Build and orchestrate AI agents with a slider of autonomy for safe, outcome-driven automation

Every agent built with Eureka follows the same disciplined pattern to ensure reliability and traceability.
Always-on monitoring of signals, trends, anomalies, and events across enterprise and external sources.
Example: Detect that a new promotion is underperforming in a key region based on real-time sales data.

Structured analysis, hypothesis generation, tool use, and policy-aware decisioning using LLMs.
Example: Autonomously perform a root cause analysis, correlating sales dips with local competitor pricing and inventory levels.

Execute steps directly or trigger deterministic workflows—with approvals, notifications, and audit trails.
Example: Automatically plan a targeted discount campaign in the underperforming region and notify the regional manager for approval.

Eureka agents continuously loop through the perceive-reason-act cycle, using feedback from their actions to refine decision-making processes and improve capabilities over time.
AI-ready data foundation
Reason with business context, not raw noise.
Hybrid by design
Mix autonomy and control in a single workflow.
Enterprise governance & trust
Ship fast without losing control.
Scale and impact
Build once, deploy across multiple workflows.
Secure integration
Connect to any system, safely.
Autonomous evidence gathering and pattern analysis; deterministic case packaging and review workflow.
Agent perceives anomalies from telemetry, reasons over likely causes, and routes to a deterministic work order flow.
Agent performs root cause analysis on underperforming promotions, then triggers a deterministic price/promo update sequence.
Agent detects anomalies in system logs, reasons over root causes, and routes to a deterministic remediation workflow.
Launch prebuilt agents for instant impact. Then create and connect your own with Eureka Agent Builder, setting the right level of autonomy for every process.