Synapchain plugs into the shipment, supplier, inventory and contract data you already keep, from any source. It reads across all of it at once and finds what's quietly costing you: late lanes, stockout risk, over-priced freight, single-source exposure.
Then a board of AI specialists argues the trade-offs, an optimizer settles it on the math, and you get one signed decision: the move to make, what it's worth in dollars, and an audit trail a board or regulator will accept. All in minutes. No data-science team to hire, and your data never leaves your tenant.
Read-only, from any source you already use. Nothing to model, no cleanup marathon.
Forecasting, optimization and risk math, run for you and handed back as a plain-English call, not a chart.
It runs in your tenant; the AI only ever sees coded stand-ins for your suppliers and sites.
A dashboard shows you totals and leaves the thinking to you. Synapchain reads across every lane, supplier and SKU at once, finds the pattern that's actually hurting you, and hands back a decision you can sign, with the reasoning attached, run on your own data.
One it flagged in the Hardware demo: buried in the data, premium "First-Class" freight was arriving late more often than plain standard shipping on the same lanes, a fix no dashboard surfaced. That's the kind of call it's built to catch, and the card on the right is the shape of what it hands you.
Not another dashboard to read. Synapchain hands you three things you can carry straight into a boardroom. Decision-first, every time.
One recommended action in plain English, on your named lanes, SKUs and suppliers. Not a chart to interpret.
The money attached to the call, in the language your CFO and board already speak.
The reasoning, the evidence, and an immutable record of who signed, so you can stand behind the decision under scrutiny.
You don't need a board run to get an answer. Ask your live data a plain-English question and get it back in seconds, grounded in the real rows, cited, with a chart when the numbers call for one. No SQL, no analyst, no waiting.
Point Synapchain at the shipment, supplier and inventory data you already keep. A board of AI specialists reads it, argues the trade-offs the way your best people would, an optimizer settles the math, and you approve the result. Nothing to model, nothing to clean, no data team to hire, and nothing executes on its own.
Your shipments, suppliers, contracts, and the news around your lanes. Read-only, as they are.
A board of AI specialists weighs cost vs. service vs. risk. They disagree on purpose, like your best people would.
An optimizer resolves the debate on the numbers, not the loudest voice. Every figure traces back to your data.
One decision with the dollar case attached. A person approves every call; then it's on the record.
Transparent recommendations, governed execution, defensible records, all in one workflow. Everything the CFO, Risk and IT ask about is handled before they ask.
Every decision is written to an immutable, hash-chained record: the action, the reasoning, and who signed, time-stamped. Nothing to reconstruct after the fact.
It runs inside your own tenant, and the AI only ever sees coded stand-ins for your suppliers and sites, so your competitive intelligence never becomes anyone else's training data.
When the model isn't confident enough to stand behind a call, the decision is blocked and escalated to a human.
A person signs off on every call. The board advises; you decide.
The modeling, optimization and risk math run for you on the data you already have. No project, no cleanup marathon, no headcount.
Run a real decision, end to end, on live data, before you connect a thing. No slideware, no six-week integration, no data team. Hover a demo to see exactly what it runs on.
The parts that gate everything you build. 180,519 real shipments across global lanes.
The deliveries you can't afford to have late. 10,324 real shipments across 73 suppliers.
Excursion monitoring today runs on the Intel Berkeley Lab 2004 dataset, real ambient/building-sensor readings (about 15 to 30°C), used as a public proxy to test the excursion model. It is NOT pharma reefer data (2 to 8°C) and is not connected to any client's own loggers; a documented swap path exists to plug in a real 2-8°C logger feed. Ask us.
Enter your name, work email and organization, and you go straight into the Command Deck: a live workspace where the board runs real Hardware and Pharma decisions in front of you. This demo runs on our data; your own instance always runs on yours.
Jumping you straight into a live decision on real data.
Open the Command Deck →