AI-Native DSS · Graph-Based Reasoning · Deterministic AI

Return on
Intelligence

One invention — the gBAG — powers three live products across cybersecurity, regulatory compliance, and planning intelligence. Deterministic. Auditable. No LLMs in the decision path.

Regulatory Intelligence

320 frameworks, 146K+ obligations. Full planning hierarchy (LEP, SEPP, DCP). Growing weekly.

Geospatial Intelligence

Australian cadastre, zoning, heritage, contamination, and transport overlays. Starting from NSW, expanding nationally then globally.

Business Intelligence

4.5M business profiles. Industry classification, regulatory exposure, domain security posture.

The Core Insight
"Every regulation, every network, every supply chain is a graph. Risk doesn't sit in one node. It flows through chains. Detecting risky chains before they break is the real Return on Intelligence."

We built an engine that reads flat documents, unstructured data, and complex rule systems and turns them into scored, navigable intelligence networks with Bayesian reasoning on every edge.

Live Platforms

Three Products. One Invention.

The gBAG — Geospatial Bayesian Acyclic Graph — applied to three domains. Each built in weeks from a shared architecture, not months from scratch. All live with self-serve sign-up.

Live

AuditROI

Enterprise Security Intelligence

Scans your external attack surface, maps vulnerabilities into multi-step attack chains, and predicts which threats will be exploited next. Zero infrastructure access required.

266
Scanners
184
ML Models (AuditROI)
422K+
Attack Chains
507M+
Threat Records
Visit auditroi.com
Live

AuditDSS

Regulatory Compliance Intelligence

Upload a compliance document. Get it mapped against every regulatory obligation, scored across five risk dimensions with cascade probability analysis. Minutes, not months.

320
Frameworks
146K+
Obligations
61K+
Bayesian CPTs
1,414
Enforcement Actions
Visit auditdss.com
Live

ZoneDSS

Planning Intelligence

Full planning graph. Enter any address, get every applicable control identified, conflicts resolved, and approval likelihood scored. Seven persona-specific report types in ~3 seconds.

8,130+
Obligations
613
DAG Nodes
7
Report Types
~3s
Generation Time
Visit zonedss.com
Proprietary Technology

Built on AI, Not Bolted On

No language model makes decisions. The graph reasons. The scores compute. LLMs only handle document ingestion and communication. That means no hallucinations, no black boxes, and full auditability.

Graph Engine

Directed Acyclic Graphs with Bayesian reasoning layers on every edge. Risk cascades computed deterministically.

DAGs Bayesian 32.6M Edges

Production ML Models

Gradient Boosted Trees for classification and scoring. Deterministic, auditable, under 50ms per prediction. No LLMs at the decision layer.

GBT 0.96 F1 <50ms

Deterministic & Auditable

Every score traces back to its source. No hallucinations. No black boxes. The graph reasons, the AI communicates.

Traceable Auditable Zero Hallucination
0.837

AUC Accuracy

Exploit prediction (industry: 0.500)

422K+

Attack Chains

Across 32.6M graph edges

146K+

Obligations Scored

Across 320 regulatory frameworks

61K+

Bayesian CPTs

Cascade probability tables

Enterprise Infrastructure

Built for Production. Secured by Design.

Our platforms run on enterprise-grade infrastructure with security, reliability, and compliance built into every layer — not bolted on after the fact.

Security Posture

  • AES-256 encryption at rest and TLS 1.3 in transit
  • Role-based access control with JWT authentication
  • Zero client data shared across tenants
  • No client data used for model training

Infrastructure

  • AWS, Google Cloud, and Cloudflare edge network
  • PostgreSQL (RDS) with automated backups
  • Serverless compute with auto-scaling
  • Staging + production environment separation

Reliability & Compliance

  • Deterministic outputs — every score is reproducible
  • Full audit trail on every decision path
  • Sub-50ms prediction latency
  • Mapped to NIST CSF, ISO 27001, SOC 2 controls
AWS
Google Cloud
Cloudflare
PostgreSQL
NIST CSF
ISO 27001
SOC 2
The Invention

The gBAG

A Geospatial Bayesian Acyclic Graph — a proprietary reasoning architecture that models rules, obligations, and constraints as scored probabilistic networks. Every node carries a compliance probability; risk cascades through dependencies. Point it at a new domain and you get a new product, a new market.

Live

AuditROI

Cybersecurity Intelligence

507M+ threat records, 184 ML models, 422K+ attack chains. Exploit prediction at 0.837 AUC vs 0.500 baseline.

auditroi.com →
Live

AuditDSS

Regulatory Intelligence

320 frameworks, 146K+ obligations, 12,278 rules scored, 1,732 enforcement actions. 26 jurisdictions, 25 industries.

auditdss.com →
Live

ZoneDSS

Planning Intelligence

Full planning graph. 8,130+ obligations, 613 DAG nodes, 7 persona-specific reports. Address to report in ~3 sec.

zonedss.com →

All live with self-serve sign-up and Stripe billing. No LLMs in the decision path. The architecture extends to any graph-shaped risk domain — every new domain is a new graph, a new product, a new market.

Enterprise & Consulting

Your Policies. Your Brand. Our Engine.

We deploy the proven gBAG engine inside your organisation — with your data, your branding, and your workflows. Deterministic AI chat agents, regulatory assessments, report generators, geospatial intelligence, and API integrations.

Explore Services
White-Label

Your brand, your domain

Isolated

Dedicated environment

320+

Regulatory frameworks

Zero

Hallucinations

FAQ

Common Questions

What does QuestFeed build?

QuestFeed builds AI-powered decision support systems that turn complex, interconnected data — regulations, threat intelligence, technical specifications — into scored, navigable intelligence networks. Our platforms use graph-based reasoning with Bayesian probability layers to model how risk cascades through real systems.

How is QuestFeed's AI different from LLM wrappers?

Our AI is built on production machine learning models, Bayesian networks, and graph algorithms — not language models. LLMs handle document ingestion and communication only. The graphs reason, the models score. That means no hallucinations at the decision layer, deterministic outputs, and a fraction of the running cost of LLM-dependent systems.

What products are live today?

Three platforms are live with self-serve sign-up: AuditROI (auditroi.com) for cybersecurity intelligence and attack chain analysis, AuditDSS (auditdss.com) for regulatory compliance intelligence across 320 frameworks, and ZoneDSS (zonedss.com) for planning intelligence with persona-specific reports for any Australian address.

What is cascade risk analysis?

Cascade risk models how a single failure propagates through an interconnected system. In cybersecurity, vulnerabilities chain into multi-step attacks. In regulation, a single compliance failure triggers enforcement across dozens of dependent rules. Our engine models these cascades using Directed Acyclic Graphs with Bayesian reasoning on every edge.

Where is QuestFeed based?

QuestFeed Pty Ltd is headquartered in Queensland, Australia. We serve clients globally, with particular focus on Australia, the United States, the United Kingdom, and Canada.

Get In Touch

Interested in our platforms, enterprise licensing, custom integrations, or partnership opportunities? We'd like to hear from you.

Contact Information

Location

Queensland, Australia

Company Details

Company

QuestFeed Pty Ltd

ABN

58 632 013 855

Founder & CEO

Dr. Ali Ershadi