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Artificial Intelligence applied to the optimisation of electrical assets in Brazil.

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Map of Brazil with the high-voltage transmission network, followed by a solar, wind and battery plant, a transmission line and a data center, drawn as line art.

Solutions

  1. 01Generation
  2. 02Transmission & Distribution
  3. 03Data Centers

01

Generation

  • Increase the potential return of your plants.
  • Compute curtailment scenarios.
  • Optimise PPA planning.

02

Transmission & Distribution

  • Connect new demand resiliently.
  • Attract infrastructure investment.
  • Use data centers as sources of flexibility for the grid.

03

Data Centers

  • Accelerate the speed-to-power of your projects.
  • Measure interconnection capacity at substations, at scale.
  • Quantify demand-interruption risks and scenarios.

How it works

We consolidate public and proprietary databases that feed our artificial intelligence, FLEo1. The AI orchestrates the study and our SINcopi algorithm solves the case.

Method diagram in three stages joined by one continuous line: public databases (ONS, ANEEL, EPE, IBGE, Copernicus) and proprietary bases enter a busbar; FLEo1 picks case, load level, cut, scenarios, contingencies and model; SINcopi solves over the MW ladder with n-1 screening and returns a band and a verdict, with the official NEWAVE, DECOMP and DESSEM chain as reference and open models running the same case for comparison.

01

Data

Public power-sector databases and proprietary bases enter the same case, with origin and date recorded.

02

FLEo1

FLEo1, our artificial intelligence, assembles the study: it picks case, cut, scenarios and model, and records every decision as the basis of the answer.

03

SINcopi

Our proprietary algorithm solves the case on the real grid and returns an MW band and a verdict, with the official chain as the reference.

Results

01

Generation

Screen · Generation map

Where the grid curtails your generation, and how much. The map crosses solar and wind potential, transmission lines and the curtailment ONS records per cluster, month by month, for one plant or for the whole portfolio at once. It is the basis for curtailment scenarios and for PPA planning at scale.

Generation map / CurtailmentJul 2025 – Jun 2026
Solar potential
Wind potential
Transmission lines
Curtailment

Selected

Conj. Janaúba

MG · solar

Installed1,336.8 MW
Curtailed939.0 GWh
Curtailment rate28.1 %
Monthly curtailment · GWh
Conj. Janaúba939.0 GWh

MG · solar

Conj. Serra do Mel A810.6 GWh

RN · wind

Clusters by curtailment
ClusterStateCurtailedRate
Conj. JanaúbaMG939.0 GWh28.1 %
Conj. Serra do Mel ARN810.6 GWh33.8 %
Conj. Rio do VentoRN783.2 GWh32.0 %
Conj. Arinos 2 500 kVMG753.8 GWh24.5 %
Conj. Lagoa dos VentosPI706.0 GWh20.0 %

02

Transmission & Distribution

Screen · Inquiry Desk

An access inquiry arrives and the utility screens its own network against the requested load: every bus at once, each with a band, a verdict and a robustness. A flexible load enters as a filter of the same screening. The answer leaves as a pack, basis stated, and the same case answers the next inquiry.

Inquiry Desk / Own networkCase 2026-08-05
Inquiry queue→ New inquiry
Firm load · 300 MWIn triage
Flexible load · 100 MWReceived
Firm load · 200 MWReceived
Firm load · 50 MWAnswered
What the prospect asked
Firm load300 MW
StatePE
Base case2026-08-05
My buses against 300 MW · 20 evaluated · 12 serve
BusBandVerdict
SE Garanhuns II500–500 MWConnect
SE Pirapama II500–500 MWConnect
SE Tacaimbó500–500 MWConnect
SE Arcoverde II300–500 MWConnect
SE Bongi200–300 MWReinforce
SE FIAT200–300 MWReinforce
Response pack
Recipient email
Download response pack →
N-1 screening · Case 2026-08-05

03

Data Centers

Screen · Atlas

Where a large new load fits today on the Rede Básica, in what band and how robustly. Every substation in the region gets a verdict per MW step, a headroom band and a time class, all on the same case; when the model cannot say, it withholds and states why. It is speed-to-power measured at scale: the whole region, not one site at a time.

Atlas / Screening · Data centerCase 2026-08-05

Selected

SE Garanhuns II

PE · 230 kV

500–500 MW
Connect
Time classNear-term
MW step300 MW
Ranked substations · 300 MW
SE Garanhuns IIPEConnect500–500 MW
SE BanabuiúCEConnect500–500 MW
SE Arcoverde IIPEConnect300–500 MW
SE Caraúbas IIRNConnect300–500 MW
SE BongiPEReinforce200–300 MW
SE CoremasPBReinforce50–100 MW
N-1 screening · Case 2026-08-05
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