Arcanero Analytics

Intelligence That Holds Under Pressure.

Brisbane, Australia — Est. 2023

Intelligence Infrastructure.
Built for Institutions
That Cannot Afford
to Be Wrong.

Arcanero Analytics develops proprietary AI systems that convert complex, noisy data into decision-grade intelligence — for capital markets, enterprise strategy, and government.


The Problem

The financial data ecosystem has a structural flaw that most institutions have learned to live with. Raw feeds from the world's leading data vendors contain systematic errors — look-ahead bias, point-in-time failures, data leakage — that corrupt quantitative models at the source, silently inflate backtest performance, and destroy live returns.

The consequences are not theoretical. Strategies that appear to generate alpha in backtesting fail in deployment — not because the signal was wrong, but because the data was. Clean data does not just fix the model. It unlocks genuine, repeatable alpha across market conditions that dirty data makes structurally inaccessible.

Arcanero operates across the full stack. We supply institutional-grade clean data. We generate proprietary alpha signals from that data using our own ML and AI systems — signals available to investors from family offices to institutional allocators. And we deploy those signals in our own internal fund, where we generate returns from the same intelligence we sell. We don't just build the infrastructure. We use it.

The same failure mode exists at enterprise and government scale. Billion-dollar strategic decisions made on incomplete, unstructured, and politically filtered information. National security analysis constrained by the speed and quality of legacy data infrastructure.

Arcanero was built to fix this at the foundation. Not to paper over it.


Four Verticals

One Proprietary Foundation.

Our core capability — assembling, cleaning, and transforming complex data into decision-grade signals — applies across four high-value markets.

01 — Data Infrastructure
Arcanero Data

Institutional-grade financial data assembled from multiple primary sources. Point-in-time accurate, anomaly-corrected, and delivered as ML-ready feature sets via subscription API. Launching October 2026. Early access enquiries welcome.

Launching October 2026 — Subscription API
02 — Systematic Fund
Arcanero Capital

A systematic quantitative fund powered by proprietary ensemble ML systems, trained on data infrastructure that is not available to the broader market. Private. By invitation only.

In Formation — Q4 2026 Launch
03 — Enterprise Intelligence
Arcanero Enterprise

Strategic decision-support intelligence for resource companies, industrial enterprises, and large organisations navigating complex operational, regulatory, and geopolitical environments.

NDA-Gated — Selective Engagement
04 — Government & Defence
Arcanero Strategic

National security-grade intelligence products for government and defence clients. Proprietary AI systems for threat environment modelling, geopolitical signal analysis, and strategic foresight.

Verified Enquiries Only

$1.5M
AUD raised — seed
funding & R&D grants
4
Distinct intelligence
verticals in development
Oct '26
Arcanero Data
subscription launch
Seed
Round
Closing ahead of
Q4 fund launch

Currently Raising

Seed Round — Closing Ahead of Q4 2026 Launch.

AUD $1.5 million has been raised to date in seed funding and R&D grants. We are seeking to close this round to finalise fund infrastructure, scale Arcanero Data for US, European, and Asia Pacific markets, and complete the build-out of our enterprise intelligence capability.

Conversations with qualified investors are being assessed now.

Request an Investor Briefing →
$1.5M AUD
Raised to date
Q4 '26
Fund launch target
Data coverage
US · European · Asia Pacific

This is not a consumer product.

We work with a small number of institutional clients, investors, and partners.

Request a Confidential Briefing
Arcanero Data

The Financial Data Your
Models Were Supposed to Have.

Institutional-grade financial data assembled from multiple primary sources — point-in-time accurate, anomaly-corrected, and structured for direct ML ingestion. No look-ahead bias. No leakage. No preprocessing required. Launching October 2026.

The Problem

Your Backtest Is Lying to You.

Look-ahead bias. Point-in-time failure. Data leakage. These are not edge cases — they are endemic to the infrastructure most quantitative strategies are built on. Every leading data vendor ships these errors. Most quantitative teams spend 30–40% of engineering time attempting to clean data sold to them as clean.

That cost compounds across every model, every strategy, every fund cycle. Arcanero Data eliminates it at source.

Data delivered daily and monthly across securities changes, corporate reporting data, and historical bias corrections — covering US, European, and Asia Pacific equity universes. Validated with a Singapore family office pilot partner. Backtested performance data available to qualified enquirers under NDA.

