The platform · Access by request

The intelligence layer between the outside world and your decisions.

Mission Grey combines global‑to‑local data, structured knowledge, quantitative and proprietary models, AI and human expertise into continuously updated decision intelligence. This page shows how.

External intelligence

Global to local, macro to micro

External change arrives on four levels.

External intelligence is what sits outside your organization and can still change a decision. One local decision often has to be read through several levels at once.

A nighttime lights map of southern Spain during a regional power blackout: scattered white settlement lights on a black field, with the south coast drawn as a thin pale line
Night lights over southern Spain on the night of the Iberian power blackoutNASA Black Marble, NASA Goddard Space Flight Center
Levels of external contextIllustrative view

01Global

GeopoliticsTradeMacroeconomicsClimateInternational regulationSecurity

02Markets and industries

TechnologyCompetitionInvestmentSupply chainsSector trendsConsumer behavior

03Local

Local regulationPoliticsLawsFinancingCostsDemandPermitsLocal practicesMarket conditions

04Your organization

Private documentsInternal dataExposuresAssumptionsStrategiesPlansExisting decisions

One decision

Built from every level that bears on it.

ReadTop down, one level through the next ScopeSet by the decision, not by the feed

One local investment decision can turn on financing conditions, permits, local politics and the macroeconomic picture behind them. Mission Grey assembles that context around the decision.

Capability walk

Monitor · Analyze · Decide · Act

What the platform does, screen by screen.

Four moments, in the order the work happens: monitor, understand, model, operationalize. One screen each, plus the report the work is circulated as.

01 · MONITOR

What is changing.

Signals collected around the clock: regulation, markets and technology, political developments, supply chains and local conditions, company activity, specialist sources and physical‑world data.

Global monitoring on a live globe with selectable tracking layers for satellites, AIS vessels, news events, reports, natural hazards, military sites, maritime chokepoints and energy infrastructure
The monitoring screen · tracked events and infrastructure on one globe, layer by layer· shown as a detail

INPUT THE WORLDOUTPUT SIGNAL

02 · ANALYZE

What it means for you.

Mission Grey connects a signal to your exposure: the entities involved, their relationships and history, and the assumptions your organization already holds. The knowledge graph keeps that structure persistent, quantitative models carry the numbers, and Guild experts weigh in where context decides the answer.

A knowledge graph open in the platform, shown as a detail: a breadcrumb naming the company being viewed with its entity type tag, an entity search field beside it, and the upper edge of the network of shaped and colored nodes joined by relationship lines
The knowledge graph · the company named in the breadcrumb, and the network the record holds around it· shown as a detail

INPUT SIGNALOUTPUT ASSESSMENT

03 · DECIDE

What may happen, and what to do.

Multi‑actor simulation sets out what could happen and what you would do about it, run with the actors who would be in the room and tested against the way they behave. Each actor carries the strategic options open to it, primary, alternative and wildcard, with the reasoning under each one.

Multi-actor scenario simulation of an oil and gas coalition responding to an escalation, with primary, alternative, and wildcard strategic options
Scenario simulation · how the actors in a situation respond, with the strategic options each one has· shown as a detail

INPUT ASSESSMENTOUTPUT DECISION

04 · ACT

How intelligence reaches the organization.

Intelligence arrives as reports and executive briefings, dashboards and alerts, role‑ and customer‑specific applications, and agents that route what changed to the person who owns it. Through the API it can flow directly into the views, workflows and systems where decisions are made.

An application built around one customer's decision environment is the operational form of that: the same intelligence layer, shaped around their business.

Space and infrastructure intelligenceExample application
An intelligence application built for one customer: a Southeast Asia space and infrastructure executive overview with a sovereignty risk index, an infrastructure expansion score, maritime tension and cable resilience levels, AI infrastructure growth, regulatory fragmentation, and an ASEAN signal geography below them
Example · satellite, telecom, subsea cable, maritime and regulatory intelligence around one business environment · figures illustrative

INPUT DECISIONOUTPUT ACTION

Decision‑ready analysis that can actually be circulated internally.

A report written in the platform: the thesis under the title, an executive summary, the questions the analysis keeps separate, and numbered sources under the claims that carry them. Versions are kept, so the work can be reopened and taken further.

