As experienced operators retire, critical know-how risks disappearing with them—making it harder to maintain reliability, safety, and performance. This capability captures and operationalizes expertise so every team can work faster, resolve issues consistently, and keep the system running smoothly.
PLAN FOR TOMORROW’S VOLATILITY, WITH CONFIDENCE.
The future of power generation is distributed, weather-dependent, and complex. You’re expected to keep customers loyal, balance consumption and generation. Deliver safe, dependable energy while driving down cost. And hedge against an unpredictable future—all while accelerating the transition to renewable energy.






How We Help You.
Accurate Strategic Planning
Across energy vectors to support decision-making and investments in an uncertain and rapidly evolving market context.
Accelerated CAPEX Delivery
Planning, engineering, construction - to realize investment plans within time and budget in a supplier market with unreliable delivery capacity & material shortages.
Customer Centricity

Sales, service, and data access—to allow active and optimized participation in the energy system.
Optimized Operations
Of systems and assets to increase productivity, profitability, and cost-competitiveness.
Increased Internal Knowledge
Advanced knowledge attainment, building & retention (learning, recruitment, knowledge sharing) to sustain critical know-how and improve day-to-day productivity.
Increased Security
Secure your critical energy infrastructure to protect physical and digital energy assets from cybersecurity and resilience threats (weather, geopolitical, supply chain).
THE IMPACT
WE MADE.
Strategic planning
you can trust.
We help you make confident, data-driven investment and portfolio decisions—despite volatile prices, shifting regulation, and rapid technology change—by providing a consistent planning view across all energy vectors (electricity, gas, heat, hydrogen, etc.).
Combine weather, economic, and demographic data to forecast electricity and gas consumption across regions and time horizons
Model future energy scenarios (e.g. electrification, hydrogen growth, carbon pricing) to guide long-term CAPEX and OPEX decisions.
Simulate interactions between gas, electricity, and emerging energy carriers (e.g. hydrogen, biogas) to inform balanced infrastructure investments.
Use machine learning to predict wholesale electricity and gas prices for procurement, hedging, and trading strategies.
Quantify the financial and operational implications of policy shifts (e.g. emission targets, carbon taxes, subsidies).
FASTER CAPEX delivery.
Enable your teams to deliver capital-intensive programs on time and on budget—even amid supply-chain volatility, long lead times, and contractor/material shortages.
Use AI to forecast delays and cost overruns in construction and grid expansion projects.
Monitor supplier performance, geopolitical risk, and logistics bottlenecks to proactively mitigate material shortages.
Simulate and track CAPEX projects (e.g. substation upgrades, gas network expansion) to improve visibility and coordination.
Optimize allocation of field crews, materials, and contractors based on demand forecasts and project criticality.
Use NLP to automate documentation, permitting, and compliance processes to accelerate approvals.
Turn Customers into Flexibility Assets.
Identify high-potential customers for demand response, rooftop PV, or EV programs.
Provide tailored recommendations through apps and portals using smart meter data.
Develop adaptive tariff structures to incentivize load shifting and grid-friendly behavior.
Aggregate customer assets (EVs, batteries, heat pumps) for flexibility markets.
Deploy AI chatbots and predictive models to anticipate service requests and resolve outages faster.
THE IMPACT
More grid capacity minus the costly reinforcements.
In the short term, AI helps to maximize power flows today while buying time for smarter, future-proof investments. This can be achieved through topology optimization, dynamic equipment rating, or predictive maintenance.
In the long term, AI helps determine where to plan extensions or reinforcements for the greatest impact at the lowest cost.
Operational
Excellence & Data-Driven Asset Management.
Use IoT and ML to detect anomalies and predict failures before they occur.
Employ AI to optimize dispatch and control of distributed energy resources (DERs). Energy loss detection: Identify and reduce technical and non-technical losses in transmission and distribution networks.
Identify and reduce technical and non-technical losses in transmission and distribution networks.
Use AI to efficiently route and schedule maintenance and inspection crews.
Combine condition-based data and financial models to optimize replacement and refurbishment decisions.
Capture Critical Know-How Before
It’s Gone.
Capture and link engineering documents, incident reports, and operational knowledge.
Use AR/VR and generative AI to train technicians and operators in simulated field conditions.
Summarize lessons learned from maintenance logs, safety reports, and outage resolutions.
Match workforce capabilities to upcoming technology and regulatory needs.
Enable contextual search and Q&A across internal knowledge bases and project records.
Secure your critical infrastructure.
Protect physical and digital energy assets from cybersecurity and resilience threats.
Monitor OT/IT systems for unusual network behavior or intrusion attempts.
Test resilience against coordinated attacks or failures across power and gas networks.
Use AI to classify and respond to cybersecurity events in real time.
Assess vendor risk exposure across software and equipment suppliers.
Model system resilience under extreme weather, cyberattacks, or blackouts to optimize recovery strategies.
From Complexity To Clarity

AI ADVISORY
Whether you're a C-level executive, innovation lead, or business strategist, we help you confidently shape your AI vision—pinpointing high-impact use cases and guiding you to the right people, governance, and architecture decisions to accelerate execution.

AI ENGINEERING
Build your bold vision with solid AI. We have deep AI-native expertise and a focus on tangible results. We engineer AI solutions that are robust, secure, and production-ready—seamlessly integrated into your enterprise stack, driving real business impact from day one.
WHY WORK
WITH ML6?
Because the energy sector doesn’t need more technology promises — it needs results.
Tailored for Complex
Energy Environments
- Future-proof architectures: Scalable, API-driven, integration-ready
- Proven outcomes: Lower forecasting errors, improved margins, accelerated time-to-market
years of AI native expertise
AI projects delivered
is the average NPS score our customers give us
weeks of average time-to-value
AI-native experts at your fingertips
of time of our engineers is dedicated to deep tech research
BE
inspired.
Stay in the loop with stories from our team, success cases from our clients, and news on what we’re building behind the scenes. Whether it's a deep dive into the latest in AI, a behind-the-scenes look at a real-world implementation, or product updates we’re proud of — here’s what’s been happening lately.
BlogSmart energy: how to make your home battery smart and save money?
A home battery might be called “smart” because it connects to an app that allows the home owner to track their usage. But wait, what if there’s more? Let’s take a look at how you can make a battery smarter by connecting it to external inputs such as daily energy prices and weather. This can lower the pressure on the grid by reducing the peak usage, and when switching to a dynamic pricing contract this can also save you money. In this blogpost we demonstrate a system that can save up to 35% on electricity costs.
BlogAI for the green transition - Applications and use cases [Part 2]
AI has great potential to accelerate efforts to protect our environment, such as reducing emissions or making more efficient use of scarce resources. Let’s dive into some examples of use cases - with no ambition to be exhaustive - where AI can help tackle important challenges.
BlogAI for the green transition - Applications and use cases [Part 1]
AI has great potential to accelerate efforts to protect our environment, such as reducing emissions or making more efficient use of scarce resources. Let’s dive into some examples of use cases - with no ambition to be exhaustive - where AI can help tackle important challenges.






