Picking the vendor for that layer starts with a comparison problem. Energy software firms describe similar services, while proposals for one platform differ in scope, stack, and price. A buyer needs to see which parts of the data path each vendor owns.
This roundup profiles top 7 companies providing energy data platform development services and sets them side by side in one table. You will also find 4 market signals for 2026, the factors that move a platform budget, and 5 questions to put to a vendor before you sign.
Key Takeaways
- Renewables overtook coal in the global power mix in 2025, and data center electricity use will roughly double by 2030.
- Grid investment needs to rise by about 50% by 2030, according to the International Energy Agency.
- Relevant Software, ELEKS, Future Processing, Svitla Systems, SoftServe, Sigma Software, and Softeq each publish energy software services with at least 1 energy client, case, or award on record.
- A platform budget moves with 5 drivers: source count, data latency, forecasting scope, security and compliance, and post-launch support.
- Written answers on data ownership, validation, forecast acceptance, OT security, and support terms give you a fair basis to compare vendors.
Market Signals Behind Energy Data Investment in 2026
The generation mix and grid budgets both shifted in 2025. Each shift adds data an energy platform must collect and reconcile. Here are 4 signals that set the 2026 context:
- Renewables supplied 33.8% of global electricity in 2025 and overtook coal at 33.0% for the first time, according to Ember's Global Electricity Review, which drew on 2025 data from 91 countries covering 93% of demand.
- Solar power alone met 75% of the net increase in global electricity demand in 2025, and wind and solar together covered 99% of that growth, Ember's 2026 Global Electricity Review shows.
- Data center electricity use will roughly double from 485 TWh in 2025 to 950 TWh by 2030, around 3% of global demand, according to the International Energy Agency's 2026 Key Questions on Energy and AI.
- Annual grid investment needs to rise by roughly 50% by 2030 from about $400 billion today to meet forecast electricity demand, the International Energy Agency calculates in the agency's 2026 electricity outlook.
Profiles of the Top Companies Providing Energy Data Platform Development Services
The table below lists 7 companies that build data platforms for the energy industry. Each row shows their energy focus, cloud platforms, security credentials, founding year, and Clutch score.
| Company | Energy focus | Cloud platforms | Security credentials | Year founded | Clutch |
|---|---|---|---|---|---|
| Relevant Software | EMS, ETRM, smart grid software, AI forecasting | AWS, Azure, Google Cloud | ISO 27001, GDPR compliance | 2013 | 4.9 (32 reviews) |
| ELEKS | SCADA, digital twins, drone inspections | AWS | ISO 27001, ISO 9001, SOC 2 | 1991 | 4.8 (31 reviews) |
| Future Processing | AMI data processing, regulatory reporting | AWS, Microsoft Azure, Google Cloud | ISO 27001, ISO 9001 | 2000 | 4.7 (51 reviews) |
| Svitla Systems | Virtual power plants, demand response, renewable monitoring | AWS, Google Cloud | ISO 9001, SOC 2 | 2003 | 4.8 (32 reviews) |
| SoftServe | Grid digital twins, vegetation risk ML, gas lift optimization | AWS, Microsoft, Google Cloud | ISO 27001, ISO 27701, SOC 2 Type 2 | 1993 | 4.8 (3 reviews) |
| Sigma Software | Consumption billing, reports and forecasts, asset management | Microsoft Azure, AWS | ISO 27001, ISO 13485 | 2002 | 4.8 (37 reviews) |
| Softeq | Smart utilities, drone inspection, renewables forecasting | AWS, Microsoft Azure | ISO 27001, ISO 9001, ISO 13485 | 1997 | 4.9 (27 reviews) |
Relevant Software
Team Size: 100+ in-house engineers
Min. Project Size: $50,000+
Delivery Record: 240+ projects, 99% on-time delivery
Energy Sector Results: 20% higher forecast accuracy, 15% shorter planning time, 9x assessment capacity
Core energy software development capabilities
- Energy management systems and smart grid software
- SCADA and ETRM development
- IoT monitoring for field assets
- AI for forecasting and operational decisions
- Data pipelines and analytics platforms that turn sensor and operational data into forecasts
Relevant Software is among the best companies providing energy data platform development services and has kept a 98% client satisfaction rate and 96% employee retention across 13 years in business. ISO 27001 certification and GDPR compliance cover data security, and Clutch reviewers rate the firm 4.9 from 32 reviews.
