KlaredMaps

Klared Maps is a map-based intelligence platform covering startup ecosystems, research networks, alumni flows, and funding activity — organised by institution, geography, and sector. Each map is a curated lens on a specific innovation context: a university, a national ecosystem, or a cross-institutional cluster.

The Observatory is designed to surface connections that are difficult to see in traditional directories or databases — who came from where, what they built, where the capital went, and how ecosystems evolve over time.

Maps are constructed from a combination of publicly available data sources including institutional records, company registries, alumni networks, and funding databases. Data is curated and structured by the Klared team, with maps reviewed for accuracy before publication.

Each map represents a snapshot of a living ecosystem. Entities shown — companies, researchers, investors — are linked to source data where available, and the map is updated as the ecosystem changes. All connections shown reflect publicly observable relationships.

What maps show

• —Spin-out companies and their founding teams
• —Alumni pathways from institution to venture
• —Funding rounds associated with institutional origin
• —Research groups and their commercial adjacencies
• —Geographic clustering of innovation activity

What maps do not show

• —Private or confidential company information
• —Individual personal data beyond public professional profiles
• —Predictive or speculative relationships not grounded in observable data
• —Real-time financial data or live market signals

Maps are network visualisations — nodes represent entities (companies, researchers, institutions) and edges represent relationships (founding, funding, collaboration). Node size typically reflects activity volume or connection density within the ecosystem; colour indicates category or sector.

Clusters indicate areas of concentrated activity. Isolated nodes are entities with fewer mapped connections — this does not imply they are less significant, but that fewer public linkages have been identified at the time of map publication.

Maps should be read as analytical aids, not authoritative databases. They are most useful for pattern recognition, hypothesis formation, and strategic orientation. We recommend cross-referencing with primary sources for decision-critical use cases.

The Observatory currently covers startup ecosystems at selected European universities and national innovation systems. Research, infrastructure, spin-off, knowledge area, and investor maps are in active development.

Coverage is prioritised based on ecosystem significance, data availability, and user demand. If you represent an institution and want to discuss coverage or data partnerships, see our contact page.

We maintain data quality through regular reviews and incorporate corrections reported by users and institutions. If you identify an inaccuracy — a missing company, incorrect attribution, or outdated connection — please contact us.

Entities may request to be reviewed or contextualised. We do not remove factually accurate, publicly observable information, but we will investigate and correct genuine errors.

Universities, research institutes, and innovation agencies can request custom coverage, white-label map access, or data licensing arrangements. Business plan subscribers receive early access to new maps and the ability to export data for internal use.