Platform

Intelligence becomes
a production system.

The FantomX platform orchestrates governed networks of specialist AI agents that investigate complex objectives, evaluate competing hypotheses, produce validated deliverables, and improve with every mission.

Workflow Pipeline

Ten steps from objective to validated outcome.

01

Objective

Define a research or engineering goal with constraints, success criteria, and governance requirements.

02

Agent Formation

The platform assembles a governed team of specialist agents with defined roles, permissions, and evaluation criteria.

03

Research

Agents investigate across approved data sources, publications, datasets, patents, and organizational knowledge.

04

Simulation

Model alternative scenarios with parameter sweeps, uncertainty ranges, and sensitivity analysis.

05

Adversarial Validation

Independent critic agents challenge findings, identify weaknesses, and evaluate assumption quality.

06

Evidence Scoring

Quantify confidence levels, trace evidence provenance, and score reliability of each conclusion.

07

Artifact Generation

Produce reports, models, visualizations, code, applications, knowledge bases, and research packages.

08

Human Approval

Route all consequential outputs for expert review, feedback, and formal approval.

09

Delivery

Deploy validated deliverables with complete audit trails, version histories, and reproducibility records.

10

Reusable Learning

Capture validated knowledge, workflows, and playbooks for future missions.

Architecture

Layered intelligence architecture.

Objective Layer

Goal specification, constraints, success criteria

Orchestration Layer

Agent formation, task decomposition, scheduling

Intelligence Layer

Research, simulation, analysis, synthesis

Validation Layer

Adversarial review, evidence scoring, reproducibility

Governance Layer

Approvals, audit, lineage, compliance controls

Delivery Layer

Artifact generation, deployment, monitoring

Technical Specifications

Built for frontier research and enterprise governance.

Agent Architecture

Recursive multi-agent with dynamic team formation

Validation Method

Independent critic agents with adversarial review

Evidence System

Scored provenance graphs with confidence intervals

Audit Trail

Immutable activity history with version control

Deployment

Cloud, private cloud, and virtual private cloud options

Data Controls

Encryption, residency, retention, consent tagging