MagikDev, an official GE Vernova and Microsoft partner specializing in Smallworld Geospatial Network Management (GNM), today announced the general availability of its AI Nexus Platform—a suite of three integrated products designed to help utility and telecommunications organizations work more effectively with their Smallworld GIS environments.

The platform consists of the AI Assistant, Job Orchestrator, and AI Analytics—each addressing a different operational challenge. Importantly, the AI Assistant works with both current and previous versions of Smallworld, giving organizations on older deployments access to modern AI capabilities without requiring a full-system upgrade.

Many utility organizations operate on earlier Smallworld versions that meet core needs but lack newer automation features. Upgrading an entire GIS environment is a significant undertaking—often requiring budget cycles, extended testing, and operational downtime.

MagikDev’s AI Assistant integrates directly with legacy and current Smallworld versions through a secure proprietary middleware layer, allowing users on older systems to perform object management, data quality checks, network traces, and project creation using conversational commands.

“The AI Assistant meets teams where they are. If you’re running an older Smallworld version, you can still benefit from AI-driven efficiency improvements today.” — Walter Cherfem, CIO, MagikDev

The AI Assistant operates as a dialog chat embedded inside the Smallworld application. Users issue natural-language commands to navigate objects, run bulk operations, execute quality rules, and create projects and designs. The system uses a “no data to AI” architecture: sensitive company data never leaves the client’s environment. The platform is vendor-agnostic, supporting any AI model accessible via API.

Smallworld environments depend on job servers to process data transactions. Managing them has traditionally been manual and reactive—administrators monitor status, restart crashed processes, and balance workloads after users have already experienced delays.

The Job Orchestrator automates this cycle: it monitors server health, scales capacity based on demand, recovers from crashes, and balances job distribution—all without manual intervention after initial configuration. The system is extensible, allowing new server types to be added as infrastructure evolves.

AI Analytics addresses a persistent challenge: data that lives in separate systems. Smallworld GIS, ADMS, OMS, and SAP each hold pieces of the operational picture, but querying across them typically requires custom integrations or manual data exports.

AI Analytics provides a unified query layer across these platforms. Users define custom performance indicators, run complex network calculations, and perform cross-system searches using natural language. Data is processed where it resides—no need to move or replicate it into a separate environment.

“Utility teams have always had the data. What they haven’t always had is a practical way to ask questions across systems without a weeks-long integration project. You define what you need to measure, and the system retrieves it.” — Ronaldo Terra, CEO, MagikDev

All three modules share a common security principle: sensitive utility data stays within the client’s environment. AI interactions are handled through instruction-based communication rather than data transfer. Any data that must be transmitted is encrypted, and no proprietary infrastructure information is exposed to third-party AI providers.

The AI Nexus Platform is available now. MagikDev offers consulting engagements to assess compatibility with existing Smallworld deployments, including legacy versions.