From months of analysis
to minutes.
SAGE is a working AI decision-support system that compresses cross-domain national strategy analysis from days or months down to minutes — without losing the methodological substrate that makes the conclusions defensible.
Strategy built. Strategy tested.
SAGE operates across two linked modules. The Policy Scenario Engine compresses weeks of analytical work into a structured, documented strategic assessment. The Strategic Wargaming Engine stress-tests that assessment against a thinking adversary before decisions are made — not after.
Live intelligence feed & scenario seeding
A curated geopolitical news ticker — filtered by region — seeds scenario creation directly from live events. An analyst who sees a relevant development can generate a pre-populated strategic scenario from it in seconds. Every seed interaction is tracked from initial click through to completed wargame, building an institutional record of what the analytical community is paying attention to.
DIME effects ontology & source traceability
SAGE maps first-, second-, and third-order effects across Diplomatic, Information, Military, and Economic instruments for any scenario. Every node receives Importance, Leverage, and Fragility scores grounded in the National Power Index — a verified country-level dataset. A source traceability report shows exactly what percentage of every analysis came from cited sources versus AI synthesis, with citation URL verification before the report surfaces to the analyst.
Courses of action & legislative analysis
Three courses of action — Conservative, Balanced, and Aggressive — generate simultaneously with full supporting analysis: cost estimates with historical programme comparables, political support profiles, and a complete 100-senator legislative whip count grounded in the current political environment. Every AI output is analyst-approved before it advances. Nothing auto-populates into the final product without human review.
Implementation roadmap with critical path detection
The approved course of action generates a phased roadmap with date ranges, DIME resource allocations, and milestone cards. Critical path milestones are identified through dependency analysis. Chokepoints are flagged using four deterministic rules — single owner, high downstream load, domain concentration, and joint over-coordination — with the triggering rule displayed on every flag so analysts know exactly why it was raised.
Doctrine-grounded strategic wargaming
The Strategic Wargaming Engine follows U.S. Army War College and NATO wargaming doctrine. Cells draft actions in a private workspace, submit simultaneously, and receive adjudication from a White Cell calibrated against the platform's accumulated performance history. Six adversary doctrine seeds — PRC, Russia, Iran, DPRK, Saudi Arabia, India — ground autonomous Red Cell behavior in country-specific doctrinal logic rather than generic AI reasoning.
After-Action Report & institutional memory
Every wargame produces an After-Action Report that maps findings directly to the research questions defined at the start, cites specific move evidence for every claim, and discloses when automatic calibration constraints were applied during adjudication. The platform's library and fork graph accumulate as institutional memory — every scenario, wargame, and AAR is searchable across the full analytical corpus, answering the question every wargaming institution eventually asks: have we analyzed this before, and what did we conclude.
Defensible by design
SAGE is built on the DIMEFIL-DC ontology and a National Power Index (NPI) knowledge base, both authored and governed by the Center for the Application of Grand Strategy. Influence scoring, interaction modeling, and course-of-action generation all operate against this substrate — not against an undocumented model interior.
Output is shaped by a multi-agent pipeline running on Google Cloud, engineered by VerbaAI. Each agent has a defined analytical role, and intermediate reasoning is preserved for review rather than collapsed into a single answer.
Methodology, engineering, delivery
SAGE is built by Valexis Global in close collaboration with two essential partners — one governing the methodological substrate, one delivering the engineering platform.
Center for the Application of Grand Strategy
CAGS authors and governs the DIMEFIL-DC methodology and the National Power Index knowledge base that underpin every SAGE output.
VerbaAI
VerbaAI delivers the multi-agent pipeline and platform infrastructure on Google Cloud — the engineering layer that makes minute-scale analysis repeatable and inspectable.
Valexis Global
Valexis Global integrates the methodology and platform into a delivered product, owns the client engagement, and operates the alpha-to-beta test & evaluation programme.
See SAGE on a real question.
We're moving from alpha into structured beta engagements with a small number of institutional partners. Briefings are available for qualified organisations.
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