Our Story

We built this for ourselves first

The Origin

After 10 months of developing the discipline and practicing Agentic Engineering in production, we learned a painful truth: incomplete specs lead to chaos. We watched AI generate thousands of lines of code that looked perfect but failed catastrophically in production. The pattern was always the same - missing edge cases, undefined behaviors, ambiguous requirements.

We tried everything. Better prompts. More context. Different AI models. Nothing worked consistently. Then we realized: the problem wasn't the AI. It was the gaps in our specifications. Experienced engineers fill the gaps with experience. AI does not have that experience and fills gaps with semi-random hallucinations based on probability from training data.

So we built semantic gap detection to save our own sanity. It worked so well that other teams started asking for it. Now we're scaling it for every AI-first company.

The Problem We're Solving

90%
of organizations use AI
30%
actually trust it
11%
increase in instability from AI in software development
$2.41T
annual US cost of poor software quality
46%
of code is AI-generated

Our Solution

Semantic Ontology Analysis

Not keywords. Not templates. We analyze the actual meaning and relationships in your specifications to find gaps that humans and AI miss.

Core Classes + Detection Rules

Our proprietary semantic engine maps specifications to fundamental software concepts, identifying missing behaviors, undefined states, and ambiguous requirements.

90% Gap Detection Precision

We catch the gaps that matter - the ones that turn into production bugs, security vulnerabilities, and compliance violations.

47% → 94% Spec Completeness

Average improvement in specification completeness after using GapTrap. That's the difference between shipping bugs and shipping features.

Validation Results

10-Month Alpha with AI-First Startups
10
AI-first startup projects
500+
hours saved
$90K+
prevented costs
0
rework due to incomplete specs
"Every gap we found would have become a production issue."
— Alpha Program Participant

Our Mission

Make AI-built software production-ready. Free engineers to architect and orchestrate instead of debugging. AI-first development is the future, but it requires a robust validation layer to earn production trust.

GapTrap is at the frontier of that layer. We catch the gaps before AI fills them with hallucinations. We turn incomplete ideas into complete specifications. We make it safe to ship AI-generated code.

Ready to Stop Shipping Guesswork?

Join the teams that are building confidently with AI.

Meet the Team