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Business Wire
5 days ago
- Automotive
- Business Wire
Netradyne Driver•i Named 'AI Safety Solution of the Year' in 2025 AI Breakthrough Awards Program
SAN DIEGO--(BUSINESS WIRE)-- Netradyne, a leading AI and edge computing SaaS provider, announced that its Driver•i platform has won 'AI Safety Solution of the Year' at the 8th annual AI Breakthrough Awards, which honor top innovations in the global AI market. Netradyne leverages breakthrough AI to create safer roads and more efficient fleets. The Driver•i platform delivers automation and data analysis while also focusing on positive reinforcement to empower drivers, enhance performance, and cut operational costs. Netradyne analyzes 100% of driving time rather than relying on selective event-based data. This always-on AI approach ensures that fleet managers and drivers receive real-time, actionable insights, enabling immediate coaching and intervention. AI-powered video telematics also provide fleets with a holistic view of driver behavior, identifying both risks and positive actions. Backed by over 23.1 billion miles of analyzed driving data, Netradyne's AI has been trained on an extensive range of driving conditions, road signs, and driver behaviors. This allows Netradyne to deliver up to 99% accuracy in detecting critical driving events, such as distracted driving, stop sign violations, and unsafe following distances. The 'Recommended Coaching' feature further personalizes driver training, tailoring insights to individual needs. 'It's a pleasure to accept this award from AI Breakthrough on behalf of the entire Netradyne team. We're harnessing advanced AI in our Driver•i system to save lives, streamline fleet operations, and encourage drivers to make the right choices behind the wheel,' said Adam Kahn, President of Netradyne. 'Some customers are seeing an 81% reduction in claims costs, as well as a 67% decrease in distracted driving. We'll continue to enhance our approach to offer an unmatched level of visibility into driver awareness.' The AI Breakthrough Awards shine a spotlight on the boldest innovators and most impactful technologies leading the charge in AI across a comprehensive set of categories, including Generative AI, Computer Vision, AIOps, Agentic AI, Robotics, Natural Language Processing, industry-specific AI applications and many more. This year's program attracted more than 5,000 nominations from over 20 different countries throughout the world, underscoring the explosive growth and global importance of AI as a defining technology of the 21st century. 'Netradyne's patented AI and edge computing technology delivers faster ROI, fewer accidents, and safer roads for everyone,' said Steve Johansson, managing director, AI Breakthrough. 'By pioneering driver-centric AI solutions, Netradyne is redefining fleet safety standards worldwide, setting new standards for commercial vehicle safety by improving driver behavior, enhancing fleet performance, and increasing operational transparency. That makes Netradyne Driver•i our 'AI Safety Solution of the Year'!' About Netradyne Founded in 2015 by Avneesh Agrawal (CEO) and David Julian (CTO), Netradyne is a global leader in AI-powered fleet safety and video telematics solutions and is headquartered in San Diego, CA, with offices in San Francisco and Bangalore, India. Thousands of commercial fleet customers across the United States, Canada, Mexico, Germany, the U.K., Australia, New Zealand, and India trust Netradyne's over 850 employees worldwide. Netradyne's flagship product, Driver•i, delivers cutting-edge HD video safety and management technology powered by advanced AI that analyzes every minute of drive time with up to 99% accuracy, recognizing risky and safe driving behaviors. With over 20 billion vision-analyzed driving miles, Netradyne sets the industry standard for fleet safety, empowering commercial fleets of all sizes to enhance driver performance, reduce risk, and optimize operations. Netradyne is committed to advancing road safety and efficiency through innovative technology, transforming the transportation industry. Stay updated with Netradyne on LinkedIn, and our blog. Part of Tech Breakthrough, a leading market intelligence and recognition platform for global technology innovation and leadership, the AI Breakthrough Awards program is devoted to honoring excellence in Artificial Intelligence technologies, services, companies and products. The AI Breakthrough Awards provide public recognition for the achievements of AI companies and products in categories including Generative AI, Machine Learning, AI Platforms, Robotics, Business Intelligence, AI Hardware, Computer Vision and more. For more information visit Tech Breakthrough LLC does not endorse any vendor, product or service depicted in our recognition programs, and does not advise technology users to select only those vendors with award designations. Tech Breakthrough LLC recognition consists of the opinions of the Tech Breakthrough LLC organization and should not be construed as statements of fact. Tech Breakthrough LLC disclaims all warranties, expressed or implied, with respect to this recognition program, including any warranties of merchantability or fitness for a particular purpose.
