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Ignite your AI
transformation with a
FREE Proof of Concept

Turn an AI concept into reality. Get started now and apply to have your AI-powered POC built at no cost by Sotyra and AWS.


    Get your Proof of Concept started faster with these pre-defined solutions developed for the most common use cases in consumer packaged goods and manufacturing.

    AI-powered recommendations

    Create relevant and personalized recommendations based on customer behavior during the shopping journey, to encourage the purchase of items.​

    Generative AI Q&A for Products

    Enhance the user experience using a Gen AI-generated question and answer system.

    Model-based Document Analysis

    Create a standard document template that can be used in different formats to compare specific points between files.​

    Accelerating Data with Dora​

    A platform for Data Lakehouse on AWS that covers data ingestion, storage, cataloging, access and security, that consolidates and democratizes information in an agile and reliable way.​

    Igniting your AI transformation is faster than ever.

    Sotyra specializes in Data Analytics, Machine Learning, Artificial Intelligence, and Generative AI.

    After submitting the form, we’ll setup a complimentary AI consultation with you and determine if you can qualify to have your Proof of Concept (PoC) developed at no cost with Sotyra and AWS Funding programs.

    A PoC can streamline processes, boost efficiency, and open new revenue streams, proving its worth before you commit significant resources.

    Proof Of Value

    Confirm business value and ROI potential of new initiatives to access a clear justification for further investment.

    Innovation Validation

    Explore and validate cutting-edge technologies to ensure they can serve the intended business purpose effectively.

    Knowledge Acquisition

    Facilitate learning and upskilling of new tech within your organization, preparing teams for future integrations and developments.

    Risk Mitigation

    Reduce uncertainty by testing concepts before full-scale implementation, ensuring feasibility and uncovering potential issues in advance.