WAYR TODAY

Category: AI

  • OpenAI Shifts Branding Strategy for Upcoming AI Hardware

    This article was generated by AI and cites original sources.

    OpenAI has decided to abandon the ‘io’ branding for its upcoming line of AI hardware devices, as revealed in a recent court filing amidst a trademark lawsuit, according to a WIRED report. The decision follows a legal dispute with audio device startup iyO over the name, which OpenAI had acquired from famed Apple designer Jony Ive’s startup io. Peter Welinder, OpenAI’s vice president and general manager, stated in the filing that the company will not use ‘io’ or variations in connection with their AI hardware products’ naming, marketing, or sales. The first hardware device from OpenAI is now expected to reach customers no earlier than February 2027, a delay from the previously anticipated 2026 launch. This development underscores the strategic importance of brand identity in the competitive AI hardware market.

    Amidst rumors about OpenAI’s hardware endeavors, including a debunked Super Bowl ad speculation, the company clarified that it had no association with the viral ad featuring actor Alexander Skarsgård. OpenAI’s acquisition of Jony Ive’s consumer hardware subsidiary in 2025 for $6.5 billion marked a significant expansion into the hardware domain, highlighting the organization’s commitment to advancing AI technologies.

    Source: WIRED

  • Nvidia’s DreamDojo: Teaching Robots from Human Videos

    This article was generated by AI and cites original sources.

    Nvidia has unveiled DreamDojo, an AI system designed to instruct robots on interacting with the physical world by analyzing over 44,000 hours of human video footage. This approach could revolutionize the training process for humanoid robots, potentially reducing time and costs significantly.

    The research, conducted by Nvidia in collaboration with UC Berkeley, Stanford, and the University of Texas at Austin, introduces a ‘robot world model’ that showcases remarkable adaptability to various objects and environments after training.

    At the core of DreamDojo is a massive video dataset named DreamDojo-HV, comprising 44,000 hours of diverse human-centric videos, setting a new standard for world model pretraining.

    The system’s training process involves two key phases: initial pre-training on physical knowledge from human datasets, followed by fine-tuning for specific robot hardware through post-training with continuous robot actions.

    DreamDojo enables robots to learn from observation rather than direct physical interaction, streamlining the learning process and eliminating the need for extensive robot-specific demonstration data.

    One of the notable features of DreamDojo is its real-time interaction capability at 10 frames per second for over a minute, opening the door for practical applications such as live teleoperation and dynamic planning.

    Source: VentureBeat

  • OpenAI Introduces Ads in ChatGPT Subscription Tiers

    This article was generated by AI and cites original sources.

    OpenAI, the company behind innovative AI technologies, has announced plans to test advertisements for users on its Free and Go subscription tiers in the U.S. The new Go plan, priced at $8 per month, aims to diversify revenue streams for the company and ensure a sustainable business model.

    While OpenAI’s paid plans like Plus, Pro, Business, Enterprise, and Education tiers will remain ad-free, the introduction of ads has sparked debates about user experience and data privacy. To address these concerns, OpenAI has assured users that ads will not influence ChatGPT responses and that their interactions with the chatbot will remain confidential.

    Despite OpenAI’s intentions to enhance ChatGPT’s functionalities through ad revenue, the move has been met with skepticism. Rival company Anthropic has aired Super Bowl ads mocking the integration of ads into AI interactions, depicting the potential disruptions caused by poorly targeted ads in AI conversations. This has prompted a defensive response from OpenAI CEO Sam Altman.

    Source: TechCrunch

  • Anthropic Software Faces Trademark Dispute with Indian Firm Over Name

    This article was generated by AI and cites original sources.

    Anthropic Software, a prominent U.S. AI company, is embroiled in a legal conflict with a local Indian software firm over the use of the name ‘Anthropic.’ The dispute highlights the challenges that arise as AI companies expand globally and encounter local incumbents with existing claims to names or trademarks.

    The Indian company, Anthropic Software, claims it has been using the name since 2017 and asserts that the entry of the U.S.-based Anthropic into the Indian market has caused confusion among customers. Seeking recognition of its prior use and damages amounting to ₹10 million, the Indian firm filed a complaint in a Karnataka commercial court in January.

    Founder and director of Anthropic Software, Mohammad Ayyaz Mulla, expressed the company’s stance, emphasizing the need for clarity and acknowledgment of its established presence in India. Litigation, he mentioned, was a last resort if an amicable resolution could not be reached.

