Loop AI Tech Stack

Agentic AI platform for restaurant operations and digital revenue

Technology, Information and Internet San Francisco, CA 51–200 employees Privately Held

Loop AI builds an agentic co-worker product targeting restaurant operators, with a tech stack spanning ML infrastructure (PyTorch, TensorFlow, Hugging Face, MLflow, Kubeflow), workflow automation (n8n, Airflow), and financial systems (NetSuite, QuickBooks, Stripe). Hiring is ops-heavy (16 roles) relative to engineering (8), suggesting the company is scaling implementation, customer success, and playbook delivery faster than core platform development — a pattern typical of early-stage vertical SaaS moving from product-market fit to repeatability.

Tech Stack 38 technologies

Core StackNetSuite QuickBooks Braze Python Django React TypeScript dbt PyTorch TensorFlow MLflow Kubeflow Apache Airflow Stripe PostgreSQL n8n Zapier Salesforce Blackline FloQast Sage Helium 10 Jungle Scout Hugging Face Transformers PEFT ONNX TensorRT GCP LinkedIn Recruiter Apollo+8 more

What Loop AI Is Building

◆Challenges

Improving customer value metrics
Optimizing time to value
Reducing time to value for enterprise customers
Improving agentic workflows
Operational and financial challenges
Improving time to value
Streamlining agentic workflows
Ensuring 10-star value delivery
Delivering value to enterprise customers
Scaling finance product to enterprise customers

▲Active Projects

Building playbooks for sales and customer support
Monitoring and improving agentic workflows
Implementing business roadmap for customers
Developing agentic workflow templates
Customer storytelling and value roadmap
Playbooks for sales gtm customer success
Customer value metrics
Creating templates and agentic workflows for customers
Content marketing initiatives
Conference and event presence

Hiring Activity

Accelerating50 roles · 40 in 30d

Department

Ops

Product

Engineering

Sales

Marketing

Operations

Finance

Seniority

Senior

Mid

Staff

Director

Lead

Manager

Principal

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About Loop AI

Loop AI builds an agentic platform designed to help restaurant brands measure, protect, and grow digital revenue. The product targets mid-market and enterprise restaurant operators. The company operates from San Francisco with a 51–200 person team, actively hiring across operations, product, and engineering. The ops-focused hiring velocity (38 roles posted in the last 30 days) reflects investment in customer implementation and workflow deployment. Core pain points center on time-to-value for enterprise customers and optimizing agentic workflow performance at scale.

HeadquartersSan Francisco, CA

Company Size51–200 employees

Hiring MarketsUnited States, India

Frequently Asked Questions

What AI and ML tools does Loop AI use?

Loop uses PyTorch, TensorFlow, Hugging Face Transformers, PEFT, MLflow, Kubeflow, and ONNX + TensorRT for inference. The stack indicates production-grade ML infrastructure for training and deploying agentic models.

What workflow automation tools does Loop AI use?

Loop uses n8n, Zapier, and Apache Airflow for workflow orchestration, alongside dbt for data transformation and PostgreSQL for persistence. These support playbook automation and agentic workflow templates.

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How this profile is built

Loop AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.