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SoftBank Corp. and Quantinuum Announce Groundbreaking Partnership Toward Practical Application of Quantum Computing

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2 years ago

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Partnership to drive commercial value through practical go-to-market use cases and develop business model for a quantum data center

TOKYO and BROOMFIELD, Colo., Jan. 28, 2025 /PRNewswire/ — SoftBank Corp. (“SoftBank“) and Quantinuum (“Quantinuum“) announced they agreed to a wide-ranging partnership in quantum computing.

By combining their respective strengths, both companies will unlock innovative quantum computing solutions that will overcome the limitations of classical artificial intelligence (AI) and realize next-generation technologies.

This unique initiative coincides with the International Year of Quantum Science and Technology (IYQ) in 2025, and it is expected to ignite new business opportunities through the dynamic fusion of AI and quantum computing.

The Necessity of Quantum Computing Beyond the Limits of AI

In this modern era, AI is delivering impressive results across various domains. However, it is widely recognized that there are still significant challenges that AI alone is struggling to overcome. Complex optimization problems, deciphering causal relationship analysis, and conducting high-precision simulations based on fundamental equations remain formidable obstacles for current AI technologies.

Moreover, the hybrid approach that combines Central Processing Units (CPUs), Graphics Processing Units (GPUs), and Quantum Processing Units (QPUs) holds the potential to further extend the capabilities of AI. By leveraging the unique strengths of each type of processing unit, hybrid systems can execute more advanced and diverse computations, providing innovative solutions that surpass traditional limitations.

SoftBank and Quantinuum believe in the power of quantum computing and are committed to exploring its transformative potential.

Current State and Challenges of Quantum Computing

Despite impressive growth in the quantum computing sector, several technical and business challenges need to be addressed to advance the state-of-the-art so that quantum computers are used to solve practical problems.

(1) Building a Business Model

Initial Investment and Operational Costs: The substantial initial investment and operational costs required for the development and deployment of quantum computers lack concrete cost recovery strategies, which in turn suppresses the drive for companies to develop and adopt the technology.Clarification of Revenue Models: The business models for generating revenue, including the methods of offering quantum computers and setting usage fees, have not yet been fully realized.

(2) Establishing Specific Use Cases

Discovering Use Cases: There is a shortage of use cases that clearly demonstrate which fields quantum computers will be useful in. Understanding the market size and revenue models through clear examples, especially in areas such as quantum chemical calculations and machine learning, is necessary.Understanding the Market and Revenue Predictions: It is crucial to specifically identify the areas where computations can only be performed by quantum computers and are commercially viable, as well as to predict the timing and scale of these applications.

(3) Advancing Hardware and Software Technologies

Limitations and Challenges of Hardware: The current hardware performance (number of qubits and operation precision) of quantum computers is inadequate for handling practical problems, and significant enhancements in performance are needed for practical use.Software Development and Error Mitigation: The development of hybrid algorithms that combine traditional methods, as well as advancements in error suppression, mitigation, and correction technologies, are essential to enable practical computations. Furthermore, developing technologies that mutually complement hardware and software are also indispensable.Timing for Service Provision: Making decisions based on a deep understanding of technology to provide services at the optimal timing requires assessing the speed of technological advancements and market needs.

Key Activities

SoftBank and Quantinuum are committed to addressing these challenges together to advance the practical application of quantum computers.

(1)  Joint Market Research & Business Model Development for Quantum Data Center

With a view toward the realization of a “quantum data center” capable of performing advanced calculation processing by combining CPUs, GPUs and quantum computers (QPUs), both companies will use the Japanese market as a foothold to conduct global market research in the Asia-Pacific region and other regions, and explore specific business models based on that research.Both companies will jointly consider methods to reduce investment risks, such as revenue sharing and cost sharing.

