Atriva simplifies edge AI video analytics with production-ready containers, multi-camera pipelines, and real-time intelligence.
Building Edge AI apps is complicated—requiring hardware tuning, optimization, deployment pipelines, and expertise across multiple domains. Atriva makes it simple. We provide ready-to-use containers, pre-optimized for your hardware, so you can skip the painful integration work. From setup to scaling, we streamline the entire stack—so you can move faster, cut complexity, and focus on creating impactful solutions.
Six core advantages that make building and scaling Edge AI faster, easier, and more reliable.
Build once, deploy anywhere — our modular setup ensures long-term reusability across multiple edge AI projects.
Pre-configured Docker containers let you get AI apps running on edge devices in minutes, not weeks
Save on engineering and cloud costs with optimized hardware integration and efficient workflows.
Most of Atriva’s source code is open source — giving developers transparency, flexibility, and the freedom to customize without vendor lock-in.
Simple APIs, clear docs, and prebuilt SDKs make it easy to go from prototype to production.
Run on any AI accelerator — GPUs, NPUs, SoCs — without being locked into a single vendor.
Atriva integrates seamlessly with popular frameworks, hardware, and AI runtimes. You bring your stack — we make it work together.
Join our community, explore the code, and help us shape the future of Edge AI.
