AI & ML Development
Custom AI applications, machine learning, and computer vision for defined business problems.
Choose a useful AI problem
Risenine develops AI and machine learning applications for startups and businesses. We focus on the task the system must perform: detecting objects, classifying inputs, interpreting visual data, or supporting a decision with an evaluated model.
The starting point is the business workflow, available data, and a clear success criterion. A model should be selected for the problem and operating environment rather than added simply because an application needs an AI label.
Computer vision and applied machine learning
Our portfolio includes an AI shrimp counting application using YOLO and MobileNet, and weather-adaptive vision analysis combining SUMO and YOLO. These projects connect model development with specific visual analysis tasks.
A project scope can cover data preparation, model selection, application integration, and evaluation. Dataset permissions, representative inputs, failure cases, and computing constraints need to be established before deployment decisions.
Evaluate before scaling
Model quality needs to be measured on examples representative of the intended use. Accuracy, count error, latency, or other task-specific measures should be selected with the operational requirements in mind.
Share your use case, example data, current workflow, and intended environment. We can then discuss a suitable scope and the evidence needed to assess whether the system is ready for practical use.
Discuss your AI project.
Share the problem, available data, and workflow you want to improve.
Discuss your project