Platform demonstrates sub-second estimate generation and ADAS detection in early deployments
LOS ANGELES, CA – August 2025 — CrashCodex, a collision repair intelligence platform, has quietly emerged from development after extensive testing in select repair facilities. The company has built what appears to be the industry's first AI-native estimating infrastructure, capable of generating professional-grade estimates and supplement justifications in under a second.
Unlike traditional estimating systems that primarily function as databases, Crash Codex was designed to reason through damage scenarios, identify missing procedures, and produce insurer-compliant outputs without manual intervention.
"We spent two years solving the fundamental reasoning problem in collision estimating. The result is infrastructure that thinks like an experienced estimator but operates at machine speed."
The platform's development required unprecedented access to actual collision repair data — a significant challenge in an industry where information is closely guarded by established players. Crash Codex navigated complex relationships with data gatekeepers to compile comprehensive datasets of real repair procedures, labor operations, parts pricing, and insurer decision patterns.
This ground-up approach using authentic industry data, rather than synthetic or theoretical models, enables the platform to understand the nuanced reality of collision repair operations and the intricate relationships between shops, insurers, and regulatory requirements.
In limited deployments across select collision centers, the platform has demonstrated:
The platform processes damage assessments through advanced AI models trained on real-world repair procedures, OEM guidelines, and insurer requirements.
Crash Codex positions itself as foundational infrastructure rather than a consumer application. The company has developed API-ready architecture designed for integration with existing collision repair ecosystems, including shop management platforms and insurer workflows.
Early testing suggests the platform could address persistent industry challenges around supplement cycle times, missed calibrations, and estimate consistency across different operators and facilities.
The company is currently in discussions with industry stakeholders regarding broader deployment strategies and potential partnerships. Crash Codex has not yet announced general availability or formal funding rounds.
Crash Codex develops AI-powered infrastructure for collision repair operations, focusing on estimate generation, procedural compliance, and industry workflow optimization. The platform combines retrieval-augmented generation with collision-specific intelligence to automate complex estimating decisions.
For strategic inquiries: sudo@hxcode.xyz