Category: Technology

With live demonstrations across humanoid robotics, machine vision, and smart city, AAEON will highlight how advancements in edge AI can be turned into creative market solutions.

Taipei, Taiwan – May 25,Award-winning provider of embedded AI solutions AAEON (Stock Code: 6579) will showcase a variety of new and exciting edge AI solutions across areas such as humanoid robotics, smart transportation, and healthcare at COMPUTEX 2026, held from June 2^nd to June 5^th at the Taipei Nangang Exhibition Center.

Date: June 2 – June 5, 2026

Booth: #J1310 (Taipei Nangang Exhibition Center, Hall 1, TaiNEX 1)

Venue: Taipei Nangang Exhibition Center

Throughout the exhibition, AAEON will showcase a number of live demonstrations featuring products from across its portfolio, including a speak-and-command robot featuring the BOXER-8741AI, built on NVIDIA Jetson T5000 module, developed with NVIDIA DeepStream SDK and NVIDIA TAO Toolkit.

COMPUTEX will also give visitors an insight into AAEON’s upcoming MAXER-5000 AI inference server, powered by NVIDIA Jetson T5000 module. At the AAEON booth, the platform will be used to run a spatial AI agent application from ANIWEAVE powered by Avalanche Computing’s compliance-ready generative AI software platform, built using NVIDIA NemoClaw open source stack.

On AAEON’s MAXER-5100, equipped with two NVIDIA RTX PRO^TM 4000 Blackwell SFF Edition GPUs, Red Pill Lab’s multi-camera, multi-actor markerless motion capture system NeoCore will be on show, developed using NVIDIA Isaac Sim open reference framework and digital twin technology.

Similar to the focus placed on agentic AI solutions, AAEON will showcase a range of demonstrations centered on humanoid robotics and automation. The first of these will be an interactive robot that selects candy using an EPIC-PTH9-controlled robotic arm and delivers it to visitors via a quadruped robot built on the PICO-ARU4.

In addition to this, demonstrations featuring both the UP Xtreme PTL Edge system and UP Xtreme PTL developer board will be present, both equipped with Intel Core Ultra Series 3 processors. The former will be a robotic arm, while the latter will be an AI-powered pill defect detection application developed in conjunction with Neurocle.

Further demonstrations will cover a wide variety of use cases, from industrial safety SOP monitoring to a contactless heart rate monitoring device.

Moreover, an AI-driven humanoid PCB inspection display will be prominently displayed at the Robotics & Edge AI Pavilion (TWTC Exhibition Hall 1, Robotics A0618), powered by Intel.

This demonstration will show a comprehensive agentic AI solution featuring a disaggregated architecture designed to segment inspection, analysis, and decision-making workflows. The primary controllers of each of these functions will be the CEXD-INTRBL, AAEON’s new open robotic development system, the EATX-W890A, an upcoming workstation motherboard featuring Intel Xeon 600 processors, and the BOXER-6650-PTH, a fanless embedded controller equipped with a range of Intel Core Ultra Series 3 processors.

Outside of live demos, AAEON will debut a number of upcoming products from its 2026 roadmap, including a range of products equipped with the new Intel Core Series 3 Processors for the Edge (formerly Wildcat Lake), such as the de next-WCL8 and multiple UP developer boards and edge systems of varying configurations.

Additional unreleased products on show will give visitors an insight into the investment that AAEON has made in developing its choice of RISC computing platform range, including products integrating new technologies from MediaTek, Texas Instruments, Qualcomm, and NXP.

“As a company, we are always seeking new ways to help our customers turn their ideas into market-ready solutions,” said Howard Lin, CEO of AAEON Technology. “During this year’s COMPUTEX, visitors will see that our booth not only showcases world-class products from across our portfolio, but presents a broad range of engaging demonstrations that illustrate how these very platforms can be used to build, develop, and scale applications in new and exciting ways” Lin added.

Make sure to visit AAEON at Booth #J1310, located in Hall 1 of the Taipei Nangang Exhibition Center (TaiNEX 1), where the AAEON team will be on site to discuss the company’s offerings, give insight into live demos, and help make the event a memorable one.

