Overview

Here’s a secret between you and me: even the world’s largest manufacturers, companies like Tesla and Toyota, waste billions of dollars every year making products with quality issues. Building high-quality things at scale is incredibly hard. It doesn’t just happen because you hire smart people or buy good machines. It requires seeing problems early, understanding them deeply, and acting in real time, something factories were never designed to do.

At Overview.ai, we’re changing that. We build custom hardware, edge AI, and software systems that give manufacturers real visibility into how their products are actually being made. Our technology helps catch defects earlier, reduce waste, and fundamentally improve how factories operate. This work matters, not just for our customers, but for keeping American manufacturing competitive in a world that’s moving faster every year.

We build edge AI inspection systems that run directly on GPU-enabled industrial cameras and deploy on real manufacturing lines. The hard problems are end-to-end and production-grade: designing low-latency inference pipelines, deterministic triggering and buffering, on-device data capture for fast debugging, safe/atomic updates, and fleet-scale rollout across many sites. Our team spans web developers (building local configuration and monitoring UIs that run on the camera), AI/ML engineers, embedded + firmware engineers, and AI infrastructure engineers who own training pipelines, data/versioning, deployment tooling, and reliability.