Business Wire
6 days ago
- Business
- Business Wire
Superblocks Named 'Overall Agentic AI Solution of the Year' in 2025 Artificial Intelligence Breakthrough Awards Program
NEW YORK--(BUSINESS WIRE)-- Superblocks, the leader in secure enterprise app development, today announced that Superblocks' Clark AI agent has been selected as the winner of 'Overall Agentic AI Solution of the Year' award in the 8 th annual AI Breakthrough Awards program conducted by AI Breakthrough. AI Breakthrough is a leading market intelligence organization that recognizes the top companies, technologies and products in the global Artificial Intelligence (AI) market today. Fellow winners include brands like NVIDIA, Writer, Glean, Asana, Meta, Qualcomm, Microsoft, Databricks, and Honeywell. Clark is the first AI platform that lets anyone build secure, production-grade internal apps in minutes. Through a simple prompt, Clark handles everything from design to deployment, integrating with enterprise data, enforcing permissions, and generating clean React code under the hood. Built on a Mixture of Agents architecture, it mimics a full internal tools team across design, engineering, IT, security, and QA. Apps can be generated with AI, edited visually in the built-in Visual Editor, or extended in code, providing developers, business teams, and IT with a shared platform for secure collaboration. 'The market is flooded with AI coding assistants aimed at speeding up developers. These are great, but the real disruption will come from rethinking who can now build software in the first place,' said Brad Menezes, Co-founder and CEO of Superblocks. 'Clark is enabling a new class of builders at work, from business users to department heads, and leading the way for secure, enterprise-grade vibe coding.' The AI Breakthrough Awards shine a spotlight on the boldest innovators and most impactful technologies leading the charge in AI across a comprehensive set of categories, including Generative AI, Computer Vision, AIOps, Agentic AI, Robotics, Natural Language Processing, industry-specific AI applications and many more. This year's program attracted more than 5,000 nominations from over 20 different countries throughout the world, underscoring the explosive growth and global importance of AI as a defining technology of the 21st century. 'With Clark, teams can move from idea to functional application in minutes without waiting on engineering cycles or compromising on quality. A long-standing inefficiency in enterprise software is how much time is spent on internal tools that customers never use. Though they're essential for powering workflows and operations, they consume expensive engineering bandwidth,' said Steve Johansson, managing director, AI Breakthrough. 'Clark changes the equation, allowing anyone, regardless of their technical skillset, to build custom applications themselves, freeing engineers to focus on strategic, customer-facing work that helps the business stand out. We're thrilled to award Superblocks with 'Overall Agentic AI Solution of the Year' for Clark!' Superblocks is already being used by forward-thinking teams at enterprise companies like Instacart, Carrier, and Cvent to streamline operations, accelerate development, and reduce engineering bottlenecks. Clark is currently in early access as Superblocks ramps up capacity. To start using Clark, join the waitlist or get in touch at clark-access@ Part of Tech Breakthroug h, a leading market intelligence and recognition platform for global technology innovation and leadership, the AI Breakthrough Awards program is devoted to honoring excellence in Artificial Intelligence technologies, services, companies and products. The AI Breakthrough Awards provide public recognition for the achievements of AI companies and products in categories including Generative AI, Machine Learning, AI Platforms, Robotics, Business Intelligence, AI Hardware, Computer Vision and more. For more information visit About Superblocks Superblocks is an AI platform that reimagines how internal software is built across the enterprise. Its AI agent, Clark, allows businesses to build production-grade internal apps and automations using natural language. Every app connects directly to company systems, data, and design standards, while generating clean, traceable React code under the hood. With full visibility and control for engineering and IT, Superblocks enables faster execution, fewer bottlenecks, and a new model for building internal software at scale. Superblocks has raised $60M in funding and is backed by Spark Capital, Kleiner Perkins, Greenoaks, and Meritech Capital, as well as leading tech executives including the founders of Workday, Box, and Okta.
