Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
A platform generating AI-powered digital mentors ingests massive libraries of creator content, ranging from podcasts and blogs to spreadsheets and lecture notes.
Ingesting this unstructured data at scale led to frequent parsing failures with malformed PDFs and complex tables, resulting in confused LLM...
“We’re trying to give everyone access to the greats. You shouldn’t have to be in the right room to get the right guidance.”
AI cloning platform to create digital twins for experts and creators.
Data framework and agentic OCR platform for building LLM-powered applications.
Related implementations across industries and use cases
Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
Engineers hand-coded data pipelines for every prototype. Now, they automate ingestion to build working apps during sales calls.
Building models took months. Now, experts annotate docs to guide the AI, delivering functional solutions 90% faster.
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.