Cloud.X Turbo Deployment for beIN Asia Pacific Transformed Live Sports Delivery Across 12 APAC Markets Through a Hybrid-Remote Broadcast Hub Supporting 40+ Simultaneous Live Events With 99.99% Uptime

SINGAPORE – May 22, 2026 – Planetcast, a global leader in media services and technology, today announced it has won the “Sports Broadcasting – Singapore” category at the 2026 Asia-Pacific Broadcasting+ Awards for its Cloud.X Turbo deployment powering beIN Asia Pacific’s live sports broadcast operations.

“With Cloud.X Turbo, Planetcast redefined live sports broadcasting across APAC through a purpose-built hybrid-remote architecture that centralized operations into a single managed hub supporting more than 40 simultaneous live events with broadcast-grade reliability, ultra-low latency and intelligent automation,” said Sanjay Bhat, CEO, Planetcast. “This deployment demonstrates how broadcasters can scale premium live sports delivery more efficiently across diverse markets while building a more agile and future-ready operating model.”

Planetcast was recognized for transforming beIN Asia Pacific’s live sports operations through a first-of-its-kind hybrid-remote architecture powered by Cloud.X Turbo and centralized through Planetcast’s Singapore facility. The deployment replaced fragmented, manual SDI-based workflows with a centrally managed hybrid SDI + IP broadcast infrastructure, using SRT over IP for low-latency contribution and distribution, designed to deliver greater scalability, flexibility and reliability for premium live sports programming across the region.

The platform supports more than 40 simultaneous live events across 17 channels (16 linear + 1 FAST), affiliates and 24 OTT streams throughout 12 APAC markets, including Australia, New Zealand, Singapore, Malaysia, Indonesia, Thailand, Hong Kong and the Philippines. The transformation powers coverage of some of the world’s largest sporting events, including Formula 1, the UEFA Champions League, LaLiga, Bundesliga, Roland-Garros and the Australian Open.

As part of the deployment, Planetcast introduced intelligent automation through its Cloud.X Turbo platform, including its built-in Feed Management and Distribution System (FMDS), enabling zero-touch workflows, dynamic sports playout, real-time content orchestration and centralized feed management across all channels, affiliates and OTT streams. The project also achieved measurable operational improvements, including significant reductions in operating costs, manpower requirements and technical faults while maintaining 99.99% uptime and ultra-low latency playout.

Planetcast’s award-winning deployment for beIN Asia Pacific reflects the growing shift toward hybrid-remote and IP-first broadcast operations as media companies look to scale live sports delivery with greater efficiency, flexibility and resiliency. The project establishes a new operational model for managing premium live sports across multiple markets and platforms while reducing infrastructure complexity and operational overhead.

 BOSTON: May 22, 2026 – Vodia Networks, Inc., a provider of unified cloud communications solutions to enterprises, contact centers, and service providers, is pleased to announce the recording of the company’s May 14, 2026 webinar, “Vodia PBX V70: Admin Interface, Analytics, AI, and Multi-Tenant Performance,” is now available on demand.

 This webinar introduced attendees to V70’s completely revamped admin portal and interface, new inbound and outbound AI agents, built-in automation, and scalable multi-tenant performance. Sales Engineer Eric Altman and VoIP Engineer Hamlet Collado hosted the webinar, which also included a live Q&A session.

Why Watch the V70 Webinar?

This webinar is a deep dive into V70, which Vodia officially released in March. V70 features snapshots and centralized remote provisioning to reduce operational risk, alongside custom dashboards, emergency alerts, Jitsi Meet, and WhatsApp Business integration.

 V70’s latest features and improvements include:

 ●      Admin interface

●      Call capacity

●      Cross-tenant presence and BLF sharing

●      Custom dashboards

●      Emergency alerts

●      External presence sharing

●      Inbound and outbound AI agents

●      Jitsi Meet

●      Snapshots

●      Skills-based routing

●      Multiple supported operating systems

●      WhatsApp Business integration

Prior to the webinar, Eric Altman joined Doug Green, publisher of Technology Reseller News, to discuss V70 in detail on the Technology Reseller News podcast. 

What’s next?

Vodia continues to expand and improve V70, and the company has already evolved the platform to V70.2. Development will continue throughout 2026 with ongoing improvements focused on real-world deployments, scalability, and operational visibility.

User Feedback Matters

Vodia believes the best way to improve its platform is by working closely with its partners and customers. 

