Reltio Tech Stack

AI-ready master data platform unifying enterprise data in real time

Software Development Redwood Shores, CA 201–500 employees Founded 2011 Privately Held

Reltio operates a cloud-native SaaS platform for harmonizing and enriching data across enterprise systems, now pivoting toward AI agents through heavy adoption of LLMs (OpenAI, Mistral, LLaMA, Google Gemini) and embedding RAG patterns into core workflows. The engineering-heavy hiring mix—concentrated in backend and AI integration—paired with active projects around 'Reltio Brain' and responsible LLM patterns suggests the company is repositioning from traditional master data management toward AI-native context layers.

Tech Stack 57 technologies

Core StackSAP AWS Java Python Apache Spark PyTorch TensorFlow MLflow RAG Salesforce Okta Jira Confluence Slack Monday.com Cursor C++ JavaScript Kubernetes Grafana Prometheus Jenkins Snowflake BigQuery Azure GCP Reltio Data Cloud MLlib Jira Service Management Codex+25 more

AdoptingOpenAI Mistral LLaMA Google Gemini Model Context Protocol

What Reltio Is Building

◆Challenges

Siloed data
Customer adoption
Protecting customer data
Entity resolution
Complex technical issues for high-value customers
Retention risk
Compliance with security standards
Record linking
De-risking the roadmap
Data integration challenges

▲Active Projects

Ai integration
Mdm platform core development
Reltio brain
Key initiatives of the devops/release team
Contract workflow optimization
North-star architecture for multi-tenant saas data platform
High-volume streaming low-latency query designs
Embedding responsible llm patterns
Solution messaging
Product launches and integrated campaigns

Hiring Activity

Accelerating40 roles · 25 in 30d

Department

Engineering

Sales

Support

Security

Marketing

Data

Seniority

Senior

Mid

Staff

Intern

Manager

Principal

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About Reltio

Reltio builds a cloud-native platform for master data management and context intelligence, sold to large enterprises in life sciences, financial services, healthcare, and technology. The platform unifies data across sources and formats—including unstructured data—and surfaces 360-degree entity views in milliseconds to downstream applications, users, and AI agents. Core infrastructure runs on AWS, Azure, and GCP; the stack includes Kafka-like streaming, Spark-based transformation, and embedding layers (PyTorch, TensorFlow). The company operates across United States, Portugal, and India hiring centers with an accelerating velocity.

HeadquartersRedwood Shores, CA

Company Size201–500 employees

Founded2011

Hiring MarketsUnited States, Portugal, India

Frequently Asked Questions

What tech stack does Reltio use?

Reltio uses Java, Python, Apache Spark, PyTorch, TensorFlow, and RAG frameworks on AWS, Azure, and GCP infrastructure. Operational tooling includes Kubernetes, Grafana, Prometheus, and Jenkins. The company is actively adopting OpenAI, Mistral, LLaMA, and Google Gemini.

What is Reltio working on?

Active projects include AI integration, MDM platform core development, 'Reltio Brain' (an LLM-powered feature), high-volume streaming low-latency query design, and responsible LLM embedding patterns. The company is also scaling its north-star multi-tenant SaaS data platform architecture.

How this profile is built

Reltio'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.