Goad & Associates, LLCCognitive AI SystemsDiscuss a deployment

AI engine + harness deployments

Turn scattered data into causal intelligence.

Goad & Associates is developing customer-controlled cognitive systems that ingest heterogeneous sources, preserve traceability, test competing explanations, and help decision-makers act on the best available information.

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01Customer controlledYour infrastructure, data, keys, and access rules.
02Source groundedFindings remain traceable to the underlying evidence.
03Mission configuredOne cognitive core, adapted to the work at hand.
04Built for resilienceLocal, private-cloud, and limited-connectivity paths.

The Factorum architecture

Not another chatbot.
An engine for understanding.

Factorum is the cognitive core beneath G&A's mission-specific systems. It is designed to convert mixed, fragmented information into a living, testable model of what happened, what is connected, what is missing, and what may happen next.

Heterogeneous intake

01Documents
02Databases
03Audio + video
04Streams
05Sensors
Core intelligence layerFACTORUM
  1. 01
    ResolveEntities, events, relationships, and provenance
  2. 02
    ReasonContradictions, gaps, hypotheses, and causal links
  3. 03
    RevisePersistent learning from evidence and outcomes
  4. 04
    ExplainTraceable findings for accountable decisions

Operational outputs

01Evidence graph
02Causal models
03Tested hypotheses
04Decision support

One engine. Multiple missions.

A cognitive core—deployed through distinct systems.

Factorum is the original, general-purpose cognitive engine. DiscoveryIQ applies that core to legal and investigative work. MARE—the Market Analysis and Research Engine—is a specialized Factorum fork that operates independently as the analytical engine behind the Stallion Trading Platform.

01Core architecture • Active development

Factorum

Cognitive intelligence engine

The shared reasoning core that turns fragmented, heterogeneous sources into traceable intelligence—without hiding how the system reached its conclusions.

  • Connects documents, databases, audio, video, live streams, sensors, and other mission data into a source-grounded evidence graph.
  • Resolves entities, relationships, timelines, contradictions, and gaps across sources that were never designed to work together.
  • Tests competing hypotheses and causal explanations, then revises its reasoning as new evidence and outcomes arrive.
EngineEvidenceCausality
02Application platform • Desktop beta

DiscoveryIQ

Legal + investigative intelligence

Built for law firms, litigation teams, and investigators confronting discovery at a scale and complexity that conventional review tools struggle to connect.

  • Processes high-volume and mass-discovery collections across case files, communications, records, media, and mixed eDiscovery sources.
  • Builds chronologies and relationship maps to find missing links, absent records, contradictions, and evidence buried across disconnected productions.
  • Surfaces additional contributing causes, alternative explanations, and consequential actions that may change how the matter is understood.
  • Its specialist-agent architecture is designed to scan the same evidence from multiple disciplines—raising medical, financial, behavioral, procedural, public-safety, and other flags the team may not yet know to ask about—for attorney review.
LegalInvestigationsCase intelligence
03Specialized Factorum fork • In development

MARE

Market Analysis and Research Engine

A market-specialized fork of the original Factorum engine, developed to perform governed market analysis and research while remaining independently deployable from any one application.

  • Combines structured market data, models, signals, news, and operating context into one reviewable intelligence environment.
  • Separates statistical correlation from plausible causation by comparing explanations, counter-signals, and changing conditions.
  • Acts as the analytical engine for the Stallion Trading Platform, which provides the user-facing controls, displays, and governed trading workflow.
MarketsIndependent enginePowers Stallion
04Domain packs + adapters + interfaces

Mission Harnesses

Configured cognitive deployments

Purpose-built Factorum deployments configured around the customer’s sources, terminology, doctrine, operating constraints, and risk—not a generic assistant placed on top of the mission.

  • Combines domain packs, source adapters, interfaces, and reusable specialist agents for public safety, claims, government, regulated enterprise, and other high-accountability work.
  • Preserves evidence boundaries, provenance, permissions, review points, and mission-specific definitions throughout the reasoning process.
  • Supports private-cloud, on-premises, limited-connectivity, distributed, and air-gapped operating profiles as the environment requires.
ModularMultimodalMission specific
Factorum core+Domain pack+Data adapters+Interface+Deployment profile

Sovereign by architecture

The customer controls the environment.

G&A does not envision one multi-tenant system learning from every customer inside a shared corporate brain. Each deployment is independent, customer controlled, and configured around the mission, risk, and operating environment.

“Factorum manages the product. The customer controls the environment.”
01

Control the data

Customer-selected storage, retention, access rules, evidence boundaries, and encryption-key ownership.

02

Control the models

Support for appropriate commercial, government-approved, sovereign, or open-weight models as the deployment requires.

03

Control the infrastructure

Customer-hosted, private-cloud, on-premises, distributed, limited-connectivity, and air-gapped deployment profiles.

04

Control the relationship

Managed private deployments, pilots, customized builds, joint development, and separately licensed vertical products.

Our operating premise

Sound decisions are not made in a vacuum.

Every judgment rests on information, experience, observation, or stimulus. Better decisions begin by finding the facts, testing the assumptions, exposing what is missing, and making the reasoning visible.

01See the whole problem. Connect data that normally lives in separate files, systems, teams, formats, and timeframes.
02Challenge the first answer. Compare competing hypotheses, contradictions, gaps, and alternative causal explanations.
03Act with open eyes. Give decision-makers traceable findings, uncertainty, and the strongest available basis for action.

Field-led systems engineering

Built from the front edge of operations upward.

G&A's approach begins in field response—firefighting and emergency medical work—and continues through public-safety answering-point and 911 operations, emergency management, communications coordination, continuity planning, public information, and intelligence-liaison functions.

In those environments, information is rarely complete, time is limited, systems may be degraded, and a theoretically superior answer has little value if it arrives too late to guide the decision. That operational experience is paired with technical, project-management, business, and legal education. The point is not to set practice against theory; it is to build systems in which sound theory survives contact with real conditions.

Mission-critical operationsAI system architectureProject governanceEvidence-centered reasoning

Begin with the mission

What does your organization need to understand that its current systems cannot see?

For a useful first conversation, tell us:

  • the decision or mission problem;
  • the source types and systems involved;
  • the required security and deployment environment; and
  • the outcome your team must be able to explain or defend.
Discuss a cognitive system →info@goadandassociates.com