We transform scattered information—structured or not—into an organized, governed, and ready-to-use asset.
WHAT WE SOLVE
We transform 100% of enterprise data in structured and unstructured formats (documents, images, audio, video) into governed and actionable assets, resolving the chaos of scattered information lacking metadata and control.
We apply AI to automatically extract, classify, and enrich information, adding intelligent metadata, establishing data lineage, and implementing governance policies that ensure compliance and quality.
WHAT TECHNOLOGY WE USE
At TIMIA adapt to your technological environments and work with the tools your company already uses. Our team is proficient in leading technologies such as Apache Unstructured, Azure Document Intelligence, AWS Textract, Google Document AI, Tesseract OCR, Whisper for audio, computer vision models, and Apache Atlas for governance.
FAQs
Solve the chaos of scattered and unmanaged information that prevents reliable decision-making. At TIMIA data and unstructured data into governed business assets, reducing risks, improving data quality, and enabling decisions based on reliable information.
Most critical business information resides in documents, images, audio, and video files. Without governance, this data be audited, exploited, or scaled. TIMIA convert this information into value, complying with regulations and enabling advanced analytics and AI.
AI enables automatic information classification, lineage definition, and the application of access and retention policies. This ensures regulatory compliance, traceability, and control, reducing legal, operational, and reputational risks.
Through automatic extraction, classification, and enrichment, AI manual effort and speeds up the availability of information. At TIMIA from months to weeks to enable data for analysis, automation, and decision-making.
TIMIA leading extraction and governance technologies such as Azure Document Intelligence, AWS Textract, Google Document AI, Whisper, computer vision, and Apache Atlas, integrated under a scalable and governed architecture. The focus is not on the tool, but on ensuring quality, control, and sustainable value of the data.
