Stack AI
Document processing
Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
- 1M+ documents processed for enterprise clients
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.
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Sellers lost hours to manual research. AI agents now prioritize leads and draft briefs, cutting prep time by 80%.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
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.
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Sellers lost hours to manual research. AI agents now prioritize leads and draft briefs, cutting prep time by 80%.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.