AENEA Global Ltd has launched RoamFree, a UK-domiciled travel eSIM service offering instant mobile data across 30+ countries and regions with no roaming charges and no physical SIM. Built for outbound travellers and priced in GBP, the platform went live in May 2026 and recorded its first live customer sale within days. RoamFree also operates a self-serve affiliate programme, allowing partners to earn commission on referred eSIM purchases. The venture marks AENEA Global's first consumer-facing commercial product, sitting alongside the group's intelligence and research divisions.
The Crassus research platform has reached its 10th and 11th published reports with two companion pieces: "The Sports Sponsorship Signal," identifying a non-financial behavioural leading indicator of credit sector stress with a 100% historical hit rate across the 2004-2008 financial crisis, and "The Consumer Credit Ecosystem," mapping the $200 billion pipeline from fintech origination through private credit absorption to pension fund destination. Both reports utilise the Crassus provenance badge system (Confirmed, Reported, Derived, Modelled, Signal) and have been independently fact-checked against public filings, press releases, and regulatory data. The research library now spans structured finance, consumer credit, insurance, infrastructure, and original behavioural analysis.
The Crassus division has launched the Crassus National Intelligence Terminal, a real-time intelligence platform covering 250 countries, 14 commodity markets, 30 economic indicators, and 30+ international news sources. Built as a mobile-first progressive web app on free public APIs (World Bank, IMF, FRED, BBC, Al Jazeera, The Guardian, Reuters, and others), the platform is engineered for governments, sovereign wealth funds, and institutional clients with no per-seat licensing. The Crassus brand has been formally restructured into two terminals: the new National Intelligence Terminal and the existing V5.0 Financial Terminal, sharing a common engineering foundation.
AENEA Prelude-5 Reaches Deep Factual Crystallisation Zone
Prelude-5 (276M parameters, trained on the new QT V.4.4 32K UltraLingo tokenizer) has passed step 40,000 with loss 2.249, perplexity 9.48, and gradient norm 0.208 - reaching the deep factual crystallisation zone five times faster than prior generations. This validates the Factual Crystallisation Hypothesis: gradient norm rather than loss is the primary predictor of factual recall emergence in language models trained on ultra-clean data.
Quartz has open-sourced QT V.4.4 32K UltraLingo, the new flagship tokenizer for the Prelude model series. Covering 72 languages across 27 writing systems with a 31.5x cross-lingual equity ratio - the highest of any QT generation - the V.4.4 achieves 4.231 fertility and consumes 15.7% fewer total tokens than Llama 3 across the FLORES-200 benchmark. The companion QT V.4.1 64K UltraLingo, released in parallel, serves the larger Overture model family targeting 500M-2B parameter scales. Both are published under Apache 2.0.
The Crassus division has expanded its published research portfolio to eight reports covering Thames Water liquidity restructuring, consumer ABS origination-to-default chains, BNPL systemic risk, European SRT markets, US CRT/SRT analysis, insurance and reinsurance systemic risk, de-SPAC convertible debt maturity walls, and hidden vulnerabilities in consumer credit systems. All reports are available at crassus.info.
The Crassus platform has deployed a comprehensive options analytics suite featuring 3D implied volatility surfaces, put-call ratio analysis, gamma exposure with flip point detection, earnings move analysis, and unusual activity detection across US equity markets. The terminal comprises 8 backend endpoints, 23 Pydantic models, and 19 frontend components.
Prelude-4 (276M parameters, d=1024, 16 layers, GQA 4:1) has exceeded the factual recall performance of Prelude-1, reaching its target loss and gradient norm zone significantly faster. This training run has contributed to the development of the Factual Crystallisation Hypothesis - a novel framework proposing that gradient norm, not loss, predicts the onset of factual recall capabilities in language models.
Quartz and AENEA have open-sourced the new QT V.3 32K UltraLingo, a parameter-efficient SuperBPE multilingual tokenizer designed for sub-500M parameter models. Covering 71 languages across 26 writing systems within a highly compact 32,000-token vocabulary, it utilizes innovative two-stage SuperBPE training. The V.3 UltraLingo delivers 3× better equity than industry standards and outperforms models 3-4× its size on Indic and SE Asian scripts, freeing up between 65M and 262M embedding parameters to be redeployed into reasoning layers.
Quartz and AENEA have jointly open-sourced the second-generation tokenizer family, featuring 64K, 96K, and 114K Code variants. Validated across 204 languages on the rigorous FLORES-200 benchmark, the QT_V.2 suite achieves the fewest total tokens in its class while demonstrating a 4× improvement in cross-lingual equity compared to industry standards.
AENEA has successfully trained and released Prelude-1, a highly-optimised 284M parameter base model. Trained exclusively on Quartz-cleaned corpora, Prelude-1 proves the company's foundational hypothesis: smaller models trained on surgically clean data can consistently outperform networks up to 3× their size in factual recall and precision.
The Quartz data division has published its SE Ultra-Clean pipeline. Transforming 23 distinct Stack Exchange communities into high-quality, instruct-format Q&A pairs, this pipeline expands the AENEA training substrate into complex procedural reasoning and technical problem-solving domains.
Quartz Achieves Sub-8-Hour Wikipedia Processing with Pipeline v6
In a major infrastructure milestone, Quartz Pipeline v6 successfully processed the entire English Wikipedia dump in under 8 hours. Utilising parallel decompression, regex XML splitting, and pre-computed MinHash signatures, this engineering feat establishes a new standard for rapid, deterministic data curation at scale.
AENEA Global Ltd announces the formal structuring of Crassus, a dedicated quantitative research division. Crassus will focus exclusively on the systematic analysis of distressed credit, insured infrastructure, and structured credit cascades, leveraging the factual baseline models developed by AENEA.
AENEA Global Ltd has been formally incorporated and registered in Manchester, United Kingdom. The holding company is established to build vertically integrated AI infrastructure, uniting data curation, model training, and applied quantitative research under a single architectural philosophy.