Technology
The AI Race Is Shifting from Model Capabilities to Application Advantages
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1 hour agoon
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Token prices for models with comparable capabilities have plunged by more than 99%, prompting a reassessment of Chinese platform companies’ comparative advantages
FUZHOU, China, Nov. 4, 2026 /PRNewswire/ — With inference costs for models offering performance comparable to early GPT-4 falling from US$37.50 per million tokens in March 2023 to US$0.18 in February 2025, the AI race is no longer solely about model performance. A new research report from the Research Institute of Economics and Finance at CHINA INDUSTRIAL SECURITIES CO.,LTD. (CISC) indicates with the rapid decline in token prices, AI is evolving from a costly, specialized technology into widely accessible infrastructure, potentially shifting the focus of value creation from AI models to applications and platforms. This shift has made Chinese platform companies’ comparative advantages deserve a reevaluation.
1. Plunging Prices: AI Is Becoming Infrastructure
Improvements in open-source models have been raising the bar for proprietary models, noted the Research Institute at its Investment Strategy Conference in May 2026. It predicted price competition would erode returns from selling tokens alone and push AI value creation further upstream and downstream. That trend is now beginning to take shape.
According to data from Epoch AI, the lowest inference price for models with capabilities comparable to early GPT-4 fell from US$37.50 per million tokens in March 2023 to US$0.18 in February 2025, a decline of more than 99%. Meanwhile, Silicon Data’s token cost index dropped 52%, from a recent peak of US$2.0651 per million tokens on May 28, 2026, to US$0.9861 on September 5.
Whether measured against a fixed performance benchmark or actual market spending, the trend is clear: Comparable-capability AI becomes more accessible at rapidly falling costs. As model capabilities become more widely available, AI is evolving from a technology with high barriers to adoption into affordable, accessible infrastructure in an accelerated manner.
2. Lessons from History: Falling Costs will Fuel Demand
Historically, once costs of a critical resource fall below a certain threshold, demand often grows at a nonlinear rate.
During the U.S. IT revolution, prices for information processing equipment fell 46.5% between 1985 and 1990, while real consumption rose to approximately 5.5 times its initial level. By 1995, prices had dropped 80.7% from 1985. Consumption growth then accelerated further, with real consumption in 2000 reaching approximately 8.7 times its 1995 level.
The rollout of 4G followed a similar pattern. Between 2011 and 2013, China’s average mobile data charges fell from CNY 369 per GB to CNY 205 per GB but still at a high level. Over the same period, average monthly mobile data usage per user rose only modestly, from approximately 73 MB to 139 MB. Following the issuance of 4G licenses in late 2013 and the start of large-scale commercial deployment in 2014, mobile data prices decreased much more sharply. Between 2014 and 2018, average charges plunged 93.5% from CNY 131.3 per GB to CNY 8.5 per GB, while average monthly data usage per user increased roughly 22-fold, from approximately 0.20 GB to 4.42 GB.
These historical examples point to a common pattern: when an essential resource becomes more affordable and widely available, demand previously constrained by high prices can be rapidly unlocked. For AI, the steep decline in the cost of accessing comparable levels of intelligence suggests model usage is expanding beyond a limited set of scenarios toward broader, more frequent deployment at scale.
3. A Shift in Competitive Focus: From Building Better Models to Using AI More Effectively
Once a general-purpose technology becomes widely available as an underlying capability, competition often shifts from who possesses the technology to who can make the best use of it.
As PCs and internet access became widespread, web portals and search engines emerged as focal points of competition. Once mobile internet infrastructure matured, new forms of applications such as short videos rapidly gained traction. History has repeatedly shown that the more a technology comes to resemble essential infrastructure, the more possibilities of application innovation. Value creation also tends to move away from the underlying technology toward application integration, product design and user engagement.
Smartphones and app stores had already established the foundations for mobile devices and app distribution during the 3G era. The arrival of 4G further transformed the mobile internet by enabling more video-centric, real-time and transaction-based services. In 2013, the number of mobile video users and mobile online gaming users grew 83.8% and 54.5% year over year, respectively. In 2014, smartphones overtook PCs as the primary device for watching videos online. By 2016, both ride-hailing and online food delivery services had attracted more than 200 million users in China. In 2018, the number of short video users reached 648 million, while that of mobile online payment users totaled 583 million.
Ultimately, lower connectivity costs did more than drive higher data consumption. They gave rise to a host of high-frequency applications spanning video, gaming, payments, e-commerce and local services.