A sourced analytical report open in the platform: an investment framework for defense and dual-use technology, with an italic thesis line, an executive summary, four numbered questions the analysis separates, a version control reading v3 current, and a numbered sources panel below it
Report Advisor · the report, its version control and the sources panel under itthe head of the report: title, thesis and the opening of the executive summary, shown as a detail
AboveOne delivery form of many: the daily brief, with signals assessed against the client's exposure and a recommended action. Contents shown are illustrative, not live intelligence.

An enterprise example

Several developments, one decision.

One illustrative case, run end to end: an industrial manufacturer with a plant in one region, two suppliers in another, and a contract renewal due next quarter.

From developments to actionIllustrative view
  1. 01Developments

    An export‑control amendment enters its comment period, a shipping lane the plant depends on reroutes, and an election shifts the outlook for an energy subsidy.

  2. 02Indicators

    Three measures move: delay on the corridor, the share of sourced components inside the proposed control scope, and projected energy cost per unit at the plant.

  3. 03Scenario

    One scenario holds the three together: the control scope is confirmed, the lane stays diverted and the subsidy lapses, with the response already agreed.

  4. 04Trigger

    Defined in advance: two of the three indicators past their thresholds, with the renewal window still open.

  5. 05Action

    Procurement prices the alternate lane, treasury reviews the hedge, compliance opens the control assessment, and management sees one view.

  6. 06Value

    The renewal is decided with the alternative priced and the exposure understood, not after the disruption arrives.

Decide · Act

  • Owner
  • Action
  • Review

Mission Grey can retain the connection between signal, analysis, decision, owner, action and follow‑up.

Decision architecture

Five standing objects

A decision, held as a standing structure.

Five connected objects carry a decision over time. Each can change the others, so the system does not go quiet once an answer has been delivered, and all five are drawn again in the full recipe below.

Tracker

What we watch.

Indicator

What we measure.

Scenario

What could happen, and what we would do.

Trigger

When a decision is due.

Action

What the organization does.

Agents connect intelligence to responsibility and action.

Agents can read trackers, indicators and scenarios continuously, identify material change and know who owns the exposure it touches. They can send that person what changed, recommend an action and, where explicitly authorized, start a process in a connected system.

One external development can mean different instructions for procurement, treasury, compliance and management, not the same alert to everyone.

Check this

Something important changed. A person should look at it.

Do this

An agreed trigger has been reached. A previously defined action is now relevant.

The recipe

Inside the three inputs

The full recipe.

Three inputs, opened up: what each one contributes, the intelligence base that stocks them, and the sources added only when a question calls for them.

Intelligence architectureIllustrative view

AData and context

The Knowledge Graph, entity relationships, history, macro to micro context, and the connections between events, companies, people, markets, regulation and technology.

BModels and methods

LLMs, quantitative and economic models, forecasting, scenario models, fuzzy logic, network approaches, proprietary and university‑developed methods, and agents.

CHuman intelligence

The Mission Grey Guild: domain and regional experts, Delphi methods, structured expert surveys, expert validation and local knowledge.

Intelligence base, underneath all three

Global dataLocal dataMarket dataRegulationPoliticsTechnologyFinanceCompaniesConsumer behaviorEventsResearchOpen‑source intelligence

+Premium and specialist sources

Detailed maritime data, satellite data, commercial databases, paid research, specialist industry datasets.

+Local and niche sources

Regional sources, specialist publications, local experts, structured local observation.

+Customer‑private data

Internal documents and datasets, assumptions, exposures, plans, organization‑specific context.

Mission Grey decision engine

TrackersIndicatorsScenariosTriggersActionsFeedback loop

Decision‑worthy intelligence

What mattersWhat may happenWhat it means to usWhat should we doWhenWhat is it worth

Start with the intelligence base. Add what the decision requires.

Method

Data, models and people

AI alone is not enough.

Decision intelligence also needs quantitative models, persistent structure, history, context and expert judgment. Mission Grey combines them because different questions need different forms of analysis, and the question determines the data and the method, not the other way around.

AI assistants help individuals. Mission Grey adds the organizational intelligence layer.

