Workflow
A sequence of activities: it acquires data, checks it, performs operations and preserves the result.
Example: every morning it reads weather data and prepares an updated card.
Start from your goal
You do not need to know AI, RPA or machine learning first.
Choose the problem closest to yours. From there you can see concrete examples, understand the method or get in touch.
Industry
Understand a process, quality variable or anomaly
Soft sensors, anomaly detection, utilities and process energy.
Explore →AutomationReduce repetitive digital work
Data collection, checks, reports, orchestration and publishing.
Explore →Data and forecastsTurn public sources into verifiable indicators
Forecasts, scenarios, time series and error tracking.
Explore →ConversationAlready have a concrete problem?
Describe it in a few lines without sending confidential information.
Contact →Three ideas in plain language
What the system does, without jargon.
Automation and RPA
Software repeats calculations or digital activities — downloading files, comparing values, updating registers — without manual repetition.
Forecasting and classification
A model may estimate a value or probability, or assign a case to a category. The result supports judgement but does not decide on its own.
A complete example
From source to result, step by step.
- 1 · CollectionThe system acquires values from public sources.
- 2 · ChecksIt verifies freshness, format, missing values and obvious anomalies.
- 3 · CalculationIt combines data and calculates changes or indicators.
- 4 · Model, where usefulIt produces an estimate or classification without presenting it as certainty.
- 5 · Final gateIf data are insufficient, the workflow stops or requests review.
- 6 · Output and traceIt prepares a chart, map or report and preserves sources, date, version and errors.
The system in one view
Active workflows, four families. Every tile opens the project page.
Energy and markets
Industry and process
Geoscience and geospatial
Energy and marketsIndustry and processGeoscience and geospatialClimate, macro and outreach
Examples developed in the laboratory
Three different uses of data, automation and AI.
The homepage shows a selection. The full portfolio documents sources, controls, results and limitations for every workflow.
WF-19 · Communication · community · automation
Lab Intelligence Community
Bilingual editorial workflow that introduces the lab, rotates project spotlights, explains methods and controls, and asks community questions without inventing scientific results.
WF-20 · Mobility · public service · forecasting
The Public Service Run
Educational workflow that compares traffic-aware routes and departure windows for public-service commuting scenarios, combining routing, weather, historical calibration, Random Forest after warm-up and P10/P50/P90 uncertainty.
WF-21 · Maritime mobility · operability · forecasting
Port Operability · NYC Ferry
Research workflow that tries to anticipate, 1 to 5 days ahead, when weather and marine conditions may make operations critical at the NYC Ferry landings of Rockaway and Bay Ridge. It combines GFS and GEFS-Wave, LOW/WATCH/HIGH states, fail-closed controls and later verification against official NYC Ferry evidence.
Guided path
Choose how far to explore.
Start with essential terms and continue, when useful, towards method, architecture and validation.
Why verifiable
The result is not presented on its own.
Repeatable
Activities are defined and can be executed through the same sequence.
Inspectable
Sources, checks, version and limitations remain visible.
Prudent
Insufficient data, uncertainty and known failure conditions are not hidden.
Have a concrete case to discuss?
A few lines about the problem and expected result are enough. The first contact can remain entirely non-confidential.