echoloc

Kayana | Ordering & Payment Solutions Tech Stack

Restaurant ordering and payment platform with POS and delivery integration

Technology, Information and Internet London 51–200 employees Founded 2021 Privately Held

Kayana builds an all-in-one ordering and payment system for restaurants, combining POS, online ordering, and delivery logistics. The tech stack spans Java/Spring on backend, native iOS/Android clients (Swift, Kotlin, Jetpack Compose), and multi-provider payment rails (Razorpay, Paytm, Stripe, PayU). Active hiring across engineering, compliance, and operations—with compliance and onboarding automation dominating the project backlog—suggests the company is scaling regulatory rigor as it expands internationally across UAE, UK, and India.

Tech Stack 62 technologies

Core StackJava AWS MySQL PostgreSQL RabbitMQ Docker Kubernetes Swift Stripe Kotlin Jetpack Compose Flutter Firebase PHP Laravel Spring Framework Spring Boot Objective-C UIKit Core Data Alamofire URLSession Razorpay Paytm PayU OAuth Android SDK Retrofit Glide Symfony+25 more

What Kayana | Ordering & Payment Solutions Is Building

Challenges

  • Service level and response time maintenance
  • Global expansion support
  • Expanding sales pipeline
  • Maximizing efficiency and profitability
  • Fleet utilization optimization
  • Sales growth and customer acquisition
  • Competing with larger enterprises
  • Ensuring aml/kci compliance
  • Maintaining robust compliance processes
  • Identifying process gaps

Active Projects

  • Compliance framework setup
  • Promotional campaign coordination
  • Business growth plan execution
  • Automation and system enhancements for onboarding and compliance tracking
  • Implementing compliance policies, frameworks, and sops
  • Onboarding and implementation process
  • Installation scheduling and deployment
  • Payment system integration
  • Ordering and payment platform qa initiatives
  • Ci/cd pipeline integration

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering
5
Support
3
Ops
2
Sales
2
Compliance
1

Seniority

Mid
7
Junior
3
Senior
2
Lead
1
Company intelligence

Find more companies like Kayana | Ordering & Payment Solutions by tech stack, pain points and active projects

Get started free

About Kayana | Ordering & Payment Solutions

Kayana provides a hosted platform serving restaurant operators across ordering channels (dine-in, takeaway, delivery, self-service) and payment processing. The product is integrated with kitchen operations and delivery logistics to reduce staffing friction and queue times during peak service. Founded in 2021 and based in London, the company operates as a private firm with 51–200 employees, offering plug-and-play and fully managed deployment options. The specialization in restaurant and food-service verticals, combined with heavy emphasis on compliance automation and multi-region operational support, positions Kayana as a vertical-specific alternative to generic POS and delivery platforms.

HeadquartersLondon
Company Size51–200 employees
Founded2021
Hiring MarketsUnited Arab Emirates, United Kingdom, India

Frequently Asked Questions

What tech stack does Kayana use?

Backend: Java, Spring Framework, Spring Boot, AWS, MySQL, PostgreSQL, RabbitMQ, Docker, Kubernetes. Mobile: Swift/Objective-C (iOS), Kotlin/Jetpack Compose (Android). Payments: Razorpay, Paytm, Stripe, PayU. Also uses Firebase, Laravel, Symfony, and OAuth.

Where is Kayana headquartered?

Kayana is headquartered in London, United Kingdom. The company hires across UK, UAE, and India.

Similar Companies in Technology, Information and Internet

Other companies in the same industry, closest in size

How this profile is built

Kayana | Ordering & Payment Solutions'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.