Governments and public programs
From small municipalities to regional governments and national implementation systems.
- Territorial priorities
- Investment and service monitoring
- Evaluation and public management
Applied intelligence for institutions
NOAM is a Peru-based intelligence and consulting firm. We combine research, data, strategy and digital products for institutions navigating public, territorial and organizational complexity.

1,891
municipal profiles
9,429
visible projects
36
government plans
25
department profiles
What we do
We do not sell isolated technology. We configure evidence, method and product around a decision.
Understand problems, measure results and establish priorities through territorial, institutional, quantitative and qualitative evidence.
02Connect indicators, projects, budgets and services with alerts, ownership and management routines.
03Improve concrete processes with controlled pilots, human oversight, measurable outcomes and responsible governance.
Who we work for
From small municipalities to regional governments and national implementation systems.
For investment, expansion, infrastructure, services, impact and territorial risk decisions.
Open work
Our current public products are published in Spanish and include sources, methods and explicit limitations.
1,891 municipal profiles, maps, investment portfolios and contextual indicators.
Open in SpanishAn executive reading of capacity, resources and institutional variation across local governments.
Open in SpanishAn auditable corpus for exploring 36 government plans and 2,742 operational proposals.
Open in SpanishA practical tool to assess value, readiness, risk and controls before building a pilot.
Open in SpanishHow we work
Define the question, users, constraints and outcome before selecting a method.
Combine public sources, institutional data, fieldwork and domain knowledge.
Translate analysis into a report, map, dashboard, protocol or working system.
Document sources, rules and operating routines so teams can sustain the result.
Our standard
Sources, transformations, assumptions and limitations should be visible. We distinguish observed data, derived indicators, estimates and editorial demonstrations, and we do not invent clients, results or testimonials.