LinqAlpha Gets $22M to Build AI Agents for Investors
New York startup LinqAlpha closed a $22M Series A to build AI agents that help investment teams spot market signals faster than traditional methods.
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For years, the dominant concern for AI agents was capability. Could agents reason well enough? Could they use tools? Could they plan across multiple steps? The concern has shifted to […] The post The Agent Reliability Crisis appeared first on AIwire.
Read full articleNew York startup LinqAlpha closed a $22M Series A to build AI agents that help investment teams spot market signals faster than traditional methods.
AWS has increased key Amazon Bedrock AgentCore runtime quotas by up to fivefold, enabling enterprises to support more concurrent AI agents and user interactions without going through the quota-increase process that often slows production deployments. While quota increase service requests are free themselves, the added capacity is more likely to translate into higher underlying compute and runtime consumption as enterprises expand AI deployments. “The new default limits support up to 5,000 active concurrent sessions in US East (N. Virginia) and US West (Oregon), and 2,500 in all other supported Regions (previously 1,000 and 500 respectively),” AWS wrote in its release notes. The hyperscaler has also increased the number of interactions each AI agent can handle from 25 tokens per second to 200 tokens per second across all supported regions, which it says will enable enterprises to support more simultaneous user requests. Further, to help enterprises scale AI applications faster during pe
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BNB Chain has launched BNB Agent Studio, a developer platform for creating AI agents with wallets, onchain identities, payments and cloud hosting from a single prompt. The tool is built with AWS infrastructure and is designed to make autonomous agents easier to deploy, own, and operate. AWS and BNB Chain Launch AI Agent Studio With […]
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AI agents needs to be able to retrieve all the information that is relevant to the task. Enterprise AI agents need context graphs to do this.
AI agents needs to be able to retrieve all the information that is relevant to the task. Enterprise AI agents need context graphs to do this.