Category: Technology

MDI Gurgaon Strengthens Executive Learning with Programmes Focused on AI, Leadership and Business Transformation

Gurugram, India, October 13, 2026: As organisations navigate rapid technological change, evolving customer expectations, shifting market dynamics and growing sustainability imperatives, professionals are increasingly required to strengthen their capabilities and adapt to emerging business priorities. Addressing these evolving needs, Management Development Institute (MDI) Gurgaon has announced its November 2026 portfolio of Executive Development Programmes (EDPs), covering artificial intelligence, leadership, marketing, sustainability, communication, analytics, operations and project management. The programmes are designed to combine contemporary management perspectives with practical learning, enabling professionals to apply relevant frameworks and approaches to real-world business challenges.

Commenting on the portfolio, Prof. Sumita Rai, Dean IC, MDI Gurgaon, said,“The pace of technological and business change is making continuous learning increasingly important for professionals across industries. At MDI Gurgaon, our Executive Development Programmes are designed to bring together contemporary business perspectives, academic expertise and practical application. The November portfolio reflects this approach by addressing areas such as artificial intelligence, leadership, marketing, sustainability, analytics and project management. Through these programmes, we aim to enable professionals to strengthen their capabilities, make more informed decisions and navigate emerging business challenges with greater confidence and effectiveness. ”

Strengthening Leadership and Managerial Capabilities

Leadership and people management remain central to organisational performance. Leadership for Impact will focus on leadership competencies, values and ethical approaches that enable professionals to create greater organisational impact. Coaching and Mentoring for Building Effective Managers & Leaders will further explore coaching, mentoring, communication and interpersonal approaches that can help managers develop individuals, build effective teams and strengthen leadership capabilities.

The portfolio also includes Negotiation Strategies: A Win-Win Approach, which will focus on negotiation processes, conflict resolution, communication and collaborative outcomes. Problem Solving and Decision Making will address the processes and techniques required to evaluate alternatives, develop effective solutions and improve the quality of managerial decision-making.

Building Capabilities for an AI-Driven Business Environment

As artificial intelligence continues to influence business models, processes and decision-making, AI-driven Business Transformation will examine AI-led digital strategies, business applications of machine learning and emerging AI technologies, alongside considerations around AI strategy, leadership and risk.

Complementing this, Generative AI and Business Transformation: From Models to Markets will explore practical applications of generative AI across business processes, customer experience, innovation and decision-making, while also addressing considerations around responsible adoption.

Enabling Data-Driven Marketing and Customer Engagement

The marketing portfolio brings together programmes focused on growth, customer engagement and sector-specific marketing. Growth Marketing will explore full-funnel growth, experimentation and data-driven decision-making, while Marketing of Financial Services will examine customer-centric and digital approaches relevant to the evolving financial services landscape.

Customer Engagement and Digital Marketing Communication will focus on digital marketing, social media, communication strategies and customer engagement, helping professionals navigate an increasingly connected and digitally driven marketplace.

Advancing Sustainability and Responsible Business Practices

Sustainability continues to be an important consideration for organisations and business leaders. Sustainable Business Strategies and Analytics for UN SDGs and Climate Change Transition will examine sustainability strategies, ESG considerations, analytics and climate transition, while ESG Investing Practices will focus on the evolving ESG landscape and its relevance to investment and business decision-making.

Strengthening Communication, Operations and Project Capabilities

The portfolio also addresses critical capabilities across customer experience, supply chain, communication and project management. Customer Experience and Professional Communication for Managers will focus on customer engagement and effective managerial communication, while From Forecast to Fulfilment: Demand Planning, S&OP and Supply Chain Decision-Making will examine how organisations can translate forecasts into effective supply-chain decisions.

For professionals looking to communicate insights more effectively, Business Storytelling Using Data will explore approaches to presenting and communicating data-driven insights for greater business impact. The portfolio also includes Project Management, addressing the growing importance of structured project management capabilities as organisations increasingly rely on projects to respond to technological and business change.

The November portfolio reflects MDI Gurgaon’s broader focus on equipping professionals with capabilities relevant to an increasingly dynamic business environment. By bringing together AI, leadership, marketing, sustainability, communication, analytics, operations and project management, the programmes offer professionals opportunities to deepen their expertise while addressing contemporary organisational challenges.

Through its Executive Development Programmes, MDI Gurgaon continues to combine academic knowledge with practical business perspectives, enabling professionals across functions and industries to strengthen their capabilities, make informed decisions and contribute more effectively to organisational growth and transformation.

BHASHINI Enables Real-Time English-Spanish Translation at International Governance Programme in Mussoorie

Mussoorie, October 13, 2026: The Digital India BHASHINI Division (DIBD), under Digital India Corporation (DIC), Ministry of Electronics and Information Technology (MeitY), has facilitated real-time multilingual communication at an international capacity-building programme for civil servants at the National Centre for Good Governance (NCGG) in Mussoorie.

The Capacity Building Programme on Urban Service Delivery for Civil Servants of Multiple Countries is being conducted from October 12 to 23, 2026. Sponsored by the Ministry of External Affairs (MEA), the programme is organised by NCGG under the Department of Administrative Reforms and Public Grievances (DARPG) as part of India’s international cooperation and capacity-building initiatives through the Indian Technical and Economic Cooperation (ITEC) Programme.

The programme brings together civil servants and public-sector representatives from Peru, Cambodia, Nigeria, Kenya, Palestine, Lebanon, The Gambia, Ecuador and Spain. It provides a platform for participants to exchange experiences, share governance practices and explore approaches to improving urban service delivery.

As part of the initiative, BHASHINI deployed its Shrutlekh platform during the programme’s ice-breaking session to enable real-time translation between English and Spanish. The two-way translation facility allowed participants speaking either language to communicate more effectively, reducing language barriers and encouraging greater interaction among international delegates.

The deployment highlights BHASHINI’s Voice-First Multilingual AI approach, which aims to make digital communication and public services more accessible through speech-based language technologies. The initiative demonstrates how artificial intelligence can facilitate cross-cultural engagement and support inclusive participation in international governance and administrative training programmes.

The BHASHINI team also assisted participants in using Shrutlekh and introduced them to the broader BHASHINI ecosystem, including its multilingual AI capabilities and potential applications in healthcare, finance, agriculture and public service delivery. Delegates were encouraged to explore the BHASHINI mobile application and its features for overcoming language barriers in everyday communication and digital interactions.

Shrutlekh is expected to remain available throughout the programme until October 23, subject to operational requirements, enabling participants to continue using the translation facility during the training sessions.

The initiative underscores the growing role of AI-powered language technologies in international cooperation, knowledge-sharing and public-sector capacity building. By enabling communication across languages, BHASHINI is showcasing India’s capabilities in developing multilingual digital solutions that can make technology more accessible to diverse communities.

The engagement also reflects the potential of voice-first AI tools to support more inclusive governance, strengthen international partnerships and facilitate the exchange of administrative expertise across linguistic and cultural boundaries.

Hexnode XDR Adds Threat Intelligence, Alert Prioritization and Automated Remediation

Hexnode, the enterprise software division of Mitsogo, has expanded Hexnode XDR with new capabilities for threat detection, alert prioritization and remediation, alongside support for macOS. The enhancements address a persistent challenge for security teams: detecting a threat does not necessarily make it easier to resolve.

“We built Hexnode XDR around one complaint we heard constantly: security tools are good at telling you something is wrong, and bad at helping you do anything about it. More alerts was never the request. Fewer steps between the alert and the fix — that was the request,” said Apu Pavithran, CEO and Founder of Hexnode, during the HexCon26 opening keynote.

Delivering on that requires connecting security investigations to action on affected devices. Hexnode XDR’s native integration with Hexnode UEM brings threat detection, device intelligence and endpoint management together, helping teams contain threats and address the underlying exposure with fewer manual steps.

What’s new in Hexnode XDR’s detection and triage?

Hexnode XDR brings threat signals and supporting context into a centralized incident view, helping teams determine what happened and where attention is needed first.

The latest capabilities include:

·  Integrated threat intelligence: Integrations with Mandiant (Google Threat Intelligence) and Recorded Future cross-reference endpoint activity against external threat intelligence, helping identify known threats and indicators faster.

·     Sandbox analysis: Suspicious files can be examined in an isolated environment, with the results fed back into detection to provide additional context before teams take action.

·         Anomaly detection: Identifies unusual activity that may not match known threat signatures, helping surface new or previously unknown attack behavior.

·         Alert prioritization: Ranks alerts based on severity and urgency so analysts can focus on higher-priority activity rather than reviewing alerts in the order they arrive.

·         Asset scoring: Assigns endpoints a dynamic risk score based on defined risk parameters, helping teams identify which devices require closer attention.

·         AI-assisted investigation:Hexnode Genie AI provides plain-language alert summaries to support triage. Analyse with Genie uses live incident data to explain what happened, identify what is affected and recommend a fix.

To further reduce false positives, administrators can configure exclusion policies for trusted files, applications and processes, keeping investigations focused on activity that requires review.

How does Hexnode XDR streamline threat response?

Once a threat has been identified and prioritized, Hexnode XDR provides response capabilities designed to contain the incident and address the underlying endpoint risk.

·         Endpoint isolation: Enables one-click isolation of affected devices from the network while maintaining management access through Hexnode, helping contain potential threat spread while investigation and remediation continue.

·         Vulnerability management: Identifies vulnerabilities and missing patches, with remediation carried out through Hexnode UEM. This connects XDR threat investigation with endpoint patching, helping teams address the security gaps uncovered during an incident.

·         Automated remediation: Triggers predefined fixes based on configured rules and policies, reducing repetitive manual corrective actions.

Together, these capabilities connect detection with containment and follow-up remediation rather than leaving teams to coordinate each stage through separate workflows.

To keep key security information visible, custom dashboards allow teams to tailor their view to their role and monitoring priorities. Integrations with Splunk and QRadar also connect Hexnode XDR with existing security information and event management (SIEM) systems for broader investigation and reporting.

 How is Hexnode XDR building toward AI-assisted SOC operations?

Together, alert prioritization, asset scoring and automated remediation provide the context and response framework needed to support more AI-assisted SOC workflows, helping move security operations from identifying what matters to determining where action should be taken. Hexnode Genie AI complements this by drawing on live incident data to support investigation and response decisions.

Hexnode plans to build on this foundation with deeper AI-assisted investigation and orchestration across XDR and the wider Hexnode platform.

Integrated Power Services (IPS) Acquires Bold Renewables 

Blink-powered glasses could keep an eye on health

October 12, 2026

New smart glasses harvest mechanical energy from facial movements to power sensors

EVANSTON, Ill. — From blinking and smiling to jaw clenching and eyebrow raising, faces are constantly in motion — and generating tiny amounts of energy along the way.

Now, Northwestern University engineers are putting that energy to work.

In a new study, the team developed a wholly new type of smart glasses equipped with tiny sensors that harvest mechanical energy from facial movements and convert it into electrical power. Even a quick blink or an artery’s faint pulsing provides enough mechanical energy to activate the highly sensitive sensors.

To put their battery-free device to the test, researchers used the glasses to detect jaw clenching, teeth tapping, blinking and eyebrow raising. Not only did the glasses distinguish these movements from everyday activities like talking and eating, but it also recognized teeth tapping with 99% accuracy and jaw clenching with 96% accuracy. 

The advance could pave the way for common glasses to seamlessly monitor cardiovascular health, bruxism (inadvertent jaw clenching and teeth grinding), fatigue, eating behaviors and other activities throughout the day — without bulky batteries or regular charging.

The researchers will present this work, called GlassTENG, at 4 p.m. China Standard Time (4 a.m. EDT) on Thursday, Oct. 15 at UbiComp/ISWC 2026, a premier conference for ubiquitous, pervasive and wearable computing. “GlassTENG: Self-powered triboelectric nanogenerator based sensing of pulse, jaw and upper facial activity from everyday glasses,” is a part of the session “Eyewear Computing.” The paper is available in the Proceedings of the 2026 ACM International Symposium on Wearable Computers.

“The human face is a goldmine for health data, making everyday glasses the perfect wearable,” said Northwestern’s Nivedita Arora, who led the work. “Generally, wearables track health data, like heart rate, through the wrist. But people have to remember to wear those trackers and take them off to recharge. Our idea is based on the fact that half the population already wears glasses. We can turn those glasses into wearables without asking people to change their habits and behaviors.”

An expert in self-powered electronics, Arora is the Breed Chair Assistant Professor of Electrical and Computer Engineering and Computer Science at Northwestern’s McCormick School of Engineering, where she leads the Vasudhaiva Kutumbakam (VAK) Embodied Systems Lab. Raj Dave, Jovanis Prodanich and Yung-ching Lai — all master’s students in the VAK Embodied Systems Lab — are the study’s co-first authors.

A little static goes a long way

At the heart of the new glasses are three paper-thin devices called triboelectric nanogenerators (TENGs). Although the name sounds complicated, the phenomenon behind them is familiar: static electricity.

Anyone who has rubbed a balloon against their hair or pet a cat’s fur on a dry winter day has experienced the triboelectric effect. When two different materials come into contact and then separate, electrons can transfer from one material to the other, generating a brief electrical charge.

GlassTENG takes advantage of that same basic phenomenon. Each flexible sensor contains layers of materials that repeatedly press together and separate in response to facial movements. A blink, for example, pushes against one sensor. A clenched jaw activates another. Even the subtle pressure produced by blood pumping through an artery can push the sensors. 

“As the layers touch and separate, they generate a tiny voltage,” Arora said. “That means the very movement being measured supplies the mechanical energy needed to power its detection. In other words, a blink helps power the sensor that detects the blink.”

Three sensors, many signals

To capture as much information as possible, Arora and her team positioned three sensors at strategic locations around the glasses frame. One sits at the bridge of the nose, near the angular artery and muscles surrounding the eyes. There, it can pick up the pulse as well as blinking and eyebrow movements. Another sensor sits near the temple, where it detects the superficial temporal artery along with jaw movements. A third sensor sits closer to the ear, where it detects movements from chewing and clenching.

Together, the three sensors give the glasses different vantage points from which to “feel” the face’s movements. And the sensors are sensitive to a range of forces. An arterial pulse — the lightest force the researchers tested — generated electrical signals of about 50 to 100 millivolts. Blinks and eyebrow raises produced roughly 200 to 500 millivolts. Stronger jaw movements, including chewing and clenching, generated signals as high as 1.5 volts.

“These differences give various facial activities their own recognizable electrical signatures,” Arora said.

While wearing GlassTENG, 20 participants performed six activities: blinking, raising their eyebrows, clenching their teeth, tapping their teeth, eating and talking. The research team then used machine-learning algorithms to analyze patterns in the electrical signals and determine which activity each participant performed. Across the six activities, the system achieved 93.8% accuracy.

“One of the most exciting possibilities is using this technology to turn unconscious behaviors into opportunities for meaningful behavior,” said study coauthor Nabil Alshurafa, an associate professor of preventive medicine, computer science and electrical and computer engineering at Northwestern, where he has appointments at Northwestern University Feinberg School of Medicine and McCormick. “Imagine glasses that recognize when someone is clenching their jaw and gently prompt them to relax or detect eating and encourage mindful awareness of their habits. By combining cardiovascular and behavioral sensing within the same ultra-low-power platform, GlassTENG opens the door to studying how physiological states and everyday behaviors interact and to delivering personalized interventions at the moments they may be most helpful.”

Ultra-low power, big benefits

Beyond what GlassTENG can do, another big advantage is what it doesn’t need: electricity. Many existing wearables continuously draw power. Constant power consumption leads to bigger energy demands that require bigger batteries, which add weight and bulk. Batteries also need regular recharging, which presents another barrier to truly continuous health monitoring.

GlassTENG’s three sensors consume just 4.1 microwatts of power combined — orders of magnitude less power than many conventional sensing technologies. From there, it uses Bluetooth to stream data straight to a smartphone or tablet.

“In the long-term, we want to do on-device computation,” Arora said. “If it detected a physiological event, it could have on-device intelligence in a battery-free way that could give immediate feedback. For example, if it detected jaw clenching, it could immediately alert the user to relax their jaw. I think it’s only a matter of time until the glasses we wear everyday can monitor our health.”

“The future isn’t just wearables that tell us what we did,” Alshurafa said, “but wearables that help us recognize and change what we’re doing in the moment.”

The study, “GlassTENG: Self-powered triboelectric nanogenerator based sensing of pulse, jaw and upper facial activity from everyday glasses,” was partially supported by the Ansys, Inc.

Vodia Announces Vodia Wallboards

BOSTON: October 13, 2026 – Vodia Networks, Inc., a provider of unified cloud communications solutions to enterprises, contact centers, and managed service providers (MSPs), is pleased to announce Vodia Wallboards, a self-hosted platform for monitoring and displaying Vodia call queue activity.

When call queues build, teams need to see them immediately, not later on in a report. Vodia Wallboards gives supervisors, contact centers, service providers, and operations teams a live view of the queue activity that matters most; it connects one or more Vodia PBX servers, enables monitoring for the relevant tenants, and creates wallboards for a supervisor’s browser, an operations dashboard, or a dedicated TV display.

See Queue Activity as It Changes

Vodia Wallboards provides a live view of calls waiting, ringing, and active; agent availability and status; inbound and outbound call counts; service levels; abandoned calls; and average speed of answer. This is visibility built specifically around call queues. Teams can identify rising wait times, unavailable agents, or deteriorating service levels, all while there’s still time to respond.

Each widget can follow a wallboard’s queue filter or focus on a specific queue, allowing teams to move from a broad operational view to a more detailed queue view when necessary.

Ready-made layouts

Vodia Wallboards includes eight ready-made layouts for common operational needs, including NOC overviews, single-queue views, executive summaries, agent monitoring, multi-queue displays, and service-level trends. The drag-and-drop wallboard builder and library of 15 widget types make it easy to adapt a layout to the information each audience needs to see, including large KPI displays for a shared operations screen, detailed agent views for supervisors, or a focused wallboard for a particular queue. Widgets include queue-status cards, agent grids, active-call lists, service-level gauges, trend charts, alert feeds, and more.

Monitor queues across PBX systems

For service providers and larger deployments, one Vodia Wallboards instance can connect to multiple Vodia PBX servers. This makes it possible to display call queue activity from different customers, offices, or regions in one place, while keeping each tenant’s information appropriately scoped. Wallboards can also be branded per tenant with a logo and accent color, helping service providers present a consistent, customer-specific view.

Turn queue data into clear decisions

Vodia Wallboards helps teams move beyond raw metrics. AI Summary widgets can provide a plain-language assessment of current queue health using OpenAI, Claude, Gemini, or Ollama. Threshold alerts can notify teams by email when conditions such as waiting calls or abandonment rate exceed defined limits. For dedicated displays, TV Mode publishes a wallboard as a login-free URL. The display link provides read-only access to wallboard data without exposing settings or user management.

Secure, self-hosted deployment

Vodia Wallboards is self-hosted, giving organizations control over where the platform runs and how it is managed. Access can be scoped by PBX system, tenant, or individual queue. Administrator accounts use multi-factor authentication, and stored PBX credentials are encrypted at rest using AES-256-GCM. Vodia Wallboards requires Vodia PBX v69 or later with API access enabled.

Documentation is provided on the Vodia documentation website. Vodia reps can be reached via the Vodia website or via telephone at +1 (617) 861-3490.

ETASHA Society Launches “DigiSaksham” to Help Young People Spot Online Scams, Fake Jobs and Fraud

Gurugram, 9 October 2026: ETASHA Society today launched DigiSaksham, an online learning platform designed to help students and young people build digital literacy and online safety skills and recognise common online risks, including fake job offers, scholarship scams, phishing links, misleading information and payment fraud.  The launch, supported by BT Group and British Asian Trust, was attended by Chief Guest Mr Ian McBride, Head Responsible Business & Social Impact – India, BT Group.

 
For adolescents and young people from communities with limited exposure to digital platforms, the internet can be both an opportunity and a vulnerability. They use it everyday to search for jobs, build skills, access government services, prepare for competitive examinations or learn through YouTube. But the same digital space can expose them to fake job offers, scams, fraudulent messages, misleading information, unsafe links, privacy risks and financial fraud. The challenge is ensuring that they have the knowledge to question, recognise, protect and respond when something does not look right.

DigiSaksham is a free online learning platform developed by ETASHA Society to build practical digital literacy and online safety skills. It enables learners to understand digital risks, recognise warning signs and know what action to take. The knowledge can also be shared with family members and communities, helping create greater awareness beyond the individual learner. A digital safety initiative aiming to reach 20,000 people.

Quotes
“DigiSaksham is about making digital opportunities safer for everyone. Parents use phones, women and men go out to work, but the children at home can be the most vulnerable. By educating adolescents, youth and families, we are bridging the gap between digital opportunity and the responsibility to use it safely.” Dr. Meenakshi Nayar, Founder President, ETASHA Society
 “Online opportunities are enormous, but they come with risks. This launch today is another positive step in ensuring that everyone can participate in the digital world safely, confidently and responsibly. Also, yet another step towards building a safe and a more digital inclusive India. ETASHA as an organisation is consistently focussed on young people getting access to opportunities through education, employability and life skills. It is focused on outcomes rather than activities” Mr. Ian McBride, Head Responsible Business & Social Impact – India, BT Group.
Fact box
What: DigiSaksham, online digital literacy and safety platform
Who for: Students and youth, especially from underserved communities
Launched: 7 October 2026, Gurugram
Supported by: BT Group and British Asian Trust
Target reach: To skill 20,000 adolescents and youth

Partnership to Scale AI and Multi-Cloud Workloads Across Singapore, Australia and New Zealand

A partnership that enables centralized, observable, and scalable environments for AI and multi-cloud workloads across Singapore, Australia, and New Zealand 

• Orange Business APAC and Aviatrix join forces in the Asia-Pac region to expand the partnership beyond Europe by combining strengths to help enterprises connect, secure, and manage their cloud infrastructure.

• This partnership leverages the connectivity, managed services, and cybersecurity expertise of Orange Business, and the cloud-native networking and security capabilities of Aviatrix. 

Organizations within Asia Pacific namely Singapore, Australia, and New Zealand will soon benefit from the worldwide capabilities offered by Orange Business and Aviatrix following their collaboration in this region. This latest partnership sees the two companies delivering a joint value proposition that combines Orange Business’s global connectivity and managed services with Aviatrix’s cloud-native networking and security expertise, beginning with the three key markets above.  

The expansion further builds on the global partnership that Orange Business and Aviatrix announced earlier this year. Additionally, Aviatrix will also grant Orange Business first right of refusal for opportunities in China, Hong Kong, India, Malaysia, South Korea, and Taiwan. 

Orange Business is a global operator, digital solutions integrator and platform player and the enterprise division of the Orange Group, with more than 20 years of presence across Asia-Pacific. Aviatrix, founded in 2014, delivers the only secure networking architecture built specifically for the cloud, providing centralized security and visibility across every cloud environment from a single platform. 

In an increasingly AI-based landscape where organizations are drawn to innovate faster, scale more efficiently, and deliver new services to customers, AI workloads also expand the attack surface and increase the complexity of cloud networking. AI environments span multiple clouds, regions, containers, Kubernetes clusters, and AI agents. According to a study on 2026 global threat landscape (source: CrowdStrike 2026 Global Threat Report: Evasive Adversary Wields AI), a reported 82% of detections are now malware-free—adversaries use valid credentials and trusted identity flows to move through authorized pathways, bypassing traditional detection entirely. This is why organizations need secure, high-performance connectivity with consistent visibility, centralized governance, and policy enforcement that holds on whether a compromise has been detected.  

Orange Business and Aviatrix address this challenge by providing a secure, scalable foundation for multi-cloud and AI workloads:

• Securing distributed AI environments: Aviatrix secures the network traffic connecting AI data sources, models, and applications across multi-cloud environments. Built-in containment ensures that security policies hold as to whether a breach has been detected, with high-performance encryption at up to 100 Gbps cloud-to-cloud and up to 1 Tbps data-center-to-cloud.

• Simplifying multi-cloud networking: A centralized, software-defined platform for managing, monitoring, and securing cloud connectivity, thereby replacing fragmented, cloud-by-cloud approaches.

• Visibility and enforcement for AI workloads: See how AI applications communicate across clouds, identify risks, and enforce policy on AI-to-AI and AI-to-data connections—without adding architectural complexity.  

Additionally, the partnership seeks to benefit organizations in different areas. Firstly, organizations can expect to reduce the total cost of ownership by optimizing network usage and avoiding unnecessary costs. Real-time visibility into cloud resources and consumption supports more accurate financial planning through efficient traffic management and Aviatrix’s cloud-native capabilities that support real-time visibility into cloud resources and consumption.  

Secondly, the joint proposition offers secure connectivity within the cloud and to the cloud. This is achieved through the Orange Business Evolution Platform – a proven, high-performance network infrastructure that can integrate AI workloads with existing offices, data centers, SD-WAN, and security environments. Also, key to note: the Orange Evolution Platform infrastructure hosts Aviatrix in over 40 locations globally that allows Aviatrix to be deployed without additional hardware complexity, and with the flexible advantage of monthly billing option that supports different commercial and operating models, thereby easing an organization’s process in connecting and managing their cloud environments.  

Finally, the partnership also extends traffic visibility and policy enforcement across connected SD-WAN, LAN, and cloud networking environments as a standard managed service – helping organizations see what their workloads are doing, enforce consistent policy, and improve resilience across multi-cloud connectivity. Orange Business and Aviatrix support the full cloud networking lifecycle – from design and deployment through operation and optimization. Organizations can thus choose from self-service, co-managed, or fully managed operating models based on their business needs.

Haiqu Unveils AgenticOS, a System of Agents Solving Some of Physics’ Toughest Problems

R&D Teams Can Build Complete Quantum Projects from the Idea to the Experiment Itself, Verifying AI Results Every Step of the Way; Available Now

NEW YORK — October 9, 2026 — Existing AI models have advanced to the point that they can contribute to real science, but they have their limits. An AI agent can produce convincing math and working code, but it might alter the underlying science while doing so, leaving researchers with results that look right but aren’t. Today, Haiqu is addressing that by unveiling AgenticOS, giving quantum researchers a team of AI agents that are built for scientific exploration, and designed to catch mistakes before they happen.

In complex scientific calculations, general-purpose AI agents can make small changes no one asked for, like shifting a molecular geometry or slipping in an unapproved approximation. The calculation then answers a different question, or returns a result that is simply incorrect. With the Haiqu AgenticOS, researchers can now design an entire quantum project — from the initial question to an experiment that’s ready for quantum hardware — and assign multiple teams of AI agents to validate and confirm the research findings every step of the way. The team overseeing the experiment can then inspect each assumption and conclusion to determine how to proceed.

