Why I Built SwiftRun
Not from theory. But because I watched teams waste weeks stitching together AI tools that break the moment you need them to actually run.
AI Automation That Works in Demos. Breaks in Production.
Every team I worked with had the same story: they built an AI workflow in a no-code tool or a Jupyter notebook. It worked beautifully in the demo. Then they tried to run it for real customers, and everything fell apart.
No error handling. No monitoring. No way to know if a pipeline silently failed at 3 AM. No multi-tenant isolation when you need to run it for different clients.
The gap between "it works on my laptop" and "it runs reliably in production" was enormous. And nothing on the market bridged it.
Tools Exist. But None I Would Trust with Real Workloads.
I evaluated everything. Zapier, Make, n8n, LangChain scripts, custom agent frameworks. Each solved one piece but created three new problems.
What I couldn't find anywhere: a platform where you define agents with real LLM prompts, chain them into pipelines with proper stage management, connect 1,000+ tools via MCP, and then actually monitor every single run in production.
So I built it.
Not a Toy. Not a Framework. A Production Platform.
SwiftRun lets you build AI agent pipelines that actually work in production. Define agents, chain them into multi-stage pipelines, connect any tool through MCP connectors, and monitor every run with full observability.
Built-in multi-tenant isolation, approval workflows, secrets management, and guardrails. Not bolted on as an afterthought -- designed in from day one.
If a pipeline fails, you know why. If an agent produces unexpected output, you can trace every step. Control stays with you.
Georg Singer
Founder, SwiftRun
Based in Vienna, I've spent over 15 years at the intersection of technology and business processes -- including a role as Head of Edge at Atos, continued education at Harvard Business School, and a Global Mobile Award at Mobile World Congress.
SwiftRun was born from a simple observation: teams everywhere are building AI workflows that work in demos but break in production. That gap shouldn't exist.
Free AI Tools
We also build free tools to help teams get more out of their marketing data. Try our free Google Ads Analyzer to audit your ad account in minutes, or explore all our free AI tools.
See SwiftRun in Action
No commitment. No credit card required.