Network planning has traditionally required weeks of manual work: collecting site data, modeling environments, sizing hardware, and iterating on designs before a single access point is installed. At Tech Field Day, eino founder and CEO Payman Samadi presented a live demonstration of how eino is changing that.
The presentation covered how eino's AI-powered platform automates the core steps of wireless network design:
- Automatic 3D environment modeling — upload photos or floor plans and eino generates an accurate digital twin of the space, including physical obstructions like machinery, shelving, and structural elements
- Demand simulation — the platform models user density, device types, and application requirements across different zones of a facility
- AI-driven access point placement — eino recommends optimal AP locations, mounting heights, and antenna orientations based on the modeled environment and traffic requirements
- Multi-technology support — Wi-Fi, private 5G, CBRS, and LoRa can all be designed and simulated within a single workflow
The result is a repeatable, scalable design process that compresses weeks of engineering work into hours — and makes it possible for smaller teams to take on more complex projects without sacrificing accuracy.
Watch the full Tech Field Day presentation on YouTube
