Who we work with, and what connects to Sympheny.
Sympheny works with specialist partners in network design, research and optimization, and fits the data and reporting workflow a US planning team already uses. On the way in, it brings in standard US public datasets: NREL solar and building load data, EIA prices, eGRID emissions factors, NOAA weather and the OpenEI Utility Rate Database. On the way out, you get in-app dashboards and a REST API. Because those federal sources are free, a US team can build a model on authoritative data at no extra cost.

Partners
The companies, research institutes and associations we work with.
Specialized network design, with partners
For district heating and network projects, partner engines plug into your Sympheny model to take a concept to engineering detail: thermal-network design from Planeto and GIS route optimization from Gilytics. Heatnet Global adds ready-made heating and cooling kits, which Sympheny sizes for each site.
Planeto
Heat-network planning that takes a Sympheny concept to engineering detail: thermal-energy modeling (including boreholes), heat-demand simulation, and routing of the heat network simulated under real heat loads. A University of Geneva spin-off focused on district heating and cooling.
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Gilytics
GIS-based network route optimization. The Pathfinder engine finds least-cost paths for large networks, grids and district-heating routes, treating layers of spatial constraints as penalty functions and costing the resulting network.
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Heatnet Global
Modular heating and cooling kits: proven components, suppliers and delivery partners, packaged for common applications. Sympheny sizes and optimizes each kit for the site in front of you.
Learn moreEngineering-grade solvers and cloud infrastructure
The Sympheny optimization engine runs on industrial solvers and cloud infrastructure built for the scale of real planning work. The optimization itself is a deterministic MILP; it is math, not AI.

Empa & Berkeley Lab research
Built on energy systems and optimization research developed at Empa, the Swiss federal materials science and technology institute, since 2014, with ongoing collaboration with Berkeley Lab.
Learn moreGurobi Optimizer
An industrial mathematical optimization engine that searches across thousands of technology and capacity combinations for the multi-objective scenario set. Gurobi is a US company, based in Beaverton, Oregon.
Learn moreAWS cloud infrastructure
Hosted on AWS with autoscaling compute for optimization jobs and an isolated project workspace per customer. US regions and US data residency are available for enterprise and federal deployments.
Learn moreSense energy hub solver
Sympheny's V3 solver engine handles more flexible hub topologies and richer constraints than the previous generation, with faster execution on large district models.
Integrations
The systems, data and outputs Sympheny connects to.
Automate, extend and deploy Sympheny
For teams running many studies, or for an enterprise or federal program building Sympheny into its own environment, a REST API, developer tooling and enterprise deployment options expose the platform programmatically.
Esri ArcGIS
Use ArcGIS layers and basemaps for site context, building footprints and district boundaries inside the project workspace. ArcGIS is licensed separately by your team; Sympheny works with the layers you bring.
Learn moreREST API
Programmatic access to projects, scenarios, optimization runs and results, for automation, batch studies and internal tooling.
Learn morePython SDK
sympheny-toolbox, the official Python client. Every documented endpoint as a typed method, with matching sync and async APIs, and worked examples for building a scenario from Excel and running a solver job.
Learn moreMCP server
Connect Sympheny to AI assistants and coding agents over the Model Context Protocol. An assistant can set up scenarios and read results; the optimization itself still runs on the deterministic MILP engine.
Learn moreEnyTool
Scripting and advanced workflow tooling for teams that want to drive Sympheny from notebooks or build repeatable analysis pipelines.
Learn moreSingle sign-on (SSO)
SAML / OIDC SSO for enterprise customers, so Sympheny access runs through the identity provider your organization already uses.
Webhooks & exports
Trigger downstream systems when an optimization run completes, or schedule recurring exports of results into your own data stack.
Enterprise & federal deployment
For larger programs, Sympheny offers enterprise deployment options including US regions and US data residency, SSO and dedicated project workspaces. Talk to us about what a specific program or agency environment requires.
SAP
Connects Sympheny's energy model outputs to SAP enterprise energy and asset management workflows.
Hand off results in the formats stakeholders use
The same model that runs the optimization produces the visuals, comparisons and reports your stakeholders see. No rebuilding charts in a slide deck before a review board.
In-app reports
Run outputs — assumptions, scenario comparison, KPIs and energy-flow diagrams — viewable directly in the project workspace and printable from the browser.
Sankey energy flows
Sankey diagrams showing energy flows from sources through conversion to final demand, viewable in the app.
Cost–CO2 trade-off
Every optimized scenario plotted on cost vs. CO2 in one chart, so the trade-off curve is visible at a glance.
GIS hub views
Map-based views of energy hubs in their geographic context for stakeholder review and public communication.
Image & SVG exports
Charts, GIS views and Sankey diagrams export as image or vector files for direct use in presentations and slides.
See Sympheny in your stack.
Book a 30-minute live demo and we'll walk through how Sympheny fits with the US data and tools your team already uses.