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Twixor Tech Stack

Conversational AI platform for omnichannel customer engagement and process automation

Information Technology & Services Singapore, Singapore 51–200 employees Founded 2013 Privately Held

Twixor operates a conversational AI platform deployed across WhatsApp, Facebook Messenger, Google Business Messenger, and voice channels to handle marketing, transactions, and support workflows. The stack—Dialogflow, Rasa, Bot Framework, Kafka, Kubernetes—reflects a mature conversational AI system designed for high-volume, multi-channel load. Engineering dominance (87 of 106 active roles) paired with pain points around scalable backends and channel integration suggests the company is actively scaling infrastructure to handle growing conversation volume and partner ecosystem complexity.

Tech Stack 59 technologies

Core StackJavaScript Java MySQL MongoDB Python Redis Kafka Kubernetes Docker Jenkins Ansible Terraform Linux GitHub RAG AWS Spring Boot Dialogflow Bot Framework REST API Asterisk FreePBX SIP Git Rasa WhatsApp Facebook Messenger Azure Bash Ubuntu+28 more

What Twixor Is Building

◆Challenges

Performance bottlenecks within virtualization platforms
Scalable backend systems
Network connectivity problems
Seamless data exchange
Integrating solutions across partner environments
Expanding channel reach
High-volume data storage
Integrating multiple messaging channels
Scalable backend performance
Modernizing legacy systems

▲Active Projects

Digital process automation across messaging channels
Digital customer engagement platform
Digital customer journeys over multiple messaging channels
Hyper-personalization and seamless business transactions across multiple messaging channels
Digital process automation solutions
Restful api integrations
Conversational ai initiatives
Hyper-personalized digital journeys
Go-to-market strategy for new product launches
Content strategy for thought leadership

Hiring Activity

Minimal110 roles · 15 in 30d

Department

Engineering

87

Finance

3

Support

3

Data

2

Marketing

2

Design

1

HR

1

Ops

1

Seniority

Mid

55

Junior

27

Senior

19

Lead

1

Notable leadership hires: Tech Lead, Technical Lead, Tech Lead Full Stack Developer, Technical Lead Full Stack

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About Twixor

Twixor builds a cloud-native conversational AI platform for enterprise customer experience across omnichannel messaging and voice. The product suite includes a journey builder, NLP-powered digital assistant, campaign manager, and integrations across WhatsApp, Facebook Messenger, Google Business Messenger, and traditional voice/IVR. The company serves 600+ clients across APAC, the Middle East, and beyond, spanning BFSI, retail, healthcare, and other verticals, processing 10 billion conversations annually. Twixor is headquartered in Singapore with delivery teams in Chennai and Bangalore, and operates as a privately held firm since 2013.

HeadquartersSingapore, Singapore

Company Size51–200 employees

Founded2013

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Twixor use?

Twixor uses Dialogflow, Rasa, and Bot Framework for NLP and conversational AI; Kafka and Redis for message streaming; Kubernetes and Docker for orchestration; Spring Boot and Java for backend services; MySQL and MongoDB for data persistence; and AWS/Azure for cloud infrastructure.

What messaging channels does Twixor support?

Twixor supports WhatsApp, Facebook Messenger, Instagram Messenger, Google Business Messenger, and traditional voice/IVR channels. The platform is designed for omnichannel journey orchestration across these mediums.