echoloc

Radiansys Inc. Tech Stack

AI services and cloud engineering for enterprise digital transformation

IT Services and IT Consulting Fremont, CA 51–200 employees Founded 2007 Privately Held

Radiansys is a 51–200-person engineering services firm built around AI development, cloud infrastructure, and full-stack product work. The tech stack reveals a heavy SAP footprint (SuccessFactors, S/4HANA, ECC, FICO, APO) layered with modern languages (Python, JavaScript, Java) and orchestration tools (Kubernetes via Terraform) — a pattern typical of enterprises bridging legacy ERP systems with cloud-native AI workloads. Active hiring is concentrated in engineering (9 roles) with mid-to-senior seniority mix, and project data shows internal focus on model safety, bias detection, and evaluation frameworks, signaling both client-facing AI delivery and platform maturity concerns.

Tech Stack 90 technologies

Core StackSAP SuccessFactors SAP S/4HANA Java JavaScript Oracle ABAP SAP MM Python Jira ServiceNow PySpark Apache Spark SAP Coupa SAP Transportation Management GIS Temenos T24 JBoss Red Hat Enterprise Linux AIX SAP ECC SAP FICO SAP APO SAP PPDS SAP SD SAP PP/QM OCI Fiori SAP Master Data Governance SuccessFactors+60 more

What Radiansys Inc. Is Building

Challenges

  • Standardizing clm processes globally
  • Configuring new use cases
  • Detecting drift and bias across markets
  • Expanding evaluation coverage with synthetic data
  • Low-resource language evaluation
  • Improving model safety
  • Risk mitigation in ai projects
  • Managing cross-functional ai initiatives
  • Scaling evaluation capabilities to new languages
  • Reducing communication overhead

Active Projects

  • Responsible ai initiatives
  • Dhl instance configuration
  • Global use case deployments
  • Automated judge development
  • Synthetic data generation
  • Scalable analysis & reporting
  • Adversarial dataset creation
  • Model evaluation framework development
  • Safety language evaluation efforts
  • Portfolio visibility tracking system

Hiring Activity

Accelerating10 roles · 10 in 30d

Department

Engineering
9
Data
1

Seniority

Mid
4
Senior
4
Lead
1
Staff
1
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About Radiansys Inc.

Radiansys designs, builds, and scales AI-powered digital products and cloud infrastructure for startups through large enterprises. The firm operates with a global delivery presence, anchored in Fremont, CA, and spans three main practices: AI and generative AI (LLM solutions, RAG pipelines, AI agents, conversational AI), cloud and DevOps engineering (AWS, Azure, GCP, Kubernetes, Terraform, CI/CD), and full-stack product development (Node.js, Python, React, Next.js, Flutter, microservices). A secondary practice covers enterprise integrations with Salesforce, HubSpot, Workato, and Zapier. The organization is privately held and was founded in 2007.

HeadquartersFremont, CA
Company Size51–200 employees
Founded2007
Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does Radiansys use?

Radiansys uses SAP (SuccessFactors, S/4HANA, ECC, FICO, APO, MM, SD, PP/QM), Oracle, Java, Python, JavaScript, Kubernetes, Terraform, Jira, ServiceNow, and Apache Spark. For AI workloads, they work with GPU optimization platforms including CoreWeave and RunPod.

What is Radiansys working on?

Active projects include responsible AI initiatives, DHL instance configuration, global use case deployments, automated judge development, synthetic data generation, model evaluation frameworks, adversarial dataset creation, and low-resource language evaluation. Internal focus spans model safety, drift and bias detection, and evaluation coverage expansion.

How this profile is built

Radiansys Inc.'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.