The right plan for every team.
Plans are tailored to your team size, project volume, and deployment needs. We'll help you identify the right setup for your planning workflow.
For the cost of a consulting day per month, save 3–5 days per project.
Essential
For focused feasibility studies and early-stage energy concepts.
Includes:
- 3 active projects
- Core benchmark library
- Scenario modelling
- In-app reports (printable)
- Email support
Professional
For teams delivering client-ready energy concepts across multiple projects.
Everything in Essential, and:
- Unlimited projects
- Full benchmark library
- Collaboration tools
- API access
- Priority support
Enterprise
For utilities, public energy bodies, and organisations running multi-project planning programmes.
Everything in Professional, and:
- Dedicated onboarding and success support
- Custom integrations
- White-label reports
- Data residency and security review
- Procurement and SLA support
Cost reduction vs status quo across 16 PV and energy-sharing scenarios.
CO₂ reduction by 2040, mapped across three scenarios for a new eco-quartier.
Renewable heat target verified across optimal district heating expansion scenarios.
Security, privacy, and procurement readiness
Sympheny is a Swiss company built around European data protection standards. Here's what your security, IT, and procurement teams typically want to know upfront.
EU-hosted by default
Project data is hosted on AWS in Stockholm, Sweden. Customer relationship data is managed in Salesforce, hosted in Frankfurt, Germany.
Data residency options
Enterprise customers with specific data residency requirements — including US deployment options — can be discussed during procurement.
Customer data remains yours
We don't resell, archive, or repurpose your project data. After cancellation, data is exported and then deleted in line with GDPR.
GDPR and Swiss data protection alignment
Fully GDPR compliant and aligned with the Swiss Federal Act on Data Protection (nDSG). Payments handled by certified third-party processors.
Transparent sub-processors
We publish the sub-processors involved in delivering Sympheny so your team can review them as part of any vendor assessment.
No customer data trains our AI
MILP optimisation is deterministic — no AI in the calculations. ML forecasting is opt-in. Either way, your project data never trains any model, ours or anyone else's.
Ready to deliver energy concepts faster, with more scenarios and clearer trade-offs?
In a 30 minute demo, see your project set up, scenarios compared, and a report ready to share.