Open-source platform for designing, deploying, and monitoring AI agents and workflows.
Product memo
SaaS teams building AI features use Draft'n Run to design, deploy, and monitor AI agents and workflows. Its visual, no-code builder and open-source foundation provide a clear wedge against proprietary AI integration tools. This approach offers full transparency, control, and zero vendor lock-in, shortening development while ensuring data sovereignty for users.
For who
SaaS teams building AI features
Solves what
Designing, deploying, and monitoring AI agents and workflows
- Visual workflow builder
- Real-time testing & observability
- Open-source platform
In their own words
The complete platform for designing, deploying, and monitoring AI agents & workflows
We help small product teams move fast with AI: build, test, deploy, version, run QA tests and monitor workflows with full observability, compliance, and budget control.
The back-office behind AI features in SaaS software
Commercial cues
Model
free only
Free tier
Yes
Trial
Available
Pricing Strategy
Draft'n Run offers a free tier, with Enterprise handled through custom pricing.
- • A free tier with daily credit limits encourages initial adoption.
- • Custom enterprise options address specific needs and on-premise deployments.
- • Visible limits define plan boundaries.
Operator context
Operating setup
Founded
Oct 2025
HQ
France
Platform
Web app
Audience
Developers
Social footprint
Tech stack
Market demand
Draft'n Run keyword demand
5 keywords
Market demand is Starter-tier market intelligence.
Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Vc Growth
- Effort
- Small Team
About Draft'n Run Expand
Draft'n Run provides an open-source platform for SaaS teams to build and manage AI features. It offers a visual workflow builder and no-code AI agent design, allowing developers to deploy and monitor AI agents without extensive AI engineering.
This helps teams maintain control over their AI infrastructure, avoiding vendor lock-in often associated with proprietary products. The platform's real-time testing and complete observability features support continuous improvement, making it a practical option for those integrating AI into their products.