Ambient Integrity Platform

A Decision Infrastructure
for Cold Chain Integrity.

Monitoring reacts. Infrastructure governs.

PulseFresh is a structured integrity layer that connects environmental data, product identity, custody transitions, and operational context into auditable decisions.
From production to retail, the platform transforms telemetry into governed integrity outcomes. For multi-site operations, regulated industries, and high-risk cold chain networks.

1. Integrity Platform

A Unified Integrity Model

The Ambient Integrity Platform operates on a unified model that connects four core dimensions. Instead of isolated sensor logs, the platform builds a continuous integrity graph across the product lifecycle.

Identity

Product, batch, pallet, shipment

Environment

Temperature, humidity, exposure patterns

Custody

Acceptance, release, handover events

Context

Facility, zone, transport condition, role

Enterprise Scale

Architecture Overview

The system operates across three logical layers. Each layer has a defined responsibility.

Designed for multi-site, multi-tenant operations at national scale.

Edge Layer

SenseTag Environmental monitoring
NanoTag Identity association (passive, optional)
LogAll Shipment logging
FleetLink Real-time visibility transmission

Aggregation Layer

CoreHub Secure local data consolidation
Encrypted Transmission Store-and-forward architecture to cloud

Platform Layer

Integrity graph
Risk engine
Workflow engine
Reporting & evidence module

Explore the Core Platform Modules

Risk Engine Explore

AI Shelf Life Explore

Workflow Explore

Reporting Explore

API & Integration Explore

2. Risk Engine

Structured Risk Scoring

Traditional systems trigger alarms.

PulseFresh evaluates risk.

The Risk Engine analyzes:

Cumulative exposure duration
Thermal drift and recovery patterns
Repeated micro-deviations
Cross-zone inconsistencies
Identity–environment continuity

Risk becomes a calculated model, not a single threshold violation.
This reduces unnecessary product rejection while protecting regulatory boundaries.

Context-Aware Decision Logic

A 6°C deviation does not carry the same operational meaning in:

Poultry Production Line Expected Drift

Frozen Warehouse Critical Thaw Risk

Hospital Refrigerator Compliance Excursion

The Risk Engine adapts to industry-specific tolerance logic while maintaining a unified integrity framework.

Exposure-to-Impact LIVE MODELING

Batch V-882 (Baseline: 14 Days)

11.4 Days

-2.6 Days Impact

Loading dock exposure (45m) -1.2 days

Transport micro-thaw (3x) -1.4 days

3. AI Shelf Life Engine

Exposure-to-Impact Modeling

The AI Shelf Life Engine converts environmental exposure into stability insights.

Core Capabilities:

Remaining shelf-life estimation
Degradation modeling based on exposure history
Batch-level risk forecasting
Scenario simulation (what-if exposure analysis)
Stability-informed release recommendations

This module reduces waste while protecting compliance boundaries.
AI strengthens governance. It does not replace validation procedures.

4. Acceptance & Release

Standardized Operational Decisions

Cold chain breakdowns often occur at handover points. The workflow engine structures operational reality.

Goods acceptance validation
Conditional release logic
Deviation escalation
CAPA documentation
Quality review checkpoints

Every operational decision becomes logged, timestamped, and role-bound.

No informal approvals. No undocumented overrides. Evidence-based release reduces investigation overhead.

5. Reporting & Evidence

Audit-Ready Integrity Documentation

The platform generates structured documentation designed for regulatory defense and to eliminate costly manual investigations.

Exposure reconstruction timelines
Chain-of-custody continuity reports
Risk justification summaries
Integrity score history
Export-ready compliance documents

Logs show temperature.
The platform shows accountability.

This distinction is critical in regulated industries.

6. API & Integrations

Enterprise-Ready Connectivity

PulseFresh integrates with your existing operational backbone without replacing core systems.

REST APIs
Secure webhooks
ERP integration
WMS and QMS connectivity
Role-based access control
Multi-tenant architecture

The integrity graph can be embedded into your existing operational backbone.

POST /api/v1/integrity/evaluate

const payload = {
  "batch_id": "CHCK-882A",
  "action": "REQUEST_RELEASE",
  "context": {
    "facility": "Marmara Hub",
    "actor_id": "USR-991"
  }
};

// Response from PulseFresh Risk Engine
{
  "status": "CONDITIONAL_APPROVAL",
  "integrity_score": 84,
  "ai_shelf_life_impact": -2.4, // days
  "required_workflow": "FEFO_PRIORITY",
  "evidence_hash": "0x8f9...b31c"
}

Integrity is Infrastructure

Cold chain integrity cannot rely on disconnected devices and manual oversight.

Multi-site & multi-tenant ready Evidence-based release Reduced waste & investigation costs Audit-grade compliance defense

This is not a dashboard. It is an operational integrity layer.