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
Nov 12 Octave Acquires Cerebre for Industrial AI Plant Models Nov 11 StitchStudio raises $8M for insurance AI products Nov 11 Stage 2 Capital Closes $100 Million for B2B AI Investments Nov 11 Enza Capital secures $21 million for African AI fund Nov 11 Goldman Sachs Forecasts Anthropic Revenue of $685 Billion by 2030AI 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
Larridin raises $30 million to measure enterprise AI returns
Opply Raises $7.5M for Consumer Goods Operations Platform
Claimlane raises €5.6 million for AI claims agents and US expansion
Broccoli Raises $52 Million for Home Service AI Agents
Ramp Raises $1.85 Billion at $60 Billion Valuation
Daily AI Brief: the AI news that matters, in your inbox.