Weave.AI Appoints Lisa Kalscheur as Chief Marketing Officer

May 24, 2025
Weave.AI has announced the appointment of Lisa Kalscheur as its new Chief Marketing Officer, bringing her extensive experience in SaaS marketing to the neuro-symbolic AI startup.
Weave.AI Appoints Lisa Kalscheur as Chief Marketing Officer

Weave.AI has announced the appointment of Lisa Kalscheur as its new Chief Marketing Officer, according to Global Newswire. Kalscheur, a veteran in SaaS marketing, will lead the company's marketing strategy, customer engagement, and go-to-market execution.

Kalscheur's previous roles include serving as CMO at Regal, Notarize, Kibo Commerce, and Monetate, where she played a pivotal role in scaling companies through high-growth phases and successful acquisitions. Her appointment is seen as a strategic move to position Weave.AI as a leader in neuro-symbolic GenAI for automating risk management, compliance, and due diligence in financial institutions.

Nosa Omoigui, CEO and Founder of Weave.AI, highlighted Kalscheur's unique ability to connect with clients and prospects, ensuring the company effectively conveys the power of its solutions to deliver significant growth. Kalscheur's leadership is expected to accelerate Weave.AI's go-to-market strategy and strengthen its relationships with top financial institutions.

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:

Enterprise AI AI Brief AI Brief (X)
Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

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.