A product suite led by the commercial GridEdge platform.
SSS GridEdge is the flagship early-access platform. GridRisk and MoneyBuffer UK are product/prototype platforms with clearly stated decision-support and planning boundaries.
Flagship platformEarly access / pilot
SSS GridEdge
Subscription platform / early-access SaaS
Renewable energy analytics, forecasting, and revenue modelling for GB electricity market participants.
Solar and wind asset ownersProject developersRenewable energy fundsProject-finance lenders
Solar, wind, BESS, and biomass asset registration
Probabilistic P10/P50/P90 generation forecasting
GB half-hourly electricity price forecasting
Revenue forecasting with confidence intervals
SSS GridEdge is a decision-support analytics platform for renewable energy forecasting and revenue modelling. Forecasts and scenarios are not guarantees of generation, price, revenue, financing outcome, or operational performance. It is not control software and does not directly control grid assets, renewable assets, building systems, or operational infrastructure unless separately integrated, tested, validated, and governed.
Energy risk prototypeResearch / decision-support prototype
GridRisk
Renewable market-risk and dispatch intelligence prototype
Renewable energy market-risk and dispatch analytics for probabilistic forecasting, scenario comparison, and downside-risk diagnostics.
Renewable asset ownersEnergy analystsStorage operatorsFlexibility teams
Renewable generation uncertainty
24h / 48h / 72h forecasting
Quantile forecasts
Rolling conformal calibration
GridRisk is a decision-support prototype and research-grade analytics platform. It is not live grid-control software, not trading software, and not financial advice.
MoneyBuffer UK is an educational and planning tool only. It is not financial advice, not investment advice, and not FCA-regulated advice. Users should consult a qualified adviser for regulated financial decisions.
Specialist consulting for data, models, dashboards, and validation.
Our consultants help organisations scope analytical decisions, validate assumptions, build technical prototypes, and turn complex models into usable systems.
AI and Machine Learning Consulting
AI consulting UK and machine learning consulting for model design, validation, workflow integration, and applied AI strategy.
Data Science and Predictive Analytics
Data science consultancy for forecasting, classification, anomaly detection, segmentation, and statistical modelling for decision-support systems.
Energy Analytics and Building Performance
Energy analytics platform and building energy analytics support for consumption analysis, performance diagnostics, portfolio benchmarking, and reporting workflows.
Quantitative Finance and Risk Modelling
Quantitative finance modelling and risk modelling consultancy for research-grade scenarios, diagnostics, calibration workflows, and model validation tooling.
Scientific Computing and Mathematical Modelling
Scientific computing services for numerical methods, optimisation, simulation, stochastic modelling, and reproducible research engineering.
Dashboard and Decision-Support Systems
Dashboard development for product dashboards, executive reporting, technical interfaces, and analytics tools that make complex models usable.
SSS GridEdge brings renewable forecasting and revenue modelling into one decision-support workflow.
GridEdge by SSS Techs supports solar and wind asset teams with probabilistic generation forecasts, GB electricity price forecasts, Monte Carlo revenue scenarios, contract modelling, reports, Excel exports, and REST API access.
Merchant, CfD, PPA, ROC, and FiT contract modelling
Monthly operations and lender-pack PDF reports
Research lab
Quantitative modelling capability behind the product suite.
Latent benchmarking and Heston calibration sit under our Research Lab and quantitative modelling capability. They are research and model-validation frameworks, not investment products or trading signals.
Research frameworkResearch project
Latent Performance Benchmarking
Quantitative research framework
Risk-adjusted portfolio benchmarking using latent performance decomposition and stochastic frontier-style diagnostics.
Quant researchersPortfolio analystsAcademic finance researchersModel validation teams
Factor-adjusted performance diagnostics
Latent shortfall modelling
Rolling-window persistence
Ranking stability
Research analytics only. Not investment advice, not a trading signal, and not a recommendation to buy, sell, or hold financial instruments.
Representative technical work, without invented client claims.
These previews show the kinds of product, prototype, and research work our technical team can deliver. They are capability snapshots, not named-client case claims.
Renewable Energy Intelligence / Subscription Analytics
SSS GridEdge
Renewable asset teams often have generation, meter, contract, price, and portfolio data but lack clear uncertainty-aware interpretation and decision-ready reporting.
Clearer renewable asset visibility, faster reporting, and a structured route from raw asset and market data to revenue insight.
Renewable Energy Risk Analytics
GridRisk
Renewable generation and market prices are uncertain, making dispatch and revenue decisions difficult.
Makes dispatch-risk trade-offs and revenue downside easier to inspect.
Financial Resilience Analytics
MoneyBuffer UK
Individuals and small businesses often lack simple visibility over cash buffer, runway, and downside scenarios.
Improves planning clarity.
Building Energy Analytics
Energy Analytics and Heating Diagnostics
Buildings can waste heating energy during unoccupied periods or through inefficient thermal behaviour.
Supports identification of inefficiency and operational improvement opportunities.
A team-based consultancy model for specialist technical delivery.
We use a role-based delivery model instead of invented staff profiles. Our delivery model brings together the technical roles each engagement needs.
Data science lead
Frames the analytical problem, selects modelling approaches, and translates stakeholder goals into measurable technical outputs.
Machine learning engineer
Builds reproducible pipelines, model workflows, validation routines, and deployment-ready engineering foundations.
Dashboard/product engineer
Turns models, metrics, and workflows into usable interfaces for technical and non-technical decision makers.
Quantitative modelling specialist
Supports stochastic modelling, optimisation, calibration, risk diagnostics, and mathematical validation.
Domain consultant
Provides context for energy, finance, operations, or research settings so analytical outputs match real-world decisions.
Technical writer/research analyst
Creates clear documentation, research notes, validation summaries, and stakeholder-ready technical communication.
Why clients work with SSS Techs
Commercial clarity, technical depth, and honest product boundaries.
Our technical team is useful when an organisation needs more than a dashboard mock-up: it needs model logic, validation, documentation, and decision-support workflows that can be trusted.
Consultancy and product thinking together
Our consultants can scope the analytical decision, then our technical team can turn validated logic into dashboards, workflows, and reusable product patterns.
Clear boundaries on maturity and risk
Our delivery model separates research, demonstrators, pilots, and production systems so stakeholders understand what is ready, what is experimental, and what needs validation.
Technical communication for business decisions
We translate model assumptions, uncertainty, diagnostics, and limitations into reporting that technical, commercial, and leadership teams can use.
Scope the decision before building the model
Validate assumptions and communicate limitations
Prototype quickly, then harden only what proves useful
Design dashboards around decisions, not decorative metrics
Keep research, demonstrator, pilot, and production language distinct
Consultation
Discuss a platform, pilot, or technical review.
Our technical team can review your data, clarify the decision workflow, and recommend a practical route from prototype to validated dashboard or production-ready system.
