

Headquarters

HQ city
Eagan
HQ country
United States
HQ region
North America

Offices2 records

Markets served

Predictive Oncology business model

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

Revenue model

  1. Drug Discovery Services: AI-driven oncology services including the PEDAL platform for biopharma partners to predict drug-tumor pairings and improve probability of technical success in drug development.
  2. Clinical Testing Services: Tumor drug-response testing (ChemoFx) and genomic biomarker testing (BioSpeciFx) through CLIA-certified Helomics Clinical Laboratory for clinicians and patients.
  3. 3D Tumor Models: Organ-specific 3D cell culture models and services for pharmaceutical/biotech drug screening and development, including custom model development.
  4. Solubility/Formulation Services: Protein solubility and stability formulation services through Soluble Biotech for pharmaceutical and biotech companies.
  5. Vaccine Development Collaboration: Collaboration with FluGen on stable intranasal flu vaccine development supported by $6.2M Phase 2B grant from U.S. Department of Defense.
  6. GPU Compute Infrastructure: Enterprise GPU infrastructure services through Aethir network for AI workloads, accessed via Strategic Compute Reserve of ATH tokens. New business segment launched September 2025, targeting enterprise customers in 2026.

Pricing tiers

ModelBillingPrice
Unit PricingOne time/ perpetual licenseTumor drug-response profiling capped at $615 per patient
SubscriptionPay-as-you-goBiomarker/genomic tests covered by most insurers/Medicare
OtherMulti-year contractB2B drug discovery services - quote-based pricing

Go-to-market motion2 records

Distribution channels4 records

Marketing channels6 records

Predictive Oncology product offering

Product offering

Core offering

Predictive Oncology develops and sells an AI/ML-driven drug discovery platform (PEDAL) that pairs a proprietary biobank of more than 150,000 tumor samples across 137 cancer types with an exclusively licensed Carnegie Mellon active-learning engine (CORE™) to predict drug-tumor responses, supplemented by 3D tumor models, CLIA-certified clinical testing (ChemoFx, BioSpeciFx), and protein formulation services (Soluble Biotech) for pharmaceutical and biotech customers. In late 2025 the company expanded into enterprise GPU compute infrastructure on the Aethir decentralized network as a parallel business line.

Product overview

Predictive Oncology operates a multi-product portfolio centered on AI-driven oncology drug discovery and clinical testing services. The core offering is the PEDAL platform, which combines proprietary machine learning (CORE™ engine from Carnegie Mellon) with a biobank of 150,000+ tumor samples to predict drug-tumor pairings with 92% accuracy. Supporting products include zPREDICTA 3D tumor models (r-Bone, r-Lung) for preclinical testing, the Helomics clinical laboratory offering ChemoFx drug-response testing and BioSpeciFx genomic biomarker analysis (CLIA-certified), and Soluble Biotech for protein formulation services. The ACE program provides academic researchers free access to the platform. Recent strategic expansion includes a digital asset treasury strategy and GPU compute infrastructure through the Aethir network partnership. The company rebranded to Axe Compute Inc. in late 2025 while maintaining its drug discovery operations.

Differentiator

Problem solved

Functional benefit

Brands

  • Helomics: CLIA-certified clinical laboratory offering tumor drug-response testing (ChemoFx) and genomic biomarker testing services
  • PEDAL
  • zPREDICTA
  • Soluble Biotech
  • CORE
  • STREAMWAY

Products and services

  • PEDAL (Patient-centric Drug Discovery by Active Learning) AI/ML-driven drug discovery platform combining active machine learning with the company's proprietary biobank of 150,000+ tumor samples across 137 cancer types to predict drug-tumor pairings and accelerate oncology drug development for biopharma partners.
  • 3D Tumor Models (zPREDICTA, including r-Bone and r-Lung) Human tumor and organ-specific in vitro 3D culture models, including r-Bone for bone marrow tissue and r-Lung for lung cancer, that mimic patient drug response with high correlation to clinical outcomes for pharmaceutical and biotech drug screening customers.
  • ChemoFx (Tumor Drug-Response Testing) Live-cell tumor drug-response testing service that determines how a patient's tumor responds to various chemotherapy options, ordered by clinicians through the Helomics CLIA-certified clinical laboratory.
  • BioSpeciFx (Genomic Biomarker Testing) Genomic biomarker testing panel that analyzes cancer-related genetic markers to predict treatment response and disease progression, covered by most insurers and Medicare.
  • Soluble Biotech Protein Formulation Services Protein solubility and stability optimization services using Self Interaction Chromatography combined with neural networks to accelerate drug and vaccine formulation development timelines from approximately one year to 3–4 months.
  • Strategic Compute Reserve (Enterprise GPU Infrastructure via Aethir) Enterprise GPU infrastructure service providing access to more than 435,000 GPUs across Aethir's decentralized cloud network for AI workloads, offered via usage-based pricing using ATH tokens.
  • STREAMWAY (Automated Medical Fluid Management Device) Automated medical fluid management device product line that directly suctions and disposes of medical fluids for use in operating rooms and surgical environments, operated through Skyline Medical.