Finextra
21-05-2025
- Business
- Finextra
Operational Alpha: How Agentic AI Will Rewrite Securities Operations: By Vijay Mayadas
Since ChatGPT's 2022 debut, the financial services industry has keenly anticipated AI's transformative impact. That era of speculation is over; its practical application is here. Advanced Generative AI (GenAI) models, particularly when deployed through agentic workflows, are not just reshaping but fundamentally rewriting how broker-dealers, investment banks, asset managers, and custodians process and settle trades. By orchestrating complex decision-making and automating intricate tasks like dynamic inventory management through collaborative AI agents, these GenAI-powered operations solutions will actively reduce risk, slash costs, and propel markets towards a real-time future. The impact will be so profound and arrive so swiftly that early adopters of these next-gen platforms can forge a significant competitive advantage - "operational alpha." This GenAI-driven evolution couldn't be timelier. Soaring trading volumes strain legacy infrastructure, escalating operational risks. The shift to accelerated settlement and 24x7 trading compels market participants to accelerate post-trade processes, pushing towards an eventual necessity for real-time capabilities across all firms. Simultaneously, widespread capital market electronification squeezes margins. The pressure is undeniable: institutions need a next-generation operations model capable of this speed and scale, while minimizing costs and risks. Agentic AI offers a compelling answer. From Language Models to Autonomous Agent Orchestration The evolution from powerful language models to sophisticated reasoning engines (like OpenAI's o1, for instance) has paved the way for AI agents – specialized, autonomous entities designed for specific operational tasks. These agents can interpret vast, often unstructured datasets, and make context-aware decisions, often without human intervention. This leap enables AI not merely to support human operators, but to autonomously orchestrate entire operational sequences through coordinated agent activity. Think of it as a digital "special ops team'. These capabilities are fueled by rapid AI advancements and the critical creation of large, standardized datasets. Even the most sophisticated AI agents are only as effective as the data they access. Over the past decade, financial services firms and technology providers have strived to dismantle data silos, aggregating information into unified governance frameworks. At Broadridge, for instance, we've invested significantly in BRx, a global, multi-asset harmonized data ontology. This structured data becomes the bedrock upon which our OpsGPT™ platform deploys AI agents to execute complex tasks with precision. Agentic Workflows in Action: The Digital Workforce Today's GenAI platforms, architected around agentic principles, are a leap beyond previous AI tools. Instead of merely flagging issues for human intervention, the platforms will deploy teams of AI agents that act autonomously and collaboratively. Imagine a digital workforce: An Intake Agent reads and interprets an inbound email query regarding a settlement discrepancy. reads and interprets an inbound email query regarding a settlement discrepancy. A Data Retrieval Agent is dispatched to query multiple internal (and potentially external) operational systems for all relevant trade details, positions, and counterparty information. is dispatched to query multiple internal (and potentially external) operational systems for all relevant trade details, positions, and counterparty information. An Analytical Agent processes this data, identifies the root cause of the discrepancy, and determines the optimal resolution path. processes this data, identifies the root cause of the discrepancy, and determines the optimal resolution path. A Communication Agent drafts an explanatory email or SWIFT message, or even initiates a corrective transaction, based on pre-defined rules and confidence scores. drafts an explanatory email or SWIFT message, or even initiates a corrective transaction, based on pre-defined rules and confidence scores. An Orchestrator Agent oversees this entire process, ensuring tasks are routed correctly and completed efficiently, escalating to human experts only for true exceptions. This is agentic AI. In the critical area of trade fails, for example, specialized AI agents can now autonomously analyze root causes, classify fail types with high precision, and even initiate resolution protocols—often involving direct, automated communication with other