4. A Reassessment of Chinese Platform Companies’ Comparative Advantages
Falling token costs are expected to increase AI model use, lifting demand for upstream hardware. At the same time, they will make it easier to integrate AI into frequently used applications and services across content, gaming, advertising, office productivity, transactions and local services.
Past waves of technological innovation show that when the cost of a key element declines, the greatest opportunities for growth often emerge at the application layer. As model prices stabilize or fall further, AI value creation is likely to extend further beyond the model layer to upstream and downstream segments of the industry.
This transition calls for a reassessment of Chinese platform companies’ comparative advantages. As AI competition shifts from model performance to real-world applications, factors such as the breadth and depth of application scenarios, user base size, the strength of supporting industrial ecosystems and engineering capabilities will become increasingly important.
Against this backdrop, China’s advantages in complex application scenarios, its vast user base and well-established industrial ecosystem could become increasingly valuable as AI evolves into widely accessible infrastructure. Correspondingly, companies best positioned to capture value in the next phase may no longer be limited to model providers, but could also include platform and application companies with closer ties to users, real-world applications and industry workflows.
Potential risks: Slower-than-expected progress in AI development and commercial adoption; rising uncertainty of global economy and policies.
View original content:https://www.prnewswire.com/news-releases/the-ai-race-is-shifting-from-model-capabilities-to-application-advantages-302928969.html
SOURCE CHINA INDUSTRIAL SECURITIES CO.,LTD.
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Technology
NUHS, SINGTEL AND ERICSSON EXPAND PARTNERSHIP TO ADVANCE NEXT-GENERATION CONNECTED HEALTHCARE
Published
28 minutes agoon
November 4, 2026By
Extended collaboration will accelerate research and development in advanced connectivity and emerging 5G Advanced & future 6G technologies for Healthcare of the Future.
SINGAPORE, Nov. 3, 2026 /PRNewswire/ — The National University Health System (NUHS), Singtel and Ericsson today signed a Memorandum of Understanding (MOU), reinforcing their commitment to a strategic partnership to advance connected healthcare, 5G-Advanced and 6G technology, as well as connected intelligence.
The collaboration will focus on research and development, harnessing successive generations of telecommunications and artificial intelligence technology to deliver deployable healthcare applications. NUHS will provide clinical, academic and research leadership; Ericsson will contribute expertise in mobile network technologies, network architecture and future 6G research; and Singtel will contribute expertise in advanced network deployment and services.
As part of the collaboration, Singtel and Ericsson will be founding partners of NUHS’ newly established National University XG AI Centre (NXAC), which will serve as a platform for developing and translating network-enabled healthcare applications.
NXAC will bring together healthcare, telecommunications and technology expertise. The name “XG” reflects the Centre’s longer-term ambition to span successive generations of network technology, from 5G today towards 6G and beyond.
NXAC will be the world’s first 6G AI centre dedicated to healthcare, as well as Singapore’s first translational research and development centre, which aims to serve the global healthcare community. It will provide a platform for industry experts and healthcare professionals to co-develop and validate applications using next-generation network infrastructure and AI technologies.
Professor Yeoh Khay Guan, Chief Executive, NUHS, said: “Our interest in advanced networks and AI lies in what they can do for our patients across our 14 entities, and the healthcare professionals who care for them. By bringing together clinical and industry expertise, we hope to harness future generations of telecommunications technology into practical healthcare applications. These range from autonomous mobile robots supporting hospital logistics and patient care, to connected mobile devices that extend care into the home, AI-enabled intelligent fabric for the healthcare industry, and human augmentation for advanced surgeries.”
Growing R&D capabilities as a testbed for healthcare solutions
NXAC will support the translation of emerging technologies from research into real-world healthcare use. As a testbed, it will enable its team and industry partners to work alongside clinicians, nurses and operations teams to develop and evaluate technologies in a working hospital environment.
The collaboration will grow capabilities at the intersection of healthcare, telecommunications, AI and robotics. This will include joint training programmes, fellowships, internships and clinician-engineer collaborations, bringing healthcare and technology expertise closer. Additionally, the partners intend to jointly pursue public research and innovation funding, including the establishment of a corporate laboratory or equivalent industry-public research programme hosted by NUHS and undertaken through NXAC.
