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Platform

The observability platform for AI agent operations

Companies are deploying AI agents to run critical operations. But they have zero visibility into what these agents actually do. Empress is the missing data layer that makes AI agents measurable, optimizable, and controllable at scale.

You can't optimize what you can't see

Just like Amazon can't run shipping without package tracking, you can't run AI agents without operational intelligence. Without observability, you can't:

Understand why an agent made a decision
Optimize agent performance and costs
Debug when things go wrong
Prove compliance to regulators
Measure ROI on AI investments
Improve agents systematically
What Empress captures
WHOAgent identity, version, permissions
WHATAction taken with full parameters
WHENTimestamp, duration, sequence
WHYContext, reasoning, triggers
RESULTOutcome, effects, success/failure

One platform, three layers of value

Start with compliance. Expand to operations. Evolve into intelligence.

Layer 1

Compliance

EU AI Act requires auditable AI decisions by August 2026. Companies face €35M fines if non-compliant. Get complete audit trails with one-click reports.

  • Complete audit trail in xAPI
  • SOC 2, GDPR, HIPAA, EU AI Act
  • Tamper-evident records
Learn about compliance →
Layer 2

Operations

AI agents make business-critical decisions but teams can't measure performance, optimize costs, or ensure quality. Get real-time operational intelligence.

  • Performance monitoring
  • Cost analytics by agent
  • Bottleneck identification
Explore analytics →
Layer 3

Intelligence

Companies can't systematically improve AI agents because they lack comprehensive operational data. Learn from every action and evolve continuously.

  • Pattern detection
  • Anomaly detection
  • A/B testing infrastructure
Coming soon
Built on xAPI

Industry-standard format, portable and proven

xAPI has been the standard for learning and experience data for over 10 years. We're bringing this battle-tested format to AI agent operations. Your data is never locked in, always exportable, and recognized by compliance teams worldwide.

10+
Years proven
100%
Portable
0
Lock-in
// xAPI Statement
{
  "actor": {
    "name": "Finance Agent v2.3",
    "account": { "name": "agent-892" }
  },
  "verb": {
    "id": "processed",
    "display": "processed refund"
  },
  "object": {
    "id": "refund-127",
    "definition": {
      "name": "Customer refund $127.50"
    }
  },
  "result": {
    "success": true,
    "extensions": {
      "satisfaction": "+23%",
      "cost": "$0.32"
    }
  },
  "context": {
    "extensions": {
      "customer_ltv": "$4,200",
      "reasoning": "High LTV, low risk"
    }
  }
}

Answer questions that matter

Real operational intelligence for real business decisions

Investigation

Why did our refund agent approve 3x more returns today?

Optimization

Which shipping routes is our agent choosing and are they optimal?

Cost Control

Our AI costs jumped 40% this month—why?

Performance

Agent v2.3 processes requests in 847ms vs v1.9 at 1,247ms

Pattern Detection

What decision patterns lead to customer complaints?

Compliance

Are we compliant with EU AI Act Article 14?

Works with any agent framework

One integration, permanent visibility. SDKs for Python, Node.js, Go, and a REST API for everything else. Get started in minutes.

LangChain
AutoGPT
CrewAI
OpenAI
Anthropic
Custom
View all integrations →
# Install the SDK
pip install empress
# Record an action
from empress import track

track(
actor="support-agent",
verb="resolved",
object="ticket-892",
result={"success": True}
)

Know what your AI agents do

From compliance to operations to intelligence. Start with the data layer.