Building models took months. Now, experts annotate docs to guide the AI, delivering functional solutions 90% faster.
An enterprise automation platform designed to capture, search, and analyze unstructured data embedded in complex documents and PDFs.
The traditional data science approach required months of model creation, training, and refinement before deployment. This slow development cycle...
“Artistic blend of our proprietary models built over years with Azure OpenAI unlocked great value to our customers, with some innovative solutions launched in never seen before speed.”
Agentic AI platform for intelligent document processing and workflow automation.
Enterprise software, cloud infrastructure, and consumer electronics platform.
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Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Summarizing answers took 14 seconds. Small language models cut that to 4 seconds and reduced costs by 4.2x.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.