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.
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.
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).
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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