Ardas and EyePop.ai Announce Strategic Partnership
Key insights
- Strategic synergy for real-world CV products: The partnership combines EyePop.ai’s no-code computer vision platform with Ardas’ engineering and scalable deployment expertise to help teams go beyond prototypes into production-ready AI vision systems.
- Faster integration with existing systems: By integrating custom vision models into scalable cloud applications, companies reduce time from model training to operational use.
- Broad industry applicability: The collaboration targets industries such as logistics, sports, retail, medtech, and industrial automation — areas where visual intelligence drives measurable operational outcomes.
- Engineering excellence meets accessibility: Vision models are only valuable if they are embedded into robust software workflows — this partnership bridges that gap.
19.05.2025
Los Angeles, CA – Ardas, an AI-first service provider helping startups accelerate growth with product-market fit, announced a strategic partnership with EyePop.ai, an emerging leader in AI-powered computer vision platforms.
Together, the companies will empower scaling startups and enterprises to build, integrate, and deploy custom vision-based products faster, smarter, and more reliably.
This partnership marks a significant step forward in bridging advanced vision models with production-ready software systems. EyePop.ai’s intuitive, no-code platform allows teams to build and train AI-powered vision models with minimal overhead.
Combined with Ardas’ 20+ years of engineering excellence and product delivery experience, customers get more than just intelligent models; they get real, working solutions.
We’re excited to partner with EyePop.ai to close the gap between powerful AI models and real-world product development,” said Andrew Ryzhokhin, CEO of Ardas.
This collaboration allows us to move from vision to value quickly by combining backend muscle with front-end intelligence.
The partnership will focus on:
- Seamless integration of custom computer vision models into scalable cloud-based platforms
- Accelerating growth for PMF-powered products, when internal resources hit capacity or expertise is missing.
- Providing tailored solutions for industries like logistics, retail, medtech, and industrial automation
With Ardas’ deep expertise in scalable architecture, DevOps, and AI engineering, and EyePop.ai’s flexible visual intelligence layer, the collaboration makes it easier for companies to build responsible, high-performing AI products from the ground up.
Whether you're prototyping a smart factory dashboard or launching a full-scale AI-powered app, Ardas and EyePop.ai now offer a unified path from idea to deployment.
About Ardas
Ardas is an AI-first software development partner helping product-led companies scale faster. Specializing in SaaS architecture, cloud infrastructure, and AI product development, Ardas supports clients across healthcare, logistics, MarTech, and more.
With long-term dedicated teams, Ardas helps businesses overcome development bottlenecks, modernize legacy systems, and bring impactful digital products to market.
About EyePop.ai
EyePop.ai is a low-code computer vision platform that helps teams build and deploy AI-powered vision solutions without needing a PhD in AI. Designed for business users and product teams, EyePop enables fast experimentation, custom model creation, and real-time deployment for use cases ranging from safety to automation to retail analytics.
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FAQ
What is the primary goal of the Ardas and EyePop.ai partnership?
The main aim is to enable our clients to go from vision model experimentation to production-ready, scalable AI vision systems faster and with fewer technical barriers.
How does EyePop.ai’s platform complement Ardas’ services?
EyePop.ai provides an intuitive way to build and train vision models, while Ardas integrates those models into full product architectures and scalable software systems.
Which industries can benefit most from this collaboration?
Industries such as sports, logistics, retail analytics, medtech, and industrial automation can leverage joint solutions to add reliable computer vision capabilities.
When should a company consider engaging with Ardas for computer vision integration?
When you already have a vision model or idea and need expertise around scalable deployment, integration with existing software, and long-term maintenance.
What advantage does this partnership give to CTOs, Founders and CEOs?
It provides a unified path from prototyping to deploying real operational vision workflows, reducing risk, time, and engineering overhead.