Quantifiable outcome

  • 92% accuracy in predicting drug-tumor pairings
  • +4 more outcomes

Companies that use Predictive Oncology

Customer profile

Named customers6 records

Segments3 records

Ideal customer profiles4 records

Predictive Oncology technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability6 records

Feature7 records

Predictive Oncology partnerships and signals

Strategic signal

Partnerships

Eight partnerships are on record, tiered core and flagship.

  • Every CurecoreStrategic or Co-development Partner · 1 September 2025Strategic collaboration to pursue drug repurposing for cancer patients using AI-driven analysis to identify new indications for existing drugs. Leverages POAI's biobank and machine learning capabilities.
  • AethircoreTechnology or Integration · 1 September 2025Decentralized GPU cloud infrastructure platform partner for the Strategic Compute Reserve. Provides access to over 435,000 GPUs globally. ATH token treasury strategy positions company in AI infrastructure.
  • LabcorpcoreChannel Partner/ Reseller/ Distributor · 1 June 2025Developed functional 3D organoid models exclusively for Labcorp. Also partnership for liver toxicity models announced in Q2 2025. Labcorp is a leading global life sciences company.
  • FluGencoreStrategic or Co-development Partner · 30 April 2024Collaboration to develop a first-of-its-kind stable intranasal flu vaccine, supported by a $6.2 million Phase 2B grant from the U.S. Department of Defense. Companies are leveraging AI and biologics technology to improve vaccine stability for global distribution, with clinical trials ongoing.
  • Integra TherapeuticscoreStrategic or Co-development Partner · 30 March 2023Partnership to pursue novel methods to enhance gene editing capabilities for future cancer therapies. Collaboration focuses on engineering next generation gene writing tools to cure diseases.
  • Cancer Research HorizonsflagshipStrategic or Co-development Partner · 17 March 2023Partnership with the world's largest private funder of cancer research to incorporate PEDAL platform into future drug discovery processes. Cancer Research Horizons has 11 marketed drugs, 150+ active licenses, and $647 million revenue from royalties & IP. Enables drug development on global scale.
  • CvergenxcoreStrategic or Co-development Partner · 23 February 2023Strategic partnership to create the first-ever genomics-based approach to precision radiation therapy and drug discovery using artificial intelligence. Combines Predictive Oncology's drug discovery and AI capabilities with Cvergenx's precision genomics radiation therapy platform.
  • UPMC Magee-Women's HospitalcoreStrategic or Co-development PartnerMulti-year retrospective ovarian cancer study yielded compelling results leading to company's entry into biomarker discovery market. Demonstrated ability to predict patient outcomes and drug response.

