Fambot Launches Family Planning Assistant With $3.5 Million in Funding
Fambot has launched an AI assistant for family logistics with more than 1,000 families on the platform and $3.5 million in funding before a seed round, the company announced in a press release. The round was co led by NextView Ventures and Baukunst, with participation from Correlation Ventures, Karman Ventures, and Founders Network.
Fambot reads school emails, newsletters, calendar invites, and WhatsApp groups, then sends parents a daily summary by text message. The service connects to email services including Gmail, Outlook, and Hotmail, as well as calendars and WhatsApp.
The company says the product can extract tasks and details from family communications, such as permission slips, chaperone sign ups, lunch requirements, and bus departure times. A shared family account lets both parents receive the same digest and assign tasks and events to each other.
Fambot was founded by David Reich, Greg Karlin, and Jason Morrow, who previously worked at Uber, Instagram, and Google. The app is available on iOS and Android and is currently free while in beta.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Funding Brief, Sales & Marketing AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Funding
Oct 17 Disney Plans $180 Million Package for Character.AI Hires Oct 17 Homa Raises $5 Million and Adds Mortgage Lending Oct 17 SoftBank Weighs $30 Billion Allied Universal Acquisition Oct 17 Solvera Raises $6.3M for AI Construction Engineering Oct 16 Anthropic Investor Valuation Falls to $1.5 TrillionSales & Marketing AI Weekly
News about AI tools and innovations for Sales and Marketing professionals.
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
FLÆ Robotics raises over €1 million for hotel AI agent
Ambi Raises $26 Million for Background Listening AI App
Zenzap Raises $44 Million for AI Workplace Messaging App
AI Menu4You Launches Family Meal Planning App
Flozic Launches AI Agent Platform Across Thousands of Apps
Daily AI Brief: the AI news that matters, in your inbox.