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Claryo, Inc. Tech Stack

Spatial AI for warehouse automation and real-time perception

Software Development San Francisco, CA 11–50 employees Privately Held

Claryo builds a spatial generative AI platform for warehouse operations, with a tech stack optimized for video processing and low-latency inference at scale. The stack—Python, PyTorch, TensorFlow, DeepSpeed, TorchServe, Kafka, gRPC, Kubernetes on GCP—reflects deep ML infrastructure work. Active hiring is confined to senior and staff engineers, signaling they're scaling a technically complex product rather than expanding headcount broadly.

What Claryo, Inc. Is Building

Challenges

  • Scaling core video platform
  • Improving developer productivity
  • Scaling a deeply technical product
  • Scaling infrastructure for ai warehouse platform
  • Low-latency inference at scale

Active Projects

  • Core video platform development
  • Video ingestion and streaming system
  • Video pipeline
  • Ai-driven warehouse intelligence platform infrastructure
  • Real-time perception and autonomous decision-making capabilities
  • Scalable gpu compute clusters

Hiring Activity

Decelerating5 roles · 1 in 30d

Department

Engineering
5

Seniority

Senior
4
Staff
1
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About Claryo, Inc.

Claryo provides a turnkey AI platform for warehouse automation, centered on spatial generative AI and real-time perception capabilities. The product processes video streams from warehouse environments (core stack: video ingestion via RTSP/WebRTC, orchestrated through Kafka and gRPC pipelines) and runs inference models (PyTorch, TensorFlow, TorchServe) to enable autonomous decision-making. Active development focuses on scaling the video platform, building GPU compute infrastructure, and reducing latency in perception-to-action loops. The company operates at 11–50 employees, based in San Francisco.

HeadquartersSan Francisco, CA
Company Size11–50 employees
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Claryo use?

Python, C++, TypeScript, React, PyTorch, TensorFlow, Kafka, gRPC, PostgreSQL, TimescaleDB, Kubernetes, GCP, Terraform, and ROS 2. Emphasis on GPU-accelerated inference (TorchServe, DeepSpeed) and video streaming (RTSP, WebRTC).

What is Claryo working on?

Core projects include video ingestion and streaming systems, real-time perception and autonomous decision-making, scalable GPU compute clusters, and infrastructure for an AI-driven warehouse intelligence platform.

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