Digi's New AI 'DANI' Embeds Intelligence at the Core of Network Operations

MINNEAPOLIS, MN – June 30, 2026

Digi International today pulled back the curtain on a project that aims to fundamentally rewire how enterprises manage their sprawling, critical networks. The company launched DANI, the Digi Artificial Network Intelligence agent, an AI tool with a crucial distinction: it isn’t a dashboard or a bolt-on application. It is a purpose-built intelligence natively embedded directly within the company's Digi Remote Manager (DRM) platform.

For anyone operating in the engine rooms of modern industry, this announcement lands with significant weight. As organizations connect more assets across distributed environments—from remote industrial sensors to city-wide transportation fleets—the complexity of ensuring uptime and performance has grown exponentially. The cost of failure is staggering, with reports from firms like ABB noting that unplanned downtime can cost industrial companies upwards of $125,000 per hour. DANI represents Digi's answer to this challenge, shifting the paradigm from reacting to problems to proactively preventing them.

From Reactive Alerts to Proactive Intelligence

The daily reality for many network operators and managed service providers (MSPs) is a high-stakes game of whack-a-mole. They are inundated with alerts, forced to manually parse dense log files, and piece together fragmented data from disparate systems to diagnose a single issue. This reactive workflow is not only time-consuming but also prone to human error, leaving critical infrastructure vulnerable.

DANI is designed to cut through this operational noise. By embedding a conversational AI directly at the point of action, it allows operators to interact with their network in plain English. Instead of hunting through logs to understand why a cellular router is underperforming, an operator can simply ask, “DANI, why is the device in location X experiencing poor signal quality?” The agent can then analyze real-time telemetry, compare configurations, and surface a root cause with recommended actions in minutes, not hours.

This marks a foundational change in network management. As Tony Puopolo, President of Digi Managed Solutions, explained, “AI is reshaping how critical infrastructure is managed, and the next phase of networking will be defined by systems that can interpret, decide and even act in real time, if given explicit permissions.”

By providing clear, actionable guidance, DANI promises to dramatically reduce the mean time to resolution. For an MSP managing a fleet of 500 devices for multiple clients, this could transform their entire service model, enabling them to scale their operations without a proportional increase in headcount. The goal is to move beyond mere visibility and empower operators with an intelligent assistant that understands the context of their specific environment.

The Power of Native Integration

The most critical aspect of DANI is its architecture. Unlike third-party AI tools layered on top of a management system, DANI operates from within the same platform that manages the devices themselves. This native integration is enabled by the Model Context Protocol (MCP), an open standard that governs how AI systems securely access and interact with operational platforms.

Through this protocol, DANI gains direct, governed access to a rich stream of contextual data that external tools can't replicate: real-time device telemetry, cellular signal history, firmware states, and detailed configuration histories. This eliminates the security risks and latency associated with moving massive datasets to an external AI for analysis. There are no additional credentials to manage and no gap between insight and action. The result is faster, more accurate diagnostics grounded in the live reality of the network.

Significantly, Digi has embraced an open philosophy. The use of MCP means organizations are not locked into a proprietary AI. They can connect their preferred large language models—whether from OpenAI, Anthropic, or Google—to the Digi MCP Server. This “your AI, your choice” approach provides a future-proof foundation, allowing customers to leverage their existing AI investments and adapt as models evolve. It's a strategic move that distinguishes DANI in a market that often trends toward closed ecosystems.

A Strategic Play in a Crowded Field

The launch of DANI is not an isolated event but the culmination of a multi-year platform evolution. Over the past year, Digi has laid the groundwork with foundational capabilities that make AI-driven operations possible at scale. Technologies like Digi eSIM, which provides flexible, programmable connectivity, and Digi Remote Reach, which offers secure out-of-band access for remediation, form the operational backbone on which DANI’s intelligence runs.

This positions the company to compete effectively in the burgeoning AIOps market, an industry segment estimated to be worth between $16 billion and $28 billion. While competitors like Cisco, Cradlepoint, and HPE Aruba are also heavily investing in AI for network management, Digi's focus on native embedding and an open protocol for the cellular-first, distributed enterprise market carves out a distinct niche.

The long-term vision extends far beyond conversational diagnostics. While the initial release grants DANI read-only access to query and interpret network data, the roadmap includes an in-app agent with expanded capabilities, including write operations. This paves the way for true network autonomy, where DANI could be granted permissions to automatically execute routine management tasks, apply configuration fixes, or manage firmware updates based on its analysis, further reducing manual workload.

What This Means for the Engine Room

As someone whose daily focus is on orchestrating resources and shielding experts from administrative noise, I see DANI as a powerful force multiplier. It embodies the principle of empowering skilled operators by automating the mundane. For too long, the most experienced IT and OT professionals have been bogged down in low-level troubleshooting. Tools like DANI promise to free them up to focus on strategic initiatives like network optimization, security posture, and scaling infrastructure.

For MSPs, the multi-tenant support is a game-changer, allowing them to offer a higher level of proactive service across their entire client base. For industrial enterprises, it offers a path to greater reliability and efficiency in environments where every minute of uptime counts.

Ultimately, DANI represents a shift from AI talking about the network to AI talking to the network. By embedding intelligence directly into the operational fabric, Digi is providing the context, scale, and real-time insight needed to manage the next generation of critical infrastructure.