CloudEagle.ai

CloudEagle.ai — Cross-tenant SaaS feature-level usage graph: live signals from 500+ integrations (identity providers, SaaS admin consoles, finance tools, admin audit logs, application APIs) assembled into a connected map of which modules and features each organisation and role actually uses, how deeply and how often, tied to the permission actually granted. Layered on top: peer benchmarks by company size and stack profile, tier-specific usage, seat recommendations and usage-driven renewal forecasts. A third and distinct layer is AI-governance telemetry - inventory and behaviour of AI agents a…

CloudEagle.ai offers (Alternative, Sentiment, Reference) — Order of 10^9-10^10 usage and permission events per year across tenants (inferred: several hundred thousand governed identities x 50-150 connected apps each x feature-level events per identity per app per month), plus 10^5-10^6 agent and policy-enforcement events as the AI-governance layer scales.

SaaS renewal-churn and seat-demand alternative data on public software vendors (module-level adoption depth predicts downgrades before revenue shows it); digital-adoption and feature-discovery model training on used-vs-ignored feature labels with tier context; identity-governance and least-privilege model training on granted-vs-exercised permission pairs and human access-review decisions; AI-agent safety and governance datasets - labelled over-permissioned agent behaviour, policy-violation and kill-switch events, plus a non-human-identity behavioural baseline (a genuinely new supervision class); shadow-AI detection models; procurement-negotiation agents trained on seat-recommendation outcomes.

The data is with 6 years of history.

Coverage spans US; Application Software; alternative, sentiment, reference; equities.

The supplier's own access route is a contact form. Request a sample through Brickroad to start.