What Makes It Different
Multi-source assembly
Financial signals assembled from multiple independent primary sources with cross-validation. No single-vendor dependency. No single point of failure. The data integrity guarantee is structural, not contractual.
Point-in-time accuracy
Every data point verified against its publication timestamp. No future information is ever visible to a historical model. Full audit trail included with every data point delivered.
Anomaly detection
Proprietary ML-based cleaning removes outliers, corporate action artefacts, survivorship bias, and stale prices before delivery. Every correction is documented and reversible.
ML-ready feature sets
Data delivered in stationary form appropriate for direct model ingestion. No additional preprocessing required. Compatible with standard ML pipelines and custom model architectures.
API delivery
Clean REST API with versioning, SLA options, and dedicated integration support at institutional tiers. Designed for production ML infrastructure, not manual export workflows.
Access Tiers

Pricing and full tier specifications are provided to qualified enquirers following NDA. All tiers include the core Arcanero Data guarantee — point-in-time accuracy, anomaly correction, and no look-ahead bias.

Analyst
Independent researchers & academics
Core equity universe. Historical depth. API access.
Annual subscription
Professional
Boutique funds & family offices
Extended universe. Daily refresh. Full point-in-time audit trail.
Annual subscription
Institutional
Asset managers & quant funds
Full universe. Real-time API. Custom field sets. SLA guaranteed.
Annual subscription + SLA
Enterprise
Strategic & government clients
Custom architecture. On-premise delivery option available.
Custom engagement

Arcanero Data launches October 2026. Early access is available to a limited number of qualified partners. All enquiries require a briefing and NDA.

Request a Confidential Briefing

Arcanero Capital

A Quantitative Fund Built on
Infrastructure Others Don't Have.

Arcanero Capital is a systematic investment fund powered by proprietary ensemble machine learning systems, trained on the same clean data infrastructure that underpins Arcanero Data. Private. By invitation only.

The Edge

The Structural Advantage Is the Data.

Most quantitative strategies compete on the same data. We don't. Our models are trained on proprietary financial data infrastructure — point-in-time accurate, multi-source, leakage-free — that is not available through any commercial vendor.

Our ensemble ML architecture is designed for regime-conditional signal detection: identifying patterns that persist across market cycles, not just within them. The data moat compounds as the dataset deepens.

Investor Access

Arcanero Capital Is Not Open to Public Enquiry.

If you have been introduced to Arcanero Capital through an existing relationship and wish to register your interest, contact us directly at advisory@arcanero.io with your organisation name and a brief description of your mandate.

All capital discussions are subject to verification of wholesale investor status under s708 and s761G of the Corporations Act 2001 (Cth) prior to any information being provided.

Arcanero Capital Pty Ltd is in formation. This page does not constitute a financial product offer, invitation, or solicitation of any kind. No information will be provided prior to verification of wholesale or sophisticated investor status as defined under the Corporations Act 2001 (Cth). This page is directed at wholesale and sophisticated investors only.

Arcanero Enterprise

Strategic Intelligence for Decisions
That Cannot Be Undone.

Bespoke intelligence products for resource companies, industrial enterprises, and large organisations navigating complex operational, regulatory, and geopolitical environments.

Resource Sector
Commodity price regime modelling, supply chain risk analysis, ESG regulatory exposure assessment, and sovereign risk scoring for major project development and capital allocation decisions.
M&A Intelligence
Target landscape analysis, competitive network mapping, stakeholder sentiment modelling, and regulatory risk scoring for corporate transactions in complex operating environments.
Geopolitical Risk
Real-time monitoring and scenario modelling of political developments, trade policy shifts, and conflict zone exposure for companies with international operations and cross-border capital exposure.
Board-Level Decisions
Structured intelligence briefings synthesising financial, operational, and strategic signals for C-suite and board decision-making on high-consequence, low-reversibility decisions.

Engagements are bespoke, NDA-gated, and scoped individually. We do not offer off-the-shelf enterprise products.

Request a Confidential Briefing

Arcanero Strategic

Intelligence Infrastructure for the
Highest-Stakes Environments.

Arcanero builds AI systems for environments where analytical failure is not an option. We work selectively with government bodies, defence agencies, and national security organisations.

Threat Modelling
Threat environment modelling using proprietary multi-source signal assembly, designed for environments requiring real-time monitoring and early-warning indicator frameworks.
Geopolitical Scenarios
Structured scenario analysis for policy and procurement decision-making, integrating open-source and proprietary signals across defined analytical frameworks.
Strategic Foresight
Long-horizon foresight products for government and defence clients navigating complex, multi-actor environments with high uncertainty and significant strategic consequence.
Custom AI Systems
Custom AI system development for sensitive operational environments, including on-premise deployment options for classified or air-gapped infrastructure requirements.

Engagements are conducted under formal agreement following security assessment. Enquiries from verified government and defence representatives only.

Request a Confidential Briefing

Technology

Proprietary From the Ground Up.

