Self Inspection Company Profile

Background

Overview

Self Inspection is a San Diego-based technology company founded in 2021, specializing in AI-powered vehicle inspection solutions. The company offers a computer vision-based guided vehicle inspection process that enables users to complete assessments in minutes using a smartphone. Leveraging artificial intelligence, Self Inspection evaluates vehicle damages and estimates repair costs, streamlining various vehicle inspection processes, including lease-end, trade-in, rental, transportation, and insurance claims. This approach aims to create a frictionless experience while fostering trust and providing deep analytics every time a vehicle changes hands.

Mission and Vision

Self Inspection's mission is to revolutionize the vehicle inspection industry by providing accurate, efficient, and scalable AI-driven solutions. The company's vision is to modernize traditional vehicle inspection methods, reducing time and costs associated with manual inspections, and to set a new standard for quality and reliability in the automotive sector.

Industry Significance

Operating within the automotive technology sector, Self Inspection addresses the longstanding inefficiencies in vehicle assessments. By integrating AI and computer vision, the company enhances the accuracy and speed of inspections, offering a significant advancement over traditional methods that often involve human error and bias. This innovation is particularly impactful in areas such as vehicle leasing, trade-ins, rentals, and insurance claims, where precise and timely assessments are crucial.

Key Strategic Focus

Core Objectives

• Efficiency Enhancement: Accelerate the vehicle inspection process, reducing turnaround times from days or weeks to mere minutes.

• Cost Reduction: Lower operational expenses by minimizing the need for on-site visits and manual assessments.

• Accuracy Improvement: Utilize AI to provide precise damage detection and repair cost estimations, enhancing the reliability of inspection reports.

Areas of Specialization

• AI-Powered Vehicle Inspections: Developing and deploying artificial intelligence algorithms for automated vehicle assessments.

• Computer Vision Applications: Implementing computer vision techniques to analyze vehicle conditions through smartphone cameras.

• Data Analytics: Providing in-depth analytics and reporting to support decision-making in vehicle transactions.

Key Technologies Utilized

• Artificial Intelligence (AI): For damage detection and repair cost estimation.

• Computer Vision: To interpret and analyze images captured via smartphone cameras.

• Machine Learning: To continuously improve the accuracy and efficiency of inspection processes.

Primary Markets Targeted

• Automotive Leasing: Enhancing lease-end vehicle assessments.

• Vehicle Trade-Ins: Streamlining trade-in evaluations.

• Rental Services: Improving rental vehicle inspections.

• Transportation Logistics: Facilitating efficient vehicle assessments in logistics operations.

• Insurance Claims: Accelerating and improving the accuracy of insurance claim evaluations.

Financials and Funding

Funding History

Self Inspection has secured a total of $5.8 million in funding over two rounds:

• Seed Round (February 2025): Raised $3 million, co-led by Costanoa Ventures and DVx Ventures, with participation from Westlake Financial.

• Seed Round II (August 2025): Raised an additional $2.8 million, with investors including DVx Ventures and Sandberg Bernthal Venture Partners.

Utilization of Capital

The funds are intended to:

• Product Development: Enhance AI algorithms and computer vision capabilities.

• Market Expansion: Broaden the company's reach within the automotive industry.

• Operational Scaling: Support the scaling of operations to meet increasing demand.

Pipeline Development

Key Pipeline Candidates

Self Inspection's primary focus is on the continuous development and refinement of its AI-powered vehicle inspection platform. The company is working on:

• Enhanced Damage Detection Models: Improving the accuracy of identifying and assessing vehicle damages.

• Cost Estimation Algorithms: Refining algorithms to provide more precise repair cost estimates.

• Integration Capabilities: Developing seamless integration with various automotive industry platforms and services.

Anticipated Milestones

• Product Enhancements: Ongoing updates to AI models and user interfaces.

• Partnerships: Establishing collaborations with automotive companies and service providers.

• Market Penetration: Expanding the user base across different sectors within the automotive industry.

Technological Platform and Innovation

Proprietary Technologies

• AI-Driven Inspection Algorithms: Custom-developed algorithms for vehicle damage detection and repair cost estimation.

• Computer Vision Systems: Tailored systems for analyzing vehicle images captured via smartphones.

Significant Scientific Methods

• Deep Learning: Utilized for training models to recognize and assess vehicle damages.

• Image Processing Techniques: Employed to interpret and analyze visual data from vehicle inspections.

Leadership Team

Key Executives

• Constantine Yaremtso: CEO & Founder. With a background in technology and entrepreneurship, Constantine leads the strategic direction and growth of Self Inspection.

• Eugene Shevelev: Head of Product & Co-Founder. Eugene oversees product development, focusing on enhancing the platform's capabilities and user experience.

• Daniel Wright: Head of Sales. Daniel is responsible for driving sales strategies and expanding the company's market presence.