Scale indicators9 records

Recent moves10 records

Expansion highlights6 records

Predictive Oncology competitors and assessment

Company assessment

Direct peers

  • Crown Bioscience: Preclinical oncology services company offering patient-derived xenograft models, 3D tumor models, and drug screening services. Comparable to Predictive Oncology's zPREDICTA 3D tumor models and Soluble Biotech formulation services for pharma/biotech customers.
  • Schrödinger: Physics-based computational platform for drug discovery and materials science. Comparable in offering AI/ML-enabled molecular simulation and drug discovery software to pharmaceutical partners, with established enterprise customer base.
  • Lantern Pharma: AI-driven oncology drug development company using machine learning to identify and develop cancer therapies. Comparable in applying AI to oncology drug discovery with focus on drug repurposing, smaller-cap peer with similar business model.
  • Notable Labs: AI-driven predictive medicine platform testing drug combinations on patient-derived tumor samples to identify effective cancer treatments. Directly comparable to Helomics' ChemoFx drug-response testing service and PEDAL's predictive approach.
  • Insitro: Machine learning-driven drug discovery company combining data generation with predictive models. Comparable in using proprietary biological data + AI to accelerate drug development, with strong pharma partnerships (Bristol-Myers Squibb, Eli Lilly).
  • Recursion Pharmaceuticals: AI-driven drug discovery platform combining high-throughput biology with machine learning to accelerate pharmaceutical R&D. Directly comparable to Predictive Oncology's PEDAL platform in applying ML to compound-target pairings, but at significantly larger scale with multiple pharma partnerships (Roche/Genentech, Bayer).
  • Exscientia: AI-native precision medicine company using end-to-end AI-driven drug discovery with patient-derived data. Comparable in applying machine learning to oncology drug discovery and clinical translation, with a similarly strong precision medicine focus.
  • Champions Oncology: Patient-derived xenograft (PDX) and tumor model services for oncology drug development. Comparable to Predictive Oncology's zPREDICTA 3D tumor models business, with similar customer base of biopharma companies needing preclinical testing platforms.

Broad incumbents

  • Tempus Labs: AI-powered precision medicine company with large-scale molecular and clinical data library for oncology. Overlaps with Predictive Oncology's biomarker discovery and clinical testing services, but operates at significantly larger scale across multiple therapeutic areas.
  • Aethir: Decentralized GPU cloud infrastructure network that partnered with Predictive Oncology for the Strategic Compute Reserve. The ecosystem anchor for the company's new GPU infrastructure business line (Axe Compute), providing the underlying infrastructure and ATH token economy.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks7 records

Key highlights6 records

Customer concentration

Predictive Oncology social profiles

Digital presence

Predictive Oncology compliance and trust

Trust signal

Compliance2 records

Predictive Oncology financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Predictive Oncology leadership team

Management profile

Number of profiles

Profiles10 records

Predictive Oncology subsidiaries and ownership

Company hierarchy

Subsidiaries5 records

Predictive Oncology funding detail

Funding detail

Funding overview

Funding rounds12 records

Investors3 records

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Predictive Oncology M&A and investment

M&A and investment

M&A4 records

Investments

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

Frequently asked questions about Predictive Oncology

What does Predictive Oncology do?

Predictive Oncology develops and sells an AI/ML-driven drug discovery platform (PEDAL) that pairs a proprietary biobank of more than 150,000 tumor samples across 137 cancer types with an exclusively licensed Carnegie Mellon active-learning engine (CORE™) to predict drug-tumor responses, supplemented by 3D tumor models, CLIA-certified clinical testing (ChemoFx, BioSpeciFx), and protein formulation services (Soluble Biotech) for pharmaceutical and biotech customers. In late 2025 the company expanded into enterprise GPU compute infrastructure on the Aethir decentralized network as a parallel business line.

Is Predictive Oncology a public or private company?

Predictive Oncology is a public company. It is classified as public and is currently operating.

When was Predictive Oncology founded?

Predictive Oncology was founded in 2002. It employs 11 to 50 people.

Where is Predictive Oncology based?

Predictive Oncology is headquartered in Eagan, United States, in the North America region.

How does Predictive Oncology make money?

Six revenue lines are on record. Drug Discovery Services are the primary driver. The others are clinical Testing Services, 3D Tumor Models, solubility/Formulation Services, vaccine Development Collaboration and GPU Compute Infrastructure.

Who are Predictive Oncology's main competitors?

Direct peers on record are Crown Bioscience, Schrödinger, Lantern Pharma, Notable Labs, Insitro, Recursion Pharmaceuticals, Exscientia and Champions Oncology. Broad incumbents are Tempus Labs and Aethir.

Does Predictive Oncology have an API?

No public API is recorded for Predictive Oncology.

What industry is Predictive Oncology in?

Predictive Oncology's product category is AI-Driven Oncology Drug Discovery. 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 8731.

