Delphi
Document processing
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
- Zero manual patching for ingestion pipelines
Engineers hand-coded data pipelines for every prototype. Now, they automate ingestion to build working apps during sales calls.
An AI consultancy deploying generative AI solutions for production applications across industries like Legal, Real Estate, and Finance.
Engineers struggled with long development timelines because they had to build custom data ingestion pipelines and write abstractions from scratch for...
“LlamaCloud has really sped up our development timelines - whether it's prototyping or production deployments. Before LlamaCloud, building even a simple application took forever because we needed to write our own abstractions for everything. When building an app for a client, a LOT of the work is building the ingestion pipelines. Doing that stuff with LlamaCloud and LlamaParse is remarkably simpler.”
AI studio building custom agents and productivity tools for enterprise workflows.
Data framework and agentic OCR platform for building LLM-powered applications.
Related implementations across industries and use cases
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
New document types took weeks of manual coding. GenAI cut setup to minutes, letting teams refine extractions via natural language.
Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
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.