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Associated with Yenepoya Incubation Center

RemedionAI

Turn patient symptoms into remedy insights Built on classical Materia Medica using semantic AI
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The Intelligence

Built on classical Materia Medica,
powered by modern AI

RemedionAI combines the depth of classical Materia Medica with modern artificial intelligence to support more precise homeopathic remedy analysis. Using a proprietary cosine-similarity engine, the platform searches classical Materia Medica texts to identify remedies most relevant to the patient's symptom profile.

The founders have applied for a patent for this computational engine (Application No. 202541054428).

Rather than offering a single "guess," RemedionAI generates a mathematically grounded ranked list of remedies based on structured similarity scoring — keeping the practitioner fully in control of the final clinical decision.

To learn more about the cosine similarity methodology behind RemedionAI, please refer to our research publication in Homeopathy.

Peer-reviewed Publication · DOI: 10.1055/a-2668-1135

This work was also presented at the XXXIX GIRI Meeting, Warsaw, Poland, further validating the cosine similarity approach at an international homoeopathic research forum.

Conference Proceeding · XXXIX GIRI Meeting, Warsaw
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Classical Materia Medica Texts
Allen's · Boericke's · Hering's
🧠
Natural Language Processing
Natural language symptom input with semantic similarity matching
⚕️
Ranked
Scored remedy shortlist with source-linked evidence
🔒
Secure
Patient records, follow-ups and practitioner access controls
Learning Model
Inbuilt Machine-Learning Module
Capabilities

What RemedionAI does

1
Semantic Symptom Search
Enter symptoms in plain language. The AI normalises, embeds, and matches them against classical texts — no rubric hunting required.
2
Multi-Corpus Analysis
Results are drawn from Allen's, Boericke's, and Hering's, giving the practitioner a referenced perspective in one view.
3
Patient Records & Follow-ups
Maintain structured patient histories, track remedy responses over time, and record follow-up consultations in one secure place.
4
Exportable Reports
Generate clean PDF summaries of symptom scores and remedy rankings for clinical documentation or peer review.
5
Flexible Subscriptions
Choose the plan that fits your practice — monthly or annual subscription, unlocked with a single payment.
Plans

Simple, transparent pricing

Free
₹0
Forever free
  • Allen's Keynotes
  • Patient case recording
  • Basic remedy shortlist
  • PDF export
  • Boericke's Materia Medica
  • Hering's Guiding Symptoms
  • Full database analysis
Get Started
Most Popular
Premium
  • Allen's Keynotes
  • Boericke's Materia Medica
  • Hering's Guiding Symptoms
  • Unlimited patients recording
  • 25MB space per user
  • PDF export & email support
  • Full database analysis
Start Free Trial
Advanced
  • Allen's Keynotes
  • Boericke's Materia Medica
  • Hering's Guiding Symptoms
  • Analysis across entire corpus
  • Institutional dashboard
  • Multi-practitioner access
  • 50MB space per user
  • Priority support & API access
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The Team

About the founders

Dr. Kurian Poruthukaren
Dr. Kurian P J (Dr. Kurian Poruthukaren)
Co-Founder · MD(Hom)
A scientist and core backend architect of RemedionAI, he combines computational intelligence with classical homeopathic knowledge to build next-generation clinical decision-support systems. He developed the platform’s cosine-similarity engine for simillimum identification and pioneered computational methods for estimating the sensitivity of homeopathic repertories. He also introduced similarity-index–based approaches for quantifying noise in homeopathic pathogenetic trials. He is among the architects of HomoeOmicsDB, the first database compiling gene expression experiments on homeopathic medicines, and has proposed novel methodologies for estimating the expiry of ultra-high diluted homeopathic medicines. His work focuses on integrating AI, bioinformatics, and homeopathic research into scalable clinical technologies.
View Profile →
Mr. G P Abhijith
Mr. G P Abhijith
Co-Founder · MSc Microbiology
As the Engineering Lead at RemedionAI, he oversees the platform’s technical architecture and AI systems integration. He played a key role in designing the platform’s front-end infrastructure, database architecture, data pipelines, and security systems, while also contributing to the development and training of AI-driven symptom analysis and clinical decision-support models. He secured an All India Rank (AIR) of 95 in CSIR-NET Life Sciences and also qualified GATE Life Sciences (XL). His multidisciplinary expertise spans bioinformatics, software engineering, cell culture techniques, and applied artificial intelligence. His research interests focus on bridging medicine and artificial intelligence through interdisciplinary and technology-driven approaches.
LinkedIn →
Dr. Jeenu Joseph
Dr. Jeenu Joseph
Co-Founder · MD(Hom)
Responsible for corpus curation, embedding validation, and the published research underpinning RemedionAI’s evidence base.
Dr. Shivaprasad Kotian
Dr. Shivaprasad Kotian
Co-Founder · MD(Hom)
A homoeopathic physician leading the clinical direction of RemedionAI. He ensures the platform’s AI outputs align with real-world prescribing practice, using his clinical expertise and years of patient care to shape evaluation methodologies that make remedy recommendations meaningful, reproducible, and reliable across diverse professional and clinical settings.
Dr. Arun K John
Dr. Arun K John
Co-Founder · MD(Hom)
Responsible for corpus curation, embedding validation, and the published research underpinning RemedionAI’s evidence base.
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Get in touch

Questions about the platform, institutional licensing, or the research behind RemedionAI?
We'd love to hear from you.

contact@remedionai.com
Published Research Conference Proceeding