Squirro Releases Catalog of 13 Enterprise AI Agents
Squirro announced in a press release the general availability of its Agent Catalog, featuring 13 pre-built AI agents for business functions including finance, human resources, legal, sales, operations, and IT. The catalog is designed so that once an enterprise deploys the first agent, subsequent agents reuse the same foundation of data connections, security approvals, and compliance settings.
Each new agent builds on what came before, reducing deployment time and cost. Agents in the catalog include the Sales Enablement Knowledge Hub, Regulatory Document Search, Instaquote, and HR Compliance and Labor Law Search. These agents handle routine tasks using verified enterprise data with traceable citations and escalate uncertain items to human staff.
According to the press release, the catalog is already in use in production environments, with some agents co-developed alongside customers. Organizations can deploy an initial agent within weeks, and later agents inherit existing integrations and approvals, particularly useful for regulated industries. The Agent Catalog guide is available for download on Squirro’s website.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Sep 20 Litera Brings Foundation Firm AI Search to ChatGPT Enterprise Sep 19 Collinson Funds Priority Pass AI and App Expansion Through £500 Million Program Sep 19 Disney Names Former Character.ai CEO as Its First CTO Sep 19 Anthropic Picks Accenture for AI Safety Testing Sep 19 Huawei Unveils Immersive Telepresence SystemEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Abacus.AI Releases Three Smaug Open Weight Models
Cypris Adds R&D Agents to Microsoft Copilot
Quantara AI Releases Agent Network for Cyber Risk Pricing
Sabio and Gentoro Add AI Agents to Advertising Workflows
Storyblok Adds AI Agents for Content Management Tasks
Daily AI Brief: the AI news that matters, in your inbox.