Decision Intelligence

Decision systems for food and commodity markets.

Plutus IQ combines research, data engineering, production forecasting, and scenario analytics to help producers, investors, and commercial teams act before the market moves — powered by the Plutus IQ Scenario Engine.

Plutus IQ Scenario Engine

Inside the System

How data becomes a decision

Data Inputs
Production volumes Trade flows Pricing signals
Models
Forecasting engines Supply-demand balance Calibrated outputs
Scenario Layer
Stress testing Alternative paths Probability ranges
Decision Output
Decision briefs Commercial signals Scenario summaries

This is not a dashboard. It is a structured decision system.

What We Do

From raw data to calibrated action.

We build structured intelligence pipelines for food and commodity markets—integrating public and proprietary data sources, engineering forecasting models, and delivering scenario-ready briefs that support decisions at every level of the organization. All outputs are powered by the Plutus IQ Scenario Engine, our internal system for integrating data, forecasting outcomes, and generating decision-ready scenarios.

01
Data
Public & proprietary sources, structured
02
Models
Forecasting & supply-demand models
03
Scenarios
Multiple futures, stress-tested
04
Decisions
Executive-grade decision briefs
Our Focus

Plutus IQ builds decision systems for food, commodity, and supply-chain markets.

We integrate production data, trade flows, pricing signals, and market research into analytical systems that support procurement, investment, and operational decisions—before conditions shift.

Designed For

Who This Is For

Producers & Operators
Managing production cycles, yield forecasts, and forward contracting decisions in aquaculture and food supply chains.
Commercial Teams
Responsible for pricing, contracts, and commercial planning cycles. Applied where procurement decisions carry material risk.
Traders & Intermediaries
Exposed to supply-demand dislocations and requiring structured intelligence to act ahead of market shifts.
Institutional Investors
Allocating capital across food systems and requiring calibrated scenario analysis before commitment.
Use Cases

Six decision systems. All commercially oriented.

Aquaculture Analytics

Production Forecasting

Know how much will reach the market—and when—before processors and buyers do.

Decision being made
  • When to lock in forward supply contracts
  • How to adjust stocking strategy for next season
  • Where biological constraints will cap volume growth
Inputs used
  • Biological cycles, stocking densities, and survival rate data
  • Farm-level production reports and regional harvest estimates
  • Environmental variables and operational stress factors
Output delivered
  • Forward production curves with confidence intervals
  • Capacity constraint signals 60–90 days in advance
  • Scenario-adjusted volume forecasts by region
A forecasting model, not a data export. Used in forward contracting decisions.
Analítica Acuícola

Proyección de Producción

Anticipa cuánto llegará al mercado—y cuándo—antes que los procesadores y compradores.

Decisión a tomar
  • Cuándo consolidar contratos de suministro anticipado
  • Cómo ajustar la estrategia de siembra para la próxima temporada
  • Dónde las restricciones biológicas limitarán el crecimiento del volumen
Insumos utilizados
  • Ciclos biológicos, densidades de siembra y datos de supervivencia
  • Informes de producción por granja y estimaciones regionales de cosecha
  • Variables ambientales y factores de estrés operacional
Entregable
  • Curvas de producción futura con intervalos de confianza
  • Señales de restricción de capacidad con 60–90 días de anticipación
  • Proyecciones de volumen ajustadas por escenario y región
Un modelo de proyección, no una exportación de datos. Aplicado a decisiones de contratación anticipada.
PRODUCTION VS DEMAND Inflection point Supply Demand Q1 Q2 Q3 Q4 Q5
Market Intelligence

Supply-Demand Balance

See where supply and demand diverge across corridors—before the price reflects it.

Decision being made
  • Whether to hold or release inventory given forward supply conditions
  • How to position commercially across export markets
  • Which trade corridors are tightening or softening
Inputs used
  • Trade flow data across major aquaculture export corridors
  • Pricing indices, logistics costs, and tariff schedules
  • Upstream production signals and harvest calendar data
Output delivered
  • Supply-demand balance model updated on a rolling basis
  • Early-warning signals on emerging imbalances by corridor
  • Scenario-adjusted forward balance projections
A balance model, not a price index. Built for positioning decisions, not reporting.
Inteligencia de Mercado

Balance de Oferta y Demanda

Identifica dónde la oferta y la demanda divergen por corredor—antes de que el precio lo refleje.