    With the rapid growth of AI companies like Anthropic in India, the dispute underscores the competitive landscape in one of the world’s largest and fastest-growing internet markets. As India becomes a strategic hub for global AI players, legal conflicts over branding and market presence are likely to increase.

    Source: TechCrunch

  • OpenAI’s Codex App Surpasses 1 Million Downloads in a Week: Implications for the AI Coding Landscape

    This article was generated by AI and cites original sources.

    OpenAI’s Codex application, powered by the advanced GPT-5.3-Codex model, has achieved a significant milestone by surpassing 1 million downloads in its debut week. This surge in adoption signals a growing demand for autonomous agentic systems in enterprise settings, indicating a shift towards AI as an ‘operator’ rather than a ‘copilot’.

    The Codex app is positioned as a ‘command center’ for agentic coding, allowing users to orchestrate multiple AI agents concurrently, enabling parallel worktrees, delegation of tasks, and seamless supervision of teams. While OpenAI celebrates this rapid adoption, the company is hinting at impending limits on free and low-cost users, aligning with their strategy to manage the costs of high-capability models and applications.

    Competitors like Anthropic and Kilo CLI are also making strides in the AI coding landscape. Anthropic’s Claude Code has achieved $1 billion in annualized revenue within six months of launch, while Kilo CLI’s ‘Agentic Anywhere’ approach, supporting over 500 models, presents a contrasting model-agnostic alternative to OpenAI’s ecosystem-locked Codex app.

    Decision-makers are advised to focus on integrating agentic workflows into governance frameworks, adopting platform-agnostic strategies, and ensuring rigorous human-in-the-loop oversight for self-improving AI cycles.

    Source: VentureBeat

  • OpenAI Introduces Ads in ChatGPT: What Users Need to Know

    This article was generated by AI and cites original sources.

    OpenAI has announced plans to test ads in ChatGPT, its AI platform, with sponsored links appearing at the bottom of answers. The company assures users that the ads will not impact the responses provided by ChatGPT.

    The ad feature will be visible to users on the free version or the $8 per month Go plan. Users on higher-tier plans like Plus, Pro, Business, Enterprise, and Education will not encounter ads, requiring a minimum of $20 per month for the Plus subscription to avoid them. However, users on the Free tier can opt out of ads in exchange for reduced daily free messages.

    Users have some control over the ads they see, with options to dismiss ads, provide feedback, disable ad personalization, prevent ads based on past chats, and delete ad data. OpenAI emphasizes that advertisers will only receive aggregated data on ad views and clicks, not personalized information or chat content.

    Certain users and topics are excluded from ad eligibility, such as individuals under 18 and conversations involving sensitive subjects like health, mental health, or politics. Even adult users on the Free and Go plans may not immediately experience ads as the feature is still in the testing phase.

    Source: The Verge

  • New York Firms Tight-Lipped on AI-Driven Job Cuts: Uncovering the Tech Impact

    This article was generated by AI and cites original sources.

    New York state’s initiative to uncover the impact of AI on job losses has revealed intriguing insights into how companies are handling automation. According to a recent report by WIRED, despite over 160 companies filing notices of mass layoffs, none have attributed their reductions to ‘technological innovation or automation’ within the state.

    The introduction of a specific question regarding tech-related job losses in the required filings for companies with 50 or more employees has shed light on the reluctance of businesses to admit to replacing workers with AI. This move, implemented 11 months ago, aimed to increase transparency around the reasons for significant job cuts.

    While the adoption of AI tools by major employers like Amazon and Goldman Sachs is on the rise, the lack of acknowledgment regarding AI-driven layoffs raises questions about the true extent of technological displacement in the workforce. Despite the growing trend of offloading repetitive tasks to AI systems, companies seem hesitant to openly attribute job losses to automation, possibly due to concerns about reputational damage.

    New York Governor Kathy Hochul’s directive to include AI as a specific reason for layoffs marks a significant step towards understanding the role of technology in workforce restructuring. The state’s innovative approach inquiring about AI’s involvement in job losses sets a precedent for other regions to follow suit.

    As the debate on AI’s impact on employment continues, the silence from New York companies regarding AI-driven layoffs underscores the complexity of tracking technological advancements’ influence on workforce dynamics. The data so far suggests a reluctance to acknowledge the true extent of AI’s role in reshaping the labor market.

