WITH FUSEBOX OS, YOU CAN

Scale energy flexibility with lower TCO

Get to first MW faster, without rebuilding your stack for every TSO and market. Scaling flexibility gets expensive when expansion requires new intehrations, new engineering cycles, and ongoing platform maintenance. Most teams choose one of three paths.
Live in
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European countries
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TSO
integrations
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+ assets
& 300+ MW per deployment
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+ years
in flexibility operations

3 paths to flexibility at scale

Scaling energy flexibility becomes expensive when expansion means, new TSOs, new products, new OEMs, new compliance requirements, each adding engineering load and operational complexity.

Architecture determines whether growth compounds cost or compounds efficiency. The right model reduces not only upfront investment and operating costs, but also long-term development burden and structural lock-in.

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Build your own VPP + EMS

Maximum freedom – but long time to production, and every market or OEM change becomes ongoing engineering work.
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Buy a single-vendor stack

A faster all-in-one path. But extensions are often constrained and interoperability is typically gated.
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Implement Fusebox OS

Standardize the operational backbone with modular building blocks, while keeping your strategy, tools, and the ability to scale without rebuilding. 

Total cost of ownership (TCO) comparison

Own VPP + EMSSingle-vendor stackInteroperable Fusebox OS
Feature depthAnything you buildBroad but constrained extensionsModular building blocks via APIs and integrations
Time to production9–30 months4–12 monthsWeeks–months
Upfront investment (Year 1)€1.2–€5M€0.3–€2.5M€0.05–€0.6M
Operating costs (annual)€0.8–€4.5M/yr€0.8–€3.0M/yr €0.1–€0.6M/y
Dev / change burdenPermanent high (markets/OEMs change = your backlog)Medium (roadmap + paid CRs; vendor cadence)Low–medium (config + API extensions, less core maintenance)
InteroperabilityWhatever you buildOften ecosystem-boundDesigned open + modular
Lock-inHigh internal lock-inHigh vendor lock-inLower (swappable components)
Ranges vary depending on your starting stack, asset mix, rollout scope, and target markets. If you expect frequent change, interoperability typically delivers the lowest long-term burden.

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Why interoperability reduces long-term TCO

TCO isn’t decided by license or build alone. The real driver is how often you need to adapt – new TSOs, new products, new asset types, new compliance requirements. Architectures designed for change (open interfaces and modular building blocks) reduce long-term development burden, minimize lock-in, and allow you to scale without repeated re-platforming.

FAQ – Frequently asked questions

What primarily drives total cost of ownership in flexibility operations?

Beyond initial CAPEX, the largest driver is change frequency – new TSOs, new products, OEM updates, integrations, and compliance requirements. Architectures not designed for change accumulate long-term engineering burden.

How long does it typically take to get to first MW live?

Time to production depends on integration complexity and rollout scope. Custom builds often take 9-30 months, single-vendor stacks 4-12 months, while interoperable operating layers can go live in weeks to months.

Do we need to replace our existing EMS, trading desk, or controllers?

Not necessarily. An interoperable operating layer is designed to connect existing systems rather than replace them, reducing re-platforming risk.

What creates lock-in risk in flexibility architectures?

Custom builds create internal lock-in through key-person and maintenance dependency. Vendor stacks create ecosystem lock-in via proprietary data models and roadmap control. Modular, interoperable architectures reduce both risks.

How can we benchmark our own TCO?

Consider these three inputs

  1. Starting stack (controllers, EMS, forecasting, trading, TSO connections)
  2. Scope (asset types, MW, number of sites, geography)
  3. Expected change rate (new integrations, markets, compliance updates)

Time-to-production and cost ranges scale primarily with integration complexity and rollout scope.

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