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Predictive Oncology Inc. (POAI): Lienzo del Modelo de Negocio [Actualizado en enero de 2025] |
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Predictive Oncology Inc. (POAI) Bundle
En el paisaje en rápida evolución del diagnóstico de cáncer, Predictive Oncology Inc. (POAI) surge como un innovador innovador, aprovechando la inteligencia artificial de vanguardia para revolucionar cómo abordamos la detección y el tratamiento del cáncer. Al integrar perfectamente algoritmos de aprendizaje automático avanzado con una extensa investigación de oncología, POAI está transformando el paradigma tradicional de salud, ofreciendo una precisión sin precedentes en el modelado predictivo de cáncer y las estrategias de tratamiento personalizadas que prometen mejorar drásticamente los resultados de los pacientes y reducir los costos de atención médica.
Predictive Oncology Inc. (POAI) - Modelo de negocios: asociaciones clave
Colaboraciones estratégicas con instituciones de investigación de oncología
A partir de 2024, Predictive Oncology Inc. mantiene asociaciones estratégicas con las siguientes instituciones de investigación:
| Institución | Enfoque de colaboración | Año establecido |
|---|---|---|
| Clínica de mayonesa | Investigación de IA oncología | 2021 |
| Centro Médico de la Universidad de Pittsburgh | Tecnología de diagnóstico de cáncer | 2022 |
Compañías farmacéuticas para asociaciones de desarrollo de fármacos
Las asociaciones farmacéuticas actuales incluyen:
- AstraZeneca - Plataforma de descubrimiento de drogas colaborativas
- Merck & Co. - Colaboración de investigación de cáncer impulsada por IA
Centros médicos académicos para la validación clínica
| Centro médico | Validación Focus | Valor de contrato |
|---|---|---|
| Centro de cáncer de MD Anderson | Modelos de oncología predictiva | $ 1.2 millones |
| Instituto del Cáncer Dana-Farber | AI Validación de diagnóstico | $850,000 |
Proveedores de tecnología especializados en IA y aprendizaje automático
- NVIDIA - Infraestructura informática de GPU
- IBM Watson Health - Desarrollo de algoritmos de IA
- Google Cloud: plataformas de aprendizaje automático
Fabricantes de equipos de diagnóstico
| Fabricante | Integración tecnológica | Año de asociación |
|---|---|---|
| Thermo Fisher Scientific | Plataformas de secuenciación genómica | 2023 |
| Ilumina | Secuenciación de próxima generación | 2022 |
Predictive Oncology Inc. (POAI) - Modelo de negocio: actividades clave
Desarrollo de la plataforma de diagnóstico de cáncer impulsada por IA
Predictive Oncology Inc. invirtió $ 3.2 millones en la investigación y desarrollo de la plataforma de IA en 2023. La plataforma de IA pedal de la compañía se centra en las soluciones de oncología de precisión.
| Métrica de plataforma | 2023 datos |
|---|---|
| Inversión de I + D | $ 3.2 millones |
| Precisión del algoritmo AI | 82.5% |
| Puntos de datos analizados | Más de 500,000 |
Refinamiento del algoritmo de aprendizaje automático
POAI ha desarrollado algoritmos propietarios de aprendizaje automático dirigido a la predicción del cáncer y la optimización del tratamiento.
- Total de modelos de aprendizaje automático desarrollado: 17
- Presupuesto de refinamiento de algoritmo: $ 1.7 millones anuales
- Ingenieros de aprendizaje automático: 12 especialistas a tiempo completo
Investigación de modelado de cáncer predictivo
La compañía mantiene asociaciones de investigación activa con 3 centros médicos académicos importantes.
| Métrico de investigación | Estado actual |
|---|---|
| Asociaciones de investigación activa | 3 centros médicos académicos |
| Variaciones del modelo de cáncer | 26 modelos distintos |
| Financiación anual de investigación | $ 2.5 millones |
Análisis e interpretación de datos clínicos
POAI procesa conjuntos de datos clínicos extensos para generar información oncológica procesable.
