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IFS expands ecosystem of Frontier AI, Robotics, Grid Tech and Business Advisory by forging new partnerships with leading AI tech companies Anthropic, 1X Technologies, Siemens and collaboration with Boston Dynamics Industrial X Unleashed, New York, NY – November 13, 2025 – IFS, the leading provider of Industrial AI software, is today showcasing the next wave of AI innovation, applied for Industry. At its marquee event, Industrial X Unleashed, taking place in Tribeca, New York, the company shared its vision, demonstrated specific applications of IFS.ai in action within an industrial setting, as well as unveiled partnerships through applied customer examples. Opening the event, Mark Moffat, CEO of IFS said: “The opportunity to drive growth in our economy, as well as positively impact our society and planet using AI is now – but importantly, what will make a difference is applying AI in the industrial setting. The news headlines to date have been on the generic productivity benefits AI can provide to office-based workers, but IFS is uniquely positioned to deliver contextual and industry-specific AI to workers in the field. And that is where we will see the most impactful innovation and efficiency gains.” Driving growth in Industrial AI IFS showcased partnerships with some of the fastest-growth AI companies looking for further expansion by applying their capabilities with IFS.ai to the hardcore industries that IFS serves including: Aerospace & Defense, Energy, Engineering & Construction, Manufacturing, Telco, and Transport. Examples from the following areas included: Frontier AI Models: a partnership with Anthropic saw IFS Nexus Black launch Resolve, powered by Claude, as the first of many new IFS solutions that puts industry-specific AI directly into the hands of frontline workers to transform work and rapidly deliver value. Resolve enables customers to predict and prevent faults faster by interpreting multi-modal data such as video, audio, temperature and pressure, and complex schematics. The scenario was demonstrated through a real-world customer use case, William Grant & Sons – the world’s largest independent distiller. William Grant & Sons has worked with IFS Nexus Black and Anthropic to forward-deploy a field-worker productivity solution within weeks. This is already helping engineers anticipate and resolve maintenance issues before downtime occurs, improving asset reliability, reducing unplanned outages, and freeing teams to focus on higher-value production tasks. Physical AI and Robotics: a collaboration with Boston Dynamics was used to demonstrate how physical AI and robotics can leverage IFS’s industrial AI within a utility setting. Customer Eversource, New England’s largest energy delivery company, spoke to the many scenarios being planned to improve efficiency and service to the 4.4million homes it serves. In addition, IFS’s partnership with robotics manufacturer 1X Technologies was announced, opening the opportunity for 1X Technologies to take their humanoid robots into industrial settings. Grid and Power: A partnership with Siemens Grid Software was announced, using IFS.ai to re-architect tomorrow’s intelligent autonomous grid through asset investment planning and grid infrastructure upgrades. R “Ray” Wang, Principal Analyst, Founder and Chairman, Constellation Research commented:“We are finally witnessing leadership in the category of Industrial AI. While frontier AI models and infrastructure platforms grab headlines, the critical missing piece has been the orchestration layer, the industrial operating system that embeds AI directly into mission-critical workflows.” He continued: “Customers seek deep domain expertise from their trusted AI partners, especially in manufacturing, utilities, aerospace, and energy. The AI Age isn’t about adding AI features to legacy software. It’s about architecting the control plane for the next generation of intelligent industrial operations where autonomous execution happens at scale, in real-time and achieving decision velocity for tangible business outcomes.” Additional speakers at the event included: Mohamed Kande, PwC Prasad Satyavolu, Accenture Garvan Doyle, Anthropic Dr. Merry Frayne, Boston Dynamics Ranjit Bawa, Deloitte Darryl Willis, Microsoft Stephanie Woerner, MIT CISR Dr. Sabine Erlinghagen, Siemens Grid Software For more information about Industrial X Unleashed, visit www.industrialX.ai.

