Nimble launches Web Search Agents to cut AI research token costs
Web search platform company Nimble today launched Web Search Agents, a product that learns a customer's domain and then runs complex web research tasks on its own. The company is aiming the release at teams that have found general-purpose web search too blunt for production agents. Generic tools return a wide, unstructured set of results [...
Key Takeaways
- SiliconANGLE UPDATED 09:00 EDT / JULY 29 2026 AI Nimble launches Web Search Agents to cut AI research token costs by Duncan Riley Web search platform company Nimble today launched Web Search Agents, a product that learns a customer's domain and then runs complex web research tasks on its own.
Generic tools return a wide, unstructured set of results and leave the agent to work out what is actually relevant, an approach that burns tokens on unnecessary tool calls and on processing pages that do not matter.
- "For enterprises, the real bottleneck is accuracy and cost," said Uri Knorovich, chief executive and co-founder of Nimble.
"Agents need the right live web context without wasting tokens or relying on generic search results.
- Developers can wire it in as a tool inside an existing agent or build applications on top of it, from low-latency search through to deep research and structured dataset generation.
Nimble says the platform is fielding more than 90 million searches a day.
- , Hetz Ventures, Slow Ventures, R-Squared Ventures, J-Ventures and InvestInData also participated.
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Stats & Key Facts
- #SiliconANGLE UPDATED 09:00 EDT / JULY 29 2026 AI Nimble launches Web Search Agents to cut AI research token costs by Duncan Riley Web search platform company Nimble today launched Web Search Agents, a product that learns a customer's domain and then runs complex web research tasks on its own.
- #Benchmark testing published by Nimble showed a 21-point increase in answer quality and 51% fewer tokens spent per query.
- #Rox, an AI-native customer relationship management company, reported a 20-fold reduction in token costs after adopting the service, alongside better quality and completeness in the information reaching its agents.
- #Nimble says the platform is fielding more than 90 million searches a day.
SiliconANGLE UPDATED 09:00 EDT / JULY 29 2026 AI Nimble launches Web Search Agents to cut AI research token costs by Duncan Riley Web search platform company Nimble today launched Web Search Agents, a product that learns a customer's domain and then runs complex web research tasks on its own. The company is aiming the release at teams that have found general-purpose web search too blunt for production agents. Generic tools return a wide, unstructured set of results and leave the agent to work out what is actually relevant, an approach that burns tokens on unnecessary tool calls and on processing pages that do not matter.
Nimble's pitch is that a market research agent and a lead enrichment agent should not get the same product. Its harness self-learns the knowledge work involved in a task and adapts retrieval strategies to it, combining proprietary indexes with real-time retrieval from live sites to pull what the company describes as the freshest and most granular information available. Benchmark testing published by Nimble showed a 21-point increase in answer quality and 51% fewer tokens spent per query.
"For enterprises, the real bottleneck is accuracy and cost," said Uri Knorovich, chief executive and co-founder of Nimble. "Agents need the right live web context without wasting tokens or relying on generic search results. Nimble is going after agents that run for hours on business-critical research, where a missed source costs more than a slow answer.
For more details please read the original article at SiliconANGLE AI.
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