See supply-chain risk before it reaches your revenue.

Chainsilience turns global disruption signals into scored, explainable risks on a live model of your chain.

16+
Global intelligence sources
30s
News poll interval
10,000
Scenarios simulated per risk
24/7
Continuous monitoring

Start free, scale when you're ready

Transparent tiers that grow with the size and criticality of your supply chain.

Starter
$0/ forever

For a single team getting started.

  • 1 company digital twin
  • Daily news scan
  • Core AI risk scoring
  • Community support
Most popular
Growth
$499/ month

For teams running live risk operations.

  • Multiple digital twins
  • Real-time news ingestion
  • Monte Carlo simulation
  • Multi-objective mitigation scoring
  • Email alerts and Action Center
  • Priority support
Enterprise
Custom

For organisations with scale and compliance needs.

  • SSO and role-based access
  • Dedicated Nemotron throughput
  • Custom data integrations
  • SLA and dedicated support
  • On-prem / VPC deployment

Resilience, made computable.

Supply chains break in ways spreadsheets cannot anticipate. Chainsilience AI was built to turn the constant noise of global events (earthquakes, port congestion, export controls, strikes) into a clear, ranked picture of what threatens your business and what to do about it.

We pair a live digital twin of your network with explainable AI scoring and Monte Carlo simulation, so every recommendation arrives with its reasoning attached rather than as a black box.

01 / 07

Tier-2 supplier

Silicon wafer · Hsinchu

Two tiers above your bill of materials, one fab supplies most of the wafer in your sensor line. The twin holds that relationship, so a Hsinchu event is scored against your revenue instead of filed as foreign news.

02 / 07

Tier-1 supplier

Sensor array · Shenzhen

Your direct supplier assembles the array. Its own dependency on the wafer above is an edge in the graph, and that edge is what makes an upstream shock traceable down to a part number.

03 / 07

Port of origin

Kaohsiung

Cargo enters the physical network. Dwell time here is the first point where a delay stops being a forecast and becomes something you can measure.

04 / 07

Ocean route

Transpacific · 18 days
Congestion detected

Eighteen days with no ability to re-order. This is where the relevance agent earns its place: congestion on this lane is yours, the same report on a lane you do not use is noise.

05 / 07

Port of entry

Long Beach

The delay lands, quantified. Monte Carlo turns what is left of the schedule into a probability of stopping the line, rather than a yes or a no.

06 / 07

Assembly

Monterrey

Buffer stock is finite. Mitigations are ranked here on service, cost and recovery time together, so the trade-off is explicit before anyone approves it.

07 / 07

Customer

Austin

The number that mattered the whole way down. Every score upstream is expressed as revenue at risk here, because that is the only unit the decision is actually made in.

Tier-2 supplier
Silicon wafer · Hsinchu
Tier-1 supplier
Sensor array · Shenzhen
Port of origin
Kaohsiung
Ocean route
Transpacific · 18 days
Port of entry
Long Beach
Assembly
Monterrey
Customer
Austin

Watch it run.

A walkthrough of the real dashboard: a live disruption arriving, the risk it raises, the factors behind the score, and the mitigation tracked to completion.

Let's map your risk together.

Book a 30-minute walkthrough and we'll build a sample digital twin for your chain, or send a message and we'll reply within one business day.