echoloc

Loop Tech Stack

AI for logistics operations and supply chain optimization

Software Development San Francisco, CA 201–500 employees Privately Held

Loop builds AI systems for logistics and supply chain operations, with a tech stack spanning TypeScript, React, Node.js, PostgreSQL, Kafka, and ML frameworks (PyTorch, TensorFlow). The company is actively adopting Cursor and Codex—signals of AI-assisted development workflows—while scaling engineering-heavy hiring. Core projects center on production AI deployment, payment automation, and operational intelligence, suggesting a shift from data cleanup toward AI-driven workflows that unlock margin in physical logistics.

Tech Stack 24 technologies

AdoptingCursor Codex

What Loop Is Building

Challenges

  • Bad data and inefficient workflows
  • Modernizing back-office operations
  • Uncovering hidden value
  • Operational cost savings
  • Messy unstructured data
  • Logistics billing and payment pain points
  • Friction limiting working capital
  • Raising costs for stakeholders
  • Costs for supply chain stakeholders
  • Limits working capital

Active Projects

  • Deploy production ai
  • Build financial nervous system
  • Automate payments and audits
  • High-impact growth initiatives
  • Critical program roadmaps
  • Optimization opportunities with strategic finance
  • Client onboarding and implementation
  • Post-launch hypercare
  • Ai ops automation and intelligence systems
  • Internal roll-out of new systems and products

Hiring Activity

Accelerating10 roles · 9 in 30d

Department

Engineering
7
Support
3
Ops
1
Product
1

Seniority

Mid
5
Senior
4
Junior
3
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About Loop

Loop develops verticalized AI for logistics operations, targeting companies managing supply chain workflows. The product surfaces as a full-stack application (TypeScript/React frontend, Node.js/NestJS backend, PostgreSQL data layer) with streaming capabilities (Kafka), ML inference (PyTorch/TensorFlow), and payment integration (Salesforce). Customers operate in the physical economy—freight, warehousing, last-mile delivery—where Loop addresses fragmented billing systems, cost leakage, and working-capital friction. The company is based in San Francisco and currently spans 201–500 employees.

HeadquartersSan Francisco, CA
Company Size201–500 employees
Hiring MarketsUnited States

Frequently Asked Questions

What programming languages does Loop use?

Loop's primary stack is TypeScript, JavaScript, and Python. The backend runs Node.js with NestJS and Prisma; frontend uses React and GraphQL. ML workloads use PyTorch and TensorFlow. Infrastructure is AWS (Fargate, ECS, CDK).

What is Loop working on?

Active projects include production AI deployment, financial automation (payments and audits), supply chain optimization, and internal systems rollouts. The product roadmap emphasizes operational intelligence and post-launch implementation support for logistics customers.

How this profile is built

Loop'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.