Faktorial

Faktorial is Asynkron's autonomous engineering delivery product for teams that manage work in GitHub. It operates the delivery loop inside a repository: investigate an issue, build the change, prove it with tests and CI, prepare the pull request, and capture lessons for the next run.
Product links
- Official site: faktorial.ai
- Contact: Run a pilot or email info@asynkron.se
What Faktorial provides
- GitHub-native delivery flow. Issues, comments, pull requests, branches, and workflow results remain the source of truth while Faktorial coordinates the work around them.
- Controlled autonomy. Teams choose labels, branch targets, quality gates, approval points, and whether the system should stop at a review-ready PR or continue further under configured rules.
- Traceable stages. Work moves through investigation, build, verification, deploy, and learning stages so every job has explicit boundaries and evidence.
- Learning loop. CI friction, repeated retries, and useful decisions become agent rules, ADRs, or follow-up tasks instead of disappearing after a merge.
Current status
Faktorial is presented publicly as a pilot or managed-service offering. The public site describes both a team-operated mode and a Faktorial Managed mode where Asynkron operates the delivery loop with senior engineering supervision.
No public source repository is linked from this documentation page.