Plan labour corridors before shortages become crises.
ForeSkill helps institutions forecast occupational shortages, compare skills across countries, and design evidence-based labour mobility corridors — with data that is traceable to its source.
The first European system for forecasting occupational mismatch applied to international labour mobility.
Co-developed by IZILab and Pathways International — calibrated in the Turin and Piedmont institutional context.
The cost of acting late.
Labour markets across Europe are tightening just as migration governance is being rewritten. The cost of acting late is measured in unfilled jobs and improvised corridors.
- An ageing workforce and a shrinking working-age population across Europe.
- Persistent shortages in care, construction, ICT and manufacturing.
- Fragmented qualification-recognition systems that leave real skills unread.
- Migration governance increasingly tied to skills and labour needs.
- Growing demand for legal, planned, evidence-based mobility pathways.
Mismatch is not one thing — it is four gaps.
Most tools report the imbalance between labour demand and supply as a single number. ForeSkill separates four structurally different gaps — each with a different cause and a different response — and reads all four at once.
Quantity gap
Not enough people. There aren't enough profiles to meet demand.
Read with predictive models on historical time series.
quantitative mismatch
Skill gap
People exist, skills don't match. The profiles are there, but their competences don't fit the roles.
Read with semantic analysis of job postings and CVs.
qualitative mismatch
Mobility gap
People exist, but in the wrong place. The talent is available in another territory, not connected to local demand.
Read by mapping flows.
mobility mismatch
Recognition gap
Skills exist, but institutions can't read them. Real competences stay invisible without certification.
Resolved by aligning ESCO and EQF frameworks.
recognition mismatch
What you can do with ForeSkill.
Concretely, partners use ForeSkill to:
- 01
Identify the provinces and sectors facing future labour shortages.
- 02
Distinguish replacement demand from expansion demand.
- 03
Compare the skills supply in origin countries with demand in destination territories.
- 04
Assess qualification-recognition barriers using ESCO and EQF.
- 05
Design training, pre-departure and qualification pathways.
- 06
Monitor corridors over time as demand shifts.
From institutional data to decisions.
ForeSkill turns institutional data into decisions. It queries a curated data lake — kept up to date and integrated with qualitative field research and foresight analysis — and returns answers grounded in real data.
More than 18 integrated source families, and growing
- Labour & occupational demandExcelsior, GEIH (DANE)
- Demographic & economicISTAT, Eurostat
- Training & educationMIUR, MUR
- Migration & social securityINPS, entry and residence records
- System benchmarksBA, BIBB, IAB (Germany), UBOS (Uganda)
Every number is source-traceable. Every recommendation is auditable.
A built-in validation layer checks each figure against its source before it reaches you — outputs that don't pass the quality gate are rejected and regenerated. Results are decision-support insights grounded in data, not black-box predictions.
Every answer carries the tools and sources behind it.
The method, in seven steps.
Not a chatbot over a folder of PDFs — a structured analytical pipeline:
- 1Data ingestion and harmonisation across institutional sources.
- 2Occupational taxonomy mapping (ESCO and national frameworks referenced to EQF).
- 3Time-series forecasting of occupational demand.
- 4Semantic matching of skills to demand.
- 5Corridor feasibility scoring between origin and destination.
- 6Qualification and recognition analysis.
- 7A source-traceable, trilingual (IT / EN / ES) agent interface.
Under the hood, ForeSkill runs on IZILab's Chorema Intelligence Platform.
The operational geographies.
ForeSkill is operational across four geographic contexts with distinct roles: Piedmont → Italy as the destination context, Colombia and Uganda as countries of origin, and Germany as a system benchmark. This configuration reflects the very logic of the platform, which reads the labour market as a system of flows between territories.
Piedmont → Italy
Destination context (calibration)Provincial granularity, 500+ documents processed, 2020–2025 time series with projections to 2030. The context on which the architecture was built and validated, and already extended across the whole of Italy.