An AI assistant, for one person

  1. A person
  2. A question
  3. An answer

Mission Grey, for the organization

  1. Persistent intelligence
  2. Structured knowledge
  3. Multiple models
  4. Expert judgment
  5. Scenarios and indicators
  6. Decision
  7. Continuous monitoring

An architectural difference, not a comparison of answers.

Research partnerships
Cambridge Judge Business School · Aalto University · Tampere University

Capability index

The instrument set, one platform

The instrument set.

Thirteen instruments on one platform. They draw on the same intelligence base and evidence, so an answer from one can be checked against another.

Signal monitoring

Track external developments from global to local: regulation, markets, technology, supply chains, physical‑world data.

Trackers and early warning

Watch one issue continuously and catch change while there is still time to act.

Indicators and indexes

Build measures around the decisions you have to make, and hold them to thresholds.

Forecasting Beta

Model how variables and outcomes may develop, with the assumptions set explicitly.

Scenario simulation Beta

Explore possible futures, actor behavior and strategic options before committing to one.

Knowledge Graph Beta

Understand relationships, dependencies and second‑ and third‑order effects across regions and sectors.

Decision Advisor

Investigate one decision on structured intelligence, with prioritized recommended actions.

Report Advisor

Create sourced, recurring reports that state what changed since the last edition.

Industry Analyser

Analyze industries and competitive environments in a repeatable structure, by country and sector.

Expert intelligence Beta

Bring Guild judgment into the analysis through expert review, surveys and Delphi rounds.

Private data rooms Beta

Use your private information as controlled context, which can remain restricted to your environment.

Intelligence applications

Create decision‑ and role‑specific environments on the shared intelligence layer.

Agents and API

Connect intelligence to the people who own a decision and the systems you already run.

Beta marks an instrument the product itself labels beta today.

Trust architecture

Sources, review, private data

What makes it inspectable.

Traceability is a property of the pipeline rather than a promise about it: signal, model, decision and review each leave a record.

Traceable to source

Signals and inputs can be linked back to their source.

Inspectable evidence

The evidence behind a conclusion can be opened and read, not only cited.

Reviewable by experts

Analysis and recommendations can be reviewed and challenged by your own team and by the Guild.

Audit‑ready

A decision, the evidence under it and the trigger that raised it can be documented and justified.

Private data stays private. Customer documents, datasets, assumptions and exposures can be used as controlled context for analysis and can remain restricted to that customer's environment. Customer data is not resold.

Application layer

Above the shared layer

How Mission Grey sits inside an organization.

The shared layer can carry applications, dashboards, agents and API connections built around one organization, an industry or one recurring decision, with the intelligence, models and evidence shared underneath. It is not a separate product built beside the platform.

Mission Grey system diagramIllustrative view

01Intelligence layer

The shared Mission Grey layer

Global to local data, structured knowledge, quantitative and proprietary models, AI and Guild expertise. One layer, the same for every customer on it.

Data fusionKnowledge GraphQuantitative modelsExpert intelligence

02Customer context

What makes the layer yours

The organization's own situation, added as controlled context and kept inside its environment.

MarketsAssetsProcessesExposureDecisionsPrivate data

03Intelligence application

Built around the decisions, on the shared layer

The five standing objects of the decision engine, carried in a view built for one business environment rather than for the platform.

TrackersIndicatorsScenariosTriggersActions

04The roles it serves

One application, the views each function needs

ExecutiveOperationsRiskSalesFinanceStrategy
SharedData, models and evidence SpecificContext, views and decisions

Each row holds more than the items drawn. The layer also runs AI, proprietary methods and forecasting, the context reaches procurement, compliance and treasury, and delivery can be a dashboard, an alert, an agent or an API call into a system you already run.

Independent validation

Rated 5.0 / 5 by users on G2.

Accurate and actionable analysis Traceable reports with sources Strong support for decision‑making Significant time savings

From G2 reviews “Not just data, but actually quality reports” “Everything you need at your fingertips” View reviews on G2

Access

Bring us one decision.

A market move. An investment. A supplier exposure. A regulatory change. A strategic assumption you are no longer sure about. We will show what Mission Grey does with it. Mission Grey is an enterprise platform; access is by request.

Request accessFor organizations ready to start working with Mission Grey.

See it on your decisionA short working session using a real question, exposure or opportunity from your organization.

contact@missiongrey.com