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Use Cases

Research & Synthesis Agents

Multi-step agents that search, read, summarize, and produce structured reports at ops scale. An investment research team at a growing asset manager processes 200+ documents per week through Diaflow.

Research run
Documents in queue14
Relevant chunks found340
Summaries generated14
Run time2.8s

How it works

Research synthesis agent workflow: document queue, vector search, LLM summarization, cross-reference, and structured report output

Customer story

An investment research team at a growing asset management firm in Hong Kong was receiving 200+ financial documents, regulatory filings, and market reports per week. Analysts were spending 30-40% of their time just reading and summarizing before they could do any analysis.

They built a Diaflow research pipeline: documents are queued from their email and web sources, vector search identifies relevant sections, an LLM summarization agent produces structured notes per document, and a cross-reference step flags when multiple documents discuss the same company or topic. Analysts now receive structured briefings instead of raw documents.

"We used to start every morning reading. Now we start every morning analyzing. The pipeline doesn't miss anything — it cross-references better than we do."

Research Lead, investment research team, Hong Kong

Process documents at ops scale

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