EyePop.ai

Who Is Behind the Company

EyePop.ai was founded in 2023 by three San Diego-based entrepreneurs, including GoFundMe co-founder Andy Ballester, who serves as Chief Product Officer, and CEO Brad Chisum, who previously founded a company acquired by Google [Pulse 2.0, 2024].

Inside the Company

EyePop.ai is a San Diego-based startup building a self-service platform that allows non-specialist teams to create and deploy custom computer vision models. The company's proposition centers on making sophisticated vision AI accessible to smaller businesses and startups, enabling them to detect, measure, and count objects in images and video for operational analytics [PR Newswire, April 2024]. The company operates a SaaS business model, targeting startups and SMBs that lack in-house ML departments. The company has raised a total of $2.85 million in seed funding, a round led by Innosphere Fund that closed in February 2025 [eyepop.ai blog, March 2025].

Recent external validation includes a live demonstration of its Video Intelligence Agent in collaboration with Qualcomm Technologies at the Snapdragon Summit in 2025 [eyepop.ai blog]. In 2026, the company's platform won the Judges' Choice Award at the ISC West security industry tradeshow in the Video Analytics category [Security Industry Association, 2026].

Data Accuracy: GREEN -- Founding details confirmed by company press release and Crunchbase; funding round and award details corroborated by multiple independent sources.

Under the Hood

The platform is a self-service training environment for custom computer vision models, designed to be operated without specialized machine learning expertise [PR Newswire, April 2024]. Users can upload their own images or video, label objects, and train a model to detect, measure, or count specific items, a process the company claims can be completed in under an hour [PR Newswire, April 2024]. The resulting models are deployed via API or SDK [eyepop.ai/faq, 2026]. In addition to custom training, the service offers a library of pre-built, curated models for common tasks like detecting people, text, or devices [PR Newswire, April 2024].

Data Accuracy: GREEN -- Core product claims are confirmed by company press releases and third-party implementation reports.

Market Research

The market for computer vision software is expanding beyond large tech companies, creating demand for tools that allow smaller organizations to build and deploy their own models. Industry analysts at Grand View Research estimated the global computer vision market size at $15.4 billion in 2023, with a compound annual growth rate (CAGR) of 19.6% projected through 2030 [Grand View Research, 2024].

Metric	Value
Global Computer Vision Market 2023	15.4 $B
Projected CAGR 2024-2030	19.6 %

Data Accuracy: YELLOW -- Market size and growth figures are from a single third-party report; the applicability to the self-service niche is an analyst inference.

Competition and Substitutes

EyePop.ai enters a competitive field of tools aiming to simplify the development and deployment of computer vision models. EyePop.ai's wedge is its positioning targeting the underserved segment of startups and SMBs that lack ML talent but need proprietary vision capabilities quickly.

Data Accuracy: YELLOW -- Differentiation claims are from the company's own press release.

Opportunity

The opportunity for EyePop.ai is to become the default low-code platform for custom computer vision, capturing a significant share of the burgeoning demand from SMBs and startups. The company’s core wedge, enabling non-ML teams to train and deploy proprietary models in under an hour, directly addresses a critical talent and cost bottleneck [PR Newswire, April 2024].

Data Accuracy: YELLOW -- The core product claims and award win are well-cited. Growth scenarios are extrapolated from stated target markets and early partnerships.