What is Leapter

Agentic when you build. Deterministic when it runs. AI builds software fast — but the business logic disappears into code that only developers can read. Leapter makes that logic visible and changeable. You describe the rules your software needs in plain language. Leapter’s AI turns them into executable diagrams — called Blueprints — that your team can inspect, test, refine, and approve before they ever run in production. At runtime, those Blueprints execute deterministically: there is no language model in the live decision path, so the same inputs always produce the same outputs.

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The problem with probabilistic logic

When multi-step business logic is executed by a probabilistic model, even a small per-step error rate — drift across steps — quickly compounds into an unacceptable failure rate. When the outcome truly matters — billing, compliance, risk, pricing — “close enough” is not acceptable. This is an architectural problem, not a prompting problem: you are relying on a probabilistic tool to do a deterministic job. It forces teams to babysit AI automations with human review, which prevents them from safely scaling into production.

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What Leapter gives you

Leapter reverses the control. Instead of asking an agent to invent the logic each time, you define it once as a visual, executable Blueprint — and it runs the same way every time.

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Who it’s for

• Heads of Compliance & Risk — auditable, deterministic decisions you can defend.
• Domain experts — own and approve the rules in plain language, without code.
• CIOs & Heads of AI — put agentic automation into production safely.
• Engineering leaders — stop hand-coding and babysitting brittle business logic.

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