Saiwa offers a no‑code, cloud‑based computer‑vision platform that provides image‑processing APIs for detection, authentication, annotation, and custom model training, enabling organizations to add AI capabilities without managing infrastructure or ML talent. Its Sairone product applies AI to drone‑captured RGB and multispectral imagery for precision agriculture and environmental monitoring, delivering weed detection, species mapping, and yield estimation through scalable, pay‑as‑you‑go APIs.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations across agriculture, environmental monitoring, and other industries often lack in‑house data science expertise and must invest heavily in infrastructure to process large volumes of imagery for tasks such as weed detection, yield estimation, and object counting. This creates high capital costs, long deployment times, and barriers to adopting computer‑vision AI.
Solution
Saiwa provides a no‑code, self‑serve computer‑vision platform that abstracts the complexity of building, training, and deploying deep‑learning models. The Fraime service offers an online suite of image‑processing APIs—including detection, authentication, annotation, and custom model training—delivered via cloud infrastructure, allowing users to integrate AI capabilities through RESTful endpoints without managing servers. Sairone extends this capability to precision agriculture and environmental monitoring by coupling drone‑captured RGB/multispectral imagery with AI models that detect weeds, invasive species, estimate yields, and count seedlings. Both products support modular integration (APIs, webhooks) and customizable branding, enabling rapid, pay‑as‑you‑go adoption for a wide range of use cases while reducing capital expenditures and reliance on specialized ML talent.
Target Audience
Primary customers are agribusinesses, environmental monitoring agencies, and enterprises in manufacturing, logistics, or research that require scalable computer‑vision analytics but lack dedicated AI teams.
Features
- Cloud‑hosted AI backend with REST APIs and real‑time webhooks for seamless integration into existing workflows
- No‑code interface for data annotation, model training, and deployment, eliminating the need for in‑house ML engineers
- Drone‑enabled aerial analytics in Sairone for weed/invasive plant detection, species‑level mapping, and yield estimation using RGB and multispectral imagery
- High‑accuracy object detection and counting pipelines (e.g., YOLO/R‑CNN) supporting AI Counting across agriculture, manufacturing, logistics, and research
- Flexible deployment options: fully branded white‑label solutions, custom on‑premise setups, or standard cloud instances with pay‑as‑you‑go pricing
- Comprehensive documentation and SDKs for rapid development and integration across platforms