Loop AI Raises $14 Million Series A to Expand Restaurant AI Platform
San Francisco-based Loop AI has raised $14 million in Series A funding, announced in a press release. The round was led by Nyca Partners, with participation from Base10, Afore Capital, Converge, Alumni Ventures, Data Tech Fund, Gokul Rajaram, John Pepper, 9Yards Capital, and Operators Studio. Osama Bedier, investment partner at Nyca Partners and former executive at Google and GoDaddy, will join Loop AI’s board of directors.
Founded in 2022, Loop AI develops an enterprise-grade AI platform for restaurant and retail back-office operations. The company’s technology uses agentic workflows to help restaurants manage delivery operations while maintaining profit margins comparable to in-store sales.
Loop AI plans to use the new capital to expand its product suite and increase headcount across its offices in New York, San Francisco, Tampa, and Bangalore. The company reports sixfold growth since 2024 and now supports thousands of restaurants, including brands such as Lazy Dog and Starbird.
Clients use Loop AI’s tools to optimize delivery strategies and improve operational efficiency as the delivery segment continues to grow within the restaurant industry.
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:
More from Funding
Sep 26 Nscale Raises $3.36 Billion in Convertible Financing Before IPO Sep 26 Overlord Labs Raises $7.25 Million for Battery Intelligence Chip Sep 25 NewMod Fearn Launches Patent Law Firm After $5.5 Million Raise Sep 25 Chamelio Raises $26 Million for Legal AI Platform Sep 25 Noxtua Raises €100 Million as C.H.Beck Takes Majority StakeAI 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
Decimal AI Raises $4 Million for Customer Support Engineering Platform
Overfuel Raises $6 Million for Dealership AI Tools
AI Hospitality Group Launches Hotel Operator With $7.5 Million
Lightfield Raises $47 Million for CRM Built for AI Agents
AI Score Raises $5.4 Million for AI Governance Platform
Daily AI Brief: the AI news that matters, in your inbox.