Arficus


Arficus is dedicated to transforming healthcare through innovative AI-driven solutions, focusing on social impact and serving underserved communities worldwide. Their mission is to create affordable, technology-led healthcare accessible for all, leveraging generative AI models like Medhini to enhance diagnostics, clinical trials, and healthcare delivery globally.

Industries

Artificial Intelligence (AI)
Health Care
Health Diagnostics
Hospitals and Health Care

Nr. of Employees

small (1-50)


Products

Foundational generative AI multimodal model for healthcare (SAMD)

A generative AI model designed to process multi-modal clinical inputs and produce diagnostic decision support; positioned as software intended to function as a medical device.

Non-invasive neural sensing chip (R&D prototype)

A non-invasive neural sensing platform under development intended to enable user-level self-diagnostic capabilities.

Climate–health cross-prediction analytical platform

Analytical platform to predict health impacts related to climate change variables and provide early warning insights.

Vita

Longevity Research Cloud that orchestrates the full longevity research stack inside sovereign data perimeters, offering multi-omics fusion and biological-age estimation.

Quantum Climate-Health

A quantum-aided generative platform that models climate-shifted disease ecology, including vector range, zoonotic spillover risk, and pathogen mutation trajectories at sovereign resolution.

AI Drug Discovery Sovereignty

End-to-end in-silico discovery, simulation, and AMR surveillance for nations that refuse to depend on foreign pharma stacks.

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Services

Design and execution support for virtual clinical studies, including BA/BE and AMR analytical frameworks.

Integration of AI decision-support software with existing medical machines and hospital systems to augment clinician workflows.

Real-time predictive models for disease triage, prognosis and early-detection workflows.

Decision-support frameworks for medical underwriting, claims processing and policy personalization.

Annotation of biomarkers and creation of synthetic biomarkers for diagnostic model development and validation.

Implementation of connectors and interfaces to ingest clinical data directly from radiology, pathology and lab instruments.

Expertise Areas

  • Clinical trial design and virtual trial execution
  • Digital health and clinical decision support
  • Medical imaging and multi-modal diagnostics
  • Predictive analytics and triage
  • Show More (4)

Key Technologies

  • Generative large language / multimodal models
  • Multi-modal data fusion (images, signals, labs, genomics)
  • Virtual / in-silico clinical trial simulation
  • Clinical decision support systems (CDSS)
  • Show More (4)

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