Decisión a tomar
  • Si retener o liberar inventario según las condiciones futuras de oferta
  • Cómo posicionarse comercialmente en los mercados de exportación
  • Qué corredores comerciales se están tensionando o suavizando
Insumos utilizados
  • Datos de flujos comerciales en principales corredores de exportación acuícola
  • Índices de precios, costos logísticos y aranceles
  • Señales de producción upstream y datos de calendarios de cosecha
Entregable
  • Modelo de balance oferta-demanda actualizado de forma continua
  • Señales de alerta temprana sobre desequilibrios emergentes por corredor
  • Proyecciones de balance futuro ajustadas por escenario
Un modelo de balance, no un índice de precios. Diseñado para decisiones de posicionamiento, no de reporte.
GLOBAL TRADE FLOWS Americas Exporter Europe Importer Asia Mixed MEA Emerging Early signal Dislocation detected Primary flow Emerging
Market Intelligence

Market Dislocation Monitoring

Detect structural breaks in supply-demand before they produce price shocks or shortages.

Decision being made
  • When to accelerate or delay procurement ahead of tightening supply
  • How to reprice contracts given shifting market structure
Inputs used
  • Production cycle data linked to conversion and yield ratios
  • Regional harvest calendars and stocking behavior patterns
  • Demand-side indicators: channel data, consumption indices, import volumes
Output delivered
  • Dislocation probability scores by market and time horizon
  • Forward demand projections with scenario-adjusted ranges
  • Decision brief: act now vs. monitor vs. wait
Structural analysis, not volatility tracking. For decisions that can’t wait for confirmation.
Inteligencia de Mercado

Monitoreo de Dislocaciones de Mercado

Detecta rupturas estructurales en la oferta-demanda antes de que generen shocks de precios o desabasto.

Decisión a tomar
  • Cuándo acelerar o posponer compras ante una oferta que se contrae
  • Cómo repreciar contratos ante un cambio estructural en el mercado
Insumos utilizados
  • Datos de ciclos productivos vinculados a ratios de conversión y rendimiento
  • Calendarios regionales de cosecha y patrones de comportamiento en siembra
  • Indicadores de demanda: datos de canal, índices de consumo, volúmenes de importación
Entregable
  • Puntuaciones de probabilidad de dislocación por mercado y horizonte temporal
  • Proyecciones de demanda futura con rangos ajustados por escenario
  • Informe de decisión: actuar ahora / monitorear / esperar
Análisis estructural, no seguimiento de volatilidad. Para decisiones que no pueden esperar confirmación.
PRODUCTION DEMAND SIGNAL Biological cycles Stocking strategy Conversion ratios Regional patterns SIMULATE Forecast Today Horizon
Data Engineering

Data Infrastructure for Decision Teams

Build the data foundation that makes every other analysis faster, cleaner, and trustworthy.

Decision being made
  • Which data sources to trust when inputs conflict
  • How to establish a single source of truth for commercial reporting
Inputs used
  • Operational reports, trade databases, and pricing feeds
  • Public statistics (FAO, customs, national bodies) and proprietary datasets
  • Internal ERP and logistics data normalized to a common schema
Output delivered
  • Structured data pipelines with validated, audit-ready outputs
  • Integrated data layer accessible across teams and systems
  • Data quality reports and source-reconciliation documentation
Infrastructure for decision support. The foundation every analytical system depends on.
Ingeniería de Datos

Infraestructura de Datos para Equipos Decisores

Construye la base de datos que hace que todo análisis posterior sea más rápido, limpio y confiable.

Decisión a tomar
  • Qué fuentes de datos usar cuando los insumos presentan conflictos
  • Cómo establecer una única fuente de verdad para reportes comerciales
Insumos utilizados
  • Reportes operacionales, bases de datos comerciales y feeds de precios
  • Estadísticas públicas (FAO, aduanas, organismos nacionales) y datos propietarios
  • Datos internos de ERP y logística normalizados a un esquema común
Entregable
  • Pipelines de datos estructurados con salidas validadas y auditables
  • Capa de datos integrada accesible en todos los equipos y sistemas
  • Reportes de calidad de datos y documentación de reconciliación de fuentes
Infraestructura para soporte a decisiones. La base sobre la que descansa todo sistema analítico.
FRAGMENTED INPUTS DECISION-READY NORMALIZE GAAP schema Metric Period Value Volume Q1 24.8 Volume Q2 27.3 Price Q1 8.12 Price Q2 8.40 Cost Q1 5.10 Cost Q2 5.24 Margin Q1 +3.0 Margin Q2 +3.2
Procurement & Pricing

Procurement & Pricing Strategy

Time procurement decisions using forward-looking price signals, not last week’s index.

Decision being made
  • When and how much to lock in at current pricing
  • Which suppliers and corridors offer the best forward value
Inputs used
  • Cross-validated pricing data from trade, exchange, and proprietary sources
  • Supply pipeline signals: production forecasts, trade flows, and inventory estimates
  • Cost-side inputs: freight rates, FX, and margin structures
Output delivered
  • Price outlook model with base, upside, and downside scenarios
  • Procurement timing signals with confidence-weighted recommendations
  • Supplier and corridor comparison with forward risk scoring
A pricing intelligence system, not a market summary. Built for procurement decisions under uncertainty.
Compras y Precios

Estrategia de Compras y Precios

Programa decisiones de compra con señales de precio prospectivas, no con el índice de la semana pasada.