Mr Ng Tian Chong, Chief Executive Officer, Singtel Singapore, said: “As Singapore prepares for a rapidly ageing population and increasingly complex healthcare needs, we have an opportunity to fundamentally rethink how care is delivered with technology. Singtel is proud to bring our advanced network and digital capabilities to help realise NUHS’ vision of an intelligent, trusted and borderless healthcare system – one that empowers healthcare professionals and enables more Singaporeans to live longer, healthier and more fulfilling lives.”
Mr Daniel Ode, Head of Ericsson Singapore, Brunei and Philippines and Global Customer Unit Singtel, said: “Next-generation healthcare applications such as robotic surgery, holomedicine, and remote monitoring demand deterministic network performance that cannot be compromised. Through NXAC, Ericsson is proud to partner with Singtel and NUHS, contributing our global R&D and advanced network capabilities to translate innovation into clinical practice. By elevating clinical care standards and augmenting frontline clinical teams, we are further reinforcing Singapore’s global leadership as the benchmark for the AI-native hospital.”
Driving better outcomes for patients and hospitals
Through NXAC, NUHS aims to enable a future for proactive, personalised and continuous care, extending from the hospital into patients’ homes and communities. Connected wearables could support continuous monitoring and preventive care beyond the hospital, while ambient AI and contactless sensing could help care teams better understand patients’ conditions and identify potential risks.
Within hospitals, autonomous robotics could support logistics, medication delivery and patient support, while spatial intelligence and smarter facilities could improve the way hospitals manage their people, assets and infrastructure. Extended-reality technologies could also support robot-assisted surgery, holographic guidance, clinical training and remote specialist collaboration.
Together, these capabilities point towards a healthcare environment where technology works increasingly in the background to support clinical teams, make hospital operations more responsive, and maintain continuity of care across different settings.
Key innovation initiatives supported by next-gen connectivity
NXAC plans to spearhead initiatives built on the potential of emerging technologies, first supported by 5G and 5G-Advanced capabilities, with the programme designed to evolve towards early 6G.
Areas of development include:
Ambient AI healthcare: Supporting clinical workflows, contactless monitoring and earlier risk detection.Spatial intelligence and sensing: Developing real-time location and sensing capabilities to improve visibility of people, assets and hospital activities.Simulation-to-real-world development: Training and testing physical and AI-enabled systems in simulated hospital environments before real-world deployment.Autonomous healthcare facilities: Using AI, digital twins and predictive technologies to improve facilities management, reliability and sustainability.Connected devices and wearables: Connecting medical devices and wearables to support hospital operations and care beyond the hospital, including hospital-at-home and remote rehabilitation.Autonomous medical robotics: Exploring the use of autonomous robots for hospital logistics, medication delivery and patient support.Medical extended reality: Advancing applications for clinical education, remote specialist collaboration and surgical support.
Note to editors
The NUHS-Singtel-Ericsson MOU builds on five years of collaboration between them in exploring advanced connectivity for healthcare. Beginning with 5G infrastructure in 2021, the partnership expanded to the deployment of an indoor 5G network at NUH in 2022, covering 10 operating theatres and three inpatient wards when fully commissioned in November 2023.
In February this year, NUHS also formed a strategic partnership with the Global System for Mobile Communications Association (GSMA) GSMA Foundry, under which NUHS serves as the first global healthcare sandbox for the telecommunications industry. NXAC will serve as the global healthcare test-bed sandbox for over-the-horizon technology, that may be co-developed and validated here in NUHS.
Key terms
National University XG AI Centre (NXAC)
A translational R&D centre and testbed for developing and evaluating network-enabled healthcare applications.
XG
A reference to successive generations of network technology, from 5G today towards 6G and beyond.
5G-Advanced
The evolving generation of 5G capabilities that will support the programme before it progresses towards early 6G.
Connected healthcare
Healthcare applications enabled by connectivity linking devices, systems, care teams and settings.
Ambient AI healthcare
Applications supporting clinical workflows, contactless monitoring and earlier risk detection.
Spatial intelligence and sensing
Real-time location and sensing capabilities to improve visibility of people, assets and hospital activities.
Medical extended reality
Applications supporting clinical education, remote specialist collaboration and surgical support.
About the National University Health System (NUHS)
The National University Health System (NUHS) aims to transform how illness is prevented and managed by discovering causes of disease, development of more effective treatments through collaborative multidisciplinary research and clinical trials, and creation of better technologies and care delivery systems in partnership with others who share the same values and vision.
