school New to AI-Native Grids? Start Here.

The AI-Native Future of
Distribution Grid Modeling.

Welcome to the next generation of power systems. We've built an ecosystem where smart agents and distribution models speak the same language.

Start Onboarding arrow_downward Quick Documentation description
12

Open-Source Repos

5+

Model Formats

MCP

AI-Native Protocol

BSD-3

Fully Open License

Your Path to Intelligent Modeling

Three steps to transform your distribution grid workflows.

1

Model Standards

Start by adopting our Grid Data Models. We provide the semantic structure that AI needs to understand line impedances, transformers, and topologies without confusion.

2

Unified Protocol

Enable the Model Context Protocol (MCP). This acts as a translator, allowing LLMs like Claude or GPT to "see" your grid data as clearly as you do.

3

Automated Insight

Use SHIFT to build synthetic feeder models from geospatial data, or ERAD to compute resilience metrics. Both tools support AI agent integration through MCP.

Built for the AI Era

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Approachability First

Complex power physics wrapped in intuitive, agent-ready interfaces.

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Agent-Native Design

Every tool is a "skill" that your AI agents can master automatically.

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Open Ecosystem

Fully open-source repositories designed for community contribution.

AI Assistant Workflow

// Natural Language Query

"Hey AI, build me a distribution feeder model for Golden, CO and convert the model to OpenDSS."

1. Fetching parcels and road network via SHIFT...

2. Exporting to OpenDSS via DiTTo...

3. Feeder model built and exported. Reporting results.

Explore the Suite

The modular components that make up the NLR Distribution Suite. Each one is a standalone powerhouse and a perfect teammate for your AI agents.

Full GitHub Org arrow_forward
analytics

SHIFT

A Python framework for building synthetic power distribution feeder models from open-source geospatial data using OpenStreetMap.

Synthetic Modeling Repo →
transform

DiTTo

The Distribution Transformation Tool. An open-source tool to convert and modify electrical distribution system models between formats like OpenDSS, CIM, CYME, and Synergi.

Transformation Repo →
schema

Grid Data Models

A Python package containing pydantic data models for power system assets and datasets, with built-in validation, unit conversion, and JSON serialization.

Standards Repo →
health_and_safety

ERAD

A graph-based Python toolkit for computing energy resilience metrics for power distribution systems in the face of hazards like earthquakes and flooding.

Resilience Repo →

Ready to build the future?

Join our community of engineers and AI researchers. Whether you're a user or a contributor, there's a place for you in the suite.

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