Decisión a tomar
  • Cuándo y cuánto fijar al precio actual
  • Qué proveedores y corredores ofrecen el mejor valor a futuro
Insumos utilizados
  • Datos de precios validados cruzados de fuentes comerciales, bursátiles y propietarias
  • Señales del pipeline de oferta: proyecciones de producción, flujos comerciales e inventarios
  • Insumos de costo: fletes, tipo de cambio y estructuras de margen
Entregable
  • Modelo de perspectiva de precios con escenarios base, al alza y a la baja
  • Señales de calendario de compras con recomendaciones ponderadas por confianza
  • Comparación de proveedores y corredores con puntuación de riesgo prospectivo
Un sistema de inteligencia de precios, no un resumen de mercado. Diseñado para decisiones de compra bajo incertidumbre.
SOURCES PLUTUS IQ SIGNAL Operational Pricing Trade flows Macro Satellite Regulatory Plutus iQ Intelligence SIGNAL
Executive Planning

Scenario Planning for Executives

Enter the boardroom with three scenarios, explicit assumptions, and a recommended path—not a slide of data.

Decision being made
  • Which strategic direction to pursue given market uncertainty
  • How to allocate capital across competing investments
Inputs used
  • Market structure variables: supply, pricing, trade, and regulatory drivers
  • Internal financials, capacity constraints, and risk tolerances
  • Macroeconomic and policy assumptions by geography
Output delivered
  • Three-scenario decision brief with bear, base, and upside paths
  • Sensitivity analysis on the variables that matter most
  • Recommended action with explicit assumptions and trigger conditions
A scenario brief, not a strategy deck. Designed for executive decisions under uncertainty.
Planificación Ejecutiva

Planeación de Escenarios para Ejecutivos

Llega al directorio con tres escenarios, supuestos explícitos y un camino recomendado—no con una presentación de datos.

Decisión a tomar
  • Qué dirección estratégica seguir ante la incertidumbre del mercado
  • Cómo asignar capital entre inversiones que compiten
Insumos utilizados
  • Variables de estructura de mercado: oferta, precios, comercio y regulación
  • Finanzas internas, restricciones de capacidad y tolerancias al riesgo
  • Supuestos macroeconómicos y de política pública por geografía
Entregable
  • Informe de decisión con tres escenarios: pesimista, base y optimista
  • Análisis de sensibilidad sobre las variables de mayor impacto
  • Acción recomendada con supuestos explícitos y condiciones detonantes
Un informe de escenarios, no una presentación estratégica. Diseñado para decisiones ejecutivas bajo incertidumbre.
INPUTS DRIVERS SCENARIOS DECISION 92% Data Driver A Driver B Driver C S1 S2 S3 ✓ S4 S5 S6 Decision Optimal path Confidence · 92%
The System

The Plutus IQ Scenario Engine integrates fragmented datasets, builds calibrated forecasting models, and generates multiple forward scenarios. It is designed to support real commercial decisions—not theoretical analysis. Applied to real production systems and commercial planning cycles.

Methodology

Four disciplines. One integrated system.

01
Research
Sector-specific research covering aquaculture biology, food supply chains, trade flows, and regulatory environments—synthesized into structured intelligence.
02
ƒ(x)
Modeling
Production forecasting models, supply-demand engines, and pricing frameworks—built to reflect the actual mechanics of food and commodity markets. Applied to real production systems.
03
Scenario Engines
Multi-path scenario systems that stress-test strategic assumptions across market conditions, policy changes, and supply disruptions.
04
42%
Decision Briefs
Executive-grade outputs—structured briefings, interactive dashboards, and scenario summaries designed to drive decisions, not inform them.
Why It Works

Built to support decisions, not describe situations.

01

Decision-first design

Every engagement starts by defining the specific decision—then working backwards through the data, models, and scenarios required to support it. Designed for operational environments, not theoretical analysis.

02

Market-native models

Models are built to reflect the biological, logistical, and commercial realities of food and commodity markets—not adapted from generic frameworks.

03

Integrated data pipelines

We connect public datasets (FAO, customs, trade statistics), proprietary research, and client-side data into clean, validated pipelines that underpin every model.

04

Executive output discipline

Analysis is delivered as structured decision briefs—not raw data exports. Every output specifies the decision it supports, the inputs it relied on, and the scenarios it tested.

The Plutus IQ Scenario Engine
Proprietary System

From data ingestion to executive decision brief.

Every Plutus IQ engagement runs on a structured analytical pipeline: validated data, calibrated models, scenario engines, and a decision-ready output. No black boxes. No generic dashboards. Supports commercial planning cycles across the full decision horizon.

DATA LAYER MODELS SCENARIO ENGINE DECISION BRIEF Trade Databases Harvest Reports Pricing Indices Satellite / IoT Regulatory Data Client Proprietary Production Forecasting Model Supply-Demand Balance Engine Pricing & Margin Attribution Model Scenario Engine Downside path Base case Upside path Decision Brief Recommended path & conditions Scenario comparison table Key assumptions & sensitivities Executive-grade output
Outcomes

What the system delivers.

Across food and commodity markets, Plutus IQ clients gain earlier visibility, tighter analysis, and sharper execution across production, procurement, and market positioning.

Optimize Production Decisions

  • Early detection of biological and operational inflection points
  • Capacity planning grounded in forward-looking harvest and yield signals
  • Production decisions that are decision-ready before risk compounds

Anticipate Market Shifts

  • Early visibility into trade flow and pricing dislocations
  • Forward-looking read on tariff, policy, and corridor shifts
  • Commercial positioning that is decision-ready when markets move

Plan Demand With Precision

  • Early alignment of supply with shifting demand signals
  • Forward-looking view of category, geography, and channel dynamics
  • Procurement and allocation plans that are decision-ready, not reactive

Build Decision-Ready Foundations

  • Early resolution of fragmented, inconsistent data sources
  • Forward-looking data architecture that scales with the business
  • Trusted datasets that are decision-ready across functions

Focus Attention Where It Matters

  • Early detection of weak signals hidden in noise
  • Forward-looking prioritization of what deserves leadership time
  • Insights that are decision-ready — not just informative

Act With Confidence Under Uncertainty

  • Early stress-testing of strategic options before commitment
  • Forward-looking scenario paths with explicit assumptions
  • Choices that are decision-ready with shared team conviction

Optimiza Decisiones de Producción

  • Detección temprana de puntos de inflexión biológicos y operacionales
  • Planificación de capacidad basada en señales prospectivas de cosecha y rendimiento
  • Decisiones de producción listas para actuar antes de que el riesgo se acumule

Anticipa Movimientos del Mercado

  • Visibilidad temprana en dislocaciones de flujos comerciales y precios
  • Lectura prospectiva de cambios arancelarios, regulatorios y de corredor
  • Posicionamiento comercial listo para actuar cuando los mercados se mueven

Planifica la Demanda con Precisión

  • Alineación temprana de la oferta con señales de demanda cambiantes
  • Visión prospectiva de dinámicas por categoría, geografía y canal
  • Planes de compra y asignación listos para actuar, no reactivos

Construye Bases Listas para Decidir

  • Resolución temprana de fuentes de datos fragmentadas e inconsistentes
  • Arquitectura de datos prospectiva que escala con el negocio
  • Datos confiables y listos para decisión en todas las funciones

Enfoca la Atención Donde Importa

  • Detección temprana de señales débiles ocultas en el ruido
  • Priorización prospectiva de lo que merece tiempo del liderazgo
  • Insights listos para actuar — no solo informativos

Actúa con Confianza ante la Incertidumbre

  • Pruebas de estrés tempranas de opciones estratégicas antes de comprometerse
  • Rutas de escenario prospectivas con supuestos explícitos
  • Decisiones listas para actuar con convicción compartida en el equipo

Whether the focus is aquaculture production cycles, global trade flows, or executive investment decisions, clients consistently report better-timed and better-supported decisions at every level of their organization.

Decision intelligence for producers, investors, and commercial teams in food and commodity markets.

About Plutus IQ

Built for the markets where data is messy and decisions are costly.

Founded in 2023, Plutus IQ was created to address a structural gap in food and commodity markets: critical decisions were being made with incomplete, lagging, or misinterpreted data.

We built a system to change that—integrating production intelligence, trade flows, and market signals into decision-ready outputs used by producers, investors, and commercial teams.

Our work is applied to real production systems and commercial environments. Every model is built around the specific mechanics of the market it serves—not adapted from generic frameworks or theoretical constructs.

Fundada en 2023, Plutus IQ nació para atender una brecha estructural en los mercados de alimentos y materias primas: decisiones críticas se tomaban con datos incompletos, rezagados o mal interpretados.

Construimos un sistema para cambiar eso—integrando inteligencia de producción, flujos comerciales y señales de mercado en entregables listos para la decisión, utilizados por productores, inversionistas y equipos comerciales.

Nuestro trabajo se aplica a sistemas de producción reales y entornos comerciales concretos. Cada modelo se construye en torno a las mecánicas específicas del mercado que sirve—no adaptado de marcos genéricos ni constructos teóricos.

2023
Year founded
3
Core disciplines: research, modeling & scenario analytics
6+
Markets served: aquaculture, food supply chains, commodities
 
We work with producers, commercial teams, and investors who need precision analytics—not generic market reports.
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