Selected energy projects
- An AI forecasting tool for a smart energy and water conservation technology company reads sky images with machine learning and adds weather data. Forecast accuracy rose 20% over the earlier weather-only model.
- A digital twin SaaS platform for an energy conglomerate spin-off cut project execution planning time by 15%.
- For a Fortune 500 R&D provider, a remote device-monitoring platform raised cognitive assessment capacity 9x.
ELEKS
Team Size: 2,000+ specialists
Min. Project Size: $25,000+
Delivery Record: 1,000+ end-to-end projects, 120+ active client accounts
Energy Sector Results: 60+ data sources integrated for GRTgaz, 250 customers on the DAKAR product
Core energy software development capabilities
- SCADA and smart grid software
- IoT and IIoT solutions
- Digital twins and predictive maintenance
- Big data analytics with ML and AI models
- Drone inspections for field assets
ELEKS has worked in software engineering for 35 years across 20+ offices. The firm partners with Databricks, holds the AWS Cloud Operations Competency and OpenAI Select Partner status, and carries ISO 27001, ISO 9001, SOC 2, and Cyber Essentials Plus credentials.
Selected energy projects
- For GRTgaz, a data integration project joined 60+ independent sources to support decision-making.
- DAKAR, an energy software product from the company, serves 250 customers.
Future Processing
Team Size: 750+ professionals
Min. Project Size: $25,000+
Delivery Record: 900+ projects
Energy Sector Results: 61.7 million daily meter readings processed for Tauron
Core energy software development capabilities
- AMI data processing
- Advanced analytics with AI and ML
- Data visualization and modeling
- Regulatory reporting for utilities
- Cybersecurity for critical sectors
Future Processing has built software since 2000 and has worked with large utility companies for 11 years. AWS Advanced Tier Services Partner status, a Microsoft partnership dating to 2007, Google Cloud Partner status, and ISO 27001 and ISO 9001 certification round out the profile.
Selected energy projects
- An advanced analytics system for Tauron collects data from 61.7 million daily meter readings and handles 1.9 billion readings and 570 GB of new data a month.
- For an energy and utility management provider, the team built BI and a data warehouse and delivered 18 actionable ideas for using existing data sources.
Svitla Systems
Team Size: 1,000+ tech professionals
Min. Project Size: $25,000+
Delivery Record: 5,000+ completed projects
Energy Sector Results: PV calculation time cut from hours to 5 to 10 minutes
Core energy software development capabilities
- Energy portfolio management
- Real-time monitoring and forecasting
- Virtual power plant management
- Renewable energy monitoring with SCADA integration
- Demand response management software
Svitla Systems has delivered software since 2003 and counts 90%+ repeat customers. Credentials include AWS Advanced Consulting Partner status, ISO 9001:2015, and SOC 2.
Selected energy projects
- A SaaS platform for a solar PV provider cut PV calculation time from hours to 5 to 10 minutes and reduced AWS costs.
- Other energy builds include a solar energy billing platform, an electricity IoT platform, and fuel management analytics.
SoftServe
Team Size: 10,000+ employees
Min. Project Size: $50,000+
Delivery Record: 20,000+ customer projects
Energy Sector Results: 45,000 barrels per month added for Vital Energy
Core energy software development capabilities
- Digital twins and infrastructure monitoring for grids
- Demand forecasting and automated load balancing
- ML models for vegetation risk
- Emission data management
- Asset integrity management
SoftServe has built software since 1993 and holds AWS Energy Competency status with 500+ AWS certified resources. Partnerships include AWS Premier Tier, Premier Google Cloud Services, and Microsoft Solutions Partner status, alongside ISO/IEC 27001:2022, ISO/IEC 27701:2019, and SOC 2 Type 2.
Selected energy projects
- For Vital Energy, an AI-driven gas lift optimization system on AWS added 45,000 barrels per month to production.
