01
Marketing
The Analytics QA Engine.
Echo is the first agentic Digital Analytics Assurance platform. A stack of agents that crawls your app, validates every event against your measurement plan, and files defects before broken tracking ever reaches production.
Echo is an enterprise software product from Enlighten AI Labs that replaces manual analytics QA with continuous, agentic oversight. Three named agents do the work. Scout uncovers: crawls every page, every flow, every event. Oracle validates: checks each event against your measurement plan. Ranger delivers: files defects to Jira or Asana with screenshots and reproduction steps already attached. Native integration with Adobe Analytics, Google Analytics, Mixpanel and more.
Bug-free. Grade-A data. AI-powered.
The High Cost of Unreliable Analytics
When tracking breaks,
the whole organization pays.
Analytics data is harder to trust than anyone wants to admit. A single missed event ripples downstream through campaigns, decisions, and the numbers you put in front of the board.
The named problem
Broken tracking is silent. It doesn’t crash the app, it corrupts the data.
Functional QA tests the buttons. Nobody tests the beacons. The failure surfaces weeks later, in a number that turns out to be wrong.
02
Product
Decisions made by gut feel when the underlying event data drifts.
03
Customer
Journey insights with holes in them when key events stop firing.
04
Executives
No visibility into the data integrity issues sitting under the dashboard.
The Echo Agents
Three agents. One pipeline. End-to-end analytics QA.
Scout uncovers. Oracle validates. Ranger delivers. Together they replace eight manual steps and a stack of brittle tools with one agentic workflow your QA team supervises instead of executes.
01 · Uncovers
Scout
Agentic field reconnaissance
Crawls your app like a real user, but with infinite patience and perfect memory. Generates intelligent test journeys against your measurement plan, no SDK required.
- Hands-free app exploration
- Intelligent test generation
- Native analytics platform support
02 · Validates
Oracle
Analytics integrity guardian
Compares every captured event against the measurement plan. Knows what should fire, when, and with which parameters. And reasons about every deviation.
- Broken tracking detection
- Measurement plan compliance
- Automated journey mapping
03 · Delivers
Ranger
Automated ticket commander
Files defects with the screenshots, repro steps, and event payloads already attached. Your QA engineers approve. They no longer write tickets from scratch.
- Contextual ticket generation
- Human-in-the-loop approval
- Project management integration
The Agentic Workflow
Eight steps collapse into
one agentic workflow.
Scout owns stages one through four. Oracle owns five and six. Ranger owns seven and eight. The whole loop runs continuously, not just at release.
Introducing the Future: The Agentic QA Workflow
Event Data QA is a Tedious, Thankless Job
Takes Days to Run E2E QA
Enter the Agentic Era: Faster QA, Hands-Free, In Minutes
Today
Hours
Hours
Hours
Hours
Days
Days
Hours
Hours
Process
1
Build
Ingestion
Ingestion
2
Device
Connection
Connection
3
Flow
Execution
Execution
4
Event
Capture
Capture
5
SDR
Validation
Validation
6
Defect
Reporting
Reporting
7
Ticket
Approval
Approval
8
Jira
Creation
Creation
Minutes
8+ → 1
Manual Steps Reduced
Days → Minutes
Time Per Regression Cycle
100%
Event Coverage, Not Sampled
< 30 min
Cycles That Used to Take Weeks
The Agentic Workflow
Eight steps collapse into
one agentic workflow.
Scout owns stages one through four. Oracle owns five and six. Ranger owns seven and eight. The whole loop runs continuously, not just at release.
- 1Build IngestionTodayHoursEchoMinutes
- 2Device ConnectionTodayHoursEchoMinutes
- 3Flow ExecutionTodayHoursEchoMinutes
- 4Event CaptureTodayHoursEchoMinutes
- 5SDR ValidationTodayDaysEchoMinutes
- 6Defect ReportingTodayDaysEchoMinutes
- 7Ticket ApprovalTodayHoursEchoMinutes
- 8Jira CreationTodayHoursEchoMinutes
8+ → 1
Manual Steps Reduced
Days → Minutes
Time Per Regression Cycle
100%
Event Coverage, Not Sampled
< 30 min
Cycles That Used to Take Weeks
Why Echo
The first and only platform built for mobile analytics QA.
