- Specialization
- Computer Vision
- Business
Inference Servingand 1 more business valuesLess
- Model Development
- Market
- Software Development
- Ecosystem
- Not classified
- Customers
Developersand 1 more customers valuesLess
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Not classified
- Business
- Inference Serving, Model Development
- Specialization
- Computer Vision
- Market
- Software Development
- Customers
- Developers, Enterprises
- Delivery models
- API
- Revenue models
- Usage Based
- Listing status
- Not classified
- Latest equity round
- Seed
- Reported funding amount
- Not classified
About
Dragoneye builds zero-shot computer-vision tools and custom video-detection models for developers building image- and video-powered applications. Its platform lets users describe detection categories in plain English and deploy models within minutes, without collecting training data or maintaining computer-vision infrastructure.
Market
Dragoneye competes in developer-focused computer vision and image/video intelligence, positioning itself as a way to move from a plain-language model specification to a deployable recognition model without collecting and annotating training data or maintaining infrastructure. Its differentiation is speed and automation—zero-shot detection, conversational model building, attribute extraction, and lightweight SDK/MCP integrations—versus broader vision APIs and more conventional end-to-end computer-vision platforms that require more model-development work.
Dragoneye targets developers and product or engineering teams building image- and video-enabled applications, particularly in security monitoring, workplace and construction safety, PPE compliance, and manufacturing or production-line operations. It is especially suited to teams that need production computer vision but lack extensive labeled data or specialized computer-vision and machine-learning expertise.
At a Glance
Problem
Building computer-vision features is slow, expensive, and technically demanding. Teams may need thousands of hours of annotated video, specialized machine-learning expertise, and repeated model training before they know whether a feature will work; even a trial can cost tens of thousands of dollars and take months. The main use cases are video-heavy operational workflows such as security-camera analysis, PPE and construction-site safety compliance, and production-line monitoring.
Product / Service
Dragoneye is a developer-facing computer-vision platform that turns a plain-language model specification into an image or video detection model. Through its Playground, a user uploads a video, describes the categories or attributes to detect, previews streaming predictions, iterates on the specification, and deploys the resulting model. Its zero-shot models eliminate the need for customer-supplied training data, while the hosted service removes the need to maintain inference infrastructure; Python and Node.js SDKs provide API integration into applications. Dragoneye’s stated benefit is moving from idea to production in minutes rather than months, with models live in seconds and a published entry price of $10 in free credits.
Market
Dragoneye competes in AI/ML developer tools and computer-vision APIs, particularly the market for custom image and video recognition without traditional data annotation and model-training workflows. Crunchbase names Hive, LandingAI, and Amazon Web Services as possible alternatives, although these are broad category competitors rather than evidence of direct feature-for-feature parity.
The company appears early stage rather than demonstrably scaled. It was founded in 2023, participated in Y Combinator’s Winter 2024 batch, is listed as active with a two-person team, and is backed by Y Combinator. Public funding estimates are inconsistent—Tracxn reports $500,000 while PitchBook reports $695,000—and the available evidence does not disclose revenue, named customers, or customer counts, so the company’s revenue status and commercial traction cannot be established beyond its live Playground, API, and SDK offering.
Founders & Leadership
Funding History
Y Combinator
New York Ventures
Recent News
Dragoneye launched an MCP server that lets coding agents create, update, inspect, and manage Dragoneye models directly from the development workflow, then integrate image and video detection into applications. It supports MCP-compatible clients including Claude Code, Codex, Cursor, and Devin over streamable HTTP with OAuth.
Active Roles
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Get notified when they postBusiness Model
Dragoneye monetizes usage of its vision APIs and SDKs through pay-as-you-go charges of $0.046 per minute of video and $0.005 per image. It also offers volume-based pricing for larger teams, with additional revenue opportunities from bespoke model fine-tuning and priority support.