Why
The electricity market never sleeps. Neither should your strategy.
Quarter-hourly intervals. 380+ daily decisions. Volatile prices. Blind bidding.
The Spanish pool spans Day-Ahead and multiple Intraday sessions, each with its own liquidity and timing. Static spreadsheets and gut instinct leave margin exposed to price spikes, missed arbitrage windows, and volatility that compounds daily.
A decision engine that unifies market prediction and business operations
Vortico Energy Platform combines state-of-the-art AI with deep market-structure knowledge to transform how you operate.
Forecasting, risk assessment, strategy creation, and bid generation happen in one coherent workflow — predictive analytics informing every decision, with no disconnected tools to juggle.
360° market intelligence, end to end
Predictive analytics and configurable strategies working together, from forecasting the market to executing your bids.
Price forecasting
Probabilistic models trained on years of market data predict price movements up to 7 days in advance with different confident levels.
Volatility & risk
Risk estimation from historical volatility, applied to volume allocation across sessions.
Demand volume
Demand-aware allocation models that factor consumption patterns, grid constraints, and seasonal shifts into every decision.
Conservative strategy
Distributes volume evenly across sessions and rounds, minimising exposure to single-point volatility for risk-averse portfolios.
Balanced strategy
Combines moderate Day-Ahead commitment with tactical Intraday positioning, balancing cost optimisation against delivery certainty.
Optimal strategy
Aggressively pursues the lowest-cost allocation by concentrating volume where AI-predicted prices are most favourable.
Products
Market Strategy
Build bidding strategies for the Day-Ahead and Intraday sessions, down to each of the 96 quarter-hourly slots, and export them ready for submission.
Forecast Analysis
See the week ahead session by session, and how the forecast compares with a week that has already settled.
Historical Analysis
Review how each market session performed over a week, and what changed against the week before.
The impact on your business
Up to 20%
Average savings realised by portfolios using AI-optimised bidding strategies versus manual teams, validated across multiple market cycles and volatility regimes.
Direct margin impact
Reduced procurement costs flow directly to EBITDA. Every basis point saved on energy purchasing improves the bottom line.
Competitive advantage
Outperform peers still relying on manual bidding. AI-informed strategies adapt faster than human operators to intraday shifts.
Operational efficiency
Eliminate hours of daily spreadsheet work. Automated strategy generation, validation, and export free your team for high-value decisions.