Institutions in the NUHS Group include the National University Hospital, Ng Teng Fong General Hospital, Jurong Community Hospital, Alexandra Hospital and the upcoming Tengah General and Community Hospital; three National Specialty Centres – National University Cancer Institute, Singapore (NCIS), National University Heart Centre, Singapore (NUHCS) and National University Centre for Oral Health, Singapore (NUCOHS); the National University Polyclinics (NUP); Jurong Medical Centre; and three NUS health sciences schools – NUS Yong Loo Lin School of Medicine (including the Alice Lee Centre for Nursing Studies), NUS Faculty of Dentistry and NUS Saw Swee Hock School of Public Health.
With member institutions under a common governance structure, NUHS creates synergies for the advancement of health by integrating patient care, health science education and biomedical research. As a Regional Health System, NUHS works closely with health and social care partners across Singapore to develop and implement programmes that contribute to a healthy and engaged population in the Western part of Singapore.
For more information, please visit www.nuhs.edu.sg.
About Singtel Group
Singtel Group is a leading Asia-based connectivity, digital infrastructure and services company with businesses and strategic investments globally that serve consumers, enterprises and governments.
The Group’s telecoms businesses include Singtel Singapore, Optus and regional associates Airtel, AIS, Globe and Telkomsel. Together, they give Singtel a significant footprint across Asia, Australia and Africa, reaching over 839 million mobile customers in 20 countries.
Its digital infrastructure business includes regional data centre arm, Nxera, and a joint investment with KKR in STTGDC. Digital services arm, NCS, complements this infrastructure with enterprise technology and AI solutions, while sovereign AI cloud RE:AI brings together Singtel’s AI capabilities.
As it powers the digital and AI economy, Singtel is dedicated to driving innovation and transformation to create new and exciting customer experiences, support enterprises in their digital transformation and shape a more sustainable, digital future.
About Ericsson
Ericsson’s high-performing, programmable networks provide connectivity for billions of people every day. For 150 years, we’ve been pioneers in creating technology for communication. We offer mobile communication and connectivity solutions for service providers and enterprises. Together with our customers and partners, we make the digital world of tomorrow a reality.
View original content to download multimedia:https://www.prnewswire.com/news-releases/nuhs-singtel-and-ericsson-expand-partnership-to-advance-next-generation-connected-healthcare-302929007.html
SOURCE National University Health System (NUHS)
Technology
BIT Group and Techtanium Sign MOU to Advance Tokenized Assets and Institutional Digital Finance
Published
28 minutes agoon
November 4, 2026By
The strategic partnership pairs Techtanium’s Digital Finance OS (DFOS) and banking technology with BIT Group’s on-chain financial infrastructure to establish a pathway connecting existing financial systems with tokenized assets and institutional liquidity.
SINGAPORE, Nov. 4, 2026 /PRNewswire/ — BIT Group, a digital asset financial infrastructure group, and Techtanium, a Singapore-based global fintech company, signed a strategic Memorandum of Understanding (MOU) to explore new opportunities for banks and financial institutions in tokenized finance. The MOU was signed by Eva Meng, Head of Matrixdock, on behalf of BIT Group, and Dai Ke, CEO of Techtanium.
By combining BIT Group’s tokenization, institutional custody and liquidity infrastructure with Techtanium’s digital finance platform and banking capabilities, the partnership aims to help banks access new asset classes, develop innovative financial products and explore new business models while building on their existing banking infrastructure.
Bridging banking infrastructure and on-chain financial services
As financial institutions explore tokenized assets and digital finance, the requirements extend beyond issuing digital assets. Institutions must also consider how these assets are safeguarded, managed, traded, and financed throughout their lifecycle while operating within institutional-grade standards for compliance, risk management, governance, security, and operational oversight.
The partnership brings together the complementary strengths of BIT Group and Techtanium:
Techtanium – Digital Finance Platform
Techtanium brings its Digital Finance OS (DFOS), a unified and modular platform designed to support banks’ evolution from traditional banking to next-generation digital finance. Combining Unified Core, Super Gateway, tokenization and end-to-end business orchestration capabilities, DFOS enables banks to develop, distribute and operate financial products and services across traditional and tokenized finance.
Beyond connectivity, the platform supports the underlying banking processes, including accounts, payments, settlement and ongoing operations, while enabling access to emerging digital asset ecosystems. This helps financial institutions expand their product portfolios, develop new customer offerings and explore new business models built on their established banking capabilities.
