Your CI is the bottleneck.
We fix it.

Coverage-based test selection + intelligent parallelisation. 80–95% CI duration reduction. No guessing, no heuristics — we analyse your actual test coverage.

before dagz
$ pytest tests/ --workers=4
after dagz
$ dagz run pytest --workers=4
18:32
before dagz
1:44
after dagz

"We cut CI from 22 minutes to 90 seconds. The team stopped context-switching between reviews and just... shipped."

— Engineering Lead, Series B fintech (name withheld)

How it works

01

Analyse

We instrument your test suite to map coverage: which lines of code each test actually exercises.

02

Select

On each commit, we diff the changeset and select only tests that cover the changed lines. Deterministic. No ML, no guessing.

03

Parallelise

We replan test distribution to saturate your runners. 2× faster than OSS solutions on equivalent hardware.

Works alongside your existing CI. Self-hosted runners required.

80–95%

Reduction in CI duration. Across real Python codebases. Measured, not modelled.

That's the difference between a 20-minute feedback loop and a 90-second one. At scale, it's the difference between shipping and waiting.

Why not just use [alternative]?

Honest comparison. Engineers will find out anyway.

Build caching
Turborepo / Nx
Faster runners
Blacksmith / Depot
dagz
Skips unchanged tests ✗ task-level only
Coverage-based precision
Parallelisation Partial
Language support JS/TS only Language-agnostic Python (JS/TS roadmap)

Python-only today. JS/TS support is in development.

Pricing

Simple. No tiers. No usage caps.

$50 / developer / month
  • Coverage-based test selection
  • Intelligent test parallelisation
  • CI observability dashboard
  • Slack + webhook alerts
  • Dedicated onboarding (POV support)

Volume pricing for larger teams. Talk to us →

Get started

POV takes 20 minutes to set up. Works on your existing runners.

$ pip install dagz && dagz init

Book a demo

We'll walk through your CI setup and show you exact numbers for your codebase.