Meridian Autonomy is continuous intelligence infrastructure for AI risk exposure. It resolves institutions, vendors, agents, evidence and governance edges into a living topology, then makes that substrate searchable, comparable and accessible through terminal, semantic search and API interfaces.
See the structure of AI risk exposure across institutional estates, shared vendor surfaces and governance dependencies.
Convert public evidence into comparable signals across institutions, sectors and regulatory regimes.
Ask questions across governance artefacts, disclosures, vendors, systems and institutional posture.
Monitor monthly substrate movement, vendor concentration shifts and emerging exposure.
Model concentration, dependency and blast-radius risk across institutions, vendors and regimes.
Use machine-readable endpoints and terminal workflows for internal risk and supervisory pipelines.
Governance topology is the means. Risk exposure is the end. Meridian Autonomy constructs the topology from public evidence and rates the exposure that topology produces, at five levels.
One bank, one insurer, one asset manager. Its governance topology, its single-vendor exposure, its halt mechanisms, its compliance gaps.
Banking, insurance, asset management, fintech. Where exposure concentrates, which gaps repeat, which institutions sit at the centre of the mesh.
EU, UK, US, APAC, MEA, LATAM. Jurisdictional concentration, supervisory authority overlap, cross-border vendor dependency.
Cross-industry dependence on a small set of hyperscalers, foundation model vendors, and enterprise vendors. Where one outage cascades.
The shape of the whole. Where shared surfaces create correlated exposure that no individual institution can see or manage on its own.
Credit ratings rate institutional default risk. They reach tier one. Meridian Autonomy rates AI risk exposure across all five.
Access is granted by jurisdiction and institution type. Waitlist members receive the following, in order: