Welcome to this week’s edition of the NexaQuanta Newsletter, where we bring you the most relevant developments shaping enterprise AI, digital infrastructure, and emerging technologies. Our aim is to help business leaders and technology teams quickly understand where innovation is heading and how it impacts enterprise decision-making.
This week’s key highlights include:
- Datavault AI and IBM are enabling real-time, secure AI processing and data tokenisation at the edge
- Fiserv and Microsoft are embedding AI across fintech platforms to drive productivity and agentic intelligence
- Manus is joining Meta to scale autonomous AI agents for enterprise automation
- Google DeepMind and Boston Dynamics are advancing intelligent humanoid robots for industrial environments
- ChatGPT Health is introducing a privacy-first AI experience for health and wellness engagement
Datavault AI Expands Collaboration with IBM to Deliver Enterprise AI at the Edge
Secure, real-time data tokenisation and AI processing enabled through SanQtum AI infrastructure
Datavault AI has expanded its collaboration with IBM to deploy enterprise-grade AI at the edge using the SanQtum AI platform. The solution is operated by Available Infrastructure and runs IBM’s watsonx AI portfolio within a zero-trust edge environment.
The deployment enables organisations to process, secure, and tokenise data in real time, directly at the point of creation.
This approach reduces latency and avoids reliance on centralised public cloud infrastructure, which often raises security and compliance concerns for enterprises.
Real-Time Data as a Digital Asset
By running Datavault AI’s Information Data Exchange and DataScore agents on watsonx, enterprises can instantly transform raw data into authenticated, tradable digital property.
This supports use cases such as enterprise AI workloads, media analytics, identity verification, credentialing, and secure data commerce.
The architecture eliminates delays between data creation and monetisation while preventing tampering by keeping data within a zero-trust local network.
Edge Infrastructure Built for Enterprise Scale
SanQtum AI’s GPU-rich, distributed edge architecture is designed to deliver ultra-low latency, high security, and operational resilience.
The platform is expected to scale across multiple metro regions, supporting enterprises that require fast, secure, and compliant AI processing.
The collaboration highlights a broader shift toward edge-based AI models, enabling enterprises to unlock the full value of their data while maintaining control, security, and performance.
Here you can read more details about the news.
Fiserv Deepens Collaboration with Microsoft to Embed AI Across Its Platforms
AI-driven tools to enhance workforce productivity and accelerate fintech innovation
Fiserv has announced a strategic collaboration with Microsoft to further embed AI across its development platforms and internal operations.
The initiative aims to strengthen productivity, speed up innovation, and deliver greater value to financial institutions, businesses, and consumers.
As part of the collaboration, Fiserv is deploying Microsoft 365 Copilot across its global workforce. Employees will gain access to AI-powered tools designed to improve decision-making, enhance output quality, and streamline daily workflows.
AI Embedded in Development and Delivery
Fiserv is also expanding its use of Microsoft Foundry, an Azure-powered AI platform that supports the secure development, deployment, and management of AI applications.
The platform enables Fiserv to scale AI capabilities across products while maintaining strong governance and security.
The company has already processed more than 100 billion tokens using Foundry, improving product development, client servicing, and its internal developer ecosystem.
In parallel, GitHub Copilot is now used by over 8,000 Fiserv engineers, delivering measurable gains in developer productivity.
Moving Toward Agentic Intelligence
AI is already embedded across Fiserv’s platforms, supporting fraud detection, risk management, personalised engagement, and smarter payment decisioning. By integrating the latest generative AI capabilities, Fiserv is shifting from intelligent automation toward agentic intelligence.
The collaboration reflects Fiserv’s long-term strategy to responsibly embed AI across its operations, enabling faster innovation cycles, operational efficiency, and differentiated solutions for enterprise clients.
Click here to read more details about the news.
Manus Joins Meta to Scale Autonomous AI Agents
Manus has announced that it is joining Meta, marking a significant step in the commercialisation of autonomous AI agents. The move strengthens Manus’s ability to scale general-purpose AI systems designed for real-world execution.
What Manus Brings to the Collaboration
- A general-purpose AI agent built for research, automation, and complex workflows
- Proven scale, with over 147 trillion tokens processed
- More than 80 million virtual computers created to support agent execution
- A focus on reliability and end-to-end task completion, not just AI assistance
Why This Matters for Businesses
- AI agents move beyond recommendations to autonomous execution
- Enterprises can automate multi-step workflows with less manual oversight
- AI systems can operate as scalable execution layers across operations
What Stays the Same
- No disruption to existing customers or subscriptions
- Products will continue to be sold and operated through Manus’s app and website
- Operations remain based in Singapore
- Product direction and decision-making remain unchanged
What Comes Next
- Continued product iteration and performance improvements
- Potential expansion of Manus’s AI agents across Meta’s platforms
- Broader access to autonomous AI for enterprises at scale
Want to read more about this? Click here!
Google DeepMind and Boston Dynamics Partner to Advance Intelligent Humanoid Robots
Google DeepMind has partnered with Boston Dynamics to bring advanced AI intelligence to humanoid and mobile robots. The collaboration focuses on enabling robots to operate in unfamiliar environments and perform real-world physical tasks.
At the centre of the partnership is Gemini Robotics, Google DeepMind’s AI model.
What’s Being Deployed
- Gemini Robotics AI integrated into Atlas, a humanoid robot
- AI deployment on Spot, Boston Dynamics’ quadruped robot
- Capabilities focused on navigation, object recognition, and manipulation
These skills are essential for robots to handle manual and semi-structured labor tasks.
Real-World Testing in Industrial Settings
- Gemini-powered Atlas robots will be tested in automotive manufacturing facilities
- Testing will take place at factories operated by Hyundai, Boston Dynamics’ parent company
- The goal is to validate performance in dynamic, real-world environments
Why This Matters for Enterprises
- Humanoid robots can adapt to changing environments without reprogramming
- AI-driven robots may reduce dependency on fixed automation systems
- Enterprises gain flexible robotic labour for manufacturing and logistics
Click here to read more about the news.
ChatGPT Introduces a Dedicated Health Experience with Enhanced Privacy Controls
ChatGPT has introduced ChatGPT Health, a dedicated experience that brings together personal health information and AI intelligence in a secure environment.
The feature aims to help users better understand, organise, and navigate their health and wellness information.
Health and wellness already represent one of the most common use cases for ChatGPT, with hundreds of millions of users asking health-related questions each week.
ChatGPT Health builds on this behaviour with added safeguards designed specifically for sensitive health data.
What ChatGPT Health Enables
- Secure connection of medical records and wellness apps
- Health conversations grounded in a personal health context
- Support for understanding test results, appointments, lifestyle choices, and insurance options
- Long-term health pattern awareness, not just one-time queries
Supported integrations include platforms such as Apple Health, MyFitnessPal, and other wellness tools, where available.
Designed for Privacy and Data Protection
- Health operates as a separate, isolated space within ChatGPT
- Purpose-built encryption and data isolation for health conversations
- Health data is not used to train AI models
- Users are guided into the Health environment when conversations involve sensitive medical topics
Click here to read more about this news.
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