BIT Group – On-Chain Financial Infrastructure
BIT Group brings an established digital asset financial infrastructure ecosystem spanning asset tokenization, institutional custody, trading, liquidity, financing, and asset management. These capabilities are underpinned by BIT Group’s experience serving institutional clients, alongside its compliance, risk management, and operational frameworks. Within the BIT Group ecosystem, two specialized businesses contribute directly to the partnership:
Matrixdock, BIT’s real-world asset (RWA) tokenization platform established in 2023, brings proven experience in asset tokenization, reserve management, and on-chain settlement. Matrixdock’s institutional-grade offerings include tokenized gold (XAUm), tokenized silver (XAGm), and tokenized short-term U.S. Treasuries (STBT), supported by transparent and verifiable structures. Its precious metal products are further differentiated by established custody infrastructure in Asia and physical redemption capabilities. Availability is subject to applicable eligibility and jurisdictional restrictions.Cactus Custody, BIT Group’s institutional digital asset custody business, provides institutional custody infrastructure, multi-party computation (MPC) and off-exchange settlement solutions. Relevant BIT Group entities hold a Hong Kong TCSP licence and membership in the VQF Self-Regulatory Organization in Switzerland.
Developing institutional solutions and market opportunities
The partnership aims to help banks expand their financial offerings, from accessing tokenized assets and institutional liquidity to exploring bank-issued products, such as tokenized deposits. These opportunities could enable new services and business models while building on existing banking infrastructure, without necessarily replacing core systems, and maintaining banking-grade controls for compliance, risk management, security and operational controls.
Under the MOU, BIT Group and Techtanium intend to collaborate on joint go-to-market initiatives, solution development, and engagement with banks and financial institutions. Initial work will focus on identifying practical use cases and evaluating integration approaches. Specific initiatives and commercial arrangements will be agreed as the collaboration progresses.
Leadership perspectives
Dai Ke, CEO of Techtanium, said: “Tokenized finance is not simply about introducing new asset classes; it is about integrating digital assets and services into the way banks operate and serve customers. With our unified digital finance platform, banks can build on their existing capabilities and connect more easily with tokenization and institutional custody ecosystems, without necessarily replacing their core systems. Together with BIT Group, we aim to help banks pursue these opportunities and develop new business models that could shape the future of financial services.”
John Ge, Co-Founder and CEO of BIT Group, said: “Bringing traditional financial assets on-chain is just the beginning. For tokenized assets to operate at an institutional level, assets must also be securely held, actively managed, and supported by the infrastructure for trading, liquidity, and utility. BIT Group brings together these capabilities across the digital asset lifecycle. Through our partnership with Techtanium, we aim to connect this infrastructure with established banking systems and jointly develop new opportunities for financial institutions.”
About BIT Group
Founded in 2019, BIT (formerly Matrixport) is an integrity-driven global digital asset financial services group. Headquartered in Singapore with offices across seven countries and regions worldwide, the Group bridges traditional finance and digital asset markets through robust governance, advanced technological capabilities, and compliant operations. BIT provides institutional and professional investors worldwide with a comprehensive suite of digital asset services, spanning trading, custody, asset management, liquidity, and financing solutions, while facilitating the onboarding and adoption of Real World Assets (RWAs). Its entities hold licenses, registrations and other regulatory statuses across Singapore, Hong Kong, Switzerland, the United Kingdom, the United States, and Bhutan, subject to the scope of each applicable permission—including a Major Payment Institution (MPI) license in Singapore and FINMA authorisation as a manager of collective assets in Switzerland.
Website: https://www.bit.com/
About Techtanium
Techtanium is a Singapore-headquartered global fintech company advancing next-generation digital finance. Building on its holding group’s more than 40 years of banking technology expertise, Techtanium delivers its Digital Finance OS (DFOS), including Unified Core and Super Gateway, alongside solutions spanning core banking, lending, payments and other digital banking services. Its unified and modular approach helps financial institutions modernize existing operations, connect with emerging digital asset ecosystems and pursue new financial products and business models. Techtanium is also developing AI-powered financial services and agentic commerce, including agent-to-agent interaction, orchestration and transaction capabilities, to support new forms of AI-driven commerce. Techtanium has offices in Singapore, Dubai, Oman, Kuala Lumpur, Bangkok and Shenzhen.
