Alpha · AGPLv3 Open Core · Self-Hosted

Engineering intelligence
that doesn't leak.

Understand delivery flow, bottlenecks, and engineering health without making another SaaS your default data boundary — starting with real UI, synthetic data, and status-labeled roadmap capabilities.

Try synthetic demo Read docs View pricing preview

No login

No real company data

Synthetic Sandbox Inc. metrics

v0.1.0-alpha

Metraly VP Engineering dashboard using synthetic data

Synthetic insight

Review queue increased this sprint

Likely bottleneck: overloaded reviewers

Build in public

Metraly is being built in the open.

The interface you see is real. Dashboards are actively being developed. Data integrations and real-world workflows are the next step.

Product

Understand how engineering actually delivers.

A focused engineering intelligence surface for delivery health, bottlenecks, dashboards, and privacy-first AI direction.

DORA metrics

Preview

Preview DORA-style metrics such as deployment frequency, lead time, change failure rate, and MTTR across synthetic team data.

CI/CD insights

Preview

Preview build health, pipeline friction, recovery patterns, and delivery risk before live CI/CD integrations are connected.

Team bottlenecks

Preview

Preview where work slows down across synthetic PR, review, CI, and handoff patterns.

Dashboard editor

In progress

Drag-and-drop dashboard editing and real rendering are actively being developed.

Private AI insights

Designed

Designed for local models, BYO providers, and controlled data exposure.

Plugin ecosystem

Planned

A planned extensibility layer for connectors and custom workflows, gated by plugin review, signing, and revocation controls.

Data Sovereignty

Your engineering data stays under your control.

Metraly is designed to run on your infrastructure, so repository, CI/CD, project, and team signals can be analyzed without routing sensitive engineering data through another SaaS platform.

Deploy where your team works

Start locally or in your own VPC. Enterprise deployment patterns are being designed for regulated and restricted environments.

Open-core auditability

The core platform is AGPLv3 open-core, so the code path that handles engineering metrics can be reviewed and audited.

Audit-friendlyGDPR-aware designRestricted-environment roadmap

Role-based views

Different teams need different signal.

Metraly is structured around the way engineering organizations actually operate: leadership, team execution, platform health, and delivery risk.

VP Engineering

Track delivery health, risk, sprint predictability, and cross-team bottlenecks.

CTO

Understand strategic engineering health without asking every team for manual updates.

Tech Lead

See PR queues, review latency, flaky tests, and blocked work before they become incidents.

DevOps / Platform

Watch CI/CD health, MTTR, operational friction, and recovery patterns.

Private AI Direction

AI insights designed for private engineering data.

Metraly is designed to support local models, BYO providers, and controlled data exposure. The AI layer is part of the product direction and should stay status-labeled as it evolves.

DesignedPro roadmapSynthetic examples

Synthetic insight preview

Designed

Review queue time increased this sprint. The likely bottleneck is overloaded reviewers on a critical service.

Example output only. AI features should be labeled by implementation status before launch.

Integrations

Designed to connect with your engineering stack.

Connectors and live data pipelines are the next major product step after the dashboard editor and rendering work are complete.

Git providers

Then

GitHub and GitLab connectors are planned for real repository and PR workflows.

CI/CD systems

Then

Pipeline and build data integrations are planned for delivery health and operational insight.

Plugin ecosystem

Later

A marketplace-style extension layer is part of the long-term platform direction and requires review, signing, and revocation controls before public launch.

Roadmap

What exists. What’s next. What we’re validating.

The website should make the current maturity visible: real UI and synthetic workflows now, dashboard editing next, connectors and real user cases after that.

Available today

Real UI and synthetic workflows

Role dashboards
Metrics explorer
Workflow simulation
Engineering trend signals

In progress

Dashboard editing and rendering

Dashboard editor
Drag-and-drop layouts
Real dashboard rendering
Demo environment alignment

Validation phase

Real integrations and use cases

GitHub / GitLab connectors
CI/CD integrations
Real data pipelines
First production pilots

Future direction

Enterprise and AI expansion

Private AI insights
Plugin ecosystem
Enterprise deployment patterns

Explore Metraly with synthetic data.

See real workflows before live integrations are available. No login, no real company data, no credentials.

Open synthetic demo

Engineering intelligence
that doesn't leak.

No login

No real company data

Synthetic Sandbox Inc. metrics

v0.1.0-alpha

Synthetic insight

Review queue increased this sprint

Likely bottleneck: overloaded reviewers

Engineering intelligencethat doesn't leak.

Metraly is being built in the open.

Understand how engineering actually delivers.

Your engineering data stays under your control.

Different teams need different signal.

AI insights designed for private engineering data.

Designed to connect with your engineering stack.

What exists. What’s next. What we’re validating.

Explore Metraly with synthetic data.

Engineering intelligencethat doesn't leak.

Metraly is being built in the open.

Understand how engineering actually delivers.

Your engineering data stays under your control.

Different teams need different signal.

AI insights designed for private engineering data.

Designed to connect with your engineering stack.

What exists. What’s next. What we’re validating.

Explore Metraly with synthetic data.

Engineering intelligence
that doesn't leak.

Engineering intelligence
that doesn't leak.