(2)  Construction of Quantum Use-Case Timelines and Validation

SoftBank will provide its own business challenges as use cases.Both companies will clarify use cases in quantum chemistry and network analysis, and construct a timeline showing when these use cases will be realized. In quantum chemistry, the search for new optical switch materials for All Optical Networks is anticipated, while in network analysis, the application to anomaly detection and fraud detection in SoftBank’s communication network is envisioned.Both companies will develop software technology that makes effective use of limited hardware resources, and explore methods for linking CPUs, GPUs, and QPUs.

Comments from each company

Ryuji Wakikawa, Head of Research Institute of Advanced Technology, SoftBank Corp., commented: “SoftBank believes in the potential of quantum computers and has been testing and evaluating various internal issues using quantum computers, and has started to obtain certain results. However, as a telecommunications operator, there are still many challenges remaining regarding how to provide quantum computing services in Japan. Through our collaboration with Quantinuum, which possesses the world’s highest-performance quantum computer hardware, we aim to be the first in the world to identify problems that can only be solved by quantum computers and look forward to significantly accelerating the practical application of quantum computing.”

Dr. Rajeeb Hazra, President and CEO of Quantinuum, commented: “Our partnership with SoftBank represents a pivotal moment in the evolution of quantum computing. By combining our strengths, we are poised to unlock innovative solutions that will not only enhance the capabilities of AI but also tackle challenges that have long been beyond reach. Together, we are laying the groundwork for a future where quantum technologies drive transformative advancements across multiple industries.”

By integrating quantum computing with AI, this initiative is expected to contribute to problem-solving in diverse fields such as healthcare, finance, logistics, and energy. This collaboration not only addresses unsolved challenges but also creates new market opportunities and fosters technological innovation across society.

About SoftBank Corp.

Guided by the SoftBank Group’s corporate philosophy, “Information Revolution – Happiness for everyone,” SoftBank Corp. (TOKYO: 9434) operates telecommunications and IT businesses in Japan and globally. Building on its strong business foundation, SoftBank Corp. is expanding into non-telecom fields in line with its “Beyond Carrier” growth strategy while further growing its telecom business by harnessing the power of 5G/6G, IoT, Digital Twin and Non-Terrestrial Network (NTN) solutions, including High Altitude Platform Station (HAPS)-based stratospheric telecommunications. While constructing AI data centers and developing homegrown LLMs specialized for the Japanese language with one trillion parameters, SoftBank is applying AI to enhance radio access network performance (AI-RAN) with the aim of becoming a provider of next-generation social infrastructure.

To learn more, please visit https://www.softbank.jp/en/.

About Quantinuum

Quantinuum, the world’s largest integrated quantum computing company, pioneers powerful quantum computers and advanced software solutions. Quantinuum’s technology drives breakthroughs in materials discovery, cybersecurity, and next-gen quantum AI. With around 600 employees, including 370+ scientists and engineers, Quantinuum leads the quantum computing revolution across continents.

For more information, please visit the website at www.quantinuum.com.

 

SoftBank, the SoftBank name and logo are registered trademarks or trademarks of SoftBank Group Corp. in Japan and other countries.Other company, product and service names in this press release are registered trademarks or trademarks of the respective companies.

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Toku launches Makimoto Flows, a visual builder for speech AI pipelines, taking its open-source initiative beyond transcription

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55 minutes ago

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October 21, 2026

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Developers can chain transcription, summarisation and call tagging on one canvas, test each step and export the pipeline as code, with every step processed in Singapore

SINGAPORE, Oct. 21, 2026 /PRNewswire/ — Toku Ltd. (SGX: TKU), a Singapore-headquartered AI-powered customer experience (CX) platform, has launched Makimoto Flows (“Flows”), a visual builder within its open-source conversational AI initiative where developers assemble speech AI pipelines block by block and test each stage on a recorded call. Flows is now live at makimoto.ai.

On the Flows canvas, developers connect blocks to build a speech AI pipeline and test each step individually. The Transcribe block converts audio into text using Kawa, the Summarise block generates a topic and short summary from the transcript, and the Tags block classifies each call across seven categories, including customer sentiment. Developers can see how audio moves from transcription to analysis, and control how each stage connects and runs. Every block runs in Singapore, so audio, transcripts and the resulting analysis stay in-country.