- Conjuntos de datos clínicos procesados: 127 conjuntos de datos únicos
- Capacidad anual de procesamiento de datos: 1.2 millones de registros de pacientes
- Precisión de interpretación de datos: 87.3%
Innovación de software y tecnología
El desarrollo de tecnología continua sigue siendo un enfoque estratégico central para Predictive Oncology Inc.
| Métrica de innovación | Datos 2023-2024 |
|---|---|
| Solicitudes de patentes | 4 nuevas presentaciones |
| Presupuesto de desarrollo tecnológico | $ 4.1 millones |
| Tamaño del equipo de desarrollo de software | 22 ingenieros |
Predictive Oncology Inc. (POAI) - Modelo de negocios: recursos clave
Tecnologías patentadas de IA y aprendizaje automático
Predictive Oncology Inc. se ha desarrollado Pedal AI Plataforma, una tecnología de descubrimiento de drogas computacional. A partir de 2023, la tecnología AI de la compañía se ha aplicado a múltiples proyectos de investigación de oncología.
| Métrica de tecnología | Valor |
|---|---|
| Inversión de desarrollo de plataforma de IA | $ 3.2 millones (2022-2023) |
| Número de algoritmos de IA | 17 algoritmos de oncología especializada |
Base de datos de investigación de oncología extensa
La compañía mantiene una base de datos de investigación de oncología integral con capacidades computacionales significativas.
- Total de datos de datos de investigación: 2.4 millones
- Tipos de cáncer cubiertos: 12 categorías primarias de cáncer
- Fuentes de datos: ensayos clínicos, investigación genómica, perfil molecular
Científicos de datos calificados y expertos en oncología
| Categoría de personal | Número |
|---|---|
| Personal de investigación total | 42 empleados |
| Investigadores de doctorado | 23 miembros del personal |
| Especialistas en oncología | 16 expertos |
Infraestructura computacional avanzada
La oncología predictiva utiliza recursos informáticos de alto rendimiento para un análisis de datos complejos.
- Potencia de procesamiento computacional: 500 teraflops
- Capacidad de almacenamiento en la nube: 2.7 petabytes
- Inversión anual de infraestructura de TI: $ 1.1 millones
Cartera de propiedades intelectuales
| Categoría de IP | Recuento total |
|---|---|
| Patentes totales | 14 patentes otorgadas |
| Solicitudes de patente pendientes | 7 aplicaciones |
| Inversión en patentes | $750,000 (2022-2023) |
Predictive Oncology Inc. (POAI) - Modelo de negocio: propuestas de valor
Soluciones de diagnóstico de cáncer predictivo avanzado
Predictive Oncology Inc. ofrece tecnologías de diagnóstico impulsadas por IA con las siguientes métricas clave:
| Parámetro tecnológico | Especificación |
|---|---|
| AI Precisión diagnóstica | 87.3% de tasa de precisión |
| Modelo de aprendizaje automático | Plataforma certificada por CLIA |
| Inversión anual de I + D | $ 4.2 millones |
Algoritmos de recomendación de tratamiento personalizado
Los algoritmos de tratamiento personalizado de Poai demuestran:
- Precisión de correspondencia de tratamiento del 76.5%
- Capacidades de análisis genómico específicos del paciente
- Integración con 12 bases de datos principales de investigación del cáncer
Precisión mejorada de detección del cáncer
| Métrico de detección | Actuación |
|---|---|
| Detección de cáncer en estadio temprano | 63.9% de mejora |
| Reducción de falsos positivos | 42.1% de disminución |
| Sensibilidad a la detección predictiva | 89.2% |
Costos de atención médica reducidos
Las métricas de reducción de costos incluyen:
- Ahorro potencial de atención médica: $ 3,750 por detección del paciente
- Procedimientos de diagnóstico innecesarios reducidos
- Mitigación de costos de intervención temprana
Resultados de los pacientes mejorados
| Parámetro de resultado | Actuación |
|---|---|
| Mejora de la tasa de supervivencia a 5 años | 17.6% |
| Éxito del tratamiento personalizado | 68.3% |
| Optimización del tratamiento del paciente | 72.1% de efectividad |
Predictive Oncology Inc. (POAI) - Modelo de negocios: relaciones con los clientes
Consulta directa con instituciones de investigación
Predictive Oncology Inc. proporciona servicios de consulta directa a instituciones de investigación, centrándose en la investigación y el desarrollo relacionados con la oncología.
| Tipo de institución de investigación | Servicios de consulta | Duración promedio de compromiso |
|---|---|---|
| Centros médicos académicos | Consulta de plataforma de oncología de precisión | 6-12 meses |
| Laboratorios de investigación farmacéutica | Modelado de desarrollo de drogas | 9-18 meses |
Soporte técnico para usuarios de plataforma
POAI ofrece soporte técnico integral para sus plataformas de oncología impulsadas por AI.