“Turning a promising research idea into a real experiment demands years of specialized, hands-on expertise in highly technical methods, all of which takes time and resources,” said Mykola Maksymenko, co-founder and CTO of Haiqu. “AgenticOS takes on much of that labor-intensive work, freeing up researchers so they can spend their time working on the right questions, reaching results much faster without sacrificing accuracy.”

AgenticOS builds on the Haiqu platform announced in May. A researcher starts with a question, and the system assigns teams of specialized AI agents to review the literature, work through first-principles mathematical derivations, assess quantum feasibility and check the results. Haiqu’s AgenticOS shows its investigative process as a map of connected research tasks. Results are checked against classical baselines, tests, critic agents and human review, with formal verification. Scientists decide what gets locked, which tasks run on their own and where a human signs off.

During a recent chemistry study accepted at the NeurIPS 2026 workshop in Paris focused on AI for Scientific Discovery, Haiqu demonstrated the need for its platform by giving leading AI agents the same research brief, with and without AgenticOS. On their own, four of 10 agent runs ignored an explicit setup instruction, resulting in widely different answers. Using Haiqu’s AgenticOS, the same models held to the approved protocol from start to finish and produced a simulated quantum result within approximately 3.4% of the exact diagonalization reference.

“Being able to organize, ground and check an AI agent’s work matters as much for scientific research as improving the models themselves,” said Richard Givhan, co-founder and CEO of Haiqu. “Every lab will soon have access to the same powerful AI. The ones that pull ahead will be the ones that can trust what it produces, and that’s exactly what we built AgenticOS to do.”

AgenticOS has already been deployed to work on one of the hardest problems in physics. The Hubbard model describes electrons hopping across a grid and repelling each other when they meet. Haiqu targeted a 2D “doped, frustrated with diagonal hopping” version of the model, which is used to study high-temperature superconductivity in copper-based materials known as cuprates. Starting from a scientist’s idea, AgenticOS built the experiment on a 3-by-3 grid, small enough to cross-check against an exact classical solution, and ran it on an IBM quantum computer. It reduced circuit depth by 75% and proposed a calibration that brought the hardware result in line with what an error-free quantum computer would produce using the same method. That shows a way to apply the same approach to larger simulations that classical computers can’t solve exactly. 

Haiqu’s platform serves enterprise teams testing individual use cases, university research labs and scientists from other fields looking to take their first step into quantum computing. Agents can help users determine if a specific quantum approach is worth pursuing, while mapping out algorithm options, identifying the assumptions and identifying the classical benchmarks needed to judge the result.

When a research plan is ready, AgenticOS hands it straight to Haiqu’s quantum software stack. The Haiqu SDK squeezes more out of today’s noisy hardware with data loading, circuit compression and error mitigation. The Haiqu Runtime then manages execution on simulators and quantum processors from IBM, IonQ, IQM, AWS and others, cutting time and cost by up to 1,000x. The same platform that helps a researcher frame the question can take the answer all the way to a quantum computer.

Availability

AgenticOS is included with the Haiqu operating system, and is available now to enterprise R&D teams upon request. Companies can request access and book a demo now.

Academic researchers can apply for free access to the Haiqu platform, including AgenticOS, through the company’s Academic Program. Participating labs get the Haiqu SDK. They can also apply for AWS credits to cover classical and quantum computing workloads.

Airrived Named a Cool Vendor in the 2026 Gartner® Coolest Vendor Innovations in Agentic AI Security

DUBLIN, Calif.–(BUSINESS WIRE)–Airrived, the company behind an enterprise Agentic OS designed to make every business user an AI expert, has been named a Cool Vendor in the Gartner Coolest Vendor Innovations in Agentic AI Security report published on October 2, 2026.