Available courses

Hybrid & EV Repair: Structural Bonding and High-Voltage Safety

Designed for the modern structural technician, this course bridges the gap between traditional metalwork and high-voltage vehicle architecture. Learners will master safe de-energizing protocols for 2026-standard battery systems and explore advanced joining techniques for lightweight materials, including Ultra-High-Strength Steel (UHSS) and aluminum bonding. The curriculum emphasizes the "safety first" mindset necessary for repairing the structural integrity of vehicles with integrated battery trays, ensuring both the technician’s safety and the vehicle’s post-crash performance.

Advanced ADAS Calibration & Safety System Diagnostics

As of 2026, Advanced Driver Assistance Systems (ADAS) are no longer "optional" considerations in collision repair; they are central to vehicle safety. This course provides technicians with the protocols for pre- and post-repair scanning, static vs. dynamic calibration workflows, and the documentation required to mitigate liability. Students will learn to identify 2027-model-year sensor placements and master the use of diagnostic tools to ensure every safety-critical system—from Lane Keep Assist (LKA) to Pedestrian Automatic Emergency Braking (PAEB)—is returned to OEM specifications.

Data Security & Compliance (SOC2/CCPA) in InsurTech

A technical course for the dev team on maintaining US data standards. Covers handling PII (Personally Identifiable Information), SOC2 compliance, and state-specific regulations like CCPA when processing estimate data.

Total Loss Analysis & AI Valuation

Understanding the "Total Loss" threshold (75-80% of ACV in most states). Learn how Katalyst's AI helps shops determine early in the process if a vehicle is repairable or a total loss to save time and resources.

Mastering Supplement Management & Negotiations

Supplements are where most revenue is lost. This course teaches how to use AI-generated audit reports to justify supplemental repairs and labor hours to insurance adjusters effectively.

Direct Repair Programs (DRP) vs. Independent Shops

Analyzing how Katalyst serves different shop models. This course explores the contractual obligations of DRP shops and how independent shops use AI to defend their labor rates against carrier pushback.

US Auto Insurance Ecosystem & Claims Workflow

An overview of the US insurance market, focusing on First Notice of Loss (FNOL), liability types (comprehensive vs. collision), and the lifecycle of a claim from estimate to payment.

Pattern Mining: Identifying Missed Revenue

Using AI to compare current estimates against historical "perfect" estimates to automatically suggest missing line items that shops often overlook.

Designing a Rules Engine for Estimate Audits

How to build and maintain the logic that flags inconsistencies, missing operations, and undervalued labor rates in real-time audits.

Introduction to Katalyst: Revenue Optimization Engine

A foundational course explaining how Katalyst identifies missed line items and labor rate gaps in collision repair estimates to maximize shop revenue.

Industry Standards: CCC, Mitchell, and Audatex

Understanding the three major estimating platforms. This course covers the proprietary data structures and terminology used by insurance carriers and repair shops.

Automated PDF Parsing for Collision Estimates

Technical deep-dive into the PDF parsing pipeline for CCC, Mitchell, and Audatex files. Learn how the system extracts raw data into structured formats.