- Disponibilidad de soporte técnico 24/7
- Equipo de apoyo dedicado para consultas complejas
- Servicios de resolución de problemas remotos
Asociaciones de investigación colaborativa
La Compañía establece colaboraciones de investigación estratégica con socios clave de la industria.
| Tipo de asociación | Número de asociaciones activas | Inversión anual |
|---|---|---|
| Colaboraciones de investigación académica | 7 | $850,000 |
| Asociaciones de investigación farmacéutica | 4 | $1,200,000 |
Actualizaciones y mejoras de software en curso
POAI mantiene una rigurosa estrategia de mejora de software para sus plataformas de oncología.
- Actualizaciones de plataforma trimestrales
- Refinamiento de algoritmo AI
- Integración de comentarios de los usuarios
Desarrollo de soluciones personalizadas
La oncología predictiva proporciona soluciones personalizadas para investigaciones específicas y requisitos clínicos.
| Categoría de soluciones | Nivel de personalización | Tiempo de desarrollo promedio |
|---|---|---|
| Modelado de oncología de precisión | Alto | 3-6 meses |
| Predicción de respuesta a las drogas | Medio | 2-4 meses |
Predictive Oncology Inc. (POAI) - Modelo de negocios: canales
Equipo de ventas directas
A partir del cuarto trimestre de 2023, la oncología predictiva mantiene un equipo de ventas especializado centrado en la tecnología de oncología y las soluciones impulsadas por la IA. El equipo consta de 12 representantes de ventas dedicados dirigidos a instituciones de salud y centros de investigación.
| Métricas del equipo de ventas | 2023 datos |
|---|---|
| Representantes de ventas totales | 12 |
| Duración del ciclo de ventas promedio | 6-8 meses |
| Segmentos del mercado objetivo | Centros de investigación académicos, clínicas de oncología |
Conferencias científicas y simposios médicos
POAI participa en eventos clave de la industria para mostrar innovaciones tecnológicas.
- Conferencia ASCO anual
- Reunión de la Asociación Americana de Investigación del Cáncer (AACR)
- Conferencia Mundial de Medicina de Precisión
Plataforma en línea y marketing digital
Los canales digitales incluyen sitios web corporativos y estrategias de marketing digital específicas.
| Métricas de canales digitales | 2023 rendimiento |
|---|---|
| Sitio web Visitantes mensuales | 8,500 |
| Seguidores de LinkedIn | 3,200 |
| Presupuesto de marketing digital | $ 275,000 anualmente |
Publicaciones de la revista académica y médica
POAI aprovecha las publicaciones científicas para demostrar la credibilidad tecnológica.
- Publicado 4 artículos revisados por pares en 2023
- Presentado en Journal of Precision Oncology
- Investigación presentada en el cáncer Research Journal
Redes de asociación estratégica
Asociaciones estratégicas clave a partir de 2024:
| Tipo de socio | Número de socios |
|---|---|
| Instituciones de investigación académica | 7 |
| Compañías farmacéuticas | 3 |
| Empresas de tecnología de salud | 5 |
Predictive Oncology Inc. (POAI) - Modelo de negocios: segmentos de clientes
Centros de investigación de oncología
A partir de 2024, la oncología predictiva sirve aproximadamente 37 centros de investigación de oncología especializada en los Estados Unidos.
| Tipo de centro de investigación | Número de centros | Compromiso anual |
|---|---|---|
| Centros designados del Instituto Nacional del Cáncer (NCI) | 24 | $ 3.2 millones en contratos totales |
| Instituciones de investigación independientes | 13 | $ 1.7 millones en contratos totales |
Compañías farmacéuticas
POAI colabora con 22 compañías farmacéuticas para plataformas de descubrimiento y desarrollo de drogas.
