A New Visual Language for Business Logic
For forty years, business logic has lived inside code, a format written for machines, not for the people accountable for the rules. AI did not fix that. It made it urgent.
Leapter is building the visual language that finally closes the gap: visual, literate, deterministic, and generated by AI.
We have shipped this category before
Leapter was founded by Oliver Welte and Robert Werner, who bring decades of experience with visual business rules and regulated decisioning, starting in enterprise banking. Leapter is built by a team that has shipped this category to regulated buyers before, visual logic that domain experts could read and regulated institutions could run.
What is different now is the collaborator. An LLM can draft the first version, so the human work shifts from authoring syntax to verifying intent. That shift is the entire opportunity.
AI changed who can build software. It did not change who can verify it.
When AI builds a user interface, you can see the result. When AI builds business logic, pricing, underwriting, eligibility, compliance, the output is code. The people accountable for those rules cannot read it. They judge the outcome, not the reasoning. That gap is now the bottleneck for enterprise AI adoption.
A language both humans and AI can read
In 1984, Donald Knuth proposed literate programming: software written for humans first, computers second. The idea never took hold, the overhead that killed it in the 1980s is exactly what LLMs do well.
Leapter turns that idea into a working product. Describe a rule in plain language, and AI drafts it as a Blueprint, the business logic itself, made visual and executable. The Blueprint format was designed from day one to be generated, read, and refined by AI, not retrofitted onto formats that predate LLMs. The rules that run the business are no longer hidden behind code, but written in a form both can read, refine, and trust.
Three forces converge on the same gap
AI writes the implementation
More business logic is drafted by machines every quarter. The people who own that logic need a way to read, test, and change what was generated, without becoming programmers.
Agents need governed decisions
Agent stacks are reaching into consequential decisions: lending, claims, eligibility. An agent can gather context, but the decision itself has to be deterministic, approved, and traceable.
Regulators scrutinize automated decisions
Automated decisions face growing scrutiny, and in the EU that scrutiny comes with statutory deadlines. Organizations need evidence: which logic ran, which version was approved, and why a case came out the way it did.
Agentic when you build. Deterministic when it runs.
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 time.
- Visual diff, versioning, and a Git-friendly text format.
- Export to JavaScript or Python.
- MCP (the agent integration standard) and a REST API, every Blueprint is a callable tool for any agent stack or application.
- Design-partner pipeline in insurance, banking, and enterprise operations.
Where the Blueprint goes next
Leapter started with decision logic because that is 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 Blueprint is the durable advantage. The category, AI-native, inspectable implementations of business logic, is being defined now.
The team
Oliver Welte
Robert Werner
Dr. Frank Stummer
Dr. Roman Dudenhausen
Phil Le-Brun
Rick Clark
For enterprise teams
Book a 30-minute briefing. Bring one 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
- Go-to-market and design-partner pipeline
Discover more
Contact Us
Start the right conversation
Contact us at any time through info@leapter.com
Design partners & investors
We work with a small number of design partners and are selectively expanding our investor circle.