JolSoftware develops machine-learning systems for computer vision, statistical analysis, forecasting and unstructured data. The portfolio documents an advertising anti-plagiarism engine at 10,000 requests per second with 97% identification accuracy, plus a receipt-recognition product with 97% accuracy that replaced the work of 17 people and reduced operating cost by up to 90%.
A product team stays with the project from the first workshop through production support. The scope changes as evidence arrives, while ownership and delivery checkpoints stay clear.
The team defines the input, target decision, confidence threshold and review path before selecting a model. Production work also covers APIs, monitoring and performance.
The portfolio documents image similarity, object tagging, ad selection, receipt recognition, motion detection, forecasting and large-data visualization.
The client owns the source code and project intellectual property under the signed contract. We can also sign an NDA before reviewing sensitive product or business information.
Yes. The same team can handle monitoring, maintenance, feature releases and product iterations after launch. The support scope is agreed for each project.
JolSoftware works from Austin, Texas and Odesa, Ukraine. The company serves clients in the United States, Israel, Ukraine and the European Union.
Share the users, workflow and constraints. We will review the brief before discussing scope.