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Voxel Tech Stack

Computer vision platform for workplace safety and operations at industrial sites

Software Development San Francisco, California 51–200 employees Founded 2020 Privately Held
voxelai.com LinkedIn

Voxel builds a camera-based safety platform for industrial operations using PyTorch, TensorFlow, and Kafka to process petabyte-scale video streams. The stack reveals a company in heavy ML-to-production mode: they're adopting Weights & Biases and MLflow (experiment tracking), running distributed inference at scale (TensorRT, ONNX, on-device models), and orchestrating multi-site deployments via Kubernetes and Flink. Hiring skews senior (4 of 7 roles) and engineering-heavy (5 of 7), signaling they're scaling data pipelines and inference infrastructure rather than sales breadth.

Tech Stack 35 technologies

Core StackSalesforce PyTorch TensorFlow Cursor Python AWS Terraform Kubernetes AWS RDS Grafana Prometheus CloudWatch Apache Flink Kafka React Native Docker Go Java C++ Replit TensorRT ONNX AWS EKS IAM Kinesis Azure GCP AWS ECS Bazel SD-WAN+1 more
AdoptingWeights & Biases MLflow ClearML

What Voxel Is Building

◆Challenges

  • Reducing workers’ compensation costs
  • Improving equipment utilization
  • Workflow compliance
  • Workers compensation costs
  • Reducing liability costs
  • Legacy data integration
  • Process efficiency
  • Scaling training infrastructure for experiments
  • Future-proofing on-device inference

▲Active Projects

  • Net-new revenue growth across large enterprise accounts
  • Continuous time & motion studies system
  • Productized insights platform
  • Petabyte-scale camera data pipelines
  • Automated data collection methods
  • Data quality improvement processes
  • Vision and ml capabilities
  • Deployment across many sites
  • Fast iteration loops
  • Train-to-deploy handoff

Hiring Activity

Accelerating7 roles · 7 in 30d

Department

Engineering
5
Product
1
Sales
1

Seniority

Senior
4
Mid
2
Staff
1
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About Voxel

Voxel operates a site intelligence platform that uses computer vision to detect and prevent workplace injuries and safety risks at industrial and manufacturing sites. The product targets safety and operations leaders at Fortune 500 companies across grocers, retailers, manufacturers, food and beverage warehousers, and logistics providers. The company ingests continuous camera feeds from multiple facilities, runs ML inference pipelines to surface actionable insights, and helps customers reduce workers' compensation costs and liability exposure. Founded in 2020 and based in San Francisco, Voxel operates with a globally distributed team.

HeadquartersSan Francisco, California
Company Size51–200 employees
Founded2020
Hiring MarketsUnited States

Frequently Asked Questions

What is Voxel's tech stack?

Voxel uses PyTorch and TensorFlow for model training, TensorRT and ONNX for inference optimization, Kafka and Apache Flink for streaming data pipelines, Kubernetes and AWS EKS for deployment, and Salesforce for sales operations. They're adopting Weights & Biases and MLflow for experiment tracking.

What is Voxel working on?

Active projects include petabyte-scale camera data pipelines, continuous time-and-motion studies, automated data collection methods, productized insights platforms, and on-device inference optimization for multi-site deployments.

How this profile is built

Voxel'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.