Skip to content
EVENT / TOPICWatching

Epsilon launches intent-driven UI testing platform using Amazon Nova Act

1 reports1 sources10/29/2026 updated

Current overview (not historical)

AI overview

Epsilon, part of Publicis Groupe, has built an intent-driven UI testing platform leveraging Amazon Nova Act and Amazon Bedrock AgentCore Browser Tool. The service addresses the challenge of keeping test coverage pace with rapid application changes by transforming UI testing into a platform-level management service. Onboarded teams can run tests within scoped roles in their own AWS accounts, with test execution handled by Epsilon's dedicated runner service (FastAPI sidecar). The implementation uses nova-act 3.x with Workflow and IAM authentication alongside the Amazon Bedrock AgentCore Browser Tool client.

Written with AI from the reporting · updated 10/29/2026

EventGraph Explorer

One time cutoff for reports, relations and evidence.

EVENTGRAPH EXPLORER
Open in the standalone explorer ↗
EVENT REPLAYStep 1 / 1

New at this step ·Epsilon builds intent-driven UI testing platform with Amazon Nova Act

Reports in replay
1
First-party
1
Sources
1

Reports first seen at this step · 1

Discovery-time replay; the linked graph and evidence share this cutoff. The full overview and activity remain current.

Event developments

1 developments
  1. 10/30/2026, 2:33:14 AM

    Epsilon builds intent-driven UI testing platform with Amazon Nova Act

    AWS Machine Learning Blog

Filtered by first discovery; only representative reports already discovered by this cutoff are shown. Story grouping may have changed later, so this is not a complete historical snapshot.

Bounded reconstruction, not an exact snapshot: entity names, relationship text and story grouping may include later revisions. Overview and full source archive below remain current.

Story route

A station-by-station route from the first public evidence onward; every station carries its own evidence and uncertainty.

  1. 1Oct 30, 00:00recorded Oct 30, 02:33single source

    Epsilon 使用 Amazon Nova Act 实现意图驱动 UI 测试

    Read original source ↗ AWS Machine Learning BlogReplay this moment in the explorer

Uncertainty marks flag where to check the sources; they are not proven causation.

Full source archive (current)

Current public reports; outside the historical replay.

First-party sources · 1 reports

  • AWS Machine Learning Blog · Oct 30, 02:20
    Epsilon builds intent-driven UI testing platform with Amazon Nova Act

    Epsilon, a data and marketing-services company part of Publicis Groupe, has launched a managed UI testing service using Amazon Nova Act and Amazon Bedrock AgentCore Browser. The platform delivers intent-based testing as a multi-tenant service, allowing product teams to run resilient UI tests via API without maintaining browser infrastructure. A 18-step test workflow demonstrates the capability, which layers intent-based testing on top of Epsilon's existing Playwright regression suite.

    Read original source ↗

Independent coverage · 0 reports

No verifiable reports in this group yet.

Different reports do not necessarily disagree. Check original sources and publication dates.

Report timeline

Explore every side through dated source reports.

Oct 30
  1. AWS Machine Learning BlogSelected
    Epsilon builds intent-driven UI testing platform with Amazon Nova Act

    Epsilon, a data and marketing-services company part of Publicis Groupe, has launched a managed UI testing service using Amazon Nova Act and Amazon Bedrock AgentCore Browser. The platform delivers intent-based testing as a multi-tenant service, allowing product teams to run resilient UI tests via API without maintaining browser infrastructure. A 18-step test workflow demonstrates the capability, which layers intent-based testing on top of Epsilon's existing Playwright regression suite.

Event activity trend

Latest comparable
3
Comparable peak
1010月30日 03:00
24h change
-50%

The chart compares consistently observed participants only. Hover or tap to inspect each hour; use arrow keys to move between observations.