Advanced PV Software for Europe.

Design Collective Self-Consumption projects with confidence. Our web-based stochastic modeling engine optimizes solar yield and storage for the unique regulatory landscape of Portugal and the EU.

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Made in πŸ‡ͺπŸ‡Ί from PhD Research @ FEUP
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How It Works

Professional-grade PV design with a streamlined 3-step workflow. No software installation required.

1

Design System

Draw arrays on HD maps to set parameters.

2

Upload Profile

Import 15-min utility data for total accuracy.

3

Get Results

Simulate optimization & TOU tariff savings.

Why Verlantis?

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Webapp First

No installs. OS Agnostic. Run complex simulations directly from your browser in the cloud.

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Collective Energy

Native support for Collective Self-Consumption (CSC) and Renewable Energy Communities (REC).

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Electro-Thermal Optimization

Unique algorithms to balance electrical batteries with cost-effective thermal storage.

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Probabilistic Results

Go beyond averages. See P90 and P99 confidence intervals for bankable data.

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Tariff Optimization

Compare Time-of-Use (TOU) tariffs to find the plan that maximizes your savings.

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Precision Data

Tailor simulations to your exact needs using real load profiles (E-REDES integration).

Collective Self-Consumption

Democratizing Energy Access in Portugal. Not everyone has a suitable roof for solar panels, but everyone should benefit from the energy transition.

Turnkey Installation

Want to start your own Renewable Energy Community (REC)? We offer a turnkey service using our professional PV sizing software to handle legal setup in Portugal and efficient management.

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Shared Array
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Home A
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Home B
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Home C

Shared Assets β€’ Distributed Benefits

Multi-Vector Storage

Electrical batteries are often the most expensive component of a renewable system. We are integrating a novel thermal energy storage technology that is up to 10x cheaper than traditional electrical batteries.

Our software determines the optimal ratio between electrical and thermal capacity to meet both heat and power loads (single-household analysis). This multi-vector approach minimizes Capex while ensuring your energy needs are met efficiently.

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Smart Household
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Electrical
Storage
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Novel Thermal
Battery

Optimized Storage Mix

Beyond Deterministic Models

Traditional energy forecasting assumes static variables. But nature isn't static.

Verlantis utilizes probabilistic algorithms to account for the uncertainty of weather patterns and consumption behaviors. By analyzing hundreds of thousands of potential scenarios, our PV software provides P90 and P99 confidence ranges that reflect reality, not just an ideal use-case.

  • Real-time weather variance integration
  • Behavioral consumption pattern matching
  • Risk-assessed ROI calculations

Probabilistic Forecast

Historical Yield Forecast Horizon Confidence Range

Research & Innovation

Born from rigorous PhD research at the University of Porto (FEUP). We are building the future of distributed energy in Portugal and Europe with scientific precision.