Data, AI and modelling services
SSS Techs helps organisations investigate difficult data, improve forecasting, validate important models and build analytical tools that teams can use repeatedly.
Core services
Each service can stand alone or form part of a wider engagement. The starting point depends on the business problem and the evidence already available.
Understand performance, investigate anomalies and turn fragmented information into evidence for action.
Discuss a data problemEstimate future outcomes, compare scenarios and make uncertainty visible.
Discuss a forecasting problemDetermine whether an existing model, calculation, dashboard or AI workflow can be trusted for its intended purpose.
Discuss an independent reviewTurn validated analysis into repeatable systems that teams can use without rebuilding the work each time.
Discuss an analytical toolSpecialist analytical domains
Our core services are sector-flexible, while selected domains benefit from deeper mathematical, scientific and commercial expertise.
Renewable forecasting, building performance, consumption analysis, revenue scenarios and operational risk.
Calibration, volatility modelling, scenario analysis, model risk and quantitative decision support.
Resource allocation, dispatch, portfolio choices, constraints and trade-off analysis.
Numerical methods, simulation, dynamical systems and modernisation of research-grade computational workflows.
Ways to begin
A focused review or prototype is often more useful than committing immediately to a large implementation.
Organisations with useful data but no clear analytical direction or reliable reporting structure.
Decision framing, data review, reporting assessment and identification of analytical gaps.
A practical assessment of opportunities, risks and recommended next steps.
An existing model, dashboard, calculation or AI workflow already influencing decisions.
Assumption review, reproducibility checks, baseline comparison, sensitivity analysis and validation-risk assessment.
A structured audit report, identified risks and a prioritised remediation plan.
A promising analytical idea that needs to be tested before wider investment.
Focused data preparation, baseline development, prototype modelling and initial validation.
A working prototype, evidence of feasibility and a clear implementation recommendation.
A validated analytical need requiring a repeatable dashboard, workflow, API or internal tool.
Solution design, model development, validation, implementation, documentation and handover.
A maintainable analytical system designed for the intended users and decision process.
Delivery process
Clarify the decision, users, available data and current process.
Establish baselines, explore the evidence and develop the analytical approach.
Test assumptions, performance, sensitivity, edge cases and limitations.
Create the report, model, dashboard, workflow or implementation pathway.
Relevant work
The interfaces below are illustrative representations of the kinds of analytical systems and outputs we develop.
Illustrative analytical interface
Operational diagnostics, heating performance, consumption analysis and management-ready reporting.
View related work
Illustrative analytical interface
Controlled workflows that connect data ingestion, validation, analysis and stakeholder-ready output.
View related work
Illustrative analytical interface
Scenario comparison, uncertainty ranges, downside-risk analysis and optimisation support.
View related workNot sure which service fits?
You do not need to decide whether the answer is analysis, validation, forecasting, optimisation or a custom tool. We will help identify the most appropriate starting point.