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Live signals
Markets DailyPredictive Oncology (NASDAQ:POAI) Shares Break Above 50 Day Moving Average – Should You Sell?Predictive Oncology shares traded above their 50-day moving average on Monday, reaching $12.50 from a $10.18 average. The biotech company, which applies AI to oncology drug discovery, has a market cap of $41.71 million and a P/E ratio of -0.91.American Banking and Market NewsCritical Analysis: Predictive Oncology (NASDAQ:POAI) vs. DigitalOcean (NYSE:DOCN)DigitalOcean outperforms Predictive Oncology on 13 of 15 factors, including revenue, earnings, and analyst ratings. DigitalOcean's consensus price target is $152.81, implying 9.08% upside, while Predictive Oncology trades at a lower P/E but higher volatility.Markets DailyContrasting Predictive Oncology (NASDAQ:POAI) and GoDaddy (NYSE:GDDY)GoDaddy outperforms Predictive Oncology on 11 of 14 factors, including higher revenue, earnings, and institutional ownership. Analysts rate GoDaddy more favorably with a consensus target price of $110.69, implying 13.97% upside. Predictive Oncology trades at a lower P/E but is unprofitable.Ticker ReportSoluna (NASDAQ:SLNH) versus Predictive Oncology (NASDAQ:POAI) Critical ReviewSoluna Holdings and Predictive Oncology are compared on profitability, volatility, and analyst ratings. Soluna beats Predictive Oncology on 11 of 14 factors, with a consensus target price of $4.00 implying 233.33% upside. Predictive Oncology has higher earnings but lower revenue.American City Business JournalsPittsburgh biotech firm pivots to AI compute servicesPittsburgh-based Predictive Oncology has rebranded and pivoted its business model to focus on owning and operating AI compute services in data centers. The company anticipates achieving an annual revenue run rate of nearly $700 million through this strategic shift away from its previous biotech operations.Defense WorldPromising Small Cap Stocks To Add to Your Watchlist – April 22ndMarketBeat's stock screener tool identified POET Technologies, AltC Acquisition, and Predictive Oncology as the three small-cap stocks with the highest dollar trading volume to watch on April 22nd. POET Technologies designs and manufactures opto-electronic solutions across Canada, the United States, Singapore, and China using its proprietary Optical Interposer platform. AltC Acquisition intends to pursue a merger or business combination with other companies, while Predictive Oncology focuses on AI-driven personalized cancer therapies in the United States.Defense WorldPredictive Oncology (NASDAQ:AGPU) and MiniMed Group (NASDAQ:MMED) Critical ContrastThis article compares two NASDAQ-listed medical device companies, MiniMed Group and Predictive Oncology, across nine financial and operational metrics. MiniMed Group significantly outperforms Predictive Oncology, posting $2.99 billion in revenue versus $120,000, and beating Predictive Oncology on eight of nine comparison factors including analyst ratings and institutional ownership. The comparison also includes detailed corporate profiles of both companies' products and market positions.MarketBeatTop Manufacturing Stocks To Consider - April 22ndThe article lists Taiwan Semiconductor Manufacturing, Applied Materials, Predictive Oncology, Otis Worldwide, and Elong Power as notable manufacturing stocks to watch. It describes each company's principal activities in semiconductor manufacturing, industrial equipment, and other sectors.Defense WorldMiniMed Group (NASDAQ:MMED) and Predictive Oncology (NASDAQ:AGPU) Critical SurveyThis article is a comparative stock analysis between MiniMed Group (NASDAQ:MMED) and Predictive Oncology (NASDAQ:AGPU), two medical technology companies. The analysis compares multiple financial and market metrics, including institutional ownership, valuation, earnings, analyst recommendations, and profitability, ultimately concluding that MiniMed Group outperforms Predictive Oncology on 8 of 9 comparison factors. MiniMed Group, a diabetes technology company, generated $2.89 billion in revenue and maintains a consensus price target of $22.45 (suggesting 55.50% upside), while Predictive Oncology reported $120,000 in revenue with negative earnings of -$233.10 million.Defense WorldComparing Predictive Oncology (NASDAQ:POAI) & Patient Portal Technologies (OTCMKTS:PPRG)This article compares two medical companies, Predictive Oncology (NASDAQ:POAI) and Patient Portal Technologies (OTCMKTS:PPRG), across financial metrics including profitability, valuation, institutional ownership, and analyst recommendations. Predictive Oncology reported $1.66 million in revenue but posted a net loss of $12.66 million with negative margins across all profitability measures, while Patient Portal Technologies shows lower revenue but higher earnings relative to Predictive Oncology. Analysts rate Patient Portal Technologies as having higher potential upside compared to Predictive Oncology, which carries a 'Sell' rating with no buy recommendations.