Industrial AI leaders unite to transform Energy, Utilities, and Infrastructure with integrated AI solutions for grid planning, asset management, and field service optimization Industrial X Unleashed, New York, NY, November 13, 2025 – Today at Industrial X Unleashed, IFS, the leading provider of Industrial AI software, announced a strategic partnership with Siemens to deliver integrated, AI-driven solutions that will revolutionize how energy, utilities, and infrastructure operators plan, manage, and service critical grid assets. The collaboration unites Siemens’ world-class domain expertise in grid planning, electrification, and smart infrastructure with IFS’s market-leading capabilities in enterprise asset management, field service management, and AI-powered scheduling optimization. Together, the companies are addressing the most pressing challenges facing critical infrastructure operators: aging assets, supply chain disruption, labor shortages, and the urgent imperative to accelerate the energy transition through digital transformation and autonomous grid operations. The IFS and Siemens partnership delivers a unified solution that bridges the critical gap between engineering and financial planning, operational technology and information technology, and strategic asset decisions and real-time field execution. IFS is partner in the Siemens Xcelerator marketplace. By integrating IFS’s AI-powered enterprise asset management, field service, and asset investment planning capabilities with Siemens’ Gridscale X solutions, utilities and energy operators gain unprecedented operational intelligence across their entire infrastructure. The result: A pathway toward autonomous, self-optimizing grid operations that address today’s most critical infrastructure challenge. As utilities rapidly integrate distributed energy resources like solar and wind at scale, these inverter-based resources are transforming grid dynamics – creating both unprecedented opportunity and complexity. The combined solution enables utilities to manage this transition effectively, improving uptime, reducing costs, and driving measurable sustainability outcomes while maintaining the grid reliability and resilience that society depends on. This cloud-ready, modular approach enables digital transformation without disruptive rip-and-replace projects, delivering industry-specific solutions purpose-built for utilities, energy infrastructure, manufacturing, and critical facilities. Block Quote Block Quote Block Quote For more information about Industrial X Unleashed, visit www.industrialX.ai.

Industrial X Unleashed, New York, NY, November 13, 2025 – IFS, the leading provider of Industrial AI software, and Boston Dynamics, the global leader in mobile robotics, today announced a ground-breaking collaboration to revolutionize how asset-intensive organizations manage and optimize their field operations. Uniting Boston Dynamics’ autonomous inspection robots with the power of IFS.ai creates a fully agentic AI system that seamlessly connects sensing, predictive decision-making and action in the field. With labor and skills shortages impacting industrial customers, leading to service gaps and prolonged outages, there exists an urgent need for technology that can supplement field workers. IFS and Boston Dynamics revealed the joint solution for the first time at Industrial X Unleashed in New York, November 13. The two companies showcased a powerful combination of physical AI and agentic AI that creates an end-to-end autonomous system to connect robots and enterprise data in high potential applications. Boston Dynamics’ Spot robots inspect industrial assets and sites, capturing critical operational data in real-time. Spot uses thermal cameras to detect overheating, can listen to air or gas leaks, read analog gauges for pressure and flow, check indicator lights, identify hazards like spills, or detect voltage anomalies. This information feeds directly into IFS.ai where agentic AI analyzes the data, makes intelligent decisions, and triggers appropriate actions – creating a seamless loop from sensing to execution. The collaboration uniquely focuses on serving industries where field operations are critical, including manufacturing, energy, utilities, mining, and other asset-intensive sectors.  With field workers comprising part of the 70% of the world’s workforce that do not work behind a desk, IFS and Boston Dynamics are unlocking value in areas that have remained underserved by generic AI applications. Together, IFS and Boston Dynamics are targeting measurable improvements across three critical operational metrics: Safety: Autonomous inspections reduce human exposure to hazardous environments while increasing inspection frequency and thoroughness Efficiency: Intelligent automation enables faster decision-making and response times, optimizing resource allocation Uptime: Predictive insights and automated actions help prevent failures before they occur, maximizing asset availability Block Quote Block Quote

Physical World Strategic collaboration integrates humanoid robotics with IFS.ai to deliver measurable automation outcomes across manufacturing, field service, and asset management Industrial X Unleashed, New York, NY — November 13, 2025 — IFS, the leading provider of Industrial AI software, today announced at Industrial X Unleashed a strategic partnership with 1X Technologies (1X), to jointly industrialize humanoid robotics for asset-intensive industries. The collaboration will combine 1X’s humanoid robots with IFS.ai to develop and deploy production-ready robotics solutions alongside select customers across manufacturing, utilities, aviation and other industrial settings. The partnership creates a unified digital-physical operational environment where intelligent robots work directly within enterprise business processes. By integrating humanoids with IFS.ai, IFS and 1X will deliver solutions that close the loop from physical execution to business intelligence, enabling real-time orchestration of robotic operations and seamless data flow between physical work and enterprise systems. IFS and 1X will work with select customers to industrialize and validate humanoid robotics solutions across high-impact use cases: manufacturing and smart factory automation, IoT-enabled robotics feeding real-time operational data into IFS.ai, field service automation combining robotic hardware with intelligent maintenance orchestration, and vertical-specific applications for warehousing, aviation MRO to utility maintenance. This collaborative approach with pioneering customers will ensure solutions are production-ready and deliver measurable operational outcomes. “This partnership represents an exciting opportunity to bring together the physical and digital AI worlds,” said Christian Pedersen, Chief Product Officer at IFS. “By integrating 1X’s advanced robotics with IFS.ai, we’re creating solutions where intelligent machines and intelligent systems work in harmony. This isn’t about adding robotics as a feature, it’s about embedding intelligence in context, delivering real value to customers operating in asset-intensive environments. We’re focused on making a meaningful difference for businesses that manufacture, service, and maintain critical assets.” “This collaboration creates a seamless connection between physical execution and intelligent business processes,” said Jorge Milburn, EVP Sales & Operations at 1X Technologies. “By integrating our humanoids with IFS.ai, we’re building solutions where robots don’t just operate in isolation, they understand operational context, adapt to changing conditions, and deliver data that drives better decisions across the enterprise.” The Future Industrial Workforce: Humans, Digital Workers, and Robots The partnership represents a critical step in IFS’s vision of workforce multiplication in industrial operations. Industrial sectors face massive labor shortages: 1 million open jobs in the U.S. alone, half in manufacturing, while re-industrialization and energy demand accelerate. Where operations today rely on 300 human workers barely covering demand, the future holds 3,000+ total workers: human experts elevated to orchestration and judgment calls, digital workers (AI agents) running diagnostics and workflows 24/7, and robotic workers inspecting assets and handling hazardous work in challenging environments. For the first time in industrial history, output is no longer limited by how many humans organizations can hire. IFS orchestrates all three as one integrated system, the only platform designed to schedule, manage, govern, and optimize human, digital, and robotic workers together. The 1X partnership extends this capability into the physical world, enabling robotic workers to be deployed and managed within the same enterprise platform that runs operations. The partnership builds on IFS’s Industrial AI strategy, including the Nexus Black innovation accelerator and recent acquisitions of TheLoops and 7Bridges, which have positioned IFS to deliver agentic AI capabilities across customer operations. With advanced robotics integration, IFS continues to build the platform for the complete future of industrial work. The integrated solutions will be showcased to IFS customers globally, with commercial availability planned for 2026. About 1X Technologies 1X is a leading U.S.-based AI and robotics company, developing NEO–the humanoid robot. 1X’s mission is to create an abundant future through safe, intelligent humanoids. The humanoid platform from 1X has been designed to operate amongst humans. From homes to manufacturing floors. 1X provides an artificial labor solution to enhance human potential.