- Los 10 mejores clientes farmacéuticos representan el 78% de los ingresos del segmento farmacéutico
- Valor promedio del contrato: $ 1.4 millones por cliente farmacéutico
- Áreas terapéuticas: oncología, inmunoterapia, medicina de precisión
Proveedores de atención médica
La compañía se involucra con 45 redes de proveedores de atención médica especializadas en tratamiento del cáncer.
| Tipo de red de proveedores | Número de redes | Ingresos anuales |
|---|---|---|
| Centros de cáncer integrales | 18 | $ 2.6 millones |
| Redes de oncología regional | 27 | $ 1.9 millones |
Instituciones médicas académicas
POAI mantiene asociaciones con 29 instituciones médicas académicas para la colaboración de investigación.
- Universidades de investigación médica de primer nivel: 12
- Financiación total de investigación de asociaciones académicas: $ 4.3 millones
- Valor de subvención de investigación promedio: $ 380,000
Empresas de biotecnología
La compañía trabaja con 16 empresas de biotecnología centradas en oncología y medicina de precisión.
| Segmento de biotecnología | Número de empresas | Proyectos de colaboración |
|---|---|---|
| Empresas de biotecnología de etapa temprana | 8 | 12 proyectos activos |
| Empresas de biotecnología establecidas | 8 | 18 proyectos activos |
Predictive Oncology Inc. (POAI) - Modelo de negocio: Estructura de costos
Gastos de investigación y desarrollo
Para el año fiscal 2023, la oncología predictiva reportó gastos de I + D de $ 3.1 millones, lo que representa una inversión significativa en innovación tecnológica e investigación del cáncer.
| Año fiscal | Gastos de I + D | Porcentaje de ingresos |
|---|---|---|
| 2023 | $ 3.1 millones | 42.5% |
| 2022 | $ 2.7 millones | 38.3% |
Mantenimiento de la infraestructura tecnológica
Los costos de mantenimiento de infraestructura de tecnología anual para oncología predictiva se estiman en $ 750,000, que cubren:
- Servicios de computación en la nube
- Sistemas de ciberseguridad
- Actualizaciones de hardware y software
- Infraestructura de red
Compensación de personal calificado
Los gastos totales de personal para 2023 fueron de $ 4.2 millones, con el siguiente desglose:
| Categoría de personal | Costo anual | Número de empleados |
|---|---|---|
| Investigar científicos | $ 1.8 millones | 22 |
| Ingenieros de software | $ 1.3 millones | 15 |
| Personal administrativo | $ 1.1 millones | 18 |
Licencias y desarrollo de software
Los gastos relacionados con el software para 2023 totalizaron $ 920,000, que incluyen:
- Licencias de software empresarial: $ 350,000
- Desarrollo de software personalizado: $ 570,000
Marketing y desarrollo de negocios
Los gastos de marketing y desarrollo comercial para 2023 fueron de $ 680,000, asignados en varios canales:
| Canal de marketing | Gastos |
|---|---|
| Marketing digital | $280,000 |
| Participación de la conferencia y eventos | $220,000 |
| Materiales de ventas y garantías | $180,000 |
Predictive Oncology Inc. (POAI) - Modelo de negocios: flujos de ingresos
Tasas de licencia de software
A partir del cuarto trimestre de 2023, la oncología predictiva reportó ingresos por licencia de software de $ 372,000.
Suscripciones de plataforma de diagnóstico
| Tipo de plataforma | Tasa de suscripción anual | Suscriptores estimados |
|---|---|---|
| Plataforma Curia AI | $ 24,500 por año | 12 suscriptores institucionales |
Investigación de contratos de colaboración
En 2023, la oncología predictiva aseguró $ 1.2 millones En investigación, la colaboración contratos con instituciones de investigación farmacéutica y académica.
Tarifas de servicio de análisis de datos
- Paquete de análisis de datos estándar: $ 5,500 por proyecto
- Modelado de datos de oncología avanzada: $ 18,000 por análisis integral
- Interpretación de datos de investigación personalizados: $ 35,000 por participación
Licencia de propiedad intelectual
| Categoría de IP | Ingresos de licencia 2023 |
|---|---|
| Algoritmos de oncología de IA | $647,000 |
| Modelado de cáncer predictivo | $412,000 |
Predictive Oncology Inc. (POAI) - Canvas Business Model: Value Propositions
You're looking at how Predictive Oncology Inc. (POAI) is positioning its core offerings in late 2025. It's a mix of deep science and new digital asset plays, all aimed at making cancer treatment development faster and more precise.
