RadiusAI Tech Stack

Computer vision analytics for retail operations and loss prevention

Software Development Tempe, Arizona 51–200 employees Founded 2017 Privately Held

RadiusAI builds computer vision systems for retail enterprises, with a tech stack spanning PyTorch, Python, OpenCV, and cloud infrastructure (AWS, GCP, Azure). The company is actively scaling vision model deployment across remote locations while optimizing data warehouses and ETL pipelines—engineering and data teams are the primary hiring focus. Current work emphasizes object detection, tracking, segmentation, and OCR, pointing toward end-to-end operational visibility rather than point solutions.

Tech Stack 51 technologies

Core StackPyTorch Python NumPy scikit-learn AWS Docker Kubernetes Power BI Tableau Looker dbt Apache Airflow Prefect Snowflake Redshift BigQuery Databricks Terraform CloudFormation Ansible GitLab CI/CD Puppet OpenCV GCP Azure SQL Kestra Git Bash Chef+18 more

AdoptingDocker Kubernetes

What RadiusAI Is Building

◆Challenges

Replacing traditional barcodes
Enhancing data warehouse performance
Ensuring data quality and governance

▲Active Projects

Advanced computer vision models for object detection, tracking, segmentation, ocr, scene understanding, and 3d vision
Integrate vision models into applications
Internal ip generation (patents, publications)
Scalable bi solutions
Etl pipeline optimization
Data warehouse enhancement
Computer vision software rollout at remote locations
Infra and patching for data science teams

Hiring Activity

Minimal5 roles · 0 in 30d

Department

Data

Engineering

Seniority

Senior

Lead

Principal

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About RadiusAI

RadiusAI develops computer vision analytics for retail operations, helping enterprise customers optimize checkout processes, inventory management, and loss prevention through real-time edge-deployed AI. Founded in 2017 and headquartered in Tempe, Arizona, the company serves mid-market and enterprise retail operators. The platform combines advanced vision models (object detection, tracking, scene understanding, 3D vision) with scalable data infrastructure (Snowflake, BigQuery, Databricks, dbt, Airflow) to ingest and analyze operational data at scale. Active projects include vision model integration into applications, remote-location rollout, and data warehouse enhancement to support growing analytical demand.

HeadquartersTempe, Arizona

Company Size51–200 employees

Founded2017

Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does RadiusAI use?

RadiusAI uses PyTorch, Python, OpenCV, and scikit-learn for vision models; AWS, GCP, and Azure for cloud; Kubernetes and Docker for containerization; Snowflake, Redshift, and BigQuery for data warehouses; and dbt, Airflow, Kestra, and Prefect for ETL and orchestration.

Is RadiusAI hiring engineers and data teams?

RadiusAI has active hiring in engineering and data roles across the United States and India, with focus on senior and lead-level positions, though posting velocity is minimal.

What is RadiusAI working on?

RadiusAI is developing advanced computer vision models for object detection, tracking, segmentation, and OCR; integrating vision models into applications; deploying solutions at remote retail locations; and optimizing data warehouses and ETL pipelines for operational analytics.