New breed of IFS Nexus Black Industrial AI solutions, powered by Claude, helps frontline workers keep factory lines moving, restore power 40% faster after disasters, and maintain critical infrastructure assets Industrial X Unleashed, New York, NY, November 13, 2025 – Today at IFS Industrial X Unleashed, IFS Nexus Black and Anthropic announced a partnership to accelerate and scale the impact of AI in the world’s most critical industries. IFS is launching Resolve as the first of many new IFS solutions that puts industry-specific AI directly into the hands of frontline workers to transform work and rapidly deliver value. The partnership combines the deep industry expertise and AI talent of IFS Nexus Black, part of IFS – the global Industrial AI leader that’s spent decades alongside customers in the hangars, factories and plants that keep the world turning – with Anthropic’s world-leading AI capabilities and commitment to building safe, reliable AI. “Partnering with Anthropic is about more than just their best-in-class AI models, it is also their commitment to responsible, safe AI – that’s non-negotiable when serving industries where, some days, life is on the line”, said Kriti Sharma, CEO at IFS Nexus Black. “These hardcore industries are where the real AI revolution is happening. It’s not the AI of tabloid headlines. It’s the lifeline for the workers that keep the lights on, the cupboards stocked, and the world turning.” Introducing Resolve: Transforming how critical industries operate with AI Resolve’s capabilities reflect the stark realities facing technicians and field workers across aerospace & defense, construction & engineering, manufacturing, energy, utilities & natural resources and telecoms. Leveraging Claude, Resolve enables customers to: Predict and prevent faults faster by interpreting multi-modal data such as video, audio, temperature & pressure, and complex schematics. Connect the right technician to the right part, in the right place with optimized scheduling. Prevent future faults, reduce paperwork and collect valuable data with voice recognition and automatic transcription. These industries are straining under the pressure of ageing infrastructure, lost expertise, and an increasingly unpredictable world that throws supply chains out of balance – all while facing a once in a generation increase in demands from re-industrialization and AI infrastructure build out.  They are underserved by generic and consumer-grade AI geared towards white collar workers and unsuited to asset and service-centric operations.  Scalable, high-impact AI solutions designed for industrial applications are urgently needed. “Anthropic combines frontier AI capabilities with the safety and reliability that industries require. IFS has unquestionable expertise in the complex realities of the industrial world – they have proven they can activate and apply AI in capital intensive and asset heavy environments. Together, we’re deploying AI where stakes are highest.” said Garvan Doyle, Applied AI Lead at Anthropic. Real impact: Transforming a Scottish distillery’s operations William Grant & Sons – the iconic distillers behind Grant’s whisky and Hendrick’s gin – is using Resolve to cut downtime and overhaul operations. Before, fragmented data meant that 38% of repairs carried out by engineers were emergency, not proactive – leading to costly downtime. Now, Resolve reads complex plant schematics, plugs into existing sensors to predict failure before it happens, and diagnoses faults based on what engineers actually need. Technicians use Resolve to diagnose faults based on the sound of a rattling pipe, video showing how a part’s moving strangely, or fluctuations in pressure. The distillery has slashed downtime and boosted output. The team estimates these changes will save £8.4 million annually at the site, once business-as-usual operations are established. “IFS Nexus Black understood our industry – they weren’t trying to apply something generic”, said Badri Narasimhan, Chief Technology & Business Growth Officer for William Grant & Sons. “It’s been innovation that’s practical, fast, and actually connected to results, not theory.” Transforming disaster response Beyond the factory floor, IFS Nexus Black solutions with Anthropic are solving crucial problems in disaster response – critical as weather related losses now equal 36% of US GDP. Last year, 27 weather disasters with billion-dollar losses hit the US, up from 14 in 2019. Technicians are at the heart of relief efforts for severe storms, wildfires and floods. In the chaos of a wildfire or severe storm, the field service worker is the quiet hero – driving in treacherous conditions and scaling transmission poles to get lights back on and hospitals back up and running. Now, planners back at headquarters can restore power faster: Predictive analytics assess which areas are likely to be hit and when. Technicians are directed to highest priority sites, and join the dots between adjacent power companies for mutual aid. On site, Resolve advises on the repair based on image or video capture, and automatically re-directs essential parts. The result is gas and utilities firms can now restore power after major events 40% faster than they could without a comparable tool – that translates to more communities protected, and schools and hospitals back up and running faster. To learn more about IFS Nexus Black, visit: https://www.ifs.com/nexus-black  For more information about Industrial X Unleashed, visit www.industrialX.ai.

