Captur

Captur is a quality control automation platform that utilizes visual AI to verify operational compliance in real-time, helping supply chains reduce risks as they expand. Founded in London in 2020 by Charlotte Bax, the company provides a smart camera solution that can be embedded into client mobile applications. This technology performs on-device AI computation, allowing for immediate feedback and issue detection without cloud-related lag.

Charlotte Bax, who participated in the Google for Startups Female Founder program, founded Captur after experiencing firsthand the difficulties companies faced in adopting image-based AI. Her background includes founding the Deep Learning Computer Vision meetup in London and working at an enterprise AI startup, which provided her with insights into the extensive manual work required for AI model implementation. This experience drove the development of Captur’s solution, which is designed for easy implementation by product teams with minimal developer involvement.

The company's business model is subscription-based, offering tiered plans (Pro, Team, Scale-Up, and Enterprise) that provide a certain number of "verified captures" per month. The platform's core product is its API and SDKs that enable a smart camera within a company's mobile app. This tool uses edge AI to analyze images locally on a smartphone, providing real-time verification against a company's specific business logic. Key features include image quality checks, object detection, and text recognition. Captur serves clients in the micromobility, delivery, logistics, transportation, and automotive sectors across the US, European, and APAC markets. Notable customers include Dott, HumanForest, and Moove. For instance, in the delivery sector, the technology is used to verify that a package is at the correct address, which can reduce fraud and customer support costs.

Captur secured £2.2 million in a Seed funding round in October 2023, led by Sure Valley Ventures with participation from MMC Ventures, Ascension Ventures, and others, bringing its total funds raised to £3.5 million. This investment is intended to scale the company's technology offerings and support its expansion into the US market.

Keywords: quality control automation, visual AI, compliance verification, supply chain technology, edge AI, image recognition, last-mile delivery, micromobility solutions, vehicle inspection, operational efficiency, fraud reduction, asset tracking, mobile data capture, computer vision, logistics technology, real-time data, SDK, API, fleet management, smart camera