Colombia
Country of origin (first international expansion)The most complete survey of the Colombian labour market (GEIH 2025) — 12-month coverage, 33 departments, urban/rural disaggregation, ISIC Rev. 4 sector analysis. The GEIH Intelligence module enables microdata-based analysis at departmental granularity.
Uganda
Country of origin (in integration)The project's second priority country of origin — analysing available skills and mapping diaspora communities, integrating Ugandan institutional sources (UBOS).
Germany
System benchmarkThe German system of dual training, qualification recognition, and labour-corridor management (BA, BIBB, IAB) is a methodological benchmark for practices transferable across Europe.
Demand-driven today. Transferable to anything.
The four contexts above are what's live today — activated on partner request, not the limit of what ForeSkill can read. The platform covers selected destination and origin countries, and selected occupational domains (for example ICT, manufacturing and construction). The architecture is territory- and profession-agnostic: any origin–destination corridor, and any occupational domain, can be brought online. What we cover next is decided by our partners.
A worked example — the Piedmont–Colombia corridor.
Where will Piedmont need skilled ICT and manufacturing workers between 2025 and 2030, and which Colombia–Italy corridors are most feasible in terms of qualification recognition?
Priority provinces, target occupations, feasible corridors, recognition bottlenecks.
Excelsior, ISTAT, regional employment data, Colombian GEIH 2025, diaspora and social-security indicators.
Demand forecasting by province and sector, ESCO/EQF recognition analysis, corridor feasibility by time horizon.
- Turin: 101,600 ICT positions — 53,600 of them expanding demand (60% of the regional total).
- Cuneo: strong manufacturing, oriented to Industry 4.0.
- Biella, Vercelli, Asti: expanding ICT demand at zero.
- Corridors by horizon — Trade 2025–27 · Manufacturing 2027–30 · ICT 2030–35.
- ~8,000 Colombian residents already in Piedmont.
- Recognition bottleneck — training gaps concentrated on safety certifications and digital-construction competences; Colombian technical qualifications are the most efficient starting point for targeted upskilling.
Design targeted training, focus bilateral-agreement negotiation, engage employers and diaspora organisations.
Asked of a generalist chatbot, the same question returns: "I don't have this data — would you like me to run a search?" — transparent about its limits, but no actionable output.
Why a generalist chatbot can't do this.
| Capability | Claude | ChatGPT | Gemini | ForeSkill |
|---|---|---|---|---|
| Data granularity | No | No | Partial | Yes |
| Expansion vs substitution | No | No | No | Yes |
| Negative intelligence | No | No | No | Yes |
| Corridor time horizons | No | No | No | Yes |
| Diaspora data | No | No | No | Yes |
| Traceable sources | Generic | Good | Uncertain | Curated (18 sources) |
| Hallucination risk | Low | Low–medium | High | Contained |
| Actionability | None | Partial | Apparent | Complete |
The difference is not in the model. It is in the knowledge infrastructure underneath.
Inside the platform.
A research partnership, not a subscription.
ForeSkill is delivered as Knowledge-as-a-Service — KaaS. Beyond software-as-a-service: you don't licence a tool, you commission knowledge. Partners receive analytical outputs — grounded in curated sources and traceable to origin — through a platform that keeps evolving with their questions.
Start with a scoped pilot
A bounded engagement built around one territory or corridor and one or two research questions. You receive the analytical outputs and a configured ForeSkill instance; IZILab handles all implementation.
Grow into a continuous intelligence partnership
Ongoing monitoring, dashboards and agentic analysis, regular source updates, and a co-design roadmap shaped by your priorities.
What you get
- A territorial mismatch report.
- A configured ForeSkill instance with dashboard access.
- A source-traceable, trilingual analytical agent.
- A corridor feasibility analysis.
- A training and qualification-recognition roadmap.
- Policy briefs for institutional stakeholders.
Governance — Your data and every output belong to you. The platform, models and IP stay with IZILab; each partner works in a private, isolated instance.
"You are not buying a finished product — you become part of a shared, evolving cognitive infrastructure."
Get in touch.
Tell us about your territory or corridor, and we'll show you what ForeSkill can read. Your message goes to info@izilab.it.