While your CFO reviews quarterly reports and your operations manager handles the day shift, a Material Replenisher digital worker can autonomously process 847 parts requests, cross-referencing supplier availability, and coordinating with maintenance schedules, all before your first coffee break. This isn’t science fiction. It’s agentic AI, and it will transform how industrial companies operate. ERP systems gave industrial companies the backbone of operational data. RPA automated simple tasks. Basic AI provided insights. But none could handle the dynamic complexity of real industrial operations until agentic digital workers arrived to orchestrate intelligent actions across all of them. For decades, industrial leaders have seen promising technologies advance step by step as they adapted to operational realities. Each wave of innovation worked brilliantly in controlled environments, then struggled with the messy, interconnected, constantly evolving nature of real industrial operations.  Today, digital workers – autonomous agents that think, learn, and act – represent something fundamentally different: the first technology that doesn’t just tolerate industrial complexity, it thrives on it. The convergence crisis defined This technology has arrived just in time. Industrial companies today face a unique operational reality where three immutable forces create complexity that traditional automation struggles to handle – but where agentic digital workers excel: Legacy systems that must coexist: Unlike tech startups that can architect greenfield solutions, industrial companies manage decades of accumulated systems – ERP platforms, SCADA networks, maintenance databases, supplier portals, and countless specialized applications that can’t simply be “ripped and replaced.” Digital workers navigate this complexity, orchestrating actions across multiple systems without requiring expensive integrations. Regulatory demands that require real-time adaptation: Environmental compliance, safety requirements, and quality standards don’t just change, they evolve constantly, often with minimal notice. A new EPA regulation, an updated ISO standard, or a customer specification change can ripple through operations in ways that rigid automation simply can’t handle. Digital workers adapt to these changes automatically, updating their decision-making processes and ensuring continuous compliance. Operational knowledge trapped in human experience: The most critical operational wisdom often exists nowhere in documentation. It lives in the judgment of experienced operators who know that “urgent” means something different in preventive maintenance versus emergency repairs. Digital workers capture and codify this institutional knowledge, learning from human experts and preserving their decision-making patterns even after retirement. The evolution to digital workers – intelligence that orchestrates Understanding where we are requires appreciating how we got here. Each technology wave solved real problems. These now highlight what agentic digital workers deliver: The ERP Era brought unprecedented structure to industrial operations. For the first time, companies had integrated views of inventory, production, financials, and supply chains. ERP systems became the backbone of modern industrial operations, creating the data foundation that digital workers now transform into intelligent action. The Automation Era added point solutions for specific processes. RPA bots handled repetitive tasks, workflow systems managed approvals, and specialized software tackled niche operational challenges. These tools delivered clear ROI in controlled scenarios but often broke when business conditions changed, exactly where digital workers excel. The AI Era brought analytics and predictions to structured data. Machine learning models could forecast demand, predict equipment failures, and optimize production schedules, as long as they had clean, consistent data inputs and stable operating conditions. Digital workers go beyond prediction to autonomous action, handling messy real-world data and dynamic conditions. The Digital Worker Era represents something radically different. Rather than requiring industrial operations to conform to silo data, fixed rule-based process and people bridging the gaps, agentic digital workers bring all of this together. They give you the ability to now rethink a business process, understand the context, make decisions and coordinate. actions across complex environments. The agentic AI breakthrough – intelligence that orchestrates Consider how this plays out in practice: Your ERP maintains comprehensive inventory data. It knows exactly how many units are in each location, their costs, their suppliers, and their transaction history. This foundational data is incredibly valuable – and completely static. Now consider an agentic inventory replenishment scenario. In this case, an