We build decision support systems that model how risk cascades through complex, interconnected systems. Cybersecurity. Regulatory compliance. And every graph-shaped problem that follows.
"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.
The same graph-based reasoning engine, applied to two of the most complex risk domains. Each built in weeks from a shared architecture, not months from scratch.
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.
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.
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.
Directed Acyclic Graphs with Bayesian reasoning layers on every edge. Risk cascades computed deterministically.
Gradient Boosted Trees for classification and scoring. Deterministic, auditable, under 50ms per prediction. No LLMs at the decision layer.
Every score traces back to its source. No hallucinations. No black boxes. The graph reasons, the AI communicates.
Exploit prediction (industry: 0.500)
Across 32.6M graph edges
Across 145 regulatory frameworks
Cascade probability tables
Our platforms run on enterprise-grade infrastructure with security, reliability, and compliance built into every layer — not bolted on after the fact.
The same graph-based reasoning engine adapts to any domain where risk cascades through interconnected systems. AuditDSS was built from AuditROI's architecture in weeks — each new vertical follows the same pattern.
Cybersecurity threat intelligence and attack chain analysis
Regulatory compliance intelligence with cascade risk scoring
Regulatory due diligence and portfolio risk monitoring for investors
Tender decomposition and proposal scoring for procurement
The architecture extends to any graph-shaped risk domain: infrastructure cascade risk for utilities and power grids, supply chain dependency analysis, and procurement intelligence. Each platform serves a distinct enterprise market.
Beyond our platforms, we offer PhD-led consulting for government, agriculture, utilities, and enterprise. Custom AI agents, Google Earth Engine, remote sensing, and decision support systems.
Explore ConsultingRemote Sensing & Spatial Science
Data Analytics & ML
Critical Infrastructure
Global Delivery
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.
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.
Two platforms are live and self-serve: AuditROI (auditroi.com) for cybersecurity threat intelligence and attack chain analysis, and AuditDSS (auditdss.com) for regulatory compliance intelligence with cascade risk scoring across 145+ frameworks.
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.
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.
Interested in our platforms, enterprise licensing, custom integrations, or partnership opportunities? We'd like to hear from you.
Company
QuestFeed Pty Ltd
ABN
58 632 013 855
Founder & CEO
Dr. Ali Ershadi