The operational layer
for AI systems.
ElectriPy Cloud is the managed platform for teams running AI in production — trace storage, policy management, cost analytics, reliability dashboards, and evaluation tracking. One console for your entire AI fleet.
Product Preview
Full visibility into every AI system.
One console. Every agent, model call, policy event, and cost datapoint.
Reliability Score
98.4%
+0.3% vs last 7d
Avg Latency (P95)
1.24s
↓ 80ms vs last 7d
Policy Violations
3
Last 24h
Active Spans
1,284
Last hour
| Span Name | Model | Latency | Tokens | Status |
|---|---|---|---|---|
| support_agent.handle_ticket | gpt-4o | 1.1s | 2,840 | ok |
| policy_gate.evaluate_output | — | 12ms | — | violation |
| rag.retrieve_and_generate | claude-3-5-sonnet | 2.3s | 4,120 | ok |
| workload_router.route_request | — | 3ms | — | ok |
| llm_gateway.complete | gemini-1.5-pro | 890ms | 1,560 | fallback |
Platform Capabilities
Everything your AI fleet needs.
Built on top of the open source runtime. Every capability connects to the instrumentation already built into your system.
Unified Trace Storage
Every trace from every agent, model call, and tool invocation — stored, searchable, and queryable. Full OTEL compatibility means data flows in from any ElectriPy runtime.
- ✓Full-fidelity span storage with model metadata
- ✓Cross-session trace correlation
- ✓OTEL-native ingestion
- ✓Configurable retention policies
Policy & Governance Console
Define, deploy, and audit policies across all your AI systems from a single console. Violation history, approval queues, and structured audit exports — all in one place.
- ✓Centralized policy definition and versioning
- ✓Violation dashboard with trend analysis
- ✓Approval workflow management
- ✓Structured audit log export (JSON / CSV)
Cost & Token Analytics
Per-model, per-agent, per-team cost breakdowns derived from trace metadata. Identify expensive workflows and optimize before costs escalate.
- ✓Cost attribution by agent, model, and team
- ✓Token usage trends and forecasting
- ✓Provider cost comparison
- ✓Configurable budget alerts
Reliability Dashboards
Real-time visibility into circuit breaker state, retry rates, fallback frequency, and error rates — across all models and agents in your fleet.
- ✓Circuit breaker state and history
- ✓Retry and fallback rate trends
- ✓Error rate by model and provider
- ✓P50 / P95 / P99 latency tracking
Evaluation Tracking
Track evaluation scores over time, across deploys, and by dataset. Catch regressions before they ship. Compare model versions quantitatively.
- ✓Score history by scorer and dataset
- ✓Deploy-over-deploy regression detection
- ✓Model comparison views
- ✓CI-integrated quality gates
Team Access Controls
SSO, role-based access, and per-team data scoping. Give teams visibility into their own agents without exposing cross-team data.
- ✓SSO and SAML support
- ✓Role-based access control
- ✓Per-team data partitioning
- ✓Audit log for all console actions
FAQ
Common questions.
When will ElectriPy Cloud be available?
We are targeting an early access preview later this year. Sign up above to be notified and get priority access.
Is the open source runtime required to use ElectriPy Cloud?
Yes. ElectriPy Cloud is the operational layer built on top of the open source runtime. It ingests data via the standard OTEL export built into the runtime.
Will there be a free tier?
Yes. The Cloud will offer a generous free tier for small teams and individuals, consistent with our open source commitment.
How does data flow from my system to ElectriPy Cloud?
The ElectriPy runtime includes an OTEL exporter. Point it at the Cloud ingestion endpoint and all trace, cost, and policy data flows automatically.
Can I self-host ElectriPy Cloud?
Self-hosted enterprise deployment is on the roadmap for teams with strict data residency requirements. Contact us for early enterprise discussions.
Get early access.
Be among the first teams to run your AI fleet on ElectriPy Cloud.