Sigma Software
Team Size: 5,000+ employees across Sigma Group
Min. Project Size: $50,000+
Delivery Record: IT services since 2002 across 21 countries
Energy Sector Results: Processing time cut from hours to minutes for ESMIA Consultants
Core energy software development capabilities
- Consumption accounting and billing
- Reports and forecasts
- Resource and asset management
- Predictive maintenance for energy assets
- Business intelligence reporting
Sigma Software has provided IT services since 2002 and holds AWS Advanced Tier and Microsoft AI Cloud Partner status. The published energy stack includes Microsoft Azure, Oracle, IBM Maximo, and QlikView, with ISO/IEC 27001 certification in place since 2018.
Selected energy projects
- For Fortum, an energy group supplying electricity, heat, and cooling, the team built energy consumption tracking and forecasting capabilities over a year-long engagement.
- A 4-month data management project for ESMIA Consultants on Azure cut processing time from hours to minutes across dozens of millions of records.
Softeq
Team Size: 200+ engineers, consultants, and technology professionals
Min. Project Size: $50,000+
Delivery Record: Software delivery since 1997, Net Promoter Score of 75
Energy Sector Results: Silver Stevie Award for a drone oil rig inspection solution
Core energy software development capabilities
- Smart grid functions
- Energy and renewables forecasting
- IoT devices and digital twins
- Predictive maintenance
- Water quality monitoring and HVAC control
Softeq was founded in 1997 for a client base of 80% enterprises and 20% mid-market firms and funded startups. Certifications span ISO 27001:2022, ISO 9001:2015, and ISO 13485:2016, and partnerships cover AWS plus hardware makers Qualcomm, NXP, and Nordic.
Selected energy projects
- Client work includes a thermostat and air-quality device management suite for Daikin.
- For Sky-Futures, the team delivered a drone-enabled oil rig inspection solution that won a Silver Stevie Award as Energy Industry Innovation of the Year in 2017.
What an Energy Data Platform Budget Covers
A lower or higher total does not always mean a different level of value. Vendors may simply make different assumptions about the factors that affect the project cost. Before comparing the totals, look at what each proposal includes for the following areas:
| Budget driver | What it changes |
|---|---|
| Number of Data Sources | Each SCADA historian, meter head-end, or market feed adds connectors, mapping, and testing work. |
| Data Latency | Real-time streaming for control-room use costs more to build and run than hourly or daily batch loads. |
| Forecasting Scope | Every model for load, solar output, or price needs training data, backtesting, and a retraining schedule. |
| Security and Compliance | OT network separation, audit logging, and regulatory reporting add design and review time. |
| Post-Launch Support | Monitoring, retraining, and on-call coverage set the running cost after go-live. |
Questions to Put to a Vendor Before You Sign
A proposal tells you what a vendor plans to deliver, while their answers can give you a better sense of how they work. Asking each shortlisted company the same questions also makes it easier to compare their approaches. Here are 5 questions to include in your request for proposal:
- Data Ownership. Confirm that your team owns the code, pipelines, and models at exit, with full access to the cloud accounts from day 1.
- Source Validation. Request a written description of how the vendor detects frozen sensors, missing intervals, and timestamp errors before data reaches your forecasts.
- Forecast Acceptance. Agree on the error metric the vendor commits to, the backtesting method, and the remedy when your forecast misses that figure.
- OT Security. Check how data leaves your control systems and whether the design leaves any inbound path to SCADA.
- Support Terms. Clarify which monitoring and retraining hours your contract includes after launch, and how the vendor prices new data sources.
Conclusion
An energy data platform sits between field equipment and the decisions that run a plant or a grid. When a vendor scopes it loosely, gaps in source coverage, validation, or support surface after launch, and your team pays for the rework out of the operating budget.
A week spent comparing companies’ answers costs far less than rebuilding pipelines your operators already depend on. You can use the list of top companies building energy data platforms and questions in this guide to build a shortlist. Then send each vendor the same requirements and questions. Compare what they include in the scope, how they handle data ownership and validation, and what support they provide after launch.