Website: https://www.techtanium.com
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SOURCE BIT Group
Technology
IgniteTech Brings AI That Fixes, Tests and Ships Around the Clock to Enterprise Software
Published
28 minutes agoon
November 4, 2026By
Not an AI assistant. AI that takes the bug report, fixes it, tests it, ships it and tells the customer it is done, inside guardrails built on decades of software experience.
LONDON, Nov. 4, 2026 /CNW/ — IgniteTech, the AI-first enterprise software company, today detailed how it is bringing AI-run software development to enterprise customers, changing the relationship people have with their software. AI does not just assist developers. Working around the clock, it takes a customer’s bug report, finds and fixes the cause, tests the fix, deploys the update and tells the customer it is done, all automatically and within guardrails the company has spent years building. CEO Eric Vaughan will present it today at the Financial Times Future of AI Summit in London.
“When software breaks, you wait,” said Vaughan, who also leads Khoros and GFI Software. “You report the problem, and you are told it is in the backlog, the line of fixes waiting their turn. Backlog is a word this industry invented as a defense. This is the new age of software. If you report something broken today, it should be fixed by tomorrow morning.”
Khoros will bring this approach to its Aurora AI and Iris® AI platforms first, so community and social media customers can report a problem or ask for a feature and see it built into the shared product.
Every step is checked. Before writing a fix, the system interviews the person who reported the problem until it understands it, then reproduces the problem itself. A fix goes live only after passing automated tests, and the system then repeats the customer’s original steps on the live product to confirm it works before notifying them that the issue has been resolved. Feature requests follow the same path.
Two internal IgniteTech systems, used daily by dozens of employees, already fix and improve themselves this way: KnowledgeWell, an internal knowledge base, and Anvil, an account management system for one of the company’s largest product programs.
Vaughan, a software developer by background, wrote both systems himself in under two months, on purpose. “You cannot hand a change this size to an organization as a slide deck,” he said. “I needed to set the table: prove it in real production software, then build the harness that makes it repeatable. It is not my project anymore. It is how we build.”
In early September, Vaughan spent four days on a Texas jury with his phone off. While he was out, Anvil kept fixing and improving itself, shipping four releases and seventeen changes requested by five colleagues.
That harness is what IgniteTech is taking across its portfolio. The obvious question is what keeps software that builds itself from drifting away from what it was meant to do. IgniteTech’s answer is guardrails. Every product has a clear blueprint of its purpose and where it is headed, and every request is checked against that blueprint before anything is built. Requests that fit become features for every customer, and those that don’t fit go to a person to decide. Each product stays one product for every customer, with no custom versions to maintain. People still control logins and access, payments, deleting data and anything sent outside the company.
“The guardrails are the product,” said Vaughan. “Anyone can let AI write code. The hard part is the harness that decides what gets built, proves it works and keeps the product true to what it is for. We spent nearly four years building it on top of decades of building enterprise software the hard way.”
“People have experienced software the same way for decades: roadmaps measured in quarters and bugs that age in a backlog,” said Vaughan. “Anthropic and OpenAI have shown that AI can write most of their own code. We are bringing that to enterprise software, where customers feel it: software that works around the clock, fixes the reason a bug happened and not just the bug, and builds what you ask for. Five years from now, maybe sooner, people will expect all software to behave this way. We are at the front of it.”
IgniteTech says the approach is still in the early phase. It does not always build a feature the way the requester intended, and it makes mistakes. “So do people,” said Vaughan. “The difference is that this gets better every week.”
About IgniteTech
IgniteTech is a global, build-to-customer, AI-first enterprise software company helping organizations grow revenue, optimize expenses and transform through advanced, AI-driven solutions. Backed by over 30 years of experience in mission-critical software, IgniteTech has built a track record of successful company and technology acquisitions driven by rapid innovation. Since retooling the company in 2023 to become an AI-First innovation organization, IgniteTech has created three brand new, patent-pending, AI-powered innovations, Eloquens® AI, MyPersonas® and Adminio™ AI, along with AI capabilities across its entire portfolio of products.
Media Contacts
For Media Inquiries: media@ignitetech.com
For Business Inquiries: software@ignitetech.com
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SOURCE Ignite Enterprise Software Solutions, LLC
NUHS, SINGTEL AND ERICSSON EXPAND PARTNERSHIP TO ADVANCE NEXT-GENERATION CONNECTED HEALTHCARE
BIT Group and Techtanium Sign MOU to Advance Tokenized Assets and Institutional Digital Finance
IgniteTech Brings AI That Fixes, Tests and Ships Around the Clock to Enterprise Software
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