Engineers struggled to link scattered data. Now, an automated system connects sources instantly, fueling accurate autonomous agents.
A full-stack agent framework specializes in building fully autonomous AI agents for enterprises, offering pre-built digital workers for sales and content marketing.
Building autonomous agents requires reliable access to customer-specific data scattered across disparate storage systems. The engineering team faced...
“We are extremely thankful to Jerry and team for bringing LlamaIndex to the AI community. You guys have saved countless hours of tackling data retrieval challenges for us and many other builders in this space.”
Low-code agentic AI framework for building generative AI applications.
Data framework and agentic OCR platform for building LLM-powered applications.
Related implementations across industries and use cases
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Complex tool calls broke earlier models. Claude now navigates nested data, enabling agents to drive 3-5x productivity gains for clients.
Ambiguity slowed development cycles. Agents now reason through code reviews and refactors, saving 2,300 hours per client.
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.