From infrastructure to customers.

Integrate intelligent conversational AI to transform customer self-service and streamline data ingestion.

• Deploy an intelligent 24/7 assistant that guides customers through the connection process, from first question to submitted application
• Allow users to drop pins on a map and ask conversational questions about connection feasibility at specific land parcels
• Automatically translate unstructured customer queries into structured data requirements ready for the connection engine
• Ingest your own design policy documents directly into active decisioning logic, so rule changes do not require a software release

Provide a seamless, automated self-service experience directly to your customers and installers.

• Embed an automated, 24/7 web platform on your corporate website for stakeholders to request, assess and track applications, with immediate feedback on connection viability and next steps
• Strip out the technical jargon, so the Agentic AI explains what each customer needs to provide, and why, in plain language they can act on
• Answer technical questions on the spot, with the Agentic AI looking up EV, PV and battery equipment specifications and retrieving the customer's own connection details such as phase allocation and where they sit on the network
• Fast-track compliant applications to automatic approval, and offer flexible connections that adjust exports and imports to network conditions instead of a static pass or fail limit
• Streamline document uploads and pass structured application data straight through to internal engineering teams

Empower your front-line network engineers with self-service network interaction and cost optimisation capabilities.

• Bypass legacy bottlenecks by running automated checks and visual what-if scenarios directly within a self-service GIS interface
• Manage and prioritise the connection queue and backlog, with applications, network model, design and costs held together in a single dashboard
• Transform complex design manuals into automated workflows that combine network models with standards to ensure fully compliant, evidence-based decisions
• Leverage public and private GIS land boundaries to automatically calculate the shortest, most cost-effective connection routes
• Identify capacity hotspots before they become critical, and see how the connection pipeline shapes future network needs to support proactive investment

Trust in a resilient engine built for real low-voltage data, not laboratory conditions.

• Impute missing GIS topologies and smart meter telemetry, correct mismatched phase mappings using smart meter voltage correlations, and adjust base voltage profiles for physical tap changes
• Run multi-phase timeseries power flow simulations across the low-voltage network, using a data-driven approach to represent the true phase imbalance of LV feeders
• Calculate voltage profiles, thermal loading and Earth Fault Loop Impedance across the day, so connection safety is assessed against the worst half hour rather than a single snapshot
• Solve down to individual low-voltage feeders with co-designed mathematical algorithms
• Rely on algorithms that hold up against real-world data quality issues, proven across tens of thousands of low-voltage networks serving millions of customers

Connect Vision into your enterprise architecture through secure, governed integrations.

• Ingest data through live, bi-directional API synchronisation with corporate GIS and CRM
• Handle massive asynchronous datasets without latency, keeping asset changes, customer queues and network topology aligned across all internal platforms
• Access your corporate systems through secure, audited connections, scoped to least privilege and deployed to your own security and data governance standards
• Deploy natively on Google Cloud Platform as a high-availability SaaS, with isolated production and non-production environments, data hosted in your region and corporate Single Sign-On (SSO)
• Generate design summaries and pre-populated data structures ready for ingestion into downstream work management systems, reducing manual drafting errors