MaxusAI is a no-code platform that enables domain experts to build and deploy visual AI detection models without requiring coding expertise. The platform provides a secure, end-to-end environment for experimenting with and continuously improving AI-powered visual detection use cases.
Funding
$149.8K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing and deploying visual AI models for object detection requires specialized coding skills and expertise, creating a barrier for domain experts who lack programming knowledge. Traditional AI development processes can be lengthy and complex, hindering rapid experimentation and deployment of visual AI solutions.
Solution
MaxusAI provides a no-code platform that empowers domain experts to build, train, and deploy custom visual AI detection models without writing any code. The platform's intuitive interface and AI-powered labeling tools streamline the data annotation process, enabling users to create high-quality datasets efficiently. MaxusAI's end-to-end environment supports continuous experimentation and improvement of AI-powered visual detection use cases, allowing organizations to rapidly prototype and deploy solutions tailored to their specific needs. The platform maximizes the domain expert’s time with automated model training using deep learning.
Target Audience
MaxusAI targets domain experts and organizations across various industries, including utilities, geospatial, construction, transport, agriculture, and work health & safety, who seek to leverage visual AI for asset monitoring, defect detection, compliance, and other applications.
Features
- No-code visual interface for building and deploying AI models
- AI-powered labeling tools for automated data annotation and segmentation
- Active learning capabilities to improve model accuracy with fewer samples
- Support for image and video annotation
- Team collaboration features for distributed work and progress tracking
- Model export in common formats like COCO, YOLO, and PASCAL VOC
- In-browser operation without advanced installation or configuration
- Local annotation of assets without lengthy uploads
- Secure data storage with metadata-only storage for assets