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Netomi Tech Stack

Enterprise AI agent platform for customer service at scale

Software Development San Mateo, California 201–500 employees Founded 2016 Privately Held
netomi.com LinkedIn

Netomi operates an agentic CX platform deployed across chat, email, and voice channels for global enterprises. The stack reveals a mature, containerized infrastructure (Kubernetes, Istio, Helm, ArgoCD) running on multi-cloud (AWS, GCP, Azure), backed by polyglot services (Python, Go, Java, Ruby) and event-driven data (Kafka, RabbitMQ, Elasticsearch). Pain points cluster around scaling (test automation, data pipeline infrastructure, platform reliability) and model quality — matching an org visibly scaling: engineering-forward hiring (17 roles), leadership gaps in revenue ops and people functions, and active work on prompt orchestration and agentic workflow templates.

Tech Stack 91 technologies

Core StackKubernetes Helm Istio Jenkins ArgoCD Terraform AWS Python Ruby Go Java Selenium JUnit Maven MySQL PostgreSQL Elasticsearch MongoDB DynamoDB Kafka RabbitMQ Linkerd Spinnaker AWS ECS GCP Azure TestNG Rest Assured JMeter Spring Boot+58 more
AdoptingBDD

What Netomi Is Building

◆Challenges

  • Scaling test automation
  • Improving model accuracy
  • Improving qa process
  • Technical blockers
  • Ensuring platform reliability
  • Maintaining product quality
  • Complex business processes
  • Integration dependencies
  • Scalable infrastructure for data-heavy applications
  • Efficient data ingestion and storage

▲Active Projects

  • Ai based conversational products
  • Prompt orchestration chain optimization
  • Agentic workflow development
  • Scalable automated testing frameworks
  • Reference architecture templates
  • Integration design documentation
  • Reusable workflow templates
  • Scalable data pipeline infrastructure
  • Ml model integration into production
  • Ai deployment and expansion roadmap

Hiring Activity

Accelerating35 roles · 25 in 30d

Department

Engineering
17
Sales
4
Product
3
Support
3
Data
2
Finance
2
HR
2
Legal
1

Seniority

Senior
11
Mid
8
Junior
7
Director
3
Lead
2
Manager
2
Principal
1
VP
1

Notable leadership hires: Head of Accounting, Revenue Operations Director, Head of People

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About Netomi

Netomi builds an agentic customer experience platform for enterprise brands managing high-volume, multi-channel support. The product handles conversations across chat, email, and voice, powered by generative AI and workflow orchestration. Founded in 2016 and based in San Mateo, the company operates at 201–500 employees across the United States, Canada, and India. The platform is designed for organizations with complex customer interaction patterns — airlines, hospitality, financial services, and e-commerce — where deterministic routing and traditional chatbots fall short. Netomi's infrastructure is built for scale: multi-cloud deployment, containerized services, and event-streaming data pipelines underpin the ability to handle millions of concurrent conversations.

HeadquartersSan Mateo, California
Company Size201–500 employees
Founded2016
Hiring MarketsIndia, Canada, United States

Frequently Asked Questions

What tech stack does Netomi use?

Netomi runs on Kubernetes, Helm, and Istio for orchestration; AWS, GCP, and Azure for compute; and Python, Go, Java, and Ruby for services. Data flows through Kafka, RabbitMQ, and Elasticsearch; persistence uses PostgreSQL, MySQL, and DynamoDB. CI/CD is handled by Jenkins, ArgoCD, and Spinnaker.

What is Netomi working on?

Active projects include prompt orchestration chain optimization, agentic workflow development, scalable automated testing frameworks, and ML model integration into production. The roadmap also covers AI deployment expansion and scalable data pipeline infrastructure.

How this profile is built

Netomi'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.