The Chained Analysis starter template puts these blocks together in one click, and developers can adjust any block and rerun it to compare results. Each block maps to a Makimoto API endpoint, and any flow can be exported as ready-to-run Python code, so developers can take the same capabilities into their own code for applications such as call recaps and call triage.

“Developers should have control over how their voice AI works, from the models they use to the way each stage connects. That is the principle behind Makimoto. Flows puts the orchestration layer in front of them: they can build a pipeline, run a recorded call through it and see what each step produces before anything reaches their customers. Models will keep changing. The ability to compose them, and to know where they run, is what lasts,” said Thomas Laboulle, Founder and CEO at Toku.

Flows builds on the composable architecture Toku set out when it introduced Makimoto in April 2026, and takes the initiative beyond transcription. Kawa, released on schedule on 1 July 2026, established the transcription layer through a Singapore-hosted API; summarisation and tagging endpoints followed in September; Flows now lets developers compose them visually. Next, Makimoto plans to add audio preparation blocks, starting with noise filtering, giving developers more control over how recordings are processed before transcription.

By pairing open-source development with enterprise-grade deployment, Makimoto complements Toku’s existing customer experience platform and supports long-term innovation opportunities across the Group’s AI roadmap.

Developers can create a free account at makimoto.ai, open the Chained Analysis template and run a sample recording, or one of their own call recordings, through it; each account includes 1,000 free minutes. Feedback reaches the Makimoto team directly from the portal.

About Toku

Headquartered in Singapore, Toku Ltd. (SGX Catalist: TKU) is a cloud-native, AI-powered customer experience platform purpose-built for enterprises operating in complex, multi-market environments. With deep roots in the APAC region and an expanding global footprint, Toku’s modular 360° CX Platform orchestrates customer interactions across voice, chat, email and digital channels while managing regulatory, linguistic and infrastructure complexity at scale.

Built on end-to-end ownership of its technology stack, from carrier-grade connectivity to AI applications, Toku delivers enterprise-grade security, reliability and deployment flexibility in commercial cloud, private data centres and hybrid environments. Its AI capabilities include transcription, summarisation, sentiment analysis, conversation analytics and governed virtual agents, designed to integrate seamlessly with enterprise systems and customer data.

Trusted by leading enterprises and public-sector organisations, Toku helps organisations streamline operations, scale customer engagement and deliver consistent experiences in fragmented markets worldwide.

For more information about Toku, visit toku.co.

About Makimoto

Makimoto is Toku’s open-source initiative, operated through Makimoto Technology Pte Ltd, a wholly owned subsidiary of the Toku Group, dedicated to building composable conversational AI infrastructure for Asia-Pacific. Its releases include Makimoto Kawa, a Singapore-hosted transcription API; summarisation and tagging endpoints; and Makimoto Flows, a visual builder for composing speech AI pipelines. For more information about Makimoto, visit makimoto.ai.

Forward-Looking Statements

This press release contains forward-looking statements regarding Toku’s expansion plans, business strategy and planned product releases. These statements are based on current expectations and assumptions and are subject to risks and uncertainties that could cause actual results to differ materially. Toku undertakes no obligation to update these statements to reflect subsequent events or circumstances.

Sponsor’s Statement

Toku Ltd. (the “Company”) was listed on Catalist of the Singapore Exchange Securities Trading Limited (the “Exchange”) on 22 January 2026. The initial public offering of the Company was sponsored by PrimePartners Corporate Finance Pte. Ltd. (the “Sponsor”). This press release has been reviewed by the Sponsor. It has not been examined or approved by the Exchange and the Exchange assumes no responsibility for the contents of this press release, including the correctness of any of the statements or opinions made or reports contained in this press release. The contact person for the Sponsor is Ms. Ng Shi Qing, 16 Collyer Quay, #10-00 Collyer Quay Centre, Singapore 049318, sponsorship@ppcf.com.sg.

