Quantum Blockchain Technologies (AIM: QBT) announced on June 29 that its Method C AI Oracle has overcome a key data challenge, putting the London-listed R&D company on track to generate a first deployment-ready version using a new ASIC manufacturer dataset by the end of June 2026. The milestone follows the receipt of the company's first Bitcoin mining rig from one of three ASIC manufacturers with whom it has signed non-disclosure agreements. This development parallels recent Pepeto Binance listing progress and Cred's fintech pivot.
What Happened
Quantum Blockchain Technologies reported that close cooperation between its University of Milan research team, the ASIC manufacturer's engineers, and US-based partners has successfully modified the CGminer-like operating system of the manufacturer's rig to intercept all incoming mining jobs from the mining pool. This integration enables the Method C AI Oracle to analyze blockchain data in real time and apply predictive optimization to SHA-256 calculations. CEO Francesco Gardin, who holds a PhD in Theoretical Physics from Padova University (1979), confirmed the AI Oracle has been trained for several weeks on current blockchain blocks and achieved approximately 30 percent predictive performance — meaning the method avoids processing roughly 30 percent of SHA-256 calculations during mining operations. The company's official announcement details the regulatory news and deployment timeline.
The company simultaneously published its full-year 2025 financial results, revealing a total comprehensive loss of €3.13 million (versus €2.85 million in 2024) with operating losses steady at €2.95 million. Cash reserves declined to €451,000 from €604,000 a year earlier. QBT raised £500,000 after the year-end to fund continued development. Additional coverage from Yahoo Finance UK and Sharecast confirms the milestone.
Why It Matters
The Method C breakthrough represents a software-only approach to Bitcoin mining optimization that integrates into existing mining software environments such as CGMiner rather than requiring custom ASIC chip architecture. This distinction makes the technology immediately deployable on current hardware — specifically the Bitmain Antminer S9, chosen because it is the last model with fully accessible architecture for testing. By avoiding 30 percent of hash calculations, the AI Oracle could meaningfully reduce energy consumption per terahash, a critical metric as global Bitcoin mining energy use exceeds 150 terawatt-hours annually. The ASIC manufacturer partnership validates commercial interest from hardware producers seeking efficiency gains without silicon redesign. This aligns with broader quantum computing advances in finance, as seen in Trump's quantum computing executive orders targeting 2028 breakthroughs.
What's Next
QBT aims to produce a first version of the Method C AI Oracle using the new ASIC manufacturer dataset by late June 2026, with subsequent iterations incorporating additional manufacturer data. The company has also established BlocKeeper (June 18) to pursue virtual Bitcoin mining strategies and resumed its quantum computing research programme (May 8) exploring quantum-enhanced mining approaches. Gardin compared the Oracle's learning process to a Formula One driver mastering a new circuit — each dataset from a new hardware partner requires complete retraining. Investors should watch for deployment confirmation on the Antminer S9 test rig and any additional ASIC manufacturer announcements, as each new partnership expands the Oracle's training corpus and commercial addressable market. The development mirrors trends in Trump's crypto venture disclosures, XRP price prediction momentum, and Pepeto Binance listing progress.