RE: RNS6 Feb 2026 09:03
AI Overview
Based on recent interviews with Proactive Investors, Quantum Blockchain Technologies PLC (AIM:QBT) is in a high-intensity phase of commercializing its AI-driven Bitcoin mining technology, with a particular focus on its "Method C" AI Oracle.
Here are the key takeaways from recent QBT interviews with CEO Francesco Gardin:
1. Key Technology Developments
Method C AI Oracle: This is the main focus, designed to improve the efficiency of existing ASIC mining hardware. It has been refined to operate in real-time using FPGA hardware, with the aim of achieving roughly a 30% increase in "quality hashes" (efficiency).
Software-Only Deployment: To accelerate time-to-market, QBT shifted from a hardware-intensive approach to a software-only version of Method C, cutting deployment time from 18 months to just a few weeks.
Methods A & B: These methods are also being developed, with ongoing negotiations to integrate them into aftermarket control boards for mining rigs.
2. Commercialization & Strategic Partnerships
ASIC Partnerships: QBT has signed multiple Non-Disclosure Agreements (NDAs) with major, but unnamed, ASIC manufacturers to test the Method C AI Oracle on their machines.
Testing Phase: The company is currently testing its technology in a Milan laboratory, focusing on legacy S9 miners as a proof of concept.
Target Market: The technology is aimed at helping smaller or mid-sized miners, as well as those using older hardware, to close the efficiency gap with market leaders.
Revenue Model: QBT is exploring several revenue avenues, including licensing fees, share of hash rates (profit sharing), and direct mining.
3. Recent Strategic Updates (Late 2025/Early 2026)
Positive Feedback: The technology was well-received at a recent US Bitcoin conference, validating the company's direction.
IP Strategy: QBT is focusing on patenting its core AI Oracle technology, though some developments are kept as trade secrets.
The company describes this period as a "very, very intense and busy" time as they move towards full commercialization of their proprietary AI, which aims to boost hashing power without requiring significant extra energy.