RagaAI Inc Tech Stack

AI testing and observability platform for enterprise model validation

Software Development San Francisco Bay Area, California 51–200 employees Privately Held

RagaAI builds an end-to-end testing and observability platform for AI models, targeting enterprises that currently rely on ad-hoc evaluation methods. The tech stack—Kubernetes, Kafka, Kubeflow, Prometheus, Grafana, and multi-cloud infrastructure (AWS, Azure, GCP)—reveals a production-grade platform designed for monitoring and scaling GenAI workloads at enterprise scale. Active projects around GenAI evaluation, real-time observability, and micro-frontend architecture, combined with hiring friction around data labeling and dataset quality, suggest the core challenge is bridging the gap between model development and reliable post-deployment performance.

Tech Stack 29 technologies

Core StackKubernetes AWS Elasticsearch Prometheus Grafana Redis Kafka MySQL PostgreSQL Kubeflow Jira Figma React TypeScript Redux Vercel Netlify Excel Google Sheets Azure GCP Knative KEDA Microsoft Office Google Workspace Notion Zustand Service Workers Firebase Authentication

What RagaAI Inc Is Building

◆Challenges

Maintaining data integrity across multiple systems
Data labeling and tagging
Clean raw datasets
Deploying products at scale
Scaling multiple applications
Operational bottlenecks

▲Active Projects

Genai evaluation and observability platform
Scalable frontend architecture
Real-time chat integration
Micro-frontend implementation
Internal dashboards and reports
0→1 process development
Product launches and go-to-market activities

Hiring Activity

Accelerating5 roles · 3 in 30d

Department

Engineering

Data

Executive

Product

Seniority

Mid

Intern

Junior

Senior

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About RagaAI Inc

RagaAI addresses the risk-mitigation gap in enterprise AI development. Most organizations today test models through ad-hoc methods, which increases development time, leaves vulnerabilities undetected, and leads to poor post-deployment performance. RagaAI's platform provides structured testing, evaluation, and observability across the AI development lifecycle—from training through production monitoring. The company operates at the intersection of DevOps tooling and AI infrastructure, serving mid-market to enterprise engineering and data teams. With 51–200 employees based in the San Francisco Bay Area and growing hiring velocity across the US and India, the organization is actively scaling engineering and product functions.

HeadquartersSan Francisco Bay Area, California

Company Size51–200 employees

Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does RagaAI use?

RagaAI runs on Kubernetes, AWS/Azure/GCP, Kafka, Kubeflow, Prometheus, Grafana, PostgreSQL, Elasticsearch, and Redis—with React/TypeScript frontend and Vercel/Netlify hosting. The stack indicates enterprise-grade orchestration and observability.

What is RagaAI working on?

Active projects include a GenAI evaluation and observability platform, scalable frontend architecture, real-time chat integration, micro-frontend implementation, and internal dashboards—alongside 0→1 product development and go-to-market initiatives.