01 / 06 SDK AVAILABLE
Build with energy context.
Turn energy data into reusable models, tools, and AI workflows.
BUILD / ENERGYCHAIN
Built for the next generation of energy apps
Meet EnergySmith Engine Build. Test. Orchestrate. Operate.
SOURCE
Energy data
Approved APIs
EnergyChainContext · Tools · Control
BUILD
AI applications
Your workflows
Developer first Vendor neutral AI native Interoperable Permission aware
THE ENERGY AI DEVELOPMENT LIFECYCLE
From prototype to production.
02 / 06 SDK TESTING
Test with confidence.
Check scenarios, permissions, and results before release.
TEST / ENERGYCHAIN
03 / 06 CLOUD PLANNED
Ready for the real world.
Move approved energy-AI workflows into managed production.
DEPLOY / ENERGYCHAIN
04 / 06 ENSMITH PLANNED
See what happened.
Follow tool calls, execution steps, and failures in one trace.
MONITOR / ENERGYCHAIN
05 / 06 WORKFLOW ROADMAP
Make every run better.
Find an issue, improve the workflow, and compare results.
ITERATE / ENERGYCHAIN
06 / 06 SDK PERMISSIONS
Keep humans in control.
Check permission and require approval for sensitive actions.
GOVERN / ENERGYCHAIN
One foundation.
Many things to build.
Common energy primitives, reusable integrations, and controlled workflows. Bring your application, your model, and your ideas.
Energy insights
Build assistants that explain consumption, answer energy questions, and make complex data useful.
Explore the workflow ↗Connected applications
Work with a consistent data model across approved energy APIs, instead of rebuilding every integration.
Explore the platform ↗Energy agents
Connect reasoning to energy tools, with clear permissions and human review for consequential actions.
Explore orchestration ↗Built for the builder
Energy-aware.
Developer-friendly.
Build the application you have in mind using familiar software abstractions. Start with data, add intelligence, and keep control of what happens next.
Explore the Docs ↗Application patternPython · pseudocode
# Connect → understand → recommend source = connect(approved_energy_api) context = normalize(source.readings()) insight = agent.analyze( context=context, goal="Explain today's energy usage" ) # Review before any action review(insight.recommendation)
Read access first. Explicit approval for actions.
Bring your model
Keep your choice of AI provider and application architecture.
Reuse your integrations
Build around consistent energy context and shared interfaces.
Keep people in control
Separate analysis from actions with permissions and oversight.
TRUSTED BY
Questions, answered
A clearer path to building.
How does EnergyChain pricing work?
Commercial pricing is being defined around developer experimentation and production usage. Contact us to discuss your integration, API usage, and deployment requirements. No public price plans have been announced.
What can I connect?
Integration access depends on the workflow and the permissions available from each provider. Tell us which energy API or data source your application needs so we can confirm its availability.
Is this an energy management dashboard?
EnergyChain is developer infrastructure. Developers use common interfaces and energy context to build their own applications, assistants, and workflows.
Can an AI agent take actions?
Actions must respect explicit permissions, operating limits, and human oversight where needed. Analysis access and control privileges are treated separately.
YOUR NEXT BUILD STARTS HERE
Build what’s next.
Power it with EnergyChain.
Make energy systems programmable, interoperable, intelligent, and accessible to developers.