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Elife Transfer Tech Stack

B2B infrastructure platform connecting enterprise apps to ride and delivery networks globally

Internet Marketplace Platforms Burlingame, California 201–500 employees Founded 2019 Privately Held
elifelimo.com LinkedIn

Elife Transfer operates a B2B network layer for rides and instant delivery, connecting enterprise platforms to 100+ ride suppliers and 70,000+ local fleets across 182 countries. The tech stack reveals an AI-native architecture: LangChain, LlamaIndex, and LangGraph are core to production, supported by Kafka, PostGIS, and multi-cloud deployment (AWS, GCP, Azure). Active projects cluster around LLM orchestration, low-code agent frameworks, and automating manual operational workflows—signaling a shift from API-first integration toward AI-driven fleet operations and dispatch triage.

Tech Stack 43 technologies

Core StackJava Go Docker GitLab LangChain Python MySQL AWS Kafka Scala C++ Selenium JavaScript Postman SendGrid Firecracker LlamaIndex LangGraph Apple Pay Google Pay Venmo Visa Direct UnionPay Chime GCP Azure PostGIS Google Maps API WebSockets Bash+12 more
AdoptingCursor

What Elife Transfer Is Building

◆Challenges

  • Integrating large models into core transaction engine
  • Replacing manual operations with token-based compute
  • High volume inquiries
  • Manual test generation
  • Manual code review
  • Replacing manual processes
  • Onboarding new city without sql
  • Auto-generating test cases against pricing logic
  • Global expansion
  • Operational incidents causing service disruption

▲Active Projects

  • Llm orchestration infrastructure
  • Low-code agent-building framework
  • Ai-native transaction engine integration
  • Agent architecture & pipeline design
  • Automated software delivery
  • Rag pipelines over codebases
  • Agent that triages dispatch anomalies
  • Ai qa assistant that auto-generates test cases against pricing logic
  • Workflow that lets supplier ops onboard a new city without writing sql
  • Improvement initiatives for assigned regions

Hiring Activity

Accelerating8 roles · 8 in 30d

Department

Engineering
3
Sales
2
Executive
1
Ops
1
Support
1

Seniority

Mid
2
Senior
2
VP
2
Director
1
Lead
1
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About Elife Transfer

Elife Transfer is a B2B infrastructure provider that enables enterprise platforms (super apps, delivery networks, ride-sharing platforms) to embed rides and instant delivery without building their own supplier networks. The platform abstracts complexity across 182 countries, exposing 100+ ride suppliers, 100+ delivery partners, and local payment methods (50+) through API, SDK, and white-label integration. Customers span mid-market to enterprise platforms in travel, food delivery, and logistics. The company is headquartered in Burlingame, California and employs 201–500 people. Recent hiring velocity (8 roles in 30 days) spans engineering, sales, and executive-level positions across India, Mexico, France, and Singapore, indicating geographic expansion and product acceleration.

HeadquartersBurlingame, California
Company Size201–500 employees
Founded2019
Hiring MarketsIndia, Mexico, France, Singapore

Frequently Asked Questions

What is Elife Transfer's tech stack?

Core infrastructure: Java, Go, Python, Scala, C++. Data/streaming: Kafka, MySQL, PostGIS. Cloud: AWS, GCP, Azure, Docker, Firecracker. AI/LLM: LangChain, LlamaIndex, LangGraph. Payments: Apple Pay, Google Pay, Visa Direct, UnionPay, Venmo, Chime. APIs: Google Maps, Selenium, Postman, SendGrid. Recently adopting Cursor.

What is Elife Transfer working on?

LLM orchestration infrastructure, low-code agent-building frameworks, AI-native transaction engine integration, automated dispatch triage, RAG pipelines, and workflow automation to eliminate manual SQL-based city onboarding for supplier operations.

How this profile is built

Elife Transfer'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.