internal systems or even counterparty agents. This cuts resolution cycles from days to mere minutes, paving the way to eventually both predict and prevent settlement failures proactively. Beyond Fails: Systemic Operational Alpha The applications of agentic workflows extend further, driving systemic improvements: Capital Efficiency: AI agents can proactively manage global securities inventory, almost like a digital treasurer, by identifying mismatches, recommending optimal asset transfers, and executing rebalancing actions to enhance capital utilization and reduce funding costs. AI agents can proactively manage global securities inventory, almost like a digital treasurer, by identifying mismatches, recommending optimal asset transfers, and executing rebalancing actions to enhance capital utilization and reduce funding costs. Holistic Risk & Transparency: Agentic systems can integrate and mine data from siloed platforms, presenting a unified, real-time view of operational risk and performance across the entire firm. This firm-wide transparency enhances decision-making speed and strategic execution. Agentic systems can integrate and mine data from siloed platforms, presenting a unified, real-time view of operational risk and performance across the entire firm. This firm-wide transparency enhances decision-making speed and strategic execution. Elevated Client Experience: Client interactions are upgraded through AI agents powering intuitive chat interfaces or managing automated, yet contextually relevant and personalized, email communications for inquiries and updates. Crucially, these agentic systems incorporate self-learning feedback loops. Each successfully (or unsuccessfully) executed workflow refines the agents' adaptive logic and improves the underlying models, making them progressively smarter. This means firms achieve operational alpha not by scaling headcount, but by cultivating increasingly intelligent digital workers. Firms can scale operational intelligence, not just operational capacity. The First-Mover Imperative While GenAI operations platforms with sophisticated agentic capabilities are relatively new, their power to transform securities operations is undeniable and imminent. According to Broadridge's 2025 Digital Transformation & Next-Gen Technology Study, 72% of firms are making moderate to large GenAI investments this year, a significant jump from 40% in 2024. The urgency is clear: over a third expect ROI within six months of deployment. What does this ROI look like? By embedding real-time intelligence via agentic AI directly into post-trade processes and integrating these digital workers into daily operations, firms gain a measurable edge. They'll see rapid reductions in operational complexity, manual workloads, settlement penalties, and capital costs, alongside a corresponding surge in risk management prowess and efficiency. This isn't just theoretical; this is operational alpha in action, offering a critical, tangible advantage to early adopters ready to embrace the agentic AI revolution in securities operations.
Associated Press
08-05-2025
- Business
- Associated Press
$47.3 Bn Generative AI in DevOps Market Analysis and Strategies to 2034: Asia Pacific and Middle East Drive Expansion with Remarkable Growth, Opportunities Abound in Cloud-Based Deployments
DUBLIN--(BUSINESS WIRE)--May 8, 2025-- The 'Generative AI in DevOps Market Opportunities and Strategies to 2034" has been added to offering. This report describes and explains the Generative AI in DevOps market and covers 2019-2024, termed the historic period, and 2024-2029, 2034F termed the forecast period. The global Generative AI in DevOps market reached a value of nearly $1.87 billion in 2024, having grown at a compound annual growth rate (CAGR) of 38.80% since 2019. The market is expected to grow from $1.87 billion in 2024 to $9.58 billion in 2029 at a rate of 38.53%. The market is then expected to grow at a CAGR of 37.63% from 2029 and reach $47.3 billion in 2034. Growth in the historic period resulted from the increasing internet penetration, rapid growth of the Large Language Model (LLM), increasing demand for personalized AI solutions, increasing digital transformation across industries, and rising adoption of cloud computing. Factors that negatively affected growth in the historic period were limited availability of skilled personnel and technical expertise. Going forward, the growing adoption of automation, rising investment in AI startups, increasing usage of artificial intelligence, favorable government initiatives, and expansion of the Information Communication Technology industry