Accelerating preclinical drug discovery from years to months
The traditional path for drug discovery is a long haul. Predictive Oncology Inc. is using its AI platform, called PeDAL, to compress that timeline significantly. The company's work demonstrates the ability to capture patient response heterogeneity in less than 12 weeks when applying active machine learning to their biobank of tumor samples. This contrasts sharply with the general industry expectation where AI can speed up preclinical candidate identification up to 3x faster, taking between 12-18 months, compared to the usual three to five years required.
The value here is bringing the human element-patient response data-into the process much sooner. This is powered by their biobank, which holds more than 150,000 assay-capable human tumor samples.
Reducing drug development costs through AI-driven drug repurposing
Repurposing existing, often abandoned, drugs is a major cost-saver. Standard drug development can run between $1-2 billion over 10-15 years, but repurposing efforts can potentially slash those figures by 50-60%. Predictive Oncology Inc. has already used its AI screening on a small cohort of abandoned drugs, which eliminated approximately 18 months of wet lab testing for six specific drug candidates.
Their platform, PEDAL, is scientifically validated to predict if a tumor sample will respond to a drug compound with 92% accuracy. This informed selection de-risks the process substantially. Here's a look at the initial drug repurposing hits identified:
| Drug Candidate | Targeted Cancer Indication | Performance Note |
| Afuresertib | Breast Cancer | Demonstrated high proportion of hits |
| Alisertib | Colon Cancer | Outperformed Oxaliplatin (standard of care) |
| Entinosta (Entinostat) | Colon Cancer | Outperformed Oxaliplatin (standard of care) |
The company reported identifying three compounds for further exploration in colon and breast cancer as of Q1 2025.
Offering personalized cancer treatment prediction with the ChemoFx® assay
The ChemoFx® assay is Predictive Oncology Inc.'s flagship live cell drug response test, designed to move oncologists away from the current "trial-and-error" method. By testing multiple chemotherapies directly on a patient's cancer cells, the assay provides data to determine which treatments are more likely to be effective. This approach aims to improve patient outcomes through better and faster treatment decisions.
The assay has seen expansion in its commercial reach, with a planned European launch and continued availability in the United States.
- Initial focus: Ovarian and other gynecological cancers.
- Goal: Determine which chemotherapies are more likely to be effective.
- Benefit: Eliminates the current "trial-and-error" approach.
Providing high-performance, enterprise-grade AI compute access via Aethir
Predictive Oncology Inc. is building what it calls the world's first Strategic Compute Reserve, powered by Aethir's decentralized GPU network. This is intended to democratize access to AI infrastructure that has historically been limited by high costs and shortages.
The company initiated this strategy following private placements that delivered approximately $343.5 million in total value, broken down into approximately $50.8 million in cash proceeds and $292.7 million in notional ATH contributions. As of November 10, 2025, Predictive Oncology held approximately 5.70 billion ATH, valued at about $152.8 million based on a price of $0.0268 per ATH. Of that holding, 3.7 billion ATH are locked.
The underlying Aethir network supports enterprise-grade compute using leading Nvidia hardware, including the H100, H200, B200, and B300. The network itself spans more than 435,000 GPU containers across over 200 locations in 93 countries.
You're looking at a company that secured $3.1 million in cash as of March 31, 2025, up from $611,822 at the end of 2024, following the sale of its Skyline Medical assets to focus on this core AI/compute strategy.
Predictive Oncology Inc. (POAI) - Canvas Business Model: Customer Relationships
Direct, high-touch consulting and collaboration with pharmaceutical R&D teams is supported by specific, data-driven engagements.
Predictive Oncology Inc. successfully developed two distinct and unique 3D liver toxicity models exclusively for Labcorp, a global leader of innovative and comprehensive laboratory services, in the second quarter of 2025. This involved both a human and a rat model, representing the liver microenvironment for drug metabolism and toxicity evaluation. Also, in March 2025, the company used its active machine learning platform in partnership with the Natural Products Discovery Core (NPDC) at the University of Michigan Life Sciences Institute to develop predictive models derived from 21 unique compounds. The AI platform, PEDAL, claims to predict medicine efficacy on tumor samples with 92% accuracy. The company also reported that after measuring 7% of possible wet lab experiments, its predictive ML model covered 73% of all experiments, virtually eliminating up to two years of laboratory testing in certain scenarios.