Investor Relations Contact:
investor.relations@toku.co

Developers and Partners:
contact@makimoto.ai  

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Conscious Spark LLC Launches Alphimiya® Neuro-Recalibration Framework Designed to Resolve C-Suite Revenue Plateaus

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55 minutes ago

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October 21, 2026

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New research-backed neuro-recalibration framework targets the autonomic nervous system’s threat response to managing high financial amounts, offering enterprise leaders a biological pathway to scaling.

ANTALYA, Turkey and ALBUQUERQUE, N.M., Oct. 21, 2026 /PRNewswire/ — Conscious Spark LLC, a research and advisory firm specializing in applied neuroscience for executive leadership, today announced the official launch of Alphimiya®, a proprietary C-suite neuro-recalibration framework designed to resolve corporate revenue plateaus by upgrading the biological capacity of enterprise decision-makers.

Developed to address the root causes of stalled enterprise growth, the Alphimiya® framework targets the human autonomic nervous system’s subconscious threat response to managing high financial amounts. When commercial leaders and CEOs attempt to scale past historical capital thresholds without recalibrating their stress response, the body’s natural survival mechanism triggers decision fatigue, strategic risk aversion, and systemic self-sabotage. Alphimiya® recalibrates this biological safety brake, enabling executive teams to hold, absorb, and scale larger financial volumes without physiological or operational friction.

“A corporate revenue plateau is rarely an operational or marketing failure; it is a biological safety brake embedded within executive leadership,” stated Dr. Ahmed Al-Nashi, Founder of Conscious Spark LLC. “When managing high financial amounts triggers an underlying physical stress response, the enterprise subconsciously contracts to remain in its perceived safe zone. Alphimiya® removes that biological friction, allowing C-level leaders to multiply revenue with calm, biological authority.”

The Alphimiya® framework restructures executive performance across three core operational pillars:

Sovereign Enterprise Scaling: Expands the nervous system’s tolerance for high-stakes capital, allowing leadership teams to scale revenue without experiencing executive burnout.

High-Value Deal Execution: Regulates autonomic stress responses during multi-million-dollar negotiations and volatile market entries, eliminating hesitation under pressure.

Restored Strategic Clarity: Removes chronic decision fatigue across C-suite teams, restoring mental focus and strategic presence inside and outside the boardroom.

By recalibrating the autonomic nervous system’s response to high capital exposure, Alphimiya® removes the subconscious biological brakes that lock corporate revenue at a standstill. Senior C-level executives and enterprise leadership teams seeking to evaluate their organization’s biological capacity can access the official executive briefing, case studies, and framework assessment directly at https://alphimiya.co/.

About Conscious Spark LLC

Conscious Spark LLC is a U.S.-registered firm specializing in executive education, training, and strategic performance consulting. Pioneering applied neuroscience for C-level leaders, founders, and commercial decision-makers, the firm utilizes its proprietary Alphimiya® methodology to enable leadership teams to recalibrate biological stress responses, resolve revenue ceilings, and build scalable corporations.

Media Relations Team
Conscious Spark LLC
Email: hello@consciousspark.online 
Website: https://alphimiya.co/

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Daffodil Software Brings Multilingual Conversational AI to Aadhaar’s Udai Mascot

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55 minutes ago

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October 21, 2026

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GURUGRAM, India, Oct. 21, 2026 /PRNewswire/ — Daffodil Software showcased an AI-powered conversational experience featuring UIDAI’s Udai mascot at Aadhaar Samvaad 2026. Developed by Daffodil Software, the assistant is designed to help users access Aadhaar-related information through natural conversation, using official UIDAI as its reference knowledge base.

Daffodil Software has developed Udai, an AI-powered virtual mascot that helps users get clear, reliable answers about Aadhaar simply by talking to it. The assistant was showcased at Aadhaar Samvaad 2026, held in Kolkata on 29 September, coinciding with the 17th Aadhaar Day, where visitors watched it listen, respond, and gesture in real time in their own language.