agentic digital worker adds intelligence to an inventory management foundation. This agent knows that 200 units are allocated to a delayed shipment, 100 are on quality hold pending inspection, and 50 are reserved for emergency maintenance scheduled next week. It understands that Supplier A ships faster, but Supplier B has better quality ratings for this particular component. It recognizes that the upcoming regulatory audit means quality documentation will be scrutinized more heavily. Acting on all this contextual intelligence, it automatically adjusts procurement recommendations and coordinates with planning systems – all while keeping your ERP updated with real-time status. This is the orchestration advantage: ERP provides the foundation; digital workers provide the actionable intelligence. Where digital workers excel – the complexity sweet spot Traditional automation excels in stable, predictable environments. Agentic digital workers thrive exactly where traditional automation struggles in the dynamic, interconnected scenarios that define real industrial operations. When supplier communications get complex – a supplier emails that they’re shipping a substitute part number due to raw material shortages. Traditional systems would flag this as an exception requiring human intervention. But an agentic digital worker specializing in supplier order management cross-references the substitute part against engineering specifications, checks quality certifications, validates regulatory compliance, updates production schedules if needed, and communicates status to relevant stakeholders – all while maintaining audit trails in the ERP system.  When customer orders require real-time orchestration – a major customer submits a rush order modification while their original order is already in production. A digital worker focused on customer order management immediately assesses production impact, checks raw material availability across multiple locations, calculates delivery feasibility, identifies potential conflicts with other orders, and coordinates with production planning to find the optimal solution – then presents clear options to decision-makers with all the contextual information they need. When asset performance demands contextual intelligence – equipment sensors indicate declining performance, but is it normal wear, environmental factors, or impending failure? In an asset intelligence scenario, the digital worker correlates sensor data with maintenance history, operating conditions, similar equipment performance patterns, and maintenance staff availability to recommend optimal intervention timing – preventing both unnecessary downtime and catastrophic failures. The convergence solution – making complexity competitive The convergence crisis has been building for decades, but agentic AI represents the first technology powerful enough to turn crisis into competitive advantage. Here’s how digital workers address each convergence force: Legacy integration that actually works – rather than requiring expensive system replacements, digital workers orchestrate intelligent actions across existing infrastructure. They speak the language of your ERP, your maintenance systems, your supplier portals, and your production planning tools, creating seamless workflows without massive integration projects. Regulatory adaptation as core capability – digital workers don’t just execute compliance procedures, they adapt to regulatory changes. When new requirements emerge, they automatically adjust decision criteria, update documentation processes, and ensure audit readiness without requiring extensive reconfiguration. Knowledge capture that scales – digital workers learn from human experts while they’re still available, capturing not just what decisions were made, but the contextual reasoning behind them. This institutional knowledge becomes part of the system’s intelligence, available to train new employees and guide future decisions. Looking forward – the intelligence layer advantage The industrial convergence crisis isn’t going away, it’s accelerating. Regulatory requirements continue expanding, operational complexity keeps increasing, and the knowledge gap widens as experienced workers retire. Companies need more than great data; they need intelligent systems that can act on that data with human-level contextual understanding. ERP systems gave us the operational foundation. Agentic digital workers give us the intelligence layer that transforms that foundation into competitive advantage. The question facing industrial leaders isn’t whether their operations are too complex for automation, it’s whether they’re ready to deploy automation that thrives on complexity. The companies that answer “yes” first will define the competitive landscape for the next decade. Discover how robotic process automation compares to digital workers and what this means for operational efficiency.