Predictive intelligence built
for changing markets.
Arcanero turns corrected point-in-time data into adaptive company rankings, market signals and human-supervised portfolio decisions across global equity indexes, including the S&P 500 and ASX 200.
history used in research
universes analysed
capital invested
awarded across two rounds
Historical data can quietly import tomorrow into yesterday.
Financial databases do not stand still. Restatements, delayed fields, corporate actions, survivorship effects and conflicts between sources can give a historical model information no investor had when the decision would have been made.
Arcanero reconstructs what was knowable on each decision date. That corrected record supports the full decision chain—from adaptive company rankings and market signals to portfolio construction and rebalancing.
One proprietary intelligence platform. Four paths to market.
Arcanero Data provides the point-in-time foundation. Arcanero Signals converts the engine’s output into institutional market intelligence. Momentus applies selected signals through a private strategy. Stratera extends the architecture into project-capital decisions.
Corrected point-in-time financial data with correction and provenance records, being prepared for commercial API delivery.
Adaptive company rankings and portfolio intelligence for family offices, funds and investment teams.
Arcanero’s private, invite-only strategy for applying selected signals generated by the platform.
Decision intelligence for interconnected risks affecting project capital and critical supply chains.
Material benchmark outperformance across two distinct markets.
In two-year historical simulations, Arcanero’s rebuilt strategies outperformed their buy-and-hold benchmarks across the S&P 500 and ASX 200. These selected results demonstrate the engine’s application; they do not define its total index coverage.
Historical simulations; not live fund performance. Past results do not predict future returns.
Build on data your models can defend.
Arcanero Data reconstructs the financial record available at each point in time, creating a cleaner foundation for quantitative research, model development and investment decisions.
Financial information is collected from vetted sources and tested across market cycles and global index universes.
Fields are cleaned, reconciled and aligned to when each fact became knowable, reducing historical leakage.
Arcanero records where a field required correction and preserves the provenance of that correction.
Initial delivery will focus on Arcanero-created corrected fields for S&P 500 and ASX 200 companies, with further global universes being added.
Adaptive market intelligence for investment teams.
Arcanero Signals turns modelled company rankings into portfolio construction, monitoring and rebalancing across global equity indexes.
Designed for family offices, emerging managers, funds and investment teams that need quantitative capability without recreating an entire in-house quant operation. Research has included S&P 500, ASX 200, Nasdaq 100, TSX 100, Nikkei and FTSE universes, with additional indexes being integrated.
Discuss Institutional ApplicationsProprietary from the data layer to the decision.
Arcanero owns its technical IP, operates dedicated in-house compute and controls the full analytical chain. The result is a platform built for adaptation, reproducibility and accountable decision-making.
Models learn from the information available then
Inputs are cleaned, corrected and aligned to when they became knowable, with correction and provenance records maintained throughout the process.
Relationships are tested as markets change
Large populations of tuned and stacked learners operate across different historical conditions while current indicators help the engine recognise changing regimes.
Market structure is read from more than one source
Financial, sector, social and news information broadens the context used to assess anomalies, rank companies and construct portfolios.
Automation increases reach; people retain authority
Agentic LLM systems monitor data and model behaviour, assist with tuning inside defined parameters and report to staff. Human oversight remains at the strategy, risk and execution levels.
IP and compute remain under company control
Dedicated in-house infrastructure protects proprietary methods, supports reproducibility and gives Arcanero greater operational independence.
A private strategy built on Arcanero’s own intelligence.
Momentus is Arcanero’s private, invite-only investment strategy, built on the company’s proprietary data and adaptive market intelligence. Participation is limited. Further information is available by direct enquiry.
The core platform is built. Arcanero is entering commercialisation.
Technical research began in 2015. Ron Janjua and Nick Inglis began shaping the commercial thesis in 2020, and interest at a Toronto technology conference in July 2023 helped drive the formation of Arcanero Analytics Pty Ltd in January 2024.
In March 2026, the founders rebuilt the core architecture to strengthen adaptation across regime shifts, broaden the data foundation and introduce agentic monitoring. Both founders work full time in the company.
Arcanero is expanding its machine-learning and data capability, completing commercial API delivery, advancing institutional applications and developing Stratera from the same proprietary foundation. Founded in Australia. Built for global markets.
Built by people who understand models, markets and consequences.
Decision intelligence for capital exposed to connected risks.
Stratera is being designed to analyse how financial, credit, supply-chain, geopolitical, regulatory and social-impact risks combine around major capital projects.
In research and design.
Discuss a Stratera ApplicationRequest a private briefing.
Speak directly with Arcanero’s founders about the company, Arcanero Data, institutional applications, Momentus, Stratera or a strategic relationship.
Tell us briefly what you would like to discuss. The founders review every enquiry.