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Our AI

We Train Our Own Models

Purpose-built neural networks that understand how applications work. Not wrappers around someone else's intelligence.

Six Specialized Models

Each model does one thing well. Together, they generate verified applications from descriptions.

Neural pipeline

Generation

Creates candidate application designs from your description. Produces multiple structurally valid starting points.

Quality Scoring

Evaluates each candidate on correctness, completeness, and user experience quality. Filters out anything that would not pass verification.

Structure Analysis

Understands the application logic as a graph. Detects dead ends, missing workflows, and broken interaction paths.

Error Repair

When something is wrong, predicts the smallest fix that resolves it. Like autocomplete, but for application logic.

Diverse Solutions

Builds applications step by step, exploring multiple approaches. Produces diverse solutions instead of collapsing to one output.

Verification

Combines neural predictions with compiler verification to guarantee correctness. Every generated application passes formal checks.

10x Cheaper Than LLMs

Cost comparison

General-purpose LLMs cost $0.50 to $5.00 per complex generation. Our specialized models cost $0.05 to $0.35 for the same task. That is a 10x to 15x reduction.

The savings come from focus. An LLM has to know everything about everything. Our models only need to understand application structure, a much smaller problem. Smaller models, faster inference, lower cost.

We Own Our Intelligence

We use LLMs for understanding what you say. But the intelligence that designs, verifies, and fixes applications is ours. Trained on our data, optimized for our domain.

That means we control our costs, our quality, and our roadmap. We do not depend on another company's pricing or model updates.

See the Platform