Industrial IoT & AI-Powered Discovery

Digi International Unveils the One Digi AI Discovery Engine — A Natural Language Interface That Unifies Digi, Opengear, Particle, and SmartSense Into a Single Intelligent Gateway for B2B Solution Discovery

Powered by a custom-tuned LLM, the One Digi AI Discovery Engine replaces static navigation with intent-driven, cross-divisional search — delivering curated solutions, technical documentation, datasheets, configuration steps, and code snippets in seconds, directly from the Digi homepage, for engineers, IT directors, and operations managers navigating one of industrial IoT's most complex product portfolios.

4 min read


Digi International (Nasdaq: DGII), a global technology leader empowering enterprises to build, connect, and manage critical systems, has announced the launch of the One Digi AI Discovery Engine — a natural language powered interface now live as the primary gateway on the Digi homepage. The engine unifies the company's four core divisions — Digi, Opengear, Particle, and SmartSense — into a single search experience that delivers relevant solutions, documentation, and guidance in seconds. For technical buyers navigating one of the industrial IoT sector's broadest and most complex product portfolios, the launch represents a fundamental shift in how discovery works: from static site menus and fragmented navigation to intent-driven, conversational interaction powered by a custom-tuned large language model.

"The complexity of the industrial IoT landscape requires a move away from static menus and toward instant, intelligent answers. By unifying Digi, Opengear, Particle, and SmartSense under the One Digi AI framework, we are providing our customers with a single 'brain' to navigate everything from resilient critical infrastructure and continuous compliance monitoring to industrial edge intelligence and operational health and safety solutions."
— Ron Konezny, President and CEO, Digi International

The Problem It Solves — Eliminating the Friction of Manual Site Mapping for Complex B2B Portfolios

The challenge the One Digi AI Discovery Engine addresses is specific and well-understood by anyone who has navigated a large, multi-brand enterprise technology portfolio: the gap between what a buyer needs and what traditional website navigation can surface efficiently. For Digi International, that challenge is amplified by the breadth of the portfolio. The four divisions — resilient network infrastructure under Opengear, embedded IoT connectivity under Particle, temperature and environmental monitoring under SmartSense, and Digi's own edge and connectivity solutions — serve overlapping but distinct buyer personas, speak to different operational pain points, and are documented across thousands of pages of technical content including datasheets, white papers, configuration guides, and integration documentation.

A traditional navigation structure forces buyers to already know which division or product category is relevant before they can find what they need. The One Digi AI Discovery Engine inverts this: buyers describe their operational requirement in natural language — for example, "I need a remote monitoring solution for a pharmacy with temperature-sensitive assets" — and the engine returns a curated response drawing on the full portfolio, routing the query to the most relevant capabilities across divisions, with direct links to web pages, datasheets, technical documents, and more. The result is a reduction in time-to-solution for technical buyers and a significant improvement in cross-divisional discovery — surfacing solutions that buyers might not have found through traditional category browsing.

Three Core Capabilities — Cross-Divisional Intelligence, Predictive Technical Support, and Customer-Centric Innovation

The engine's capability set is structured around three areas. The first is cross-divisional intelligence: engineers, IT directors, and operations managers can input solution requirements in plain language and receive curated responses that draw on the full Digi portfolio, eliminating the need to understand the divisional structure before beginning discovery. The engine identifies the most relevant capabilities across Digi, Opengear, Particle, and SmartSense and surfaces them together, with the resource links needed to evaluate and act on the recommendation.

The second is predictive technical support: the engine indexes thousands of pages of technical documentation and white papers across all four brands, providing instant configuration steps and code snippets without requiring users to download and search through multiple PDFs. For technical buyers at the evaluation or deployment stage, this capability compresses what can be a multi-hour documentation search into a direct, contextually relevant answer — delivered through the same conversational interface used for initial discovery.

The third is the broader statement the launch makes about customer-centric innovation as a strategic competency. The One Digi AI Discovery Engine is not a product in the traditional sense — it is an investment in the experience layer that sits between Digi's portfolio and its buyers. By prioritising natural language search as the primary discovery method, the company is extending its innovation mandate beyond hardware and connectivity into the full customer journey from awareness through to technical deployment. This framing matters: it signals to buyers, partners, and analysts that the company's differentiation is not limited to the physical and software products it ships, but encompasses how it designs the interactions through which those products are found and evaluated.

One Digi AI in the Context of a Broader AI Integration Strategy

The One Digi AI Discovery Engine launch sits within a broader pattern of AI integration across Digi International's portfolio. In February 2026, the company launched an MCP (Model Context Protocol) server for its Digi Remote Manager and Genesis platforms — enabling integration with large language model products to allow users to query device fleets, automate workflows, generate configuration insights, and troubleshoot using natural language interfaces. The two launches together reflect a coherent strategy: applying AI-native interfaces at both the pre-sales discovery layer (One Digi AI Discovery Engine) and the post-deployment operational layer (MCP server for device management), so that the shift to natural language interaction spans the full customer lifecycle rather than being confined to a single touchpoint. More information and direct access to the engine are available at digi.com.

Key Takeaways

  • Digi International has launched the One Digi AI Discovery Engine — now live as the primary gateway on the Digi homepage — a natural language interface powered by a custom-tuned LLM that unifies the company's Digi, Opengear, Particle, and SmartSense divisions into a single cross-portfolio search experience, designed to dramatically reduce time-to-solution for technical and operational B2B buyers
  • The engine eliminates the friction of manual site mapping by allowing engineers, IT directors, and operations managers to describe their requirements in plain language — receiving curated, cross-divisional responses with direct links to relevant solutions, datasheets, technical documentation, configuration steps, and code snippets, without needing to understand the divisional structure in advance
  • Three core capabilities underpin the engine: cross-divisional intelligence (surfacing relevant solutions across all four brands from a single query), predictive technical support (indexing thousands of pages of documentation to return instant answers without PDF downloads), and a broader signal that customer-centric innovation — including the experience layer between product and buyer — is a strategic differentiator alongside the physical and software portfolio
  • The launch follows the February 2026 introduction of an MCP server for Digi Remote Manager and Genesis, enabling natural language interaction with connected device fleets via LLM integrations — together, the two launches reflect a coherent AI strategy that applies natural language interfaces across both the pre-sales discovery layer and the post-deployment operational layer of the customer lifecycle
  • As B2B buyers move toward intent-driven purchasing environments, the One Digi AI Discovery Engine positions Digi International as a leader in redefining how complex industrial IoT enterprises interact with their global customer base — with the engine's design reflecting the company's view that innovation resides not only in physical products but in how those products are discovered, evaluated, and deployed
Tags: Industrial IoT AI Discovery Natural Language Search B2B Technology Edge Computing Customer Experience