Algorized Tech Stack

Edge AI foundation model for industrial safety and human-machine interaction

Software Development Campbell, California 11–50 employees Founded 2022 Privately Held

Algorized builds a people-sensing foundation model deployed at the edge—on industrial robots, factory equipment, and in-vehicle systems. The stack (Python, PyTorch, ARM, Kubernetes, AWS infrastructure) and active projects (sensor-agnostic edge deployment, ML data pipelines, real-time processing) reflect a company optimizing for inference at scale on commodity sensors. Hiring is heavily weighted toward senior engineers and ML infrastructure roles, with stated pain around scaling edge AI and real-time accuracy—typical of teams moving from prototype to production deployment.

Tech Stack 23 technologies

Core StackPython AWS SageMaker GitHub Actions GitLab CI/CD Jenkins Docker Kubernetes Terraform CloudFormation C++ PyTorch scikit-learn Linux C/C++ ARM IAM AWS ECR AWS ECS AWS EKS Bash C RTOS

AdoptingTerraform CloudFormation

What Algorized Is Building

◆Challenges

Scaling edge ai/ml
Real-time processing
Sensor-agnostic platform
Scaling rapidly
Handling large datasets
Optimizing ml algorithms
Real-time accuracy
Scalable data collection
High performance
Scaling revenue 10x

▲Active Projects

Sensor-agnostic edge computing platform
Ml infrastructure & model deployment
Platform for actionable insights
Cloud database architecture for large datasets
Ci/cd infrastructure for aws platform
Edge ai model deployment
Ml data pipeline for sensor data
Scalable data collection foundation
People sensing, positioning, or signal processing algorithms for edge and embedded systems
Channel partnership expansion

Hiring Activity

Accelerating8 roles · 6 in 30d

Department

Engineering

Data

Sales

Seniority

Senior

Lead

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About Algorized

Algorized develops a foundation model for people sensing in industrial and automotive environments. The core product ingests data from commodity sensors (cameras, thermal, radar) and outputs safety-critical insights—detecting human presence, positioning, and intent—to enable faster, safer production lines. The company targets factories and robotics OEMs who face a tradeoff between production speed and worker safety. Built in 2022, Algorized operates from Campbell, California with an early-stage, engineering-focused team scaling toward production deployments across multiple hardware and cloud platforms.

HeadquartersCampbell, California

Company Size11–50 employees

Founded2022

Hiring MarketsUnited States, Switzerland

Frequently Asked Questions

What tech stack does Algorized use?

Python, PyTorch, C/C++, ARM, Docker, Kubernetes, AWS (SageMaker, ECS, EKS), and CI/CD (GitHub Actions, GitLab, Jenkins). Actively adopting Terraform and CloudFormation for infrastructure-as-code.

What is Algorized working on?

Sensor-agnostic edge AI deployment, ML data pipelines for real-time sensor ingestion, cloud database architecture, and CI/CD infrastructure for AWS. Also expanding channel partnerships.