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What's Happening
- Prosper Global partnered with Cloudera to build VERA, a multi-agent research engine that accelerates crisis response analysis.
- The system runs on Amazon Web Services and uses Anthropic models to synthesize data from conflict tracker ACLED and local news.
- In Sudan, the tool reduced agricultural desk research from six days to two, saving about $1,500.
Why It Matters
Agentic AI is entering high-stakes humanitarian environments. By automating the initial data gathering phase, NGOs deploy resources faster while keeping human experts in control of final assessments.
The Context
- Prosper Global, formerly known as Mercy Corps, operates in 30 countries facing conflict, climate change and economic hardship.
- Traditional crisis research cycles take days to weeks of manual data collection before analysts draft reports.
- Prosper Global operates VERA, a system launched in June, across Ukraine, Colombia, and the Democratic Republic of Congo.
What They're Saying
- The system provides a starting point for analysts rather than a finished product, Prosper Global director of data science Aaron Eubank said.
- "We want to keep the agency in the hands of the researchers themselves," Eubank noted.
What to Watch
- Prosper Global plans to add more resources to the agentic system to create a curated research process for future crises.
The Bottom Line
Humanitarian organizations are adopting multi-agent AI to process conflict data faster without removing human oversight from critical decisions.
Mentioned in this story

Anthropic
Amazon Web Services Inc.