Cross-layer reliability for enterprise infrastructure
One incident narrative across campus, WAN, data center, cloud and applications — with the traceable evidence regulated teams need.
The estate is hybrid. The war room is manual.
Enterprise infrastructure spans on-premises data centers, WAN and campus networks, several clouds and hundreds of applications. Observability is strong inside each domain and weak between them, so incidents that cross the boundary — most of the expensive ones — are assembled by hand from screenshots and chat threads.
In regulated industries the bar is higher: after the incident, teams must show what happened, why, and what was done about it. That evidence is usually reconstructed after the fact.
Raincurve connects the domains into one dependency graph, produces a single evidenced incident narrative, and records every recommendation and action as it happens.
A staged reasoning pipeline
Curve-1 decomposes cross-layer reliability into inspectable stages instead of one opaque model.
Pre-filter
An IQL-based scorer identifies high-risk signals in about 2 ms, keeping continuous operation economical.
Encode
A contrastive temporal encoder places event sequences from every layer in one shared space.
Hypothesize
A latent diffusion model proposes calibrated root-cause hypotheses from incomplete evidence.
Cluster
Hawkes-process clustering assembles network, compute, cloud and application symptoms into one incident.
In production
Built for accountable operations
Evidence attached
Every hypothesis links to the signals and dependencies behind it, so conclusions can be checked, not just trusted.
Policy-controlled response
Actions pass through verification and approval steps you define, with separation between recommendation and execution.
Private and hybrid deployment
Runs inside your environment; no operational data needs to leave it.
Audit trail by default
Incident timelines, decisions and actions are recorded as they happen, ready for post-incident review and audit.
Works with your stack
Reads from existing observability, CMDB and cloud APIs; writes to ITSM, chat and paging tools.
Progressive automation
Start read-only, move to recommendations and approvals, then automate well-understood actions.
Platform capabilities used here
Every solution runs on the same Raincurve platform.
How engagements start
Enterprise engagements usually start with a Tier 1 assessment of recent cross-domain incidents.
Infrastructure Assessment
A scoped read of your topology, telemetry and recent incidents. We map cross-layer dependencies, replay past incidents through Curve-1 and show where time to resolution is lost.
Production Pilot
Raincurve runs alongside your existing tools on a defined slice of production — a hall, a region, a cluster — with success criteria agreed up front and measured weekly.
Enterprise Reliability Platform
Estate-wide deployment in your environment: continuous cross-layer reasoning, verified remediation workflows, and integration with your NOC, ticketing and change processes.
Technical documentation
Deployment, integrations and concepts for this environment.
Deployment guide
Private, hybrid and cloud topologies, sizing and security boundaries.
Open docs →DocumentationIntegrations
Telemetry, inventory, orchestration and ticketing sources Raincurve reads and writes.
Open docs →DocumentationPlatform concepts
Topology graph, contracts, hypotheses, incidents and verification.
Open docs →