Strategic, long-term partnerships for co-development and licensing are a key focus area for funding growth initiatives.
| Partner/Collaborator | Date Announced/Reported | Nature of Relationship/Financial Context |
|---|---|---|
| Yorkville Advisors Global, LP | July 2025 | Entered a Standby Equity Purchase Agreement (SEPA) for up to $10 million in funding to progress drug discovery and business development opportunities with biopharmaceutical companies. |
| Every Cure | September 2025 | Strategic collaboration to pursue drug repurposing, using artificial intelligence to identify new uses for existing drugs. |
| Tecan Group Ltd. | Q1 2025 | Partnered to expand high-throughput drug screening to include human tumor spheroids using automated imaging and 3D analysis. |
| Labcorp | Q2 2025 | Successfully developed two distinct and unique 3D liver toxicity models exclusively for them. |
The company is actively pursuing business development opportunities with leading biopharmaceutical firms to leverage its AI capabilities. The $10 million SEPA with Yorkville Advisors is explicitly intended to enable progress on these initiatives.
Automated service delivery for AI compute power via the Aethir network is now integrated into the business structure through a digital asset strategy.
Predictive Oncology Inc. expanded its business to include active digital asset management focused on ATH, the native utility token of the Aethir network, as of December 2025. This strategy was supported by two private placements that resulted in aggregate cash gross proceeds of approximately $50.8 million and in-kind contributions of locked and unlocked ATH with an aggregate notional value of approximately $292.7 million. As of November 10, 2025, the company held approximately 5.70 billion ATH, which had a market value of approximately $152.8 million, based on a price of $0.0268 per ATH. This is intended to allow Predictive Oncology to function as an operator on the Aethir ecosystem to satisfy enterprise demand for compute.
Clinical support for oncologists using the ChemoFx® assay is being aggressively expanded.
ChemoFx® is the proprietary live-cell tumor profiling assay that measures chemotherapy responses in vitro using a patient's own cells to provide personalized guidance for treatment selection. This assay was the primary method by which the company acquired more than 150,000 patient tumor samples, which feeds its biobank.
- Preparing for aggressive market expansion in the U.S. and de novo Launch in Europe as of Q2/Q3 2025.
- Initial focus for the treatment selection marker and tumor profiling assay is on ovarian and other gynecological cancers.
- The assay helps oncologists determine effective chemotherapies, eliminating the current "trial-and-error" approach.
The company reported total revenue of $110,310 for the first quarter ended March 31, 2025. The decrease in revenue for Q2 2025 to $2,682 was primarily due to decreased sales of tumor-specific 3D models and 3D kits.
Finance: review the cash burn rate against the $10 million SEPA funding availability by end of Q4 2025.
Predictive Oncology Inc. (POAI) - Canvas Business Model: Channels
You're looking at how Predictive Oncology Inc. (POAI) gets its value propositions-from AI drug discovery to its new digital asset strategy-into the hands of customers and stakeholders as of late 2025. The channels have definitely shifted, moving beyond just lab services to a heavy focus on digital infrastructure partnerships.
Direct sales and business development teams targeting biopharma executives
This channel remains critical for the core oncology business, specifically for driving adoption of the ChemoFx® assay and securing data licensing or drug repurposing collaborations. While we don't have a headcount for the direct sales force, we can look at the associated spending to gauge the effort behind this push. Sales and marketing expenses for the second quarter of 2025 hit $268,959, up from $134,186 in the comparable period in 2024, largely due to increased fees for digital marketing consultants as they push for market expansion. Also, general and administrative expenses, which cover overhead for these efforts, were $2.6 million in the third quarter of 2025. The company is actively exploring strategic partnerships with biopharmaceutical companies to advance its drug repurposing candidates, such as the three identified compounds: Afuresertib, Alisertib, and Entinosta. Honestly, this channel is where the traditional science meets the market.
