Active events
2
Current event watchlist
graphATLAS by Panamorphix
When signals fragment, decisions fail
Teams rarely miss the alert. They lose time reconstructing what it touches across entities, dependencies, exposure, and operational consequence. graphATLAS exists to put that missing chain back in view before the decision window closes.
Explore SectorsBuilt for teams working across reinsurance, banking, insurance, healthcare, government, and defence.
Overview
Active catastrophe events, climate-state signals, and conflict drag across the portfolio.
Climate signals
3
2 peril classes elevated
Conflict drag
2
Active or escalating disruption
Triggered layers
2
2 live event chains
Active Events
Compact live watch rows for the current catastrophe stack.
Flooding in Bangladesh Delta
floodBangladesh CoastalBangladeshHybrid
7.8 Deterministic
The problem
Most signals arrive alone. Decisions never are.
Teams do not struggle because there is no alert. They struggle because the context around it is split across entities, dependencies, exposure, and operational consequence.
By the time that chain is reconstructed by hand, the decision window is already smaller and the consequence has usually moved further than the team's clarity.
Signals land in one place. Consequences do not.
A signal may enter as one alert, but the risk spreads through counterparties, jurisdictions, suppliers, infrastructure, and operating decisions.
Context gets stitched together too late.
The chain usually sits across feeds, systems, documents, and disconnected workflows, so clarity arrives after the pressure to act.
Speed without rationale is not enough.
Fast decisions still break down when no one can show what changed, what it touched, and why the action was justified.
Graph reveal
See the chain behind the signal
graphATLAS starts with one incoming signal, reconstructs the connected context around it, and keeps the rationale in view when the decision arrives.
Graph canvas
Context field waiting for the next signal.
Indicators
Regulation
Entity
Exposure
Signal
Florida outbreak load
Indicator
Norovirus evidence
Indicator
Hospital pressure
Anchor entity
United States
Cross-domain risk
Regulatory recall
Exposure
Treatment gap
Indicator
Funding signal
Secondary surface
Opportunity read
Intelligence foundation
Built on sector depth. Strengthened by your own data.
graphATLAS begins with large sector-specific intelligence baselines, then extends them with your own data, systems, documents, and feeds.
It does not collapse everything into one undifferentiated model. It preserves what is known, what is inferred, and what is derived, so decisions remain inspectable.
Baseline graph
Sector-specific intelligence is already structured and connected, so graphATLAS starts with real context, not an empty canvas.
Your data
Internal systems, documents, vendor feeds, and operational data deepen the graph where your organisation is unique.
Truth lanes
Facts, signals, and derived intelligence remain distinct, in truth lanes, so teams can see what is certain, what is inferred, and what needs judgement.
Because decisions weaken when every kind of data is treated as if it means the same thing.
Signal to decision
From signal to decision, without stitching it together by hand
01
Signal detected
An event enters without context.
02
Context reconstructed
Related entities, infrastructure, and dependencies connect.
03
Exposure revealed
The knock-on impact becomes visible.
04
Rationale attached
Every link is inspectable, not assumed.
05
Action supported
Decisions are made with the chain in view.
Sector entry points
One graph. Sector-specific context.
Each sector starts from a different signal, but the underlying problem is the same: fragmented context and delayed decisions. graphATLAS reconstructs that context, then adapts it to the way each sector operates.
REINSURANCE INTELLIGENCE
Reinsurance
See catastrophe, treaty, and exposure context as one connected chain.
Explore sectorBANKING RISK INTELLIGENCE
Banking
Understand counterparty, sovereign, and sanction exposure before it compounds.
Explore sectorINSURANCE INTELLIGENCE
Insurance
Follow accumulation and dependency before it turns into loss.
Explore sectorHEALTHCARE INTELLIGENCE
Healthcare
Trace procurement, supply, and infrastructure risk through real dependencies.
Explore sectorGOVERNMENT INTELLIGENCE
Government
Connect policy, infrastructure, and operational impact in one view.
Explore sectorDEFENCE INTELLIGENCE
Military and Defence
See threat, logistics, and operational exposure as a single system.
Explore sectorOperational outcomes
What changes when the chain becomes visible
See the knock-on impact before it becomes cost
Follow the signal into real-world consequences, not isolated alerts.
Stop stitching context together across tools
The relationships are already there. graphATLAS makes them visible.
Move faster without losing the rationale
Every decision stays attached to an evidence path.
Proof and explainability
Built for decisions that need to stand up
graphATLAS does not separate output from explanation.
The context behind a decision remains attached: what connected, what changed, what it impacts, and why it matters. So teams can act and explain why they acted.
Inspectable context chainsEvidence stays attachedDeterministic and scored signals kept distinctDesigned for environments where decisions are reviewed
Source
A signal enters with source, time, and state.
The starting point stays visible. The output never loses where it began.
Reconstructed chain
What connectedWhat changedWhat it impactsWhy it matters
The chain is visible before action is proposed, so the user can inspect it instead of trusting an isolated alert.
Action support
Action sits beside the rationale.
Teams can act, escalate, or defend the decision with the chain still in view.
Launch graphATLAS
See what a signal actually touches
Launch the demo and watch a single signal expand into the context it actually carries.