A New Visual Language for the AI Era. Owned by Domain Experts.
For forty years, business logic has lived inside code; a format written for machines, not for the people accountable for the rules. AI didn’t fix that.
It made it urgent. Leapter is building the artifact that finally closes the gap:
visual, literate, deterministic, and generated by AI.
AI changed who can start building software. But...
…it didn’t change the hardest step: confirming that what was built is actually what you intended.
When AI builds a UI, you can see it. When AI builds business logic (pricing, underwriting, eligibility, compliance) the output is code. The people accountable for those rules can’t read it. They judge the result, not the reasoning.
That gap is now the bottleneck for enterprise AI adoption. And under the EU AI Act, it has a deadline.
A new visual language that both AI and Humans can read and verify
In 1984, Donald Knuth proposed literate programming: software written for humans first, computers second. The idea never took hold: until now. The overhead that killed it in the 1980s is exactly what LLMs do well.
Leapter introduces an AI-native visual language for humans and AI, so the rules that run the business are no longer hidden behind code, but written both can read, refine, and trust.
Why an AI-native foundation matters
Legacy decision engines are retrofitting AI onto formats designed before LLMs existed. Leapter started on a clean slate. The Blueprint format was designed from day one to be generated, read, and refined by AI, which is why a domain expert can describe a rule in plain language and get a working implementation in seconds, not weeks.
That’s not a feature. Leapter’s Blueprint is the difference between AI that writes code you can’t verify, and AI that writes logic you can.
This is not a roadmap pitch. The product ships today
- Blueprints generated from natural language, in seconds.
- Specification view with literate chapters and AI-maintained sync.
- Deterministic runtime - same input, same output, every audit.
- Visual diff, versioning, Git-friendly text format.
- Export to JavaScript or Python.
- MCP integration - every Blueprint is a callable tool for any agent stack.
- Design-partner pipeline in insurance, banking, and enterprise operations
Expanding Leapter’s Blueprint
Leapter started with decision logic because that’s where the verification
problem is sharpest. The Blueprint extends naturally to processes, forms,
and full applications; anywhere AI generates logic that someone needs to
own.
The artifact is the moat. The category, AI-native, inspectable
implementations of business logic, is being defined now.
We know what we are doing
Leapter’s founders have been building visual programming languages for
business logic for over twenty years, starting in enterprise banking.
We’ve shipped this category to regulated buyers before. The difference now
is the collaborator: an LLM that can draft the first version, so the human
work shifts from authoring syntax to verifying intent.
Oliver Welte
Robert Werner
Dr. Frank Stummer
Dr. Roman Dudenhausen
Phil Le-Brun
Rick Clark
That shift is the entire opportunity.
For enterprise teams
Book a 30-minute briefing. Bring one real example from your business: a decision, rule set, workflow, calculation, or policy. We’ll show how it becomes visual logic your experts can read, test, and approve.
- Map your real example
- Review and test the visual logic
- Assess design-partner fit
For investors
Request the investor deck and technical brief covering market size, EU AI Act tailwinds, product architecture, and the design-partner path to traction.
- Market and EU AI Act thesis
- Product and technical brief
- Design-partner traction plan
Discover more
Contact Us
We would love to hear from you!
Contact us at any time through info@leapter.com
Collaboration & Investor
We are actively looking for people to shape Leapter’s future, as Design Partners or Investors.