EyePop
EyePop.ai is an AI platform designed to simplify computer vision projects. The no/low code solution makes visual data analysis accessible t...
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What is EyePop?
EyePop.ai is a self-service computer vision platform that helps users detect, measure, count, describe, and otherwise analyze objects and activity in images, videos, and live streams. It is positioned as a way to replace manual review of visual content with AI-driven workflows.
The platform offers both ready-to-use AI vision models and custom model training, so teams can start quickly with prebuilt abilities or train their own models on their own data. Its website emphasizes guided, step-by-step setup, auto-labeling, prioritization, and a workflow that can move from defining a target to deploying a trained ability.
EyePop.ai is built to run in the cloud, on edge devices, or fully on-premise, which makes it attractive for teams with privacy, latency, or compliance requirements. The company says it can be used without ML expertise and that it is designed for operations teams as much as for developers.
The product appears aimed at startups, SMBs, software agencies, and industry teams that need visual intelligence for surveillance, marketplaces, CDNs, roofing, construction, insurance, agtech, and similar use cases. The docs also mention SDK support for React/Node and Python, plus APIs for real-time visual analysis and demographic insights.
EyePop pricing
Pricing model: Free
Pricing on the website is split across self-service training and developer-documentation pricing. The self-service training page lists Basic as first 30 days free, then $20/month, with shared data, limited pre-trained model access, limited custom training, included tutorials, community support, and a usage cap. Pro is $200/month, includes private data handling, full custom model training access, full pre-trained model library access, object auto-labeling and prioritization, cloud and edge deployment, community and expert support, early access to new features, HIPAA compliance via BAA, and standard tiered usage. Enterprise starts at $800/month, adds dedicated servers, white-glove support, and custom bulk pricing options. The developer-documentation pricing page also lists a Free Tier Package with 1000 images and 120 minutes of video processing, a Dev Tier Package with 65 compute hours per month and optional premium models at $0.30/hour, a Live Stream Package with 750 compute hours per month and premium models at $0.20/hour, and Enterprise as contact-for-quote. The docs state billing is based on Pop uptime hours, Pops are billed individually, inactive Pops auto-pause after 30 minutes, and overage is charged at the end of the billing period.
EyePop pros
- Self-service computer vision platform
- No in-house ML team required
- Custom model training in hours
- Ready-to-use model library
- Detects, measures, and counts objects
- Works with images and videos
- Supports live streams
- Cloud deployment available
- On-premise deployment available
- Edge deployment available
- Auto-labeling and prioritization
- Guided step-by-step workflow
- API-driven integration
- React/Node SDK support
- Python SDK support
- Built for startups and SMBs
- Supports industry-specific workflows
- Structured JSON-like output via POPs
- Can run on your data and environment
- Offers expert and community support
EyePop cons
- Free/basic tier is usage-capped
- Basic tier uses shared data
- Custom training is limited on lower tiers
- Premium models cost extra on Dev tier
- Overage charges apply
- Billing based on Pop uptime hours
- Multiple Pops consume separate uptime hours
- Enterprise pricing requires contacting sales
- On-premise deployment adds operational complexity
- Best fit is computer vision use cases only
- Not a general-purpose AI platform
- Feature depth may depend on plan
- Some capabilities are tied to guided workflows
- Custom training on Live Stream package requires contact
- Advanced compliance/hosting needs may require Enterprise
Frequently asked questions about EyePop
What does EyePop.ai do?
EyePop.ai is a self-service AI vision platform that turns images, videos, and live streams into structured, actionable insights. The site says it can detect, measure, count, describe, classify, and moderate visual content, and it is designed to replace manual footage review with automated computer vision workflows.
Who is EyePop.ai built for?
The website says it is built for startups, SMBs, software development agencies, and operations teams that need visual intelligence without hiring machine learning specialists. It is also presented as useful for industries like surveillance, marketplaces, CDNs, roofing, construction, insurance, and agtech.
Do I need machine learning expertise to use it?
No. The site repeatedly says that no ML expertise is required, and that users can train, deploy, and refine models through a guided self-service workflow. It positions the platform as usable by developers and operations teams rather than only by data scientists.
Can I train my own model?
Yes. EyePop.ai says you can upload or connect your own images, videos, or live stream data, define what you want to detect, use auto-labeling and prioritization, train an ability, and then deploy it. The site emphasizes that custom models can be created in hours instead of months.
Where can EyePop.ai run?
The platform says it can run in the cloud, on edge devices, or fully on-premise. It also says this flexibility is meant for cases where data sensitivity, latency, or policy require keeping the system inside your own environment.
What kind of integrations does EyePop.ai support?
The documentation highlights APIs, a React/Node SDK, and a Python SDK. The self-service training page also mentions advanced integrations such as Zapier, Bubble, and Slack for easier workflow connection.
What are the free or entry-level options?
The self-service training page lists a Basic plan with the first 30 days free, then $20 per month, plus shared data, limited pre-trained model access, limited custom model training, guided tutorials, and community support. The developer pricing page also lists a separate Free Tier Package with access to all models, 1000 images, and 120 minutes of video processing.
How does pricing work for paid usage?
The docs say billing is based on Pop uptime hours, and each Pop is billed individually. The Dev tier includes 65 compute hours per month, the Live Stream package includes 750 compute hours per month, overages are billed when usage exceeds the included amount, and inactive Pops are automatically paused after 30 minutes to reduce wasted uptime.
What is included in Pro?
The Pro plan is listed at $200 per month and includes private data handling, full access to custom model training, full access to the pre-trained model library, object auto-labeling and prioritization, cloud and edge deployment, community and expert support, early access to new features, and HIPAA compliance through a BAA.
Does EyePop.ai support production or enterprise deployments?
Yes. The site says it is built for production, not just proof of concept, and it supports cloud, edge, and on-premise deployment. Enterprise options start at $800 per month on the self-service page, and the developer pricing page says Enterprise is quote-based with proprietary model training and secure hosting options.