Our advantage is not a product feature. It is an architectural decision made at founding: build the intelligence stack from first principles, without dependency on vendor data or off-the-shelf ML frameworks.

Research Foundation

Our team publishes peer-reviewed research across the disciplines that inform our work.

Quantitative Finance & Machine Learning
Accounting & Finance, Wiley · 2019
Modelling momentum winner/loser asymmetry: the sources of winner and loser returns in the ASX200 and S&P500
Inglis, Vanstone & Hahn · DOI: 10.1111/acfi.12452
SSRN · 2015
Beyond Momentum: Investigating Statistical Learning for Winners-Minus-Losers Anomalies
Inglis, Vanstone & Hahn · SSRN 2698743
Strategic, Regulatory & Geopolitical Intelligence
Journal of Water Law · Vol. 25, Issue 5 · 2015
Mitigating water impacts in coal seam gas extraction: is Queensland's 'make good' framework a suitable regulatory model?
Janjua · Griffith University Faculty of Law
Palgrave Macmillan · 2024
Critical Mineral Supply in the European Energy Transition: Towards Just Institutional Approaches
Khadim, Janjua & Xu · In: Legal Challenges at the End of the Fossil Fuel Era · DOI: 10.1007/978-3-031-61766-9_11
Core Architecture

Ensemble ML Systems

Multiple independent model families trained on orthogonal signal sets and combined through proprietary weighting architectures. Designed for regime resilience, not single-environment optimisation. Performance degrades gracefully across market cycles rather than catastrophically.

Representation Learning

JEPA-Based Architecture

Joint Embedding Predictive Architecture applied to financial time series — enabling regime-conditional anomaly detection across defined equity signal families. Designed for predictive representation of complex temporal patterns without explicit generative modelling.

Data Infrastructure

Feature Store

Point-in-time correct feature computation with stationarity transformation, serving both Arcanero Data clients and internal fund models from a single verified source. One truth, multiple consumers. Eliminates the data inconsistency that undermines most institutional ML pipelines.

Signal Intelligence

Proprietary Field Mapping

Systematic mapping of financial data fields against anomaly signal families — enabling identification of information-rich and leakage-contaminated features across the equity universe. The result of extensive empirical research into the structure of financial data at field level.

Our technology has been validated in live market conditions. Backtested performance data and a full technical architecture briefing are available to qualified investors and enterprise partners under NDA.

Request a Confidential Briefing

About

We Started With the Problem
Nobody Wanted to Fix.

The financial data industry has known about look-ahead bias and data leakage for decades. The solution was always assumed to be the client's problem — something to patch in preprocessing, to paper over in backtesting, to discover painfully in live deployment.

We disagreed. We built the infrastructure to fix it at source. That same capability — assembling, cleaning, validating, and transforming complex data into decision-grade signals — turned out to have applications well beyond finance.

That is how a quantitative data company becomes an intelligence company.

Core Team
RJ
Ron Janjua
Founder & CEO
Dual-qualified barrister and solicitor admitted in Australia and Canada, with a PhD in progress at the University of Groningen spanning regulatory consultation, resource-sector risk, and the geopolitics of the energy transition. Former law lecturer at Griffith University and Bond University. His work applies international law, machine learning, and geopolitical risk analysis to intelligence systems designed to hold up under real-world pressure.
NI
Nick Inglis
CTO & Co-Founder
PhD in Computational Finance from Bond University, with undergraduate degrees in Electrical Engineering and Computer Science from the University of Queensland. Former Senior Data Scientist at the Queensland Crime and Corruption Commission. Five years as researcher and teaching fellow at Bond University's Macquarie Trading Room, where his research focused on statistical and machine learning methods for equity market anomalies. Prior co-founder and CTO of Avand, exited to TechnologyOne after 13 years.
AS
Ankur Sinha
CFO
Chartered Accountant with a Master of Applied Finance and dual undergraduate degrees in Law and Commerce from Bond University. Thirteen years at PwC Australia across infrastructure advisory and M&A, advising on landmark transactions including the $16B North East Link, the $6.7B West Gate Tunnel, the $2.5B High Capacity Metro Trains procurement, and the MYOB $833M ASX IPO. Currently Director at BDO advising public and private sector clients across energy, sustainability, and transport.

Confidential Briefing

This Is Where It Starts.

We do not have a sales team. We have a small number of ongoing relationships with institutional clients, investors, and partners.

If you are evaluating Arcanero Data, exploring fund participation, scoping an enterprise engagement, or representing an investment or government interest — begin here.

All submissions are treated as confidential.
We respond within 3 business days to qualifying enquiries.
We do not accept unsolicited vendor, recruiter, or service provider approaches through this form.
Certain enquiries will be subject to NDA prior to briefing.