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Based in London, Captur provides an enterprise artificial intelligence platform that utilizes smartphone cameras for real-time image recognition and automated workflow validation. The software allows businesses to train custom models via a drag-and-drop interface, enabling local analysis for tasks such as verifying package deliveries and assessing vehicle conditions. Operating with a workforce of 21 to 50 employees, the company serves approximately 40,000 users across the logistics, transportation, and retail sectors. This technology replaces manual compliance processes and has demonstrated the ability to reduce operational fraud by up to 40 percent. Captur has raised £3.5 million in total venture capital funding from investors including Sure Valley Ventures and MMC Ventures, while securing enterprise contracts with customers such as Zapp, Dott, and Moove. The company was founded in 2020 by chief executive officer Charlotte Bax.
Captur has raised $9.0M across 2 funding rounds.
Captur has raised $9.0M in total across 2 funding rounds.
Captur is a technology company specializing in AI-driven quality control automation for real-world operations, particularly in supply chains and fleet management. It provides a visual AI platform that verifies compliance in real-time through a policy-aware photo capture layer, helping businesses reduce operational risks and churn as they scale. Captur serves industries such as micro-mobility, delivery, and vehicle inspection across the US, Europe, and APAC markets, enabling clients to maintain high standards and operational efficiency through automated visual verification[1][2][6].
Founded in 2021 by Charlotte Bax, Captur emerged from the need to bring AI-powered automation to complex operational workflows, especially in logistics and fleet operations. Early traction includes rapid deployment of its SDK, which demonstrated significant reductions in claims and operational errors within weeks. The company’s AI and machine learning capabilities have been pivotal in transforming logistics processes, optimizing routes, and improving delivery accuracy in real time, showcasing its potential to scale across various sectors[1][6].
Captur rides the growing trend of applying AI and computer vision to automate and optimize operational workflows in logistics and fleet management. The timing is critical as industries face increasing pressure to scale efficiently while maintaining compliance and reducing costs. Market forces such as the rise of micro-mobility, e-commerce delivery demands, and the need for real-time operational visibility favor Captur’s solutions. By enabling automated, real-time quality control, Captur influences the broader ecosystem by setting new standards for operational reliability and AI adoption in traditionally manual processes[1][2][6].
Looking ahead, Captur is positioned to expand its AI-driven platform into new verticals and geographies, leveraging its early success and scalable technology. Trends such as increased automation in supply chains, demand for sustainability through reduced waste and errors, and the integration of AI in operational decision-making will shape its growth. Captur’s influence is likely to evolve from a niche quality control tool to a critical infrastructure component for smart, AI-enabled logistics and fleet operations worldwide[1][2][6].
Captur has raised $9.0M in total across 2 funding rounds.
Captur's investors include Ben Fried, Sure Valley Ventures, Act Venture Capital.
Captur has raised $9.0M across 2 funding rounds. Most recently, it raised $6.0M Seed in March 2026.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Mar 10, 2026 | $6M Seed | BEN Fried | Sure Valley Ventures | Announced |
| Oct 1, 2023 | $3M Seed | — | ACT Venture Capital, Sure Valley Ventures | Announced |