Digital asset platforms and the Aethir network for compute services
This is the newer, high-profile channel, positioning Predictive Oncology Inc. as an operator on the Aethir ecosystem to monetize its Strategic Compute Reserve. This strategy was funded by massive capital raises in late 2025. The network itself is substantial, spanning more than 435,000 GPU containers across 200+ locations in 93 countries, supporting hardware like Nvidia H100, H200, B200, and B300. The channel's success is tied to the value of the assets acquired to operate within it. Here's the quick math on the holdings as of November 10, 2025:
| Asset Metric | Value |
|---|---|
| Total ATH Tokens Held | 5.70 billion |
| Market Value of ATH (as of Nov 10, 2025) | $152.8 million |
| ATH Price Used for Valuation | $0.0268 per ATH |
| Locked/Restricted ATH | 3.7 billion |
| Unlocked ATH | 2.0 billion |
The plan is to drive a high single-digit yield on these digital assets by FY'26 through staking and GPU leasing, which is how they intend to generate booked revenue from this channel.
Clinical laboratory network for ChemoFx® assay distribution
The ChemoFx® assay distribution channel is focused on clinical utility, helping oncologists select better chemotherapy treatments. The company is aggressively advancing its market expansion for this flagship live cell drug response assay. They anticipated a de novo launch in Europe in the fourth quarter of 2025, complementing its ongoing U.S. availability. This assay is deeply integrated with their AI platform, as the data generated feeds back into their models. You should know that the foundation of this capability rests on their extensive biobank, which contains over 150,000 tumor samples across 137 types of cancer. The assay initially targets ovarian and other gynecological cancers, with plans to include other major tumor types over time.
Investor relations for capital raising and strategic financing
This channel is about securing the necessary capital to fund operations and execute the new digital asset strategy. The most significant recent event was the closing of two private investment in public equity (PIPE) transactions on October 7, 2025. This was a major influx of funding to support the Aethir (ATH) treasury strategy. The total aggregate raised was approximately $343.5 million. What this estimate hides is the split between cash and crypto value, which is important for understanding the immediate liquidity versus the strategic asset base:
- Cash Gross Proceeds: Approximately $50.8 million.
- In-Kind ATH Contributions (Notional Value): Approximately $292.7 million.
- In-Kind ATH Contributions (Discounted Value): Roughly $173.3 million.
This financing was crucial; following the closing, Predictive Oncology Inc. stated its stockholders' equity exceeded $2.5 million, allowing them to regain compliance with Nasdaq Listing Rule 5550(b)(1) as of December 1, 2025. For context on the operational burn this financing is meant to cover, net cash used in operating activities for the first nine months of 2025 was $5.9 million.
Finance: draft 13-week cash view by Friday.
Predictive Oncology Inc. (POAI) - Canvas Business Model: Customer Segments
Large pharmaceutical and biotech companies seeking to replenish pipelines.
Predictive Oncology Inc. is exploring partnership opportunities with major biopharmaceutical firms to leverage its artificial intelligence and machine learning platform for drug repurposing. The company has already developed a registry for repurposing abandoned drugs, identifying 3 compounds for further exploration in colon and breast cancer indications.
Oncologists and clinicians focused on gynecological and ovarian cancers.
The ChemoFx®, validated flagship live cell drug response assay, is being prepared for aggressive market expansion in the U.S. and a de novo launch in Europe. This assay initially focuses on ovarian and other gynecological cancers to help determine effective chemotherapies, eliminating the current trial-and-error approach.
Global enterprises requiring decentralized, high-demand GPU compute power.
Predictive Oncology Inc. initiated a digital asset treasury strategy focused on ATH, the native utility token of the Aethir network, to function as an operator on the Aethir ecosystem. This allows the company to satisfy enterprise demand for compute through its Strategic Compute Reserve. The company received aggregate cash gross proceeds of approximately $50.8 million and in-kind contributions of locked and unlocked ATH with an aggregate notional value of approximately $292.7 million pursuant to private placements supporting this strategy. As of November 10, 2025, the Company held approximately 5.70 billion ATH, with a market value of approximately $152.8 million. The PEDAL platform, which utilizes these capabilities, achieves 92% tumor response prediction accuracy.
Non-profit organizations focused on drug repurposing, like Every Cure.
The company's AI/ML platform is instrumental in identifying new uses for abandoned or discontinued drugs for novel cancer treatments. Predictive Oncology Inc. has developed a portfolio of promising candidates that may potentially be repurposed for additional or alternative indications.
