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Engineering teams should not wait for — environments, data, approvals or DBA queues.

We help engineering teams get safe, production-like environments for development, testing and CI — without manual database preparation or waiting on DBA queues.

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The problem

Code is ephemeral
State is not

  • Compute provisionedautomatedInfrastructure spins up automatically in minutes
  • Database copy requestedmanualslowDeveloper opens a ticket, waits for DBA
  • Security reviewmanualslowData must be approved before reaching non-prod
  • Environment ready — already staletoo lateBy the time data arrives, production has moved on
The bottleneck is not compute. It's state.

Business outcomes

What changes with
reproducible environments

For engineering organizations that need repeatable, config-driven data workflows across teams.

Faster environment delivery

Teams get production-like environments without waiting for manual database preparation or DBA approval.

Less operational overhead

Platform and DBA teams stop preparing each environment by hand. Data delivery is defined once in configuration.

Safer data, protected by design

Sensitive data is protected at the configuration level — before it reaches any non-production environment.

Better workflows for developers and agents

Developers and AI agents get reproducible state for debugging, testing and validating changes.

How it works

From production to a reproducible environment in four steps

Run, make safe, capture and branch — the path from a live stack to environments your team can spin up, break and roll back at will.

Step 01

Run your stack

Bring your project up the way you already do. No new infrastructure, no rewrites, no allowlists.

Step 02

Make the data safe

Turn production into anonymized, production-like data — subset to the size the environment needs.

Step 03

Capture the environment

Save data, services and configuration as one consistent snapshot of the whole environment.

Step 04

Branch and roll back

Try migrations, run agents, break things. Every developer, pipeline and agent works on a disposable copy.

Use cases

Real workflows powered by Greenmask products

Developer

Local development

Realistic, safe data to build or debug locally — and when a migration goes wrong, roll the environment back to a saved state.

Try Arcave

CI · AI agents

Pipelines and agent runs

A production-like, disposable environment for every pipeline run and agent attempt — each one starts from a known state.

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Platform engineering

Ephemeral environments

Refresh staging with masked, realistic data and branch it on demand — one environment per feature, PR or experiment.

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FAQ

The Greenmask team builds tools and expertise for reproducible, production-like environments: Greenmask, a test data management and anonymization tool, and Arcave, which makes whole environments savable, branchable and disposable. Alongside the products we provide consulting, training and enterprise support.
Greenmask is a test data management and anonymization tool for databases. It turns production into safe, production-like datasets — masking sensitive values, subsetting to the size you need, generating synthetic data — and delivers them to development, testing and CI.
Arcave manages the lifecycle of ephemeral environments: it captures a running environment — data, services and configuration — as one consistent snapshot, brings any saved state back on demand, and branches independent copies off it for parallel work. It runs on the infrastructure you already have, and is growing toward provisioning and managing environments across providers.
A disposable copy of your stack — services, data and configuration — created for one task: a feature branch, a test run, an agent session. It starts from a known good state, absorbs any damage, and is rolled back or thrown away when the task is done, instead of being maintained by hand.
Greenmask makes the data in an environment safe and realistic; Arcave makes the environment holding that data reproducible. Seed an environment once with safe data, save it, and let every developer, pipeline and agent branch it from there.
Using data that closely resembles production accelerates time to delivery, improves service quality through more accurate testing, and increases developer satisfaction by letting developers work with realistic data and avoid unexpected issues in production.
An agent saves the environment before it acts and rolls back when validation fails, so every attempt starts from a known state — on data that is realistic but safe to expose. That turns agent iteration from a risky loop into a repeatable one.
Greenmask supports PostgreSQL, with MySQL in beta and more engines in development, and works with common storage backends. Arcave works with the stack you already run, whatever services it contains — no new infrastructure required. The full, current support matrix lives in each product’s documentation.
Yes. We offer enterprise support with expert assistance, training for your team, consulting on data workflows and environment strategy, and custom feature development aligned with your needs.
We are evolving Arcave into a platform for provisioning and managing ephemeral environments across infrastructure providers, with Greenmask as its data layer — and deepening the test data management capabilities both products build on.

For engineering teams

Start using Greenmask products today

Pick a product — each installs in minutes, no vendor lock-in.

For organizations

Make stateful environments reproducible at scale

Talk to us about enterprise deployment, consulting and training, and your engineering platform roadmap.

Talk to Sales
Tools and expertise for reproducible, production-like environments.
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