AI Image Classifier
National Insurance Institute INS
📍 Costa Rica – Insurance Sector
Context
INS faced a manual and inefficient process for reviewing vehicle photographs. Each case included at least six images taken from different angles, requiring lengthy manual analysis that was prone to errors and resulted in response times that negatively impacted both operational efficiency and customer satisfaction.
The Challenge
Manual image verification could take up to 30 minutes per vehicle, delaying feedback and creating a poor user experience. This slow operation directly affected service quality and timely decision-making regarding the evaluated vehicles.
iData’s AI-powered solution
iData implemented an artificial intelligence–based solution that automated the review of vehicle photographs, optimizing analysis time and increasing accuracy. As a result, INS accelerated the process, reduced errors, and freed staff from repetitive tasks, allowing them to focus on higher-value strategic activities.
- Significant reduction in vehicle photo review times
- Over 90% of cases analyzed automatically, with less than 10% requiring manual review
- Improved customer experience through faster and more reliable responses
Technologies AppliedÂ
- Azure Custom VisionÂ
- Azure Computer VisionÂ
- Form RecognizerÂ
- Cosmos DBÂ
- Data Lake StorageÂ
- Azure FunctionsÂ
- Power AutomateÂ
- API ManagementÂ
- GitHubÂ
Satisfied clients across multiple industries
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FREQUENTLY ASKED QUESTIONS
Frequently asked questions about Data & AI
What benefits does my company gain by implementing data and AI-based solutions?
By implementing data and artificial intelligence solutions, your company can make faster and more accurate decisions, automate processes, improve operational efficiency, reduce costs, and gain real-time visibility into business performance.
How can I tell if my company is ready for a data strategy?
Your company is ready if it handles large volumes of information, needs to improve decision-making, faces process inefficiencies, or requires greater operational visibility. During an initial consultation, we assess your data maturity level and define a tailored roadmap.
Do you work with companies across different industries?
Yes. iData supports organizations in sectors such as retail, logistics, technology, manufacturing, education, healthcare, and more. We adapt every solution to the specific context, challenges, and needs of each industry.
What sets iData apart from other data consulting firms?
We stand out by combining strategy, cutting-edge technology, automation, proven methodologies, and partnerships with global leaders such as Microsoft and Databricks. Our approach is comprehensive and results-driven.
How long does it take to implement a data or AI solution?
Timelines depend on the type of project, its complexity, and the company’s existing systems. However, most initial implementations can be delivered within 6 to 12 weeks, with visible progress from the early stages.
What type of support do you offer after implementation?
We provide ongoing support, monitoring, optimization, and strategic guidance to ensure the solution evolves alongside your business. Our expert team ensures the platform remains stable, secure, and aligned with your objectives.
