Map regional ecosystems
Identify firms, productive-chain phases, institutions, infrastructure, labour concentrations and the relationships that make a regional economy work.
Aeon Bridge connects geographic, socioeconomic, corporate, employment, trade, environmental and institutional data into a living context for policy design, budget prioritisation and regional ecosystem coordination.
A territory is simultaneously people, firms, jobs, income, infrastructure, trade, institutions, regulation, climate, energy and political priorities. We structure those layers as one explorable context so public managers can compare places, expose trade-offs, target interventions and monitor what changes after a decision.
Identify firms, productive-chain phases, institutions, infrastructure, labour concentrations and the relationships that make a regional economy work.
Connect a policy objective to the territories, actors, bottlenecks and value-chain stages it is intended to affect before defining the instrument.
Compare territories and allocation criteria using socioeconomic indicators, productive capacity, exposure and policy objectives. The system supports prioritisation; the public authority makes the budget decision.
Make companies, associations, regulators, universities, public agencies and influential individuals visible in the same ecosystem map.
Track indicators, signals, regulation, trade, technology, climate and industry change against the assumptions behind a policy.
Turn a complex context into an executive view in which claims remain connected to source, territory, date and supporting evidence.
Compare productive systems, trade exposure, labour specialisation, strategic technologies and policy signals across regions.
Map clusters, corridors, municipalities, institutions and value chains to support development, infrastructure and investment agendas.
Model functional territories that cross municipal boundaries and reveal where economic activity, labour, logistics and institutions actually connect.
Connect local establishments, employment, sector mix, socioeconomic indicators, company networks and external dependencies to local priorities.
The modules below are live production services and are continuously updated. Together they provide geographic, socioeconomic, organisational, labour, trade, energy and environmental depth for territorial and ecosystem intelligence.
IBGE geographic reference data, municipalities and districts, demographic and economic indicators, spatial queries and PostGIS location services.
CNPJ validation and lookup, company-registration data, legal-entity validation, regulatory context and Receita Federal integration for resolving organisations against official records.
RAIS 2024 industrial clusters with CNAE hierarchy, employment and establishment Location Quotients, including productive-chain shortcuts.
Employment and establishment Location Quotients by state, city, region and national level, recalculated correctly for each aggregation level.
Comex Stat / MDIC flows by SH4 product, fiscal municipality, state, country and month, with time series and CNAE-to-SH4 resolution through CLARA.
Open ONS and ANP energy data plus INPE fire events and MapBiomas land alerts for territorial exposure and infrastructure context.
Specialised Brazilian data services resolve geography, entities, employment, industry, trade, energy and territory.
A workspace for context building, ecosystem maps, value chains, networks, inquiry and evidence.
Longitudinal signal and trend analysis connects external change to industries, technologies, actors and evidence.
The workflow is designed to keep interpretation traceable. Registry and statistical data anchor the context; models can assist exploration and hypothesis generation, but source, uncertainty and conflicting evidence remain visible.
The value is not in any single map. It is in preserving the thread between what a productive stage does, which organisations perform it, where they concentrate, how the territory trades and which external forces can change the picture.
Productive chain → stage → companies & clusters → trade exposure → external context
Start with the system, not the company list.
Inspect the productive chain as connected stages with CNAE/NCM mappings, actors and institutional dependencies. A stage becomes the entry point for territorial analysis instead of a decorative diagram.
Open live surface ↗Choose an industry and states, then inspect establishments by value-chain phase over municipal meshes.
Open demonstrator →Read the same productive system as process graph, structured model, 3D scene and company geography.
Open demonstrator →Resolve ownership networks and establishment maps from a company identifier with configurable depth.
Open demonstrator →Connect municipalities, countries, product chapters and signals when pairwise networks are too simple.
Open demonstrator →Structured socioeconomic, productive and institutional context for the geography in scope.
Organisations, institutions, networks, productive-chain phases and key relationships.
Explicit objectives, assumptions, target territories, intervention hypotheses and trade-offs.
Comparable territorial indicators and criteria to support budget and programme prioritisation.
Signals, indicators and evidence tied back to the assumptions behind the intervention.
A continuously updateable view for managers and regional leadership, with provenance preserved.
We can frame the geography, policy objective, actors, evidence and decision criteria, then determine which existing NODA, POLIS and MINERVA components should be assembled for the operating model.
Current public-sector signals, trends, tensions, organisations and source provenance remain part of the page so the proposition can be inspected against a running intelligence corpus.
Share the context and the problem. The concierge will structure the handoff and open WhatsApp ready to continue the conversation.