will drive growth. A factor that could hinder the growth of the Generative Artificial Intelligence in Development and Operations (DevOps) market in the future includes concerns regarding job displacement. The global Generative AI in DevOps market is fairly fragmented, with a large number of small players operating in the market. The top ten competitors in the market made up to 15.8% of the total market in 2023. Microsoft Corporation was the largest competitor with a 2.52% share of the market, followed by Alphabet Inc. (Google LLC) with 2.20%, Amazon Web Services Inc. with 1.81%, International Business Machines Corporation with 1.79%, Oracle Corporation with 1.78%, NVIDIA Corporation with 1.58%, Cisco Systems Inc. with 1.43%, Capgemini SE with 0.98%, OpenAI with 0.91%, and NetApp Inc. with 0.81%. The Generative AI in DevOps market is segmented by component into solutions and services. The solutions market was the largest segment of the Generative AI in DevOps market segmented by component, accounting for 61.64% or $1.15 billion of the total in 2024. Going forward, the services segment is expected to be the fastest growing segment in the Generative AI in DevOps market segmented by component, at a CAGR of 40.28% during 2024-2029. The Generative AI in DevOps market is segmented by deployment mode into cloud-based and on-premise. The cloud-based market was the largest segment of the Generative AI in DevOps market segmented by deployment mode, accounting for 62.38% or $1.17 billion of the total in 2024. Going forward, the cloud-based segment is expected to be the fastest growing segment in the Generative AI in DevOps market segmented by deployment mode, at a CAGR of 40.20% during 2024-2029. The Generative Artificial Intelligence in Development and Operations (DevOps) market is segmented by application into testing, monitoring, deployment, maintenance, and other applications. The testing market was the largest segment of the Generative Artificial Intelligence in Development and Operations (DevOps) market segmented by application, accounting for 36.62% or $687.76 million of the total in 2024. Going forward, the deployment segment is expected to be the fastest growing segment in the Generative Artificial Intelligence in Development and Operations (DevOps) market segmented by application, at a CAGR of 42.68% during 2024-2029. North America was the largest region in the Generative Artificial Intelligence in Development and Operations (DevOps) market, accounting for 33.66% or $632.17 million of the total in 2024. It was followed by Asia Pacific, Western Europe, and then the other regions. Going forward, the fastest-growing regions in the Generative AI in DevOps market will be Asia Pacific and the Middle East. The top opportunities in the Generative AI in DevOps markets segmented by component will arise in the solutions segment, which will gain $4.51 billion of global annual sales by 2029. The top opportunities in the Generative AI in DevOps market segmented by deployment mode will arise in the cloud-based segment, which will gain $5.17 billion of global annual sales by 2029. The top opportunities in the Generative AI in DevOps markets segmented by application will arise in the testing segment, which will gain $2.84 billion of global annual sales by 2029. The Generative AI in DevOps market size will gain the most in the USA at $1.8 billion. Market-trend-based strategies for the Generative Artificial Intelligence in Development and Operations (DevOps) market include a focus on developing innovative solutions to enhance AI model training and deployment efficiency, concentrating on creating innovative solutions, like the Generative AI production stack and focusing on developing innovative products like AI-powered DevSecOps (Development, Security, and Operations) platforms. Player-adopted strategies in the Generative AI in DevOps market include focusing on expanding operational capabilities through new product launches and focusing on strengthening business capabilities through strategic partnerships. Key Attributes: Key Topics Covered: Major Market Trends Global Generative AI in DevOps Market Segmentation Company Profiles Other Major and Innovative Companies Key Mergers and Acquisitions Companies Featured For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. View source version on CONTACT: Laura Wood, Senior Press Manager [email protected] For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900 KEYWORD: INDUSTRY KEYWORD: TECHNOLOGY ARTIFICIAL INTELLIGENCE SOURCE: Research and Markets Copyright Business Wire 2025. PUB: 05/08/2025 10:02 AM/DISC: 05/08/2025 10:01 AM
