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As the marketplace grew, manual material classification became slower and less consistent, and offering relevant recommendations got harder.
Crata AI built a system that combines computer vision, product recommendation and data analysis, integrated via API with Recircular's existing platform.
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Patricia Astrain
CEO
When the challenge is defined and you need to build and integrate your own solution, adapted to your processes and under the agreed ownership terms.
Talk to an AI expertWhen you need to assess your starting point, prioritize use cases, estimate ROI and leave with a roadmap before investing in development.
Discover AI QuickstarterWhen the goal is to automate specific workflows with agents that act on your existing tools, data and processes.
Discover AI agentsSupported by
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A custom solution is built to solve a specific need in your company. It lets you adapt features, work with your own data and integrate with your processes and tools.
Define the problem you want to solve and the result you expect. In the first phase we review your data, systems and requirements to assess the project scope.
Yes, as long as your tools and data allow it. We analyze your existing systems before defining the architecture and development.
The investment depends on the features, available data, technical complexity and integrations. After analyzing the project, we prepare a proposal adapted to its scope.
It depends on the complexity and your starting point. We define phases, timelines and validations before development begins.
We provide the necessary documentation and prepare your team to use it. Code ownership, maintenance and support terms are set out in each project's proposal.
We set indicators tied to the project goal, such as time saved, fewer errors or accuracy of results, and measure them on real use of the solution.