Wisq Secures $15M to Launch HR-Specific AI Model

Jul 2, 2025
Wisq has raised $15 million to launch HRLM, a large language model tailored for HR tasks, enhancing AI capabilities in human resources.

Wisq has raised $15 million from existing investors Norwest Venture Partners, Shasta Ventures, and True Ventures, announced in a press release. This funding will accelerate the development of Wisq's HR-specific AI initiatives.

The company has introduced HRLM, a large language model designed specifically for the complex and policy-driven world of enterprise HR. HRLM is optimized for tasks such as HR service delivery, policy interpretation, performance management, and employee relations, offering a cost-effective alternative to general-purpose AI models. This model powers Wisq's AI HR Generalist, Harper, providing the necessary speed and accuracy for enterprise HR teams.

Additionally, Wisq has launched Hurdle, a benchmark to evaluate AI performance on HR-specific activities. HRLM performs on par with advanced reasoning models like OpenAI's o3, while operating more efficiently and at a lower cost. The funding will also support the expansion of Wisq's engineering and go-to-market teams.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

AI Funding News AI Brief AI Brief (X)
Free newsletter

AI Funding Brief

AI Token Webinar

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 more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.