Research-Stage Clinical Decision Support

Know what your supplements are actually doing.

13 AI agents analyze every interaction in your stack, compute your biological age, and build evidence-backed protocols.

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Free Interaction Check

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13SLM Agents
1,000+Substances
97%Max Accuracy
5Data Tiers

Precision Capabilities

Our clinical-grade engine processes multiple vectors of human biology to optimize your protocol.

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Drug & Supplement Interaction Analysis

Detect complex contraindications between supplements, prescription drugs, and metabolic pathways. Pairwise + multi-substance cascade detection with adversarial self-validation.

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Biological Aging Clock

Compute your biological age from lab biomarkers, wearable data, and pharmacological effects.

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Lab Test Engine

Identifies exactly which tests you need. Recommends panels, estimates costs, shows what each unlocks.

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Anti-Aging Protocols

Three-phase personalized longevity plans with monitoring targets, measurable checkpoints, and quarterly biomarker reviews — all backed by published research.

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Share with Clinician

Generate PDF reports, secure links, or HL7 FHIR exports for your doctor or pharmacist.

Clinical Decision Support

How SuppliAi Works

A six-stage intelligent pipeline that transforms raw supplement data into structured, research-backed clinical insights.

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Define Your Health Objective

Select your primary goal — weight management, condition support, longevity optimization, or athletic performance. This configures which SLM agents activate, which biomarkers are prioritized, and which clinical literature databases are queried.

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Input Your Complete Stack

Search our database of 1,000+ supplements, vitamins, and medications. Upload prescription photos or lab reports — our vision AI extracts every compound automatically. Each substance is normalized to its INN/USAN standard name for accurate analysis.

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Multi-Agent Interaction Analysis

13 SLM agents analyze every pairwise and multi-substance combination. Agent A2 checks pharmacokinetic (absorption, metabolism) and pharmacodynamic (mechanism) interactions. Agent A8 then challenges every finding through adversarial validation before results reach you.

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Biomarker Gap Analysis & Lab Integration

Based on your goal and conditions, Agent A11 identifies which lab tests are missing from your profile. Upload existing blood work (HbA1c, lipid panels, CRP, vitamin D, thyroid, homocysteine, ferritin, and 50+ markers) to unlock deeper analysis tiers and biological age computation.

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Protocol Generation & Scheduling

Agent A6 generates a personalized 3-phase protocol (Foundation → Optimization → Maintenance) with specific dosages, timing, and food requirements. Agent A5 creates a safe daily schedule that separates interacting substances by appropriate time gaps. Every recommendation includes a PubMed reference.

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Continuous Monitoring & Optimization

Connect wearable devices for real-time HRV, sleep, and stress data. Agent A10 defines measurable biomarker targets and tracks progress over time. Quarterly re-analysis adjusts your protocol based on actual biomarker changes. Prescription-level suggestions are flagged for mandatory clinician review.

Technology

SLM-Backed Autonomous Agent Network

SuppliAi is powered by SAAN — our proprietary network of 13 specialized Small Language Models. Unlike generic AI chatbots, each agent is domain-trained on pharmacological literature, clinical trial data, and molecular interaction databases. They collaborate in parallel waves, challenge each other's findings through adversarial validation, and only present results backed by verified PubMed research.

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Adversarial Safety Validation

Agent A8 challenges every finding from A2 before it reaches you. False positives are eliminated through multi-round verification.

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6-Wave Parallel Pipeline

Agents run in 6 execution waves — parsing, interaction analysis, biomarker computation, scheduling, recommendation, and safety review — simultaneously.

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Domain-Specific Training

Each SLM is fine-tuned on its domain: A2 on DrugBank + PubChem interactions, A4 on GrimAge/PhenoAge epigenetic clocks, A5 on circadian pharmacology.

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Source Verification

Every PubMed URL is verified before display. Unverifiable citations are excluded. You see only real, published evidence.

AI research

13

SLM Agents

6

Parallel Waves

50+

Biomarkers

Agent Network

A0Orchestrator
A1Substance Parser
A2Interaction Engine
A3Biomarker Intel
A4Aging Clock
A5Schedule Optimizer
A6Goal Recommender
A7Prescription Agent
A8Safety Validator
A9Review Gateway
A10Monitor Tracker
A11Lab Recommender

About Us

Built by Researchers, for Better Health Decisions

SuppliAi was born from a simple frustration — there was no tool that could tell us whether our supplements were safe to take together, backed by real evidence.

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Isarar Siddique

Co-Founder & Chief Architect

Full-stack engineer and AI systems architect specializing in healthcare technology and multi-agent AI systems. Isarar designed the SAAN (SuppliAi Autonomous Agent Network) — a proprietary pipeline of 13 specialized SLM agents that collaborate to analyze drug-supplement interactions, estimate biological age from biomarker data, and generate evidence-referenced health protocols. With deep experience in clinical decision support systems, his mission is to bring research-grade analytical rigor to the supplement and wellness industry, empowering individuals to make informed decisions about their health stacks.

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Raiyan Siddique

Co-Founder & Research Lead

Biomedical research specialist focused on longevity science, pharmacological interactions, and digital health innovation. Raiyan leads the clinical validation pipeline — curating the interaction knowledge base from PubMed, DrugBank, and PubChem, and ensuring every recommendation is grounded in peer-reviewed literature. He oversees the biomarker analysis engine, the lab test recommendation system, and the adversarial safety validation layer that challenges every AI-generated finding before it reaches users. His research focus: making complex pharmacological data accessible and actionable for everyday health optimization.

About the Platform

SuppliAi is a Clinical Decision Support (CDS) platform currently in the research and development stage. It is designed to assist individuals and healthcare professionals in understanding potential interactions between supplements, vitamins, and prescription medications using AI-powered analysis.

The platform combines drug-drug and drug-supplement interaction detection, wearable-derived digital biomarkers, biological age estimation, and goal-based personalized protocol generation — all powered by our proprietary multi-agent SLM architecture. We analyze data from over 1,000 substances and 50+ biomarkers to provide structured, research-referenced insights.

Important: SuppliAi is not a medical device and is not FDA-approved or cleared. It does not diagnose, treat, cure, or prevent any disease. All outputs are informational and intended to support — not replace — professional medical advice. Users should always consult with qualified healthcare providers before making changes to their supplement or medication regimens.

Built with Next.js, Google Gemini, PostgreSQL, and our proprietary SAAN agent framework. Data is encrypted at rest and in transit following industry-standard security practices.

Frequently Asked Questions

Everything you need to know about SuppliAi.

Your supplements deserve better than guesswork

Join the platform that treats supplement safety with the same rigor as prescription medicine.

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