Cold Chain Intelligence Platform

Predict excursions
before spoilage
happens.

Vaahan is the AI layer for cold chain logistics — predicting temperature excursions minutes before product damage, automating insurance claims, and generating compliance documentation in real-time for pharmaceutical and food operators.

See the Platform Meet the Founder
Live Shipment — MUM→DEL Pharma Corridor MONITORING
⚠ PREDICTED BREACH
Sensors
S01: 2.1°C ✓ S02: 3.4°C ✓ S03: 6.8°C ! S04: 2.9°C ✓ S05: 9.1°C ✗
Cur. Temp
6.8°C
Time to Breach
~14 min
Cargo Value
₹2.4Cr
⚡
AI Intervention Triggered Rerouting to backup cold facility. Insurance claim pre-generated. FDA compliance log updated.
$300B Global cold chain market (pharma + food)
$35B Annual loss from vaccine temperature excursions
50% Global vaccine doses wasted from thermal breaches
14.8% CAGR of pharma cold chain through 2030
The Problem

Cold chain failures are
predictable. They're just not
being predicted.

Every year, billions in pharmaceutical and food cargo spoils because the industry relies on reactive monitoring — alarms that fire after the breach has already occurred.

🌡️
Reactive, not predictive
Traditional loggers alert operators after temperature excursions occur — when damage is already done. Vaahan predicts excursions 10–30 minutes in advance, enabling intervention.
📋
Manual insurance claims
Spoilage claims are filed days after the event, manually compiling sensor logs, carrier data, and product manifests. A process that takes weeks and is often rejected for incomplete records.
⚖️
Compliance documentation gap
FDA 21 CFR Part 211 and EU GDP regulations require exhaustive, audit-ready temperature documentation. Most operators compile this manually — creating liability and delays during audits.
Annual Losses — Cold Chain Industry
Vaccine Spoilage (Global) $35B
Food Waste (Cold Chain) $18B
Failed Insurance Claims $4.2B
Compliance Penalties (FDA/EU) $2.8B
Addressable loss (annually) $60B+
The Platform

Four modules.
One intelligence layer.

Vaahan integrates with existing IoT sensor infrastructure to deliver predictive intelligence, automated workflows, and audit-ready documentation — all in one platform.

01 — CORE MODULE
🔮
Temperature Excursion Prediction
Vaahan's ML models ingest real-time sensor streams, ambient weather data, route conditions, and historical patterns to predict excursion risk 10–30 minutes before a breach. Operators receive actionable alerts — reroute, adjust refrigeration, or pre-position backup carriers — with enough time to act.
LSTM Time-Series Sensor Fusion Route Intelligence Real-time Scoring
Prediction Engine Output
LOW RISK — 94% confidence
Sector A: Maintain current route. ETA on-spec.
ELEVATED RISK — 17 min window
Sector C: Refrigeration unit S03 degrading. Activate backup.
CRITICAL — REROUTE NOW
Shipment #VH-7723: Predicted breach in 11 min. Alternate depot locked in.
02
📄
Automated Insurance Claims
When spoilage occurs, Vaahan auto-generates complete claim packages from sensor logs, GPS data, carrier records, and product manifests — reducing claim processing from weeks to hours and dramatically improving acceptance rates.
Document AI Sensor Evidence Chain Auto-Filing
03
⚖️
Regulatory Compliance Docs
Continuous, audit-ready documentation aligned to FDA 21 CFR Part 211 and EU GDP guidelines. Every shipment generates a complete, signed temperature log — exportable for regulatory submissions and audits on demand.
FDA 21 CFR EU GDP FSSAI Auto-Audit Trail
04
📊
Carrier Performance Scoring
A data-driven scorecard for every carrier in your network — tracking excursion frequency, claim history, route reliability, and handling compliance. Enables informed carrier selection and contract negotiations.
Carrier Analytics Risk Benchmarking SLA Enforcement
How It Works

From sensor to decision
in minutes.

01
Sensor Integration
Vaahan connects with your existing IoT temperature loggers, GPS trackers, and cold storage infrastructure via standard APIs — no hardware replacement needed.
02
AI Prediction Engine
Real-time sensor streams are processed through Vaahan's ML models, cross-referenced with route conditions, weather forecasts, and historical failure patterns.
03
Alert & Intervention
Operators receive prioritized alerts with specific intervention options — reroute, adjust, replace — before the excursion occurs, not after.
04
Automated Downstream
Every event — predicted or actual — automatically generates compliance records, insurance claim packages, and carrier performance data with no manual entry.
Industries

Built for the two largest
cold chain verticals.

Pharmaceuticals and food together represent the $300B cold chain market. Vaahan is engineered for both — with industry-specific compliance modules and risk profiles.

💊
Pharmaceuticals & Biologics
Vaccines, biologics, insulin, and mRNA therapies require precise temperature control from –80°C to +8°C. A single excursion can destroy an entire shipment worth crores. Vaahan provides real-time risk scoring and FDA/EU-aligned documentation for every pharma corridor.
$15.18B pharma cold chain packaging market (2023)
🥩
Food & Perishables
From fresh produce to frozen goods, the food cold chain requires constant monitoring across the last mile — where temperature failures are most common. Vaahan's carrier scoring and FSSAI-aligned documentation gives food operators full chain of custody.
75% share of global cold chain logistics
🧬
Clinical Research & Diagnostics
Clinical trial samples, diagnostic specimens, and cell therapies require cryogenic handling with meticulous audit trails. Vaahan's compliance engine is purpose-built for ICH Q1A guidelines and GDP-aligned clinical logistics.
CAR-T, gene therapy, mRNA — fastest-growing segment
ZJ
Zoya Jamadar
Founder & CEO, Vaahan
Focus
Cold Chain AI
/ Founder
Zoya
Jamadar
Founder & CEO — Vaahan
"Every temperature excursion we predict is a vaccine that reaches its patient, a shipment that doesn't become a writeoff, and a compliance audit that doesn't become a crisis. We're building the intelligence layer this industry has needed for decades."
Zoya Jamadar founded Vaahan to solve a problem she witnessed firsthand — cold chain operations running on reactive alerts and manual paperwork in one of the world's most demanding logistics environments. Combining deep expertise in supply chain systems, IoT infrastructure, and machine learning, she set out to build the predictive intelligence layer that the pharmaceutical and food logistics industry had been missing.

Vaahan is built on the conviction that the $60B+ annual loss from cold chain excursions is not inevitable — it's a data problem. With the right models, the right sensors, and the right automation, spoilage can be prevented before it happens.
Supply Chain Systems IoT & Sensor Networks Machine Learning Pharma Logistics Regulatory Compliance
Get Started

Stop reacting.
Start predicting.

Join pharma and food operators already using Vaahan to protect their cargo, accelerate claims, and stay ahead of compliance.

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