Nimble launches Web Search Agents that slash AI research token costs by 51% while boosting accuracy
New York-based startup Nimble unveiled Web Search Agents, a domain-specialized retrieval system that cuts token costs by 51% while improving AI research accuracy by 21%. The platform uses self-learning algorithms to adapt search strategies for enterprise workloads, targeting developers building autonomous agents for research, competitive intelligence, and compliance workflows.