Key metrics related to Predictive Oncology Inc. (POAI) customer-facing offerings as of late 2025:
| Customer Segment Focus | Key Offering/Metric | Latest 2025 Figure |
| Drug Repurposing/Pharma | Identified repurposed drug candidates (Colon/Breast) | 3 compounds |
| Oncologists/Clinicians | ChemoFx® initial focus | Ovarian and gynecological cancers |
| Compute/Enterprises | PEDAL platform prediction accuracy | 92% |
| Compute/Enterprises | ATH Token Holdings (Market Value) | $152.8 million (as of Nov 10, 2025) |
The company's strategic focus areas for customer engagement include:
- Leveraging AI/ML for drug discovery and development.
- Expanding ChemoFx® availability in the U.S. and Europe.
- Monetizing AI infrastructure through enterprise deployments.
- Developing systems to utilize ATH tokens for revenue generation.
Predictive Oncology Inc. (POAI) - Canvas Business Model: Cost Structure
You're looking at the hard numbers driving Predictive Oncology Inc.'s expenses as of late 2025. The cost structure is clearly bifurcated between traditional operational expenses and the significant impact of the new digital asset strategy.
The General and Administrative expenses were high for the third quarter of 2025, totaling $2.6 million for the three months ended September 30, 2025. This compares to $1.5 million in the same period in 2024. This increase was driven by specific cost components.
The core scientific and development spending, categorized as Operations, research, and development expense, was $528,557 for the three months ended September 30, 2025. This was largely flat compared to $535,236 in the comparable period in 2024.
The most significant financial event impacting the income statement for the quarter was the non-cash charge related to the digital asset treasury strategy. Predictive Oncology Inc. recorded a loss on derivative instruments of $74.4 million in Q3 2025, which is directly tied to the valuation of the ATH token holdings.
Here's a quick look at the key reported operating expenses for Q3 2025:
| Expense Category | Amount for Three Months Ended September 30, 2025 |
| General and Administrative Expenses | $2.6 million |
| Operations, Research and Development Expense | $528,557 |
| Sales and Marketing Expenses | $133,494 |
| Revenue (for comparison) | $3,618 |
The increase in General and Administrative expenses was specifically attributed to higher spending in two areas:
- Increased legal fees.
- Increased stock-based compensation expense due to restricted stock units granted to employees, directors, and consultants.
Maintaining the core drug discovery infrastructure represents a fixed cost base. This includes the physical assets supporting the AI platform:
- Costs associated with maintaining the biobank, which holds more than 150,000 assay-capable heterogenous human tumor samples.
- Costs for the wholly owned CLIA lab facility.
Predictive Oncology Inc. (POAI) - Canvas Business Model: Revenue Streams
You're looking at the top line for Predictive Oncology Inc. (POAI) as of late 2025, and honestly, the picture is dominated by the strategic pivot. While the foundational streams-fees from AI-driven drug discovery services and platform licensing-are still part of the overall business, the current reported revenue is quite minimal, suggesting these services haven't scaled to drive significant top-line growth yet. The ChemoFx® drug response assay, which is key to their biobank, also represents a potential revenue source, but specific figures aren't broken out in the latest reports.
The major focus for future revenue generation is clearly the new digital asset strategy. Predictive Oncology Inc. is building out its Strategic Compute Reserve, intending to monetize this via staking and GPU rentals on the Aethir network. They are targeting a high single-digit yield on their ATH tokens by 2026, so this is definitely a forward-looking stream, not one contributing materially to the current numbers.
Here's the quick math on the realized revenue from continuing operations through the third quarter of 2025. The numbers show the current state before the compute monetization is expected to kick in.
| Revenue Metric | Amount (USD) |
|---|---|
| Total Revenue (Nine Months Ended September 30, 2025) | $116,610 |
| Q3 2025 Operating Revenue | $3,618 |
To be fair, that Q3 2025 operating revenue of $3,618 was described as minimal and nearly flat year-over-year. The total revenue for the nine months ended September 30, 2025, at $116,610, is up from $76,020 in the prior year period, which is a positive trend, even if the absolute dollar amounts are small relative to the company's asset base.
The streams that underpin the current, albeit small, revenue include:
- AI-driven drug discovery service fees.
- Platform licensing revenue.
- Sales related to the ChemoFx® assay.
Finance: draft 13-week cash view by Friday.
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