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.
Delphi's Document processing is part of this use case:
Related implementations across industries and use cases
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
Standard parsers couldn't read scientific charts. AI now extracts visuals into text, making hidden data searchable.
Rapid code changes left documentation outdated for weeks. An AI agent now monitors every commit and auto-generates PRs to fix discrepancies.
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
Standard parsers couldn't read scientific charts. AI now extracts visuals into text, making hidden data searchable.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
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.
Delphi's Document processing is part of this use case:
Related implementations across industries and use cases
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
Standard parsers couldn't read scientific charts. AI now extracts visuals into text, making hidden data searchable.
Rapid code changes left documentation outdated for weeks. An AI agent now monitors every commit and auto-generates PRs to fix discrepancies.
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
Standard parsers couldn't read scientific charts. AI now extracts visuals into text, making hidden data searchable.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.