The creator economy currently faces a hidden crisis that affects those who spend all their time creating content. Creator fatigue represents a different type of exhaustion that exists beyond traditional burnout. The situation results from an ecosystem that designers created under the belief that humans should create content at machine-like rates forever without any actual support systems. The premise functioned adequately for several years. However, now the cracks are visible, and entertainment brands that depend on creator output are beginning to feel the consequences. 

The smartest people understand that the situation requires immediate action instead of hoping for a natural solution. They plan to redesign their entire content creation process from the ground up.

The Scale of the Problem 

The numbers are striking. Studies across markets consistently show that creator burnout is no longer a fringe phenomenon; it is a majority experience. A widely cited survey found that over 70 percent of full-time content creators reported experiencing significant burnout, with posting consistency dropping sharply after the 18-to-24-month mark. The operational risk facing entertainment brands that built their content strategy around creator partnerships creates talent management challenges that extend beyond mere workforce issues. Meanwhile, the demand side of the equation has only intensified. Platform algorithms now reward frequency at levels that were unimaginable five years ago. YouTube Shorts, Instagram Reels, and the relentless churn of TikTok-adjacent formats have created an environment where a creator posting three times a week is considered low-volume. The implicit expectation is daily and sometimes even more. The creative output of humans cannot maintain that frequency without incurring costs to quality. The first aspect to diminish is originality. Next, content organizations will experience difficulties maintaining their operational procedures. The creator’s authentic voice will be the last thing to disappear because it requires the most effort to recreate. Brands face a risk of overconcentration because they rely on the outputs of one specific creator. Creator fatigue has made that risk acute.

What AI Content Engines Actually Are

The term “AI content engine” gets used loosely, and that looseness does the concept a disservice. It is worth being precise. An AI Content Engine functions as a tool that creates content through machine operations that link together their power at various levels. Content creators will work faster because they can use AI content engines for their work. The system operates as a production layer that handles all tasks that involve repetitive work and require extensive time for content development. 

This enables human employees to focus on their essential creative responsibilities. Different brands will experience distinctly different operational outcomes from this process. Creative teams will create initial drafts in minutes through AI-assisted scripting instead of spending hours on blank-page writing. Automated repurposing can process long-form videos into ten short-form clips, which display platform-appropriate captions and thumbnails without requiring human editors to work two days on the project. The system provides AI-generated visual assets that enable brands to maintain their design standards across multiple formats without requiring design team approval.

Creative judgment remains necessary because all applications depend on it. The need to execute work disappears, but people still require creative energy to handle their tasks. The critical distinction between input and execution requires special attention because most discussions about AI content creation fail. Entertainment needs to be studied because it requires high levels of content production, while its talent requirements create complicated relationships. The brand from the entertainment sector uses multiple channels, which include media houses, streaming services, gaming companies, and IP-led consumer brands to deliver products to customers. 

Brands sell their customers emotionally engaging experiences, which it aims to deliver through its products. The audience expects that the brand will deliver new content to them every month. It requires ongoing contact, which should happen several times within that time period. The historical volume of production required organizations to hire more creators, editors, and writers. The model can expand, but it will impose high costs during its growth process because it does not solve the fatigue problems that continue to exist between employees. The distribution of work requirements to multiple employees needs additional team members to accomplish all required tasks, yet the total work obligations stay unchanged. AI content engines provide organizations with a significant advantage because they allow creative teams to produce more output while their individual workload stays the same. An AI-powered content production system enables a four-person team to create output that previously required eight to ten staff members because AI handles all the non-creative tasks required for content creation. The situation represents a major improvement that organizations need to achieve to stay afloat.

The Talent Retention Argument

The dimension of AI content engines that operate as a creator retention tool needs more attention in the current discussion. The entertainment sector funds these systems because they provide more than just operational benefits. Brands need top creative talent to maintain their operational success because those staff members generate all brand-related ideas and essential cultural capital. An organization relies on all its key talent to create brand-essential content to operate the entire organization. The creator or content leader who spends 60 percent of their work time on production tasks will not complete valuable work responsibilities, performing tasks that will exhaust them. This drain will create the same creator fatigue pattern that exists throughout the entire creator economy. The organizations that use AI tools to remove production responsibilities from their creative teams will observe their teams remaining for longer periods while delivering better strategic work and experiencing happiness with their jobs. The ROI case, framed this way, is straightforward.

The Risks That People Need To Recognize

The complete examination of this transformation requires us to recognize its authentic tensions. AI systems produce content that becomes predictable when humans fail to monitor their output. Brands that use content that falls into the algorithmic middle create products that lack a unique identity yet deliver efficient production capacity. Entertainment brands that use AI content engines to replace creative judgment rather than support it will likely find themselves with more content that means less.

The authenticity question exists as a critical issue for categories that depend on creator-driven content development. Audiences have developed advanced skills to identify the absence of an authentic human voice. The entertainment brands that successfully navigate this process operate through two core principles. They maintain audiovisual transparency of production work while their AI system research works to improve human insights that form the core of their content development.

The technology operates as a tool for production work, while humans continue to develop all aspects of the creative strategy.

What This Looks Like in Practice

The entertainment brands leading this shift share a few common characteristics. They dedicate their time to creating brand voice documentation that AI tools could follow with complete operational reliability. They established AI technology to function at different stages of the production process instead of replacing entire systems. The creative team needs to understand the purpose of the technology because it exists to enhance their work capacity instead of restricting or replacing their abilities.

The results that occur under these specific situations can be measured through four metrics. The entertainment content economy experiences creator fatigue as a growing structural issue. The answer is not to push creators harder, but instead to create operational systems that enable creators to maintain long-term creative productivity.

The brands that develop their creative infrastructure right now will maintain powerful creative teams who attract audiences until 2027.

REPS patented technology converts vehicle traffic into electrical energy. In 6 months since first it has generated over 6,700 kWh of electricity from real traffic conditions.

Tyrol, Austria – May 22: Every day, enormous amounts of energy are lost through motion, pressure, and vibration. On roads, that loss is constant, predictable, and concentrated in the same places over and over again: entrances, exits, curves, speed-limited zones, loading areas, and any point where heavy vehicles naturally slow down. REPS was built to recover that wasted mechanical energy and convert it into clean electricity at scale, using infrastructure that already exists.

Today, REPS announced a $23.6M equity financing round to scale its Road Energy Production System, a patented “road power plant” that converts vehicle traffic into electrical energy.

What REPS is building 

REPS stands for Road Energy Production System. Its core product is a patented road power plant that installs directly into existing road infrastructure and harvests energy from trucks and cars driving over it, without disrupting traffic flow or logistics operations.

The technology is particularly effective where vehicles naturally slow down or brake, or where slopes create additional force. REPS is initially targeting ports, logistics hubs, cities, industrial sites, and other high-traffic infrastructure operators that want to reduce energy costs while improving sustainability.

“Roads are everywhere. Traffic is everywhere. What was previously wasted energy can now be transformed into clean electricity through REPS,” said Alfons Huber, Founder and CEO of REPS. 

REPS says its converter delivers 254x higher efficiency than the next-best alternative currently on the market, and unlike weather-dependent renewables, the system operates independently of time of day and weather conditions.

Why this matters 

Most renewable energy has focused on generating new power through solar and wind. REPS takes a different approach by recovering energy that’s already being wasted. The company’s first application is roads, where the energy lost through traffic alone could theoretically cover around 5% of global electricity demand.

The broader opportunity sits inside a category called energy harvesting, converting lost mechanical impulses into usable electricity. REPS believes the reason energy harvesting hasn’t become a major force in the energy transition is straightforward: existing mechanical converters have historically failed on efficiency and durability, which makes the economics fall apart. REPS had to reinvent the energy converter itself to unlock a system that can operate under heavy traffic conditions for more than 20 years and amortize within years.

Proof in the field

The first commercial REPS system has been operating at the Port of Hamburg since November 2025. Since then, more than 115,000 trucks have crossed the system, generating over 6,700 kWh of electricity from real traffic conditions.

The Hamburg deployment has translated into strong international demand. Following the launch, the company is engaged with over 90 parties from the port industry alone, spanning Europe, the Middle East, Asia, and North America, and it says interest has now expanded beyond ports to logistics hubs and cities.

REPS also shared internal projections for what scale could look like. A rollout of around 230 systems across the Port of Hamburg’s public roads, excluding terminals, could generate approximately 10 GWh of electricity per year, enough to power around 2,800 households, and offset roughly 9.81% of the CO₂ emissions caused by port traffic. The return on investment in that scenario would be below four years.

On a city scale, the company estimates that deploying around 64,000 systems in a city the size of Dubai could recover approximately 3.2 TWh of electricity annually, equivalent to about 10.8% of the city’s total energy consumption today. 

Justin Karnbach, CEO of Hamburger Container Service GmbH, said ” The installation at our facility demonstrates the potential of REPS: where vehicles have to brake anyway, clean energy is recovered and can be used directly where we need it. Without any interference with traffic and without additional space.”

Jens Maier, CEO HPA and President of the International Association of Ports and Harbors, added: “We can’t wait to see REPS in action – not just in the Port of Hamburg, but throughout the city and far beyond, all over the world. The Port of Hamburg aims to achieve climate neutrality by 2040. HPA actively supports this ambition by implementing innovative technologies. REPS is a future-orientated technology that generates electricity from previously unused energy sources, making a significant contribution toward achieving climate neutrality. With its high volume of truck movements and its role as a central logistics hub, the Port of Hamburg offers ideal conditions to test technologies like REPS under real-world conditions.”

The origin story

REPS was founded after Alfons Huber dropped out of his physics degree and spent 6.5 years developing the technology while defending his inventor rights against two universities. That work ultimately led to what REPS describes as the world’s first operational road power plant, now running at the Port of Hamburg.

“We spent six years developing the technology. Now the scaling phase begins. The strong demand from ports and logistics operators worldwide confirms the need for our solution, and with this financing round we can now scale at the speed required by the energy transition,” added Alfons Huber.

What’s next

Longer term, REPS sees roads as the first proof point for a broader energy-harvesting platform. The ambition is to turn high-traffic infrastructure into decentralized power assets, capturing energy that’s already being wasted and making it economically meaningful at scale wherever high masses move at high frequency.

Elisabeth Zehetner, State Secretary for Energy, Startups and Tourism, said “Start-ups are no longer a side topic, they are the innovation lab of our economy. This is where technologies like REPS from Austria are created. REPS is innovation made in Austria and showcases what our founders are capable of: they don’t just make small adjustments; they transform entire systems. A road becomes a power plant, and existing infrastructure becomes a building block for a sustainable future. Our role in politics is clear: we must ensure that start-ups find the right framework conditions in Austria. With the Start-up Umbrella Fund, we aim to make sure that innovation is financed, developed, and scaled here in Austria and Europe instead of eventually returning to us as an import from the U.S. or Asia”

May 22 QKS Group announced today that it has named BPC as a leader in the SPARK Matrix™: Digital Banking Platform, Q2 2025.

Akhilesh Vundavalli, Principal Analyst at QKS Group, states, “BPC is strengthening its position in digital banking by extending its deep payments and transaction-processing heritage into a unified, omnichannel Digital Banking Platform. Built on the SmartVista Digital Core and Open API architecture BPC allows institutions to move beyond front-end digitization toward transaction-led digital banking. BPC’s differentiation lies in its ability to natively orchestrate complex payment rails, wallets, and card ecosystems while delivering consistent experiences across mobile, web, agent, POS, and assisted banking channels. With these capabilities, BPC position itself as a pragmatic enabler for banks seeking to scale digital adoption, expand financial access, and modernize customer engagement without overhauling their core systems.”

The QKS Group SPARK Matrix™ includes a detailed analysis of the global market dynamics, major trends, vendor landscape, and competitive positioning. The study also provides a competitive analysis and ranking of the IT Service Management Tools providers in the form of the SPARK Matrix™. The study also provides strategic information for users to evaluate different vendor capabilities, competitive differentiation, and market positions.

QKS Group also recognized the growing convergence between banking, payments, commerce, and embedded financial services, where institutions increasingly require unified platforms capable of orchestrating customer engagement, merchant enablement, real-time payments, digital onboarding, and ecosystem-based financial experiences through composable and API-driven architectures.

Among 28 evaluated vendors, QKS Group positioned BPC as a Leader, highlighting SmartVista Digital Banking platform as a platform that provides advanced digital onboarding, AI-driven customer. SmartVista was recognized as BPC’s composable, API-first Digital Financial Ecosystem Platform that helps banks, fintechs, PSPs, governments, and merchants launch secure, personalised, and real-time financial experiences across consumer, SME, merchant, wallet, agent, and embedded finance ecosystems.”. Built on microservices and supported by advanced integrational capabilities through open APIs, it enables rapid deployment of new services. The platform supports end-to-end payments, digital onboarding, eWallets, QR payments, SoftPOS, personal financial management, AI-assisted customer engagement and intelligent financial servicing, , digital lending, embedded finance, kiosks and agent banking, helping institutions modernise legacy infrastructure, build super app ecosystems, expand financial inclusion and compete with fintech-driven banking models. The platform also supports contextual engagement, real-time decisioning, and hyper-personalised customer journeys across banking and commerce interactionsThe platform’s support for embedded finance, merchant digitisation, QR ecosystems, SoftPOS enablement, digital distribution, and super-app experiences positions BPC strongly for institutions looking to converge banking, payments, and commerce into unified customer ecosystems

Imran Vilcassim, Global Chief Commercial Officer, Digital Financial Ecosystems, BPC: “

“SmartVista enables banks, fintechs, PSPs, governments, and ecosystem players to rapidly launch secure, intelligent, and real-time financial experiences across banking, payments, commerce, and embedded finance ecosystems. The platform’s composable and API-native architecture allows institutions to accelerate innovation, orchestrate personalised financial journeys, modernise merchant engagement, and scale digital financial services without the complexity of core replacement.

We are honoured that QKS Group has recognised BPC as a Leader in the SPARK Matrix™. This recognition reflects the strength of our platform, our deep transaction-processing heritage, and our continued commitment to helping customers build inclusive, agile, and future-ready financial ecosystems in an increasingly real-time and embedded financial economy.”

Open ecosystem initiative enables connected workflows, richer context and coordinated remediation across security environment

New Delhi, May 22 — Tenable® Holdings, Inc. (NASDAQ: TENB), the exposure management company, today announced the Tenable Open Partner Exchange Network (OPEN), the next evolution of its technology partner ecosystem, designed to help organizations unify security data, accelerate AI-driven workflows, and operationalize exposure management across their existing technology stack.

As AI accelerates the speed and scale of cyber threats, security teams are struggling with fragmented tools, disconnected workflows, and growing operational complexity. Tenable OPEN extends the power of the Tenable One Exposure Management Platform through an open ecosystem of integrations, data exchange, and orchestration capabilities that help organizations reduce cyber risk faster.

Built on more than 330 validated integrations, Tenable OPEN helps organizations connect security data, workflows and tools across the enterprise. Through bi-directional integrations and the new Open Connector, customers can ingest third-party telemetry into Tenable One while exporting exposure insights into downstream workflows, analytics and remediation systems. By connecting security data, context and action across the stack, organizations can reduce blind spots, streamline operations and accelerate remediation efforts, security workflows, analytics, and remediation. 

“No single vendor can see everything. The data that defines cyber risk is inherently distributed across the enterprise. That’s why openness is foundational to our strategy,” said Eric Doerr, chief product officer, Tenable. “With OPEN and the Open Connector, organizations can bring together data from virtually any security tool, including third-party technologies, internal systems and emerging AI-driven workflows. We don’t ask customers to replace their existing security stack to get value from Tenable. We connect to it, unify the data and turn it into actionable exposure intelligence.”

Tenable® is the exposure management company, exposing and closing the cybersecurity gaps that erode business value, reputation and trust. The company’s AI-powered exposure management platform radically unifies security visibility, insight and action across the attack surface, equipping modern organizations to protect against attacks from IT infrastructure to cloud environments to critical infrastructure and everywhere in between. By protecting enterprises from security exposure, Tenable reduces business risk for over 40,000 customers around the globe. 

Agent Blueprint Language™ (ABL) compounds returns and compresses agent delivery from months to days 

SAN MATEO, Calif., May 21, 2026 — Kore.ai, the global leader in agentic platforms and applications, today launched the new-generation Kore.ai Agent Platform Artemis edition, the AI-programmable, AI-native foundation that builds, governs, and optimizes the agents, systems, and workflows running across the enterprise. The platform launches initially on Microsoft Azure, with broader cloud availability to follow. 

The new-generation Agent Platform enables enterprises to deploy production-ready multiagent AI systems in days instead of months, with governance, observability, and operational control enforced before any agent goes live. Three core innovations make the platform fundamentally AI-native: 

Agent Blueprint Language™ (ABL): ABL is a compiled, declarative language that standardizes how AI agents, systems, and workflows are defined, validated, and governed. Six built-in orchestration patterns (supervisor, delegation, handoff, fan-out, escalation, and agent-to-agent federation) enable resilient, production-grade multiagent systems at scale. 

Arch™: Kore.ai’s AI agent architect translates business objectives into production-ready ABL, supports the full agent lifecycle, designs the underlying agent topology, and continuously refines agents using real-world production traces. 

Dual-Brain Architecture: Two cognitive engines (combining agentic reasoning and deterministic flows) operate in parallel through shared memory, authored in a unified language and governed by a single runtime. 

The platform operates independently of the model, keeping AI systems predictable, auditable, and scalable from experimentation to production-grade operations. 

“Enterprise AI is entering its third wave, where governance, observability, and trust define success at scale,” said Raj Koneru, CEO and Founder, Kore.ai. “The Kore.ai Agent Platform reflects this shift by bringing an AI-native architecture to market that enables enterprises to build, manage, and optimize multiagent systems with confidence. This level of depth comes from a decade of delivering AI experiences in complex, regulated environments, where scale, compliance, and reliability are non-negotiable.” 

The Business Case: AI Building, Governing, and Optimizing AI 

ABL and Arch put AI in charge of every stage of the agent lifecycle: 

• AI building AI. Arch generates production-ready agents from plain-language objectives, writes them in ABL, and validates them before deployment. Agents that once required months of bespoke engineering now ship in days as compiled, reviewable blueprints.
• AI governing AI. Every decision, path, and outcome is logged, traced, and analyzed by AI in real-time. Deterministic constraints and flow controls are enforced by the platform itself, not left to the agent.
• AI optimizing AI. The platform learns from production signals and recommends specific improvements as reviewable optimizations, with human oversight built in. 

“To scale AI with confidence, enterprises need a standardized agent building system and the enforcement of robust governance,” said Vaibhav Bansal, Vice President at Everest Group. “Kore.ai’s strong investments in advancing agentic AI capabilities and governance, combined with a consistent focus on delivering measurable business outcomes, have positioned Kore.ai as a Leader in the Agentic AI Products PEAK Matrix® Assessment 2026.” 

What This Means for Today’s CIO, CISO, and CFO 

The Kore.ai Agent Platform changes what enterprise AI delivers, what it costs, and what it can be trusted to do: 

• For the CIO, AI becomes manageable and accelerated. The platform consolidates fragmented third-party and home-grown agents into one foundation and accelerates delivery from quarters to days across every department and business unit.
• For the CISO, AI behavior becomes predictable. Governance is enforced at the platform layer, outside the model’s control. Every agent action and policy decision is logged, timestamped, and traceable to a specific regulatory control.
• For the CFO, AI investment compounds. Arch, ABL, and the runtime are shared infrastructure across every agent, so the marginal cost of the Nth agent approaches the cost of authoring its blueprint. Every model upgrade improves every agent already running.

Microsoft Azure: Initial Launch Partner 

The Kore.ai Agent Platform launches initially on Microsoft Azure and is built natively on the Microsoft Azure stack across compute, identity, AI, and security. For Global 2000 enterprises already standardized on the Microsoft stack, the platform integrates with Microsoft Foundry, Microsoft Agent 365, Entra ID, and the Microsoft Graph API, and powers a native Microsoft Teams channel through the Azure Bot Framework. Kore.ai is also a launch partner for Agent 365. 

“Enterprises are moving agentic AI from experimentation to operations, and that shift requires a foundation built for production. The Kore.ai Agent Platform integrates with Microsoft Foundry and Microsoft Agent 365, giving customers a governed environment to build, deploy, and operate AI agents with the identity, security, and observability that Microsoft customers expect,” said Stephen Boyle, CVP, Enterprise Partner Solutions, Microsoft. 

