Innovation & AI: Real-Time Asset Intelligence with Eliron Ekstein

9 snips

Jan 7, 2026

Eliron Ekstein, Co-founder and CEO of Raven.AI, shares his journey from a Shell energy lab to revolutionizing vehicle inspections with computer vision. He discusses how their innovative 360-degree scans enhance damage detection and cut claim processing times in half. Eliron highlights a significant paradigm shift towards an 80/20 automation model in claims and why real-world data is crucial for AI advancements. He also emphasizes the importance of transparency and building trust through solid evidence, reshaping the industry's approach to asset management.

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ANECDOTE

Humble Origin Led By Rental Fleets

Raven.AI began inside a Shell energy lab scanning cars for minor issues before pivoting to rental fleets.
Avis and Hertz discovered the tech and led Raven to spin out and focus on fleet damage tracking.

INSIGHT

360° Scans Create Repeatable Evidence

A browser-based 360° vehicle scan lets any phone capture structured, repeatable evidence for claims.
That holistic scan produces high-fidelity data both AI and human adjusters can rely on.

INSIGHT

Longitudinal Fleet Data Solves Bad-Data Problem

Successful AI in claims required correct, longitudinal datasets showing assets degrading over time.
Raven's fleet data captured cars in mint condition and later with damage, enabling reliable model training.

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In this episode of Risk Management: Brick by Brick, host Jason Reichl sits down with Eliron Ekstein, co-founder and CEO of Raven.AI, to discuss the transformation of vehicle inspections through advanced computer vision.

From a "lucky coincidence" in a Shell energy lab to becoming a critical partner for the world’s largest rental car fleets like Avis and Hertz, Eliron shares how

Raven.AI built a redundant, data-rich system that outperforms traditional human assessments. Discover why the industry is shifting toward an 80/20 automation model, how 360-degree documentation solves the "trust gap" in AI, and why real-world experience is the ultimate prerequisite for solving the industry's most expensive problems.

Whether you are navigating rising claim costs or looking to implement self-service claims, this conversation reveals how transparency and high-fidelity data are reshaping the physical world.

To find out how TrustLayer manages risk so that people can build the physical world around us, head to TrustLayer.io.

Podcast Host: Jason Reichl

Executive Producer: Don Halliwell

Episode Highlights:

00:29 – The Shell Energy Lab: The Unlikely Origin of Raven.AI
01:38 – Leveraging Fleet Data: The Avis and Hertz Coincidence
02:27 – Shrinking Cycle Times: Self-Service Scans for Policyholders
03:26 – Why AI Failed in the Past: The Problem with Bad Data
04:27 – The 360-Degree Advantage: Why Humans Miss Damage AI Catches
05:33 – The 80/20 Rule: Predicting the Future of Claims Automation
06:31 – Rising Severity: Why Claim Costs are Through the Roof
07:46 – Solving the Trust Gap: The Role of Transparency in AI
10:20 – Immediate ROI: Reducing Cycle Times by 50%
11:37 – Beyond Cars: Expanding to Commercial Trucks and Forklifts
14:00 – Career Advice: Why You Must Understand the Problem to Fix It

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Previous guests include: Seth Hausman of Kraus-Anderson Insurance, Matthew Meyer of The Horton Group, Diana Rich of Foundation Building Materials, Christy McHenry of Suffolk Construction, Mark Rieder of NFP, and Cory Mangum of Primoris Services Corporation.

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