01
First
Built for analytics testing on mobile apps.
A new category, Digital Analytics Assurance, purpose-built for the data layer, not the UI.
02
Only
Native testing for the major analytics platforms.
No SDK in your app. No instrumentation rip-and-replace. Echo speaks the platforms your team already uses.
03
Audit-Ready
Searchable across releases. Traceable over time.
A complete record of analytics health. Who passed, what failed, when, and what changed.
04
All-Inclusive
Software, engineers, execution, and support.
Optional forward-deployed engineers run the platform on your behalf, end-to-end.
Echo Delivers
Different teams. Same outcome. Analytics you can stake an earnings call on.
01
For QA Engineers
From button-pushers to mission commanders.
- Reduce testing cycles from weeks to minutes.
- Focus on high-value tasks instead of repetitive validation.
- Intercept analytics failures before production.
02
For Analytics Teams
From cleanup to insights.
- Stop building workarounds for bad data.
- Trust that the data accurately reflects user behavior.
- Comprehensive visibility across iOS, Android, and web.
03
For Business Leaders
From uncertainty to confidence.
- Reduce QA cost while improving data validity.
- Accelerate time-to-market without compromising quality.
- Eliminate revenue risk from undetected analytics failures.
Defense in Depth
Built for enterprise security review.
01
No Real Customer Data
Test accounts and test devices only. Real customer records never enter the Echo platform.
02
No PII Sent to LLMs
Only test-account data passes through. Echo runs against your own enterprise LLM under your policy.
03
No SDK Required
Zero Echo code in your customer-facing app. Your attack surface stays exactly as it is today.
04
Deploy In Your Cloud
SaaS for speed, or customer-managed in your AWS, GCP, or Azure perimeter. Full agent parity either way.
Frequently Asked Questions
Questions
About Echo
Fast answers below. The real conversation happens on a call.
Echo is the Analytics QA Engine, an enterprise software product from Enlighten AI Labs. It is the first agentic Digital Analytics Assurance platform, running three named agents — Scout, Oracle, and Ranger — to replace manual analytics QA with continuous, agentic oversight. Echo integrates natively with Adobe Analytics, Google Analytics, Mixpanel, Jira, and Asana.
Broken analytics. Events that drop, tags that misfire, client-side calls that fire on the wrong screen, server-side tags that never reach the destination, CDP routing that quietly drifts. Most enterprises run on mobile data they don’t fully trust, and the cost of finding out late is real. Echo finds the issues before your stakeholders do.
Three agents, one continuous loop. Scout uncovers, exploring the app with human-like intelligence and infinite patience. Oracle validates, checking every event against expected behavior and business rules. Ranger delivers, filing tickets and tracking them to closure. The loop runs continuously, not just at release.
Native iOS and Android apps, tag management implementations, CDP configurations, and both client-side and server-side tags. Web is on the roadmap, but Echo is mobile-first by design, where manual QA is hardest and the data quality risk is highest.
Mobile is where analytics breaks the most and is the most difficult to test. Native apps ship faster, change more often, and run on infrastructure that traditional validation tools were never built for. Echo simulates real apps, captures the events firing underneath, and validates them across the full pipeline. Client-side, server-side, CDP, and downstream destinations.
Manual QA is slow, sample-based, and bottlenecked by people. Existing validation tools check syntax and surface anomalies, but they don’t reason. Echo orchestrates the full QA lifecycle agentically, prioritizes what matters, files actionable tickets, and follows them to resolution. QA as a system, not a checklist.
Analytics, digital, and engineering leaders accountable for the integrity of customer data. CDOs, VPs of Analytics, Heads of Digital, mobile product owners, and the QA and engineering teams who own the tagging and CDP layer.
Weeks. Echo connects to the apps, tag management, and CDP environments you already run, and starts producing validation findings in the first sprint. SaaS for speed, customer-managed for zero third-party risk. Procurement, security, and governance are already cleared inside Fortune 500 clients.