Customers Say 

“We’ve had early visibility into the Kore.ai Agent Platform, and the architectural rigor stands out. Compiled blueprints, governance in a separate deterministic layer, and one language for every agent are the design choices enterprise AI has been missing.” – Keyur Parikh, Head of Workplace Technology Strategies and Services, Vanguard 

“The question every enterprise is asking is how to move AI from pilot to production without creating compliance exposure. What stood out about Kore is that governance is architectural, not an afterthought. That is what it takes to get AI approved for the work that actually matters.” – Arunkumar Ramakrishnan, Director of Enterprise Technology, Blue Cross Blue Shield of Massachusetts

Built for the Global 2000 

The platform meets enterprise security, compliance, and deployment requirements from day one: SOC 2 Type II, ISO 27001, PCI DSS certified; FedRAMP Moderate Authorized; HIPAA-aligned; HiTrust and GDPR compliant. Real-time PII tokenization, tenant isolation, and immutable audit trails apply to every agent action. Customers deploy in public cloud, sovereign regions, private cloud, or on-premises, with data residency by region. The platform supports 40+ voice and digital channels and 300+ integrations across Microsoft A365, Salesforce, HubSpot, Jira, GitHub, and core banking, healthcare, retail, and telecom systems. 

For more than a decade, Kore.ai has been one of the world’s leading providers and pioneers of AI-native enterprise software, enabling 500+ Global 2000 organizations to run mission-critical business workflows, including some of the largest names in banking, healthcare, insurance, retail, and global service operations.

• Precision: answers sourced from real business data, cited and referenced so teams can stand behind them. 
• Efficiency: trusted answers at lower cost, lower token usage, no analyst required, full context on the first response. 
• Safety: nothing goes out before a human approves it, with full audit trails and the ability to undo any agent action. 

• Shared Memory: personal, team, and organizational memory that compounds over time
• Trusted Answers: intent-aware search and consistent data answers. Same question, same answer, every time. Computer doesn’t guess – it knows, and it shows its work.
• Safe Actions: governed, auditable actions across your systems. Computer acts on your behalf with guardrails, so teams move faster without risk.
• Multiplayer AI: shared live sessions for human-to-human, human-to-AI, and team-wide collaboration
• Skills – reusable workflows that any team can build, share, and deploy. One person’s expertise becomes everyone’s capability. Agent Studio allows users to build and deploy AI agents with sandboxed testing, full audit trails, and rollback

• Text2SQL: analytical queries across structured data in plain language, no data analyst required
• Connectors: Gmail, Outlook, Slack, Notion, Google Drive, Jira, Microsoft OneDrive, SharePoint, and any MCP-compatible tool
• Usage-based pricing: that scales with adoption and not headcount

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With an IP67-rating and support for four GMSL2 cameras, AAEON’s BOXER-8629AI has been recognized as a standout due to its potential to resolve deployment challenges across diverse environments.

Taipei, Taiwan – May 21 – Leading edge AI platform provider AAEON (Stock Code: 6579) is proud to announce that it has been honored with the Category Award for the BOXER-8629AI at the COMPUTEX Best Choice Award. The awards ceremony is due to take place during COMPUTEX Taipei, held from June 2^nd to June 5^th at Taipei Nangang Exhibition Center.

The BOXER-8629AI is a rugged, compact, IP67-rated advanced fanless embedded AI system powered by NVIDIA Jetson Orin Nano with DRAM directly on-module and high optimized memory efficiency for AI workloads. Despite measuring just 135mm x 120mm x 87.5mm, the system is equipped with a broad selection of features conducive to integration in autonomous vehicle, smart city, and other emerging sector applications. Central to this is the BOXER-8629AI’s support for four GMSL2 cameras for high-bandwidth, low-latency video acquisition, GNSS, 9-axis sensor, and IMU module support, as well as native CAN FD for actuator and motor control.

The product’s market potential is augmented by its rugged design, key for deployment in harsh industrial and outdoor environments. The BOXER-8629AI is IP67-rated, with its external I/O ports featuring O-ring sealing to the same standard to prevent water and dust ingress during operation.

AAEON has also highlighted the system’s modular design as a benefit to integrators, with custom I/O panels available for the purpose of meeting different project requirements. Meanwhile, the system is equipped with a broad 12V to 24V power input range with built-in ignition control and protection circuits, as well as military-grade vibration, shock, and drop resistance.

AAEON is honored to receive the award, particularly given the prestige of being highlighted by a platform that has been central to recognizing the functionality, innovation and market potential of new technological solutions for over 20 years. COMPUTEX, Asia’s largest annual ICT exhibition, plays a key role in showcasing the very best products that industry leading companies have to offer, providing a one-stop procurement platform for global buyers across industry segments.

The BOXER-8629AI will be on display at both the AAEON COMPUTEX booth (#J1310, 1^st Floor, Hall 1), as well as the award-winning products display area (4^th Floor, Hall 2) throughout the duration of the event.