Cangler Quant · Whole-of-ASX research intelligence
Research intelligence for the whole ASX, built on point-in-time evidence.
Cangler Quant helps analysts, funds, and data teams explore ASX companies, announcements, and signals through point-in-time-controlled data, source lineage, and governed AI research workflows — so research is faster, reproducible, and trustworthy.
Research infrastructure only. Not financial advice. No performance claims.
01 / The problem
ASX research is fragmented, hard to reproduce, and increasingly hard to trust.
Analysts and investors stitch together screens, announcements, spreadsheets, broker notes, and manual judgement. The work is slowed by stale data, ambiguous sources, point-in-time leakage, inconsistent entity mapping, and backtests that can’t be reproduced.
AI summaries make it worse when they aren’t tied back to evidence. Cangler Quant is being built to solve that research-infrastructure problem — coverage of the whole market, with the controls that make an output worth trusting.
02 / The platform
In active developmentCangler Quant is built on Cangler OS.
Cangler OS is a horizontal institutional operating system for governed research. Cangler Quant is the first vertical product built on it — and at its core is UICE, the engine that routes every workflow through policy, compliance, assurance and point-in-time gates.
Cangler Quant
quant-finance vertical
Future verticals
reviewed strategy only
Cangler OS
core engine · UICE
A horizontal institutional operating system — governed data, assurance, research, simulation, evidence and command/control.
built by Cangler Labs
UICE — the Unified Intelligent Coordinating Engine
Not a free-form AI orchestrator — a deterministic control kernel. It’s designed to coordinate the platform’s governance engines so that no output is trusted without the evidence to back it.
Policy engine
Operating policy — assignment, review, access, capacity, promotion and publication.
Compliance engine
Applicable regimes, obligations and controls — with the gaps, blockers and evidence behind them.
Assurance kernel
Classifies the strength and limits of the evidence behind every decision.
Evidence vault
Append-only custody of run snapshots, audit chains and proofs.
UICE
Unified Intelligent Coordinating Engine
The deterministic kernel that routes every workflow through these engines — and holds a blocker when the evidence is missing, stale or insufficient.
Zero-Trust engine
Who — or what — may access each dataset, model, artifact and data-room surface.
Point-in-time engine
Verifies what was knowable on the date, and holds back look-ahead leakage.
Data-quality engine
Freshness, schema drift, nulls, referential integrity and lineage completeness.
Model-risk engine
Eligibility, validation depth, drift, calibration, promotion and rollback.
What it powers
Cangler Nexus
Visual command & control
A 3D, holographic command layer that renders the platform's live state — portfolio risk, model confidence, point-in-time safety, entity graphs and research campaigns — as scenes you can read in seconds.
Agentic Alpha Lab
Governed research factory
Where alpha hypotheses are proposed, sandboxed and tested against falsification controls. Failed trials stay on the record; promotion is gated by independent review and a full evidence bundle.
ASX Feature Store
Pre-engineered, PIT-correct
600+ engineered features across the whole ASX — survivorship-bias-free, point-in-time-correct, and drawn from sources unique to the Australian market.
Governed end-to-end
Every record flows through UICE — assured, compliant, tracked.
Source data is coordinated by UICE — graded by the assurance kernel, checked against compliance controls, tracked with signed lineage — then feeds the feature store and models that the Alpha Lab sits on, flowing in and out, all visualised in Cangler Nexus.
Illustrative · governed data flow · in active development
Cangler Nexus
The whole platform, on one screen.
A 3D, holographic command layer that renders the platform’s live state — entity graphs, model confidence, point-in-time safety, evidence and research campaigns — as scenes you can read in seconds, with every node tracing back to its source.
In active development.
entity & peer graph · whole ASX
03 / The edge
Structural edges, drawn from data unique to the ASX.
Beyond standard factors, we engineer signals from Australian-market disclosures no vendor packages — corporate lifecycle, spatial geology, and the relationships between the people and companies behind each listing.
