Deterministic decision logic. Written by the people who own the rules.
The AI-native replacement for legacy decision engines. Describe the rule, review the Blueprint, deploy with deterministic execution. The logic that runs in production is the logic the business signed off on.
A new generation of decision logic
Legacy decision engines are retrofitting AI onto formats designed before LLMs existed. Leapter started on a clean slate. Leapter’s Blueprint 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. It’s the difference between AI that writes code you can’t verify, and AI that writes logic you can.
| Classic decision engine | Leapter | |
|---|---|---|
| Designed for | Trained analysts in DMN notation | Domain experts in their own language |
| AI generation | Retrofitted onto pre-AI formats | Native — Blueprints are built for LLMs to generate |
| Time to first working rule | Weeks, often with consultants | Minutes — describe, review, approve |
| Change cycle | Developer queue between rule owner and rule | Rule owner edits and signs off directly |
| Business intent | In a document, drifting from the rule | Lives next to the rule, never out of sync |
| Agent & MCP integration | Absent or just emerging | Every Blueprint is a callable tool |
Create and validate decision logic in only 3 steps
01. Co-author the logic
Describe the rule in plain language, or drop in an existing policy document. Leapter turns your description into a Blueprint. Every condition, every branch, every threshold laid out.
02. Review and refine
See how each decision is made. Change a threshold, reorder a branch, adjust the logic directly. No code to read. No developer queue.
03. Deploy with deterministic execution
The approved Blueprint compiles to a runtime. Same input, same output. No LLM in the decision path.
Use Cases
Insurance underwriting
Underwriters define eligibility, exclusions, and referral triggers in their own language. The Blueprint replaces thousands of lines of legacy DMN with logic an underwriter can read on a single screen and change the morning a guideline changes.
Dynamic pricing
Pricing leads update rate factors and quote rules without a developer ticket. Every quote ties back to the exact Blueprint version that produced it, for the customer, the auditor, and the regulator.
Eligibility & benefits
Policy owners encode regulations into Blueprints they update the day the rule changes. No translation gap between the published policy and the deployed logic.
Credit decisioning
Risk teams maintain traceable decision flows that satisfy model risk management requirements. Every approved or declined decision links to a Blueprint version a named human signed off.
The Leapter difference
Create and edit Blueprints using AI and natural language
Describe a rule in plain language and get a working, executable Blueprint in seconds. Adjust any rule directly where you see it, no separate forms or modes. See your changes live across every connected rule.
Spec View & Decision Trace
Read the project as a structured document with diagrams in context, or zoom into a single rule.
Decision Trace & Step Replay
Every execution produces a complete record of which branches fired. Walk through any execution one step at a time and see exactly which branch fired and why.
Test & Audit
Test decision branches and edge cases, generated automatically. Every live execution is logged with full trace, re-runnable with one click.
Built for the people who own the decisions
Business Technologists & Low-Code Builders
Replace the legacy rules engine you’ve outgrown. Build and change decision logic yourself, in your own language, without a developer ticket for every rate change.
CIOs & Heads of AI
You’re being asked to deploy agents at scale without losing control. Leapter is the deterministic layer between LLM reasoning and consequential execution, so your agents stay fast, auditable, and inside policy.
Heads of Compliance & Risk
Accountable for every automated decision under the EU AI Act. Leapter gives you a visual audit trail your regulators can read, without waiting on engineering to explain what the model did.
Engineering Leaders
Stop writing business logic on behalf of the business. Let domain experts own what they own, and free your team to build the platform around it.
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.