Cold chain market: $436B in 2025 Up to 50% of vaccines wasted from temperature excursions FDA 21 CFR Part 211 · EU GDP compliance Biologics: 40% of new pharma approvals Cold chain CAGR: 16% through 2032 Temperature deviation = product loss + regulatory liability Cold chain market: $436B in 2025 Up to 50% of vaccines wasted from temperature excursions FDA 21 CFR Part 211 · EU GDP compliance Biologics: 40% of new pharma approvals Cold chain CAGR: 16% through 2032 Temperature deviation = product loss + regulatory liability
Cold Chain Intelligence

Know before
the chain
breaks.

Kairon reads your sensor data to predict temperature excursions before they reach spoilage thresholds — then handles the insurance claim and compliance paperwork automatically.

8°C safe max 2°C safe min kairon alert
Excursion Risk
High
Predicted: 47 min
Shipment Value
$284K
Biologics · FedEx Custom Critical
Claim Status
Auto-filed ✓
FDA report generated

Cold chain breaks are
expensive, invisible, and slow.

01
Excursions are discovered too late
Temperature deviations in pharmaceutical and food shipments are typically found at destination — after the product is already compromised. Current systems log data; they don't predict it.
→ Damage is irreversible. Loss is certain.
02
Insurance claims are manual nightmares
Filing a cold chain claim means cross-referencing sensor logs, shipment records, and policy language — manually, under time pressure, after a loss. Companies leave millions unclaimed every year due to documentation burden.
→ Months of back-and-forth. Partial recoveries.
03
Compliance is a full-time job
FDA 21 CFR Part 211, EU GDP, FSMA, USP <1079> — each shipment requires documented temperature evidence. Teams spend hundreds of hours compiling regulatory dossiers that should be generated automatically.
→ Regulatory risk compounds product risk.

Four capabilities.
One intelligence layer.

Kairon sits between your IoT sensors and your operations team — ingesting real-time temperature, humidity, and location data to give you foresight, not just record-keeping.

01 / Predict
🌡️

Excursion Prediction Engine

ML models trained on historical shipment patterns, ambient conditions, carrier routes, and equipment profiles. Kairon flags excursion risk hours before thresholds are breached — giving teams time to reroute, intervene, or pre-stage replacements.

Real-time · Predictive · IoT-native
02 / Recover
📋

Automated Insurance Claims

When an excursion occurs, Kairon auto-generates a fully documented insurance claim — sensor logs, time-stamped evidence, product valuation, and policy-aligned language — filed within minutes, not weeks.

Automated · Sensor-linked · Policy-aware
03 / Comply
⚖️

Regulatory Documentation

Auto-generated compliance reports aligned to FDA 21 CFR, EU GDP, FSMA, and WHO cold chain guidelines. Every shipment produces an audit-ready dossier without manual data assembly.

FDA · EU GDP · WHO · FSMA
04 / Optimize
📊

Carrier Performance Scoring

Track temperature integrity, on-time performance, and excursion history across every carrier you use. Make procurement decisions based on cold chain reliability data — not just rates and transit times.

Score · Rank · Negotiate

From sensor to resolution,
automatically.

Step 01

Connect your sensors

Kairon integrates with existing IoT data loggers, reefer telemetry, and warehouse monitoring systems via API or direct connector. No rip-and-replace required.

Step 02

Kairon models your baseline

Within days, the prediction engine builds a behavioral model for your lanes, products, and carriers — learning what "normal" looks like so it can recognize what "dangerous" feels like.

Step 03

Alerts fire before spoilage

Operational alerts are pushed to your team — with recommended interventions, rerouting options, and pre-drafted communications — giving you the window to act.

Step 04

Documentation handles itself

Insurance claims and regulatory reports are generated automatically from the event record. One click review, one click submit. Your compliance team closes the loop in minutes.

A $436B
infrastructure
problem.

$436B
Global cold chain market (2025) Growing at 16% CAGR through 2032, driven by biologics, vaccines, and perishable food demand.
50%
Vaccines wasted globally Due to cold chain failures during transit and storage — a public health crisis rooted in operational blindness.
40%
New pharma approvals are biologics Temperature-sensitive by nature. Each shipment carries regulatory, financial, and patient safety risk.

Kairon targets the pharmaceutical and premium food sectors — the highest-value, highest-risk segments of cold chain logistics where excursions carry the steepest regulatory and financial consequences.

Today, companies manage temperature risk with manual processes, reactive systems, and overworked QA teams. The compliance and insurance burden is significant and growing as regulation tightens globally.

We are building the intelligence layer that sits on top of existing cold chain infrastructure — making existing assets smarter without requiring new hardware investment. Our go-to-market targets 3PLs, pharma manufacturers, and specialty food distributors in North America and the EU.

The first product is a SaaS subscription priced per-shipment-lane, with usage-based recovery fees on insurance claims filed through the platform.

Comparable

The cold chain software market is fragmented between legacy ERP add-ons and point IoT tools. No incumbent combines predictive excursion intelligence, automated claims, and regulatory documentation in one platform. Kairon is building that layer.

Built by someone who
has felt the problem.

DD
Dhruv Davda Founder & CEO
"The cold chain doesn't fail loudly. It fails quietly, one degree at a time — and nobody finds out until the product is gone and the regulator is asking questions."

Dhruv Davda founded Kairon after observing the operational gap that pharmaceutical and specialty food companies live with daily: sensor data that records, but doesn't think. The thesis is simple — cold chain intelligence should be predictive by default, and the compliance burden that follows a failure should be automated away entirely.

His background spans logistics technology, supply chain operations, and regulatory affairs — with a particular focus on the interface between physical infrastructure and the software layer that manages it. He has worked with cold chain operators across the pharmaceutical and specialty food verticals, and seen firsthand the compounding cost of late-stage excursion discovery: product loss, insurance disputes, regulatory letters, and carrier renegotiations — all triggered by a problem that was visible in the data long before it became a crisis.

Kairon is his answer to that. Intelligence at the threshold, not after it.

Ready to see what your
sensor data already knows?

We're working with a select group of pharmaceutical and specialty food shippers for our early access program. Bring your data. We'll show you what's hiding in it.

Talk to Dhruv →