Cash-runway intelligence
Reads quarterly cash-flow filings to estimate how many quarters of funding a company has left — and flags the dilution risk that tends to arrive before a raise.
Geological nearology
A point-in-time map of mining tenements that links explorers to nearby discoveries and the moves of same-basin peers.
Director & promoter networks
Entity-resolved track records across boards and substantial holders — surfacing insider conviction and governance risk.
Narrative-drift detection
Detects when management quietly shifts the metrics they emphasise — a documented tell that the story is moving faster than the business.
04 / Evidence-backed
Every output carries its own evidence.
Not a black-box score — a research card. Each one is designed to show its sources, its point-in-time boundary, its data-quality state, the model’s status, and what it doesn’t know — so you can judge whether to trust it in seconds.
- Source lineage on every value
- Point-in-time boundaries, enforced
- Data-quality and model status, shown
- Assumptions and limits, stated
Research card
Evidence trail
- Source
- Appendix 4C · 2026-Q1 · filed 28 Apr
- Point-in-time
- as of 2026-05-15
- Data quality
- verified
- Model
- candidate · not promoted
05 / Lineage & proof
Every insight traces back to its source.
No value stands alone. Each one is designed to trace the whole way back — model, features, joins, the original filing — as an append-only evidence chain, cryptographically signed at every link. So a result can be re-derived and verified, not taken on faith.
Signed with a post-quantum signature profile (FIPS 205 / SLH-DSA). In active development.
- 01Insightsha-256 · signed
the value shown on a research card
- 02Modelsha-256 · signed
candidate · version · calibration
- 03Featuressha-256 · signed
the engineered signals it used
- 04Joinssha-256 · signed
the point-in-time-safe spine
- 05Sourcesha-256 · signed
the original ASX filing · vintage · rights
Designed against
We map our controls to the standards institutions expect.
The platform is designed against — and maps control objectives to — recognised security, privacy, AI-governance and prudential frameworks, so readiness can be evidenced as we build.
ISO/IEC 27001
information security
ISO/IEC 27701
privacy information management
SOC 2 TSC
service controls
NIST CSF 2.0
cyber risk
NIST 800-207
zero trust
CIS Controls
baseline security
ISO/IEC 42001
AI management system
ISO 9000
quality management
NIST AI RMF
AI risk
AU Voluntary AI Safety Standard
responsible AI
APRA CPS 234
information security
APRA CPS 230
operational risk
APRA CPG 235
data risk management
BCBS 239
risk data aggregation
Privacy Act / APPs
data protection
FIPS 205
post-quantum signing
Alignment and control-mapping only — not certification, audit, or regulatory approval. Framework alignment is tracked as readiness mapping and evidenced where controls are in place.
06 / Use cases
Built for ASX-focused research workflows.
- 01ASX-wide opportunity screening
- 02Small- and mid-cap discovery
- 03Announcement & catalyst monitoring
- 04Watchlist & portfolio intelligence
- 05Feature & signal research
- 06Data-quality & source-lineage review
07 / Approach
Evidence over hype — by construction.
Point-in-time by default
Survivorship handling, entity resolution across ticker reuse, and date-correct joins — enforced, not bolted on.
Source-owned & reproducible
Outputs trace to sources with explicit assumptions and limitations, so results can be re-derived and audited.
Governed AI
Models accelerate research within claim controls and review gates — no unsupported certainty, no advice.
Detailed architecture, methodology, and signal logic are shared selectively with design partners under NDA.
Private design-partner beta
Help shape a whole-of-ASX research platform before public launch.
We’re working with a small number of ASX-focused analysts, funds, and data teams to shape research workflows, evidence cards, and data products. Design partners get early access and direct input into what gets built.
08 / About
Built by Cangler Labs.
Cangler Labs builds Cangler OS — a horizontal operating layer for governed, evidence-backed research. Cangler Quant is its first vertical: quantitative research intelligence for the Australian market.
The work is engineering-led and evidence-first: point-in-time discipline, source lineage, and an honest line between what’s live today and what we’re building next.