DECISION-ASSURANCE SOFTWARE · CLOUD TO EDGE

Decision advantage at mission speed.

Our proprietary game-theoretic solvers evaluate competing courses of action under uncertainty, adversarial adaptation, and resource constraints — then deliver transparent, evidence-backed decision support from cloud to edge.

Explore capabilities White paper — The Agentic Conway EffectPDF ↓

COA TRADE SPACE● RUN 0847 — REPRODUCIBLE

COA-ALPHA
SELECTED
COA-BRAVO
CO-OPT
COA-DELTA
REJECTED
COA-ECHO
REJECTED

          CONFIDENCE: QUANTIFIEDPROVENANCE: TRACEDEVIDENCE PKG ↧
        

ILLUSTRATIVE SCENARIO — NON-OPERATIONAL DATA

      CAGE 160W0UEI GFVFFAZMD237λ-CONGESTION SOLVERS — PATENT PENDINGNVIDIA INCEPTION MEMBERNAICS 541715
    

// WHAT WE DO

Decision assurance, engineered.

Anansi Labs develops mission-decision software for environments where uncertainty, intelligent opposition, limited resources, and time pressure make conventional planning tools insufficient.

The platform turns complex operational choices into auditable decision options — showing what was considered, why a posture was selected, and how its expected advantage compares with credible alternatives.

AUDITABLE

Reasoning on the record

Every recommendation shows its work — options considered, tradeoffs weighed, evidence attached. Reasoning you can interrogate, not a black box.

ADVERSARY-AWARE

Built for intelligent opposition

Game-theoretic evaluation of strategies when neither side has complete knowledge of the other's intent, posture, or future actions.

HUMAN-CENTERED

Complements, never replaces

Designed for defense, national-security, autonomy, and high-consequence operations — complementing operator judgment, doctrine, and existing command-and-control systems.

// CAPABILITIES

One platform.
Five force multipliers.

From strategic planning cells to constrained tactical networks — the same evidence discipline end to end.

01

Decision Advantage Under Uncertainty

Model and compare operational choices when intent, posture, and conditions are incomplete or changing.

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02

Adversarial Strategy Evaluation

Proprietary game-theoretic solvers weigh courses of action against adaptive, intelligent opposition.

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03

Congestion-Aware Resource Allocation

Belief-updated planning that weighs the mission cost of overloading routes, sectors, links, and assets — avoiding the locally attractive move that weakens the broader plan.

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04

Evidence-Backed Decision Assurance

Quantified confidence and decision-quality evidence on every output — proven results separated from estimates.

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05

Cloud-to-Edge Mission Computing

Containerized decision services designed for constrained, disconnected, and intermittently connected operations.

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MISSION APPLICATIONS — CAMPAIGN PLANNING · COURSE-OF-ACTION ANALYSIS · WARGAMING & RED-TEAM EVALUATION · MISSION ENGINEERING · LOGISTICS RESILIENCE · CRITICAL INFRASTRUCTURE

// PLATFORM

Two systems. One decision backbone.

Powered by CALM-CFR+ and Bayesian λ-Congestion CFR — proprietary decision-assurance solver architectures inspired by modern game-theoretic optimization. Patent pending.

PLATFORM

CLOUD · GOVCLOUD · ON-PREM

Anansi AIME

The mission decision platform — connecting scenario inputs, decision models, solver execution, evidence generation, and visual communication into one workflow for planners, analysts, operators, and technical leadership.

Scenario analysisCompare choices under uncertainty, adversarial adaptation, and resource constraints.

Decision assuranceEvidence, confidence boundaries, and traceability on recommendations and alternatives.

Human-centered outputsTechnical results translated into mission language, posture, tradeoffs, and clear visual briefings.

Integration readinessExchanges data with mission systems, simulations, and digital engineering environments.

GovernanceRole-aware workflows, reproducible runs, exportable evidence packages.

TACTICAL EDGE

CONSTRAINED · DISCONNECTED

Anansi Edge

Selected decision services packaged for deployment closer to the mission — so decision support remains available when bandwidth, latency, connectivity, or data-sharing constraints limit reach-back.

Deployable decision runtime for constrained edge hardware and disconnected or intermittently connected operations.

Mission-tailored solver configurations that prioritize the decision scope and time budget available at the edge.

Portable, containerized packaging for repeatable installation and controlled versioning across supported architectures.

Cloud-to-edge evidence continuity — edge results synchronize into the broader decision record when connectivity permits.

DESIGNED FOR CLOUD-TO-EDGE DEPLOYMENT

// WHY ANANSI

Evidence, not oracle answers.

Recommendations you can defend — to a commander, a review board, or an accreditor. The strength and the limits of every answer, stated plainly.

01

Proven vs. estimated — separated

Users see which results are demonstrated and which are projections, so they understand exactly how much weight a recommendation can bear.

02

Alternatives on the record

Structured comparison of selected, co-optimal, and rejected courses of action — including counterfactual outcomes.

03

Governed by design

Role-aware workflows, reproducible runs, and exportable evidence packages built for review and accountability.

// RESEARCH

Anansi Research Quarterly

VOL. 01 · JULY 2026CONCEPTUAL WORKING PAPER

The Agentic Conway Effect

A theory of source-code dispersion under massively parallel AI development — what happens to source code when a hundred machines write it at once, and whether the boundaries they carve will earn their keep.

ARMOND E. SINCLAIR, PhD

IN THIS ISSUE

The Question — a hundred writers, one repository

The Effect, Defined — dispersion is not bloat, and not always good

Eight Propositions — what the theory dares an experiment to break

The Experiment — from a 72-run pilot to 1,040 runs

Download the white paperPDF · 11 PP ↓

// WHO WE ARE

Built by engineers.
Designed for accountability.

Founded by two PhD engineers on a mission to make transparent, evidence-backed decision intelligence the standard for national security and industry. Members of the NVIDIA Inception Program, with deep expertise in game theory, AI, and mission engineering.

Armond Sinclair, PhD

CO-FOUNDER

Policarpio Soberanis, PhD

CO-FOUNDER

WORK WITH US

We partner with defense programs, primes, and dual-use innovators — from SBIR pilots to enterprise digital-twin integrations.

CAGE160W0
UEIGFVFFAZMD237
NAICS541715 · 541330 · 541511 · 541512 · 541690
EMAILINFO@ANANSI-LABS.AI