Skip to content
BlayerAI

AnalyticsOps

Analytics you can trust, from the first event.

BlayerAI turns your tracking plan into tested, monitored events. It writes the implementation, checks it across every platform you use, and hands your engineers a pull request to review.

By joining you agree to our privacy policy.

Free early access for founding teams. No credit card.

Try the interactive demo · See how it works

Dashboard · illustrative data
Events processed
2.4M
Data quality
98.7%
Monitors
156
Open anomalies
3

Event volume · last 12 hours

Platform status

  • GA4Healthy
  • MixpanelHealthy
  • Segment1 warning
See it in action

From tracking plan to merged pull request.

A scripted walkthrough of the agent working across GA4 and Mixpanel. The output is illustrative, not live data.

blayerai-agent · simulated
$ blayerai run --plan tracking-plan.yaml --platforms ga4,mixpanel› Reading tracking plan: 8 events› Connected: GA4, Mixpanel› Generating implementation for Next.js…✓ add_to_cart  — implemented, tests passing✓ purchase     — implemented, tests passing! begin_checkout — currency missing in Mixpanel payload› Fixing parameter mapping…✓ begin_checkout — fixed, parity confirmed› Opened pull request #214: Add 8 tracking eventsDone. 8/8 events validated across 2 platforms.
Why teams use it

Measurement that holds up after every release.

Instrumentation drifts whenever product code changes. BlayerAI removes the manual work that lets it happen.

  • Fits the workflow you already have

    Every change arrives as a pull request in your own repository. Engineers review and merge as usual, and nothing is injected behind their back.

  • From plan to code in one step

    Hand over the tracking plan and receive working, tested event code for your framework, instead of a ticket that waits in the backlog.

  • One version of the truth

    Each event is verified in every connected platform, so GA4, Mixpanel and the rest tell the same story before anyone has to ask why they don't.

Where the time goes today

  • Weeks

    to implement a tracking plan by hand

  • Days

    to find out what a release broke

  • Hours

    to explain why two tools disagree

Before and after

The same work, done differently.

Manual tracking

  • A tracking plan in a spreadsheet that no one enforces
  • Event code written, tested and repaired by hand
  • Breakages found weeks later, inside a report
  • Platforms that each report a different number
  • Analysts and engineers trading screenshots

With BlayerAI

  • An executable plan, checked on every change
  • Event code generated, tested and delivered as a pull request
  • Breakages flagged within minutes of a release
  • Every platform reconciled against the same events
  • One shared dashboard and a full audit trail
How it works

Four stages, one continuous loop.

  1. Implement

    Connect a platform and a repository. BlayerAI reads your tracking plan and writes the event code for your framework.

  2. Test

    Each event is exercised automatically for structure, required parameters and data types before anything ships.

  3. Validate

    Payloads are compared across GA4, Mixpanel and the rest of your stack, so mismatches surface while they are cheap to fix.

  4. Monitor

    Volume, schema and cross-platform parity are watched continuously, and the right person is alerted when something drifts.

Integrations

Connects to the tools you already run.

Send events to the platforms your teams rely on, and deploy to the stack your product is built on.

  • Analytics platforms

    • Adobe Analytics
    • Amplitude
    • GA4
    • Heap
    • Mixpanel
    • Pendo
    • Segment
  • Session & behaviour

    • FullStory
  • Frameworks

    • Angular
    • Next.js
    • React
    • Vue
  • CMS & e-commerce

    • Shopify
    • Sitecore
    • WordPress
    • Wix

More than twenty others are supported, and custom integrations are available on request.

Capabilities

Everything between the plan and production.

  • Implementation engine

    Converts your tracking plan into event code for your stack and proposes it as a reviewable pull request.

  • Automated event testing

    Runs structural and parameter checks on every change, so defects are caught before they reach production.

  • Cross-platform validation

    Compares what each platform received for the same event and flags any disagreement.

  • Continuous monitoring

    Watches event volume and schema around the clock and routes alerts to the person who can fix the issue.

  • Unified dashboard

    A single view of event health, platform status and open issues, in place of a tab per tool.

  • Team workflow

    Roles, review steps and an audit trail keep analysts, engineers and marketers working from one record.

Use cases

Built around the events that matter most.

  • E-commerce

    Protect the path from product view to purchase, so revenue reports match what the shop actually sold.

    • view_item
    • add_to_cart
    • begin_checkout
    • purchase
  • SaaS

    Keep activation and feature-adoption events intact through every release, so product decisions rest on real usage.

    • sign_up
    • onboarding_complete
    • feature_used
    • plan_upgraded
  • FinTech

    Maintain the events that risk and compliance teams depend on, with a record of every change.

    • kyc_started
    • kyc_verified
    • payment_initiated
    • payment_settled

Built for every role

  • Data engineers

    Stop debugging pipelines that broke because an upstream event changed.

  • Product analytics leads

    Rely on the funnels and cohorts your roadmap is built on.

  • Growth and marketing

    Get conversion data that agrees across ad platforms and analytics.

  • Engineering leaders

    Take analytics off the backlog without adding risk to releases.

Security and trust

Designed for teams that get asked the hard questions.

  • Aligned with SOC 2

    Controls modelled on SOC 2 from the start.

  • GDPR-aware

    Operated from the EU and limited to metadata.

  • Your data stays yours

    Raw event data remains in your own environment.

  • Human-approved changes

    Nothing merges until your team approves the pull request.

Questions

What teams ask before they start.

GA4, Mixpanel, Adobe Analytics, Segment, Amplitude, Heap, Pendo and FullStory today. More than twenty others are supported, and we build custom integrations on request.

Give your analytics a reliable foundation.

Join the founding teams: free early access, lifetime pricing and priority onboarding.

By joining you agree to our privacy policy.