Causal intelligence
for critical systems_
Manifold maps, scores, and stress-tests fragility across the world's most consequential networks — supply chains, infrastructure, capital flows, and geopolitical structure.
If this node fails, 37 downstream nodes lose function. Try this on your own graph ›
Find your domain. Each one explains the problem Manifold solves for it — in plain terms, before any of the math.
Foundries · fabs · advanced materials
Power · water · ports · telecom · rail
Trade flows · sectoral GDP · exposure
Banks · settlement · sovereign credit
Grid · oil · gas · transition tech
Sanctions · conflict · export controls
Research infra · instrumentation · talent
Reinsurance · specialty lines · ILS · cat
Discover the causal topology of a critical system from observational data.
Quantify Ω-Fragility for every node across five canonical pillars.
Counterfactual failures, cascade simulation, tail-risk statistics.
What your analyst sees 4 seconds after flagging TSMC Arizona-1.
Critical single-source. A 90-day outage cascades to 37 downstream nodes — including 4 of the top 5 positions in the mobile and accelerated-compute book.
Without Manifold: 2–3 analyst-days to assemble. With Manifold: this screen.
Each pillar is scored 0–10. Composite ΩF is a weighted average — the weights are configurable per domain. A reinsurer evaluating sovereign credit weights J and T heavily; a supply-chain operator leans on I and R.
How fragile the system is overall, weighted by what flows through each node. Catches fragility hidden in high-volume chokepoints.
How fragile the system is when you weight by what's actually at risk — sanctions, capital, geographic concentration.
Request access to Manifold.
Trial accounts run for 48 hours with a curated dataset. Authorized accounts are issued by invite.