For most people, questions about Aadhaar come up in daily life, and they usually need answers fast. Which documents do I need for an address change? How much does an update cost? How do I link Aadhaar to my bank account or mobile number? The answers exist, but finding them usually means working through long help pages and documents.

 Udai is designed to answer exactly these questions in a natural conversation, without anyone having to search through long help pages.

A conversation in the user’s own language

Udai speaks and understands 11 languages: Hindi, Tamil, Bengali, Telugu, Kannada, Malayalam, Marathi, Gujarati, Punjabi, Odia, and English. A user simply asks a question. Udai listens, works out the answer, and replies in the same language, with natural speech, matching lip movements and expressive hand gestures.

What sets Udai apart is how it is built. AI avatars rely on expensive, specialised graphics hardware to bring a face to life. Udai takes a simpler route. The character is created from pre-filmed footage, and its lip movements are matched to its speech in real time using lightweight processing that runs in a web browser.

The result is a smooth experience at 24 frames per second on ordinary servers, at a fraction of the usual cost per user. For a programme that serves hundreds of millions of people, that efficiency is what turns a nationwide rollout from an ambition into a practical plan.

“Our focus with Udai was to make Aadhaar-related information easier to access through natural conversation. Combining multilingual voice interaction with official reference content allowed our team to build an experience that is practical, approachable, and useful to users,” said Yogesh Agarwal, Founder and CEO, Daffodil Software.

Answers drawn only from official sources

The assistant uses official UIDAI material as its reference knowledge base: frequently asked questions, provisions of the Aadhaar Act, and government policy documents on Aadhaar services. It covers the topics users ask about most:

Enrolment and registrationAddress and demographic updatesFees, required documents and eligibilityeKYC and Virtual IDLinking Aadhaar with bank accounts, PAN and mobile numbersmAadhaar servicesGrievance redressal

Users don’t need to phrase their questions in any particular way. Udai understands everyday language, whether a question is spoken in English, Hindi, or asked in a mix of both, and finds the most relevant official information to answer it.

Built to be accurate, respectful, and secure

When a public service speaks directly to users, trust matters as much as convenience. Udai is protected by three layers of safeguards.

Accuracy first. Udai answers only from its verified knowledge base. Responses are grounded in a curated knowledge base of official UIDAI material. If a question falls outside Aadhaar, it guides the user back rather than offering an answer it cannot stand behind.

Respectful conversations. A screening layer catches abusive or offensive language in English, Hindi, and Hinglish before it reaches the assistant. Screening is designed to identify abusive language while supporting legitimate queries

Protection against misuse. Udai cannot be talked into abandoning its role, pretending to be someone else, revealing its internal setup, or answering beyond its approved scope. These checks work almost instantly, so users experience no delay.

What comes next?

Udai is planned to roll out in two phases.

In the first phase, the mascot will be placed in Aadhaar Centres. Visitors will be able to check information and understand processes on their own, such as which documents they need for an address change. This frees centre staff to focus on their core work instead of answering the same questions again and again.

In the second phase, Udai will come to the Aadhaar website and mobile app, taking the place of the current text-based chatbot, which was also built by Daffodil.

About Daffodil Software

Daffodil Software is a software engineering and AI solutions company serving businesses across industries. Its services span software consulting, product engineering, UI/UX design, AI/ML development, quality assurance, cloud and DevOps, and maintenance. The company serves sectors including healthcare, fintech, banking, technology, and digital commerce. Its client portfolio includes organizations such as the Reserve Bank of India, Mount Sinai Hospital, Maruti, Samsung, Pramerica Insurance, and Dangote Group. Daffodil Software has also been featured in industry research and recognition by Gartner, Everest Group, Zinnov, and Frost & Sullivan. For more information, visit https://www.daffodilsw.com

Media contact

Kunwar Pal Singh
media-relations@daffodilsw.com

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