viso.ai has raised $10.0M in total across 1 funding round.
viso.ai's investors include Accel, Ameet Patel, Cristóbal Conde, Nicolas Julia.
Viso.ai is a Swiss technology company that builds Viso Suite, a no-code, end-to-end computer vision platform for developing, deploying, and operating large-scale AI vision applications.[1][2][4] It serves enterprises like Fortune 100 and Global 2000 companies, governments, and industries including manufacturing, construction, logistics, healthcare, and energy, solving the complexity of implementing computer vision by enabling non-experts to turn camera feeds into actionable insights for real-time monitoring, automation, and efficiency gains.[1][2][4] Key applications include object detection, quality inspection, PPE compliance, hazard detection, predictive maintenance, and worker safety, with strong growth momentum evidenced by 10x faster deployment for customers and investments from firms like Accel, riding enterprise AI adoption trends.[1][6]
Founded in 2018 by Swiss entrepreneurs Gaudenz Boesch and Nico Klingler, viso.ai emerged from their deep expertise in computer vision challenges, aiming to make AI vision accessible and scalable for businesses without requiring specialized teams.[2][6] The idea crystallized around filling a market gap for a truly end-to-end, no-code platform amid rising enterprise demand for ROI-driven AI and scarce talent, leading to Viso Suite's development as a horizontal solution covering data collection, annotation, model training, app building, and monitoring.[6] Early traction came from addressing deployment hurdles in industries like manufacturing and construction, with pivotal validation through customer wins at firms like PwC and investor backing from Accel, which highlighted the founders' understanding of enterprise-scale complexities.[1][6]
Viso.ai rides the visual AI and edge computing wave, transforming standard cameras into intelligent data sources amid surging enterprise demand for real-time insights from video feeds, fueled by affordable AI hardware, open model hubs like Hugging Face, and talent shortages.[2][4][6] Timing is ideal as industries digitize physical operations—manufacturing for defect detection and predictive maintenance, construction for safety, logistics for object counting—driving operational efficiency, risk reduction, and ROI in a market shifting from lab experiments to production-scale deployments.[2][4][6] It influences the ecosystem by democratizing computer vision, lowering barriers for non-experts, enabling agile, data-driven decisions, and bridging AI models to business outcomes, thus accelerating broader AI adoption beyond siloed solutions.[3][6]
Viso.ai is poised to expand its platform with more industry-specific suites (e.g., manufacturing, logistics) and deeper integrations for emerging AIoT trends, capitalizing on self-learning models and multimodal AI to handle complex, real-world visual data at scale.[4][5] Trends like powerful edge hardware, generative AI for vision, and regulatory pushes for safety/automation will propel growth, potentially evolving viso.ai into a dominant visual intelligence infrastructure provider, further solidifying its role in making no-code computer vision the standard for enterprise digitization.[1][6] This positions it to deliver even faster ROI, turning operational visibility into sustained competitive edges for global businesses.
viso.ai has raised $10.0M across 1 funding round. Most recently, it raised $10.0M Seed in October 2023.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Oct 1, 2023 | $10.0M Seed | Accel, Ameet Patel, Cristóbal Conde, Nicolas Julia |
