AI Networking Upstart Eino Adds Network Observability to Its Wireless Design Play

The company says the offering cuts network design and troubleshooting time by up to 90 percent and gives channel partners new opportunities for managed services.

Eino, a networking player that specializes in AI-native wireless network design, is expanding into network monitoring and observability, the company told CRN.

The startup Tuesday introduced what it calls Agentic Network Observability, a new approach aimed at enterprises running complex, multi-technology networks. The technology builds a 3-D digital twin of the physical environment to provide real-time visibility across wireless networks, whether they’re deployed alone or in combination, according to the company.

The offering gives enterprises, service providers and channel partners the tools they need to design, observe and troubleshoot AI-native networks in 90 percent less time compared with existing offerings, said Payman Samadi, the company’s CEO.

Samadi said he and his team saw some gaps in the monitoring and observability space, thus prompting the need for the new addition.

“There are all sorts of monitoring platforms in the market that are focused on some sort of telemetry data, either coming from the network or coming from probes, but they have no information about the physical space around it and predictive performance based on the original design, so [that] was a very easy addition to our platform. Second, we saw that the majority of these kinds of tools are not AI-native in the sense that they had a tool and tried to kind of stick AI to it,” he said.

Eino’s Agentic Network Observability’s digital twin continuously monitors the network through data-collecting probes, with AI defining what “good” performance looks like based on the network’s intended use, Samadi said. The company plans to integrate asset management and cybersecurity features in the future.

The offering will help channel partners, who have built networks for many years for their clients, streamline their Network Operations Center and add new managed services to their repertoires, he added.

Eino’s technology can help solution providers stand out as they move beyond traditional Wi-Fi planning thanks to increasing demand for private 5G and LTE for use cases Wi-Fi can’t easily support, such as some “cluttered” outdoor and complex enterprise environments, said Dan Shaffer, senior director of service delivery for Dallas-based solution provider giant and Eino partner General Datatech (GDT).

Eino’s technology is helping Shaffer and his team more accurately model real-world conditions, including building layouts, terrain and vegetation, using built-in clutter data in a 3-D view overlaid on Google Earth. That accuracy, he said, prevents overpromising coverage and reduces costly redesigns caused by missed obstructions discovered late in deployments.

“One of the things I really like about Eino is that it has built-in clutter data. Not a lot of tools have that today. When I’m doing presentations for a client, I can make really fast and quick adjustments on the modeling if, for whatever reason, that clutter data is a little off, because obviously Google isn’t perfect [and] I can really show the power of private 5G for our clients,” he said.

While Shaffer has only begun exploring Eino’s new Agentic Network Observability capabilities, he said AI-driven insight that flags issues and speed adjustments could further reduce design and troubleshooting time.

“The more we get into AI, the more we can have AI gather data for us and pinpoint issues,” he said. “I think that’s going to be very powerful and I can’t wait to see the features that they have, but if they can do that, then I can identify things quicker. I can make adjustments on designs quicker, and I can make sure that what we’re going to deploy is going to meet our customer needs.”

Agentic Network Observability from Eino is available now to enterprises and through channel partners.

Brooklyn, N.Y.-based Eino nearly two years ago launched its wireless network design platform and since then has scaled rapidly to support more than 40 major customers, as well as global systems integrators and OEMs, including private cellular specialist Celona, the company said.

Eino’s AI-native network design offering has been used in more than 5,000 network designs and deployed in more than 1,500 production networks across critical environments such as airports, refineries, maritime ports and high-tech manufacturing facilities, according to the company.

Eino during its latest funding round garnered $4 million in a pre-seed round in February 2025, according to Crunchbase.