Suply builds AI-native intelligence that reads shipments end-to-end, uniting cargo behaviour with real-world context to explain events with clarity.
Atlas unifies the critical domains that govern global movement: the physical state of the load, the thermodynamic and environmental forces acting on it, the operational reality of vessels, aircraft, ports, and handovers, and the external pressures of weather, markets, and geopolitics.
All resolved into one living model of truth that explains what happened, why it happened, and what comes next.
Low-cost hardware. High-value intelligence.
Historically, low-cost sensors provided data without context. You knew the temperature, but not the impact.
Echo changes the paradigm. By combining cost-efficient edge hardware with Suply's intelligence layer, we allow companies to answer complex questions previously impossible to solve in the perishable supply chain.
EXPLORE ECHO (shipecho.ai)We build the intelligence layer that powers decision-making across the supply ecosystem — and pair it with our own edge hardware to create an undisputable source of truth. Together, they enable partners in any industry to answer complex questions, reduce waste, and price risk with confidence.
Suply gives finance partners a verified, tamper-evident view of goods in transit, reducing fraud and enabling dynamic risk pricing based on the actual state of the asset — not assumptions or paperwork.
Predict degradation and failure modes early. Move from reactive damage control to proactive management using biological signals.
Data-backed narratives replace subjective debate, lowering discounts and strengthening the trust between exporters and importers.
Explaining the "why," not just the "where." The industry gains access to a complete view—internal conditions aligned with external forces.
We work with companies that want to build on our intelligence layer to better serve the trade ecosystem.
Claims resolved on objective context, not hearsay. Suply provides a factual account of what happened, when it happened, and how conditions changed in transit — giving insurers the clarity they need for fair, fast, and defensible outcomes.
The global cold chain is accelerating toward $1.3T, yet its critical data remains fragmented. Sea and air cargo move at unprecedented scale, but the industry still lacks a single, contextual source of truth capable of answering the most fundamental questions about what actually happened in transit — and why.
Supply-chain data has long been fractured across carriers, ports, airlines, and forwarders. Industry efforts like the DCSA are pushing toward standardization, but the underlying signals remain inconsistent, delayed, and incomplete.
We built AI-native systems that ingest the best available industry data and fuse it with our own intelligence — trained on over one billion global shipment transactions. This gives us a foundation strong enough to interpret risk with clarity, not guesswork.
We built models that understand the realities of global logistics: transshipments, vessel rolls, dwell times, routing anomalies, and operational noise that traditional systems routinely misread. We resolve conflicting signals and infer what actually happened — and why.
Our intelligence works best with truth from the edge. Our labs develop ultra-low-cost hardware — around $2 BOM — to capture the essential signal directly from inside the cargo. In a world drifting toward expensive, over-complex devices, we chose precision, scale, and purpose.
For the first time, cargo data can move through an organisation with complete flexibility, regardless of carrier or modal. Teams define exactly how information should flow: delays can route to WhatsApp, arrivals to Slack, alerts to SMS — and specific signals can go directly to finance teams, ERP systems, claims handlers, or staff managing negotiations. Infinite options ensure our source of truth reaches the right people at the right moment.
Atlas Flow turns real-time cargo intelligence into targeted, dynamic workflows that match how teams actually operate.
We pull data from all layers of the supply chain: device telemetry from our edge nodes inside the container, carrier milestones, AIS for sea, ADS-B for air, vessel and flight schedules and external risk feeds (strikes, congestion, weather, conflict, canal and airspace closures). We auto-extract cargo context from AWBs, bills of lading, POs and packing lists — commodity type, packaging, expected set temps, ventilation settings and handling rules. Everything is normalised into a single shipment schema that grounds all reasoning.
We convert the raw stream into grounded logistics and thermodynamic features: expected vs actual temperature bands, heat-flow behaviour inside reefers, defrost cycles, temperature gradients, set-point compliance, vessel and aircraft deviation signatures, port and airport dwell risk, trans-shipment likelihood and lane-specific anomaly profiles. Each shipment gets a compact context object built from engineered features, extracted cargo rules and the closest historical patterns.
Atlas reasons using that grounded context object plus relevant historical shipments. The model never guesses — every conclusion must reference structured data, device behaviour, extracted rules and known physical patterns. When a shipment completes, the full trace feeds back into the dataset, improving the feature engine and strengthening the logic across commodities, vessels, aircraft, reefer types and routes.
Our mission is to build the intelligence layer that makes global perishable trade transparent, predictable, and economically fair.
We aim to create a system that understands perishables as they truly behave biologically, thermodynamically, and operationally, and unites that internal reality with the external forces of global transport, from vessel movements and port congestion to weather, delays, and disruption.
By turning fragmented signals into a coherent, trustworthy understanding of every shipment, Suply enables better insurance, smarter finance, and far more resilient supply chains for the world’s most essential goods.
To achieve this, we work with the most talented people in supply chain, individuals capable of reshaping how the industry thinks, operates, and makes decisions, and together we build technology that elevates the entire ecosystem.