Workday Acquires Flowise to Enhance AI Agent Capabilities
Workday has acquired Flowise, a low-code platform that simplifies the creation of AI agents, announced in a press release. This acquisition aims to empower Workday's customers and partners by providing them with tools to build AI agents for HR and finance with increased speed and flexibility.
Flowise's platform supports the entire AI development process, from prototyping to deployment, offering developers greater control and scalability. The platform's open-source foundation has gained significant traction, processing millions of interactions and earning over 42,000 GitHub stars.
Peter Bailis, Chief Technology Officer at Workday, highlighted that integrating Flowise will enable customers to design and manage AI agents more effectively. Henry Heng, CEO of Flowise, expressed enthusiasm about joining Workday to further their mission of democratizing AI development.
The acquisition is expected to accelerate AI innovation within Workday's platform, offering unique benefits such as customization and transparency in AI agent development.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief, AI Funding Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Oct 2 Mews Launches AI Guest Messaging and Hotel Automations Oct 2 Slang AI Adds BentoBox Cofounder Krystle Mobayeni to Board Oct 2 Barclays Expands Claude Use Across Software Development Oct 1 SmartAC Launches Gen2 HVAC Sensor and Intelligence Model Oct 1 Workday Launches UAE Operations With Dubai OfficeMore from Funding
Oct 2 Broadcom Agrees to Lend Anthropic Up to $42 Billion Oct 2 PaleBlueDot AI Raises $200 Million at $3.2 Billion Valuation Oct 2 Photon Raises $4.5 Million for Messaging Based AI Agents Oct 1 Satlyt Raises $8 Million for Satellite AI Software Oct 1 Clio Acquires Judicial AI Provider Learned HandAI Funding Brief
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
Workday Named a Leader in Gartner Workforce Management Report
Workday Launches UAE Operations With Dubai Office
LinkSquares Adds AI Workflow Builder to Contract Platform
Plainly Launches Flows for Creative Workflow Automation
Pearson Agrees to Acquire Workera
Daily AI Brief: the AI news that matters, in your inbox.