    Source: WIRED

  • The Alleged OpenAI Super Bowl Ad Hoax: Unraveling the Tech Industry’s False Alarm

    This article was generated by AI and cites original sources.

    The tech community was recently abuzz with reports of a supposed ‘leaked’ Super Bowl ad from OpenAI, featuring earbuds and a mysterious shiny orb. However, the excitement quickly turned to skepticism as the incident was revealed to be a well-crafted hoax.

    Initial reports surfaced about a Reddit thread that allegedly leaked the ad, showcasing actor Alexander Skarsgård alongside what was believed to be OpenAI’s inaugural hardware device. OpenAI’s President, Greg Brockman, dismissed these claims as ‘fake news,’ and spokesperson Lindsay McCallum Rémy confirmed the inauthenticity of the situation.

    Further investigation uncovered the suspicious nature of the ‘discovery.’ The Reddit account responsible for the initial post, under the handle ‘wineheda,’ was swiftly deleted, raising doubts about its credibility. Subsequent inquiries revealed a questionable past of the account holder, casting doubt on their sudden involvement with OpenAI and high-profile figures like Jony Ive.

    The elaborate nature of the hoax extended beyond Reddit, with attempts to validate the false narrative through various mediums. From proposed promotional emails to misleading social media posts, the fabricated story sought to create a buzz around OpenAI and its fictitious Super Bowl ad.

    This incident serves as a cautionary tale within the tech industry, highlighting the susceptibility to misinformation and the importance of verifying sources in the digital age.

    Source: The Verge

  • AI Shakes Up Super Bowl Advertising with Innovative Commercials

    This article was generated by AI and cites original sources.

    The 2026 Super Bowl advertisements marked a significant shift towards AI integration, with brands like Svedka leading the charge in AI-generated commercials. Svedka’s ‘Shake Your Bots Off’ ad, claimed to be the first ‘primarily’ AI-generated national Super Bowl spot, featured robotic characters dancing at a human party. The process involved training AI to mimic facial expressions and body movements, highlighting the growing role of technology in creative content creation.

    Partnering with AI company Silverside, Svedka’s parent company, Sazerac, embraced innovative approaches to advertising, following the trend set by recent AI-generated Coca-Cola commercials. This move towards AI-driven content creation during high-profile events like the Super Bowl raises questions about the future of creative jobs and the extent to which AI can redefine advertising practices.

    As technology takes center stage in the advertising industry, the Super Bowl LX ads demonstrate a shift towards AI-driven creativity and production processes, setting the stage for future innovations and challenges in the evolving landscape of marketing and brand promotion.

    Source: TechCrunch

  • Crypto.com Acquires AI.com Domain for Record $70M, Signaling Tech Industry’s AI Focus

    This article was generated by AI and cites original sources.

    Crypto.com founder Kris Marszalek has acquired the AI.com domain for a record-breaking $70 million, paid entirely in cryptocurrency. This move, as reported by the Financial Times, not only sets a new benchmark in domain transactions but also underscores the tech industry’s growing focus on AI technologies.

    Marszalek’s strategic purchase comes just ahead of the Super Bowl, where he plans to unveil the site featuring a personal AI agent for various functions like messaging, app usage, and stock trading. In an interview with the FT, Marszalek emphasized the long-term impact of AI, describing it as ‘one of the greatest technological waves of our lifetime’.

    While the crypto industry is known for high spending, this acquisition surpasses previous domain sale records, eclipsing past deals like CarInsurance.com ($49.7 million), VacationRentals.com ($35 million), and Voice.com ($30 million). Broker Larry Fischer highlighted the uniqueness of premium domains like AI.com, suggesting that such opportunities are rare and valuable.

    The question of whether these multi-million dollar domain investments yield substantial returns remains uncertain. However, for Marszalek, who already owns the valuable Crypto.com domain and has invested heavily in branding with a $700 million stadium naming deal, acquiring category-defining domains like AI.com appears to be a strategic move.

    Source: TechCrunch

  • WordPress Integrates with Anthropic’s Claude to Enhance Site Analytics

    This article was generated by AI and cites original sources.

    WordPress has unveiled a new feature that allows users to leverage the capabilities of Anthropic’s chatbot system, Claude, for in-depth site data analysis. This integration enables site owners to selectively share their back-end data with Claude, granting read-only access for insights without the ability to make changes to the content management system (CMS).

    With Claude connected, users can inquire about various metrics, ranging from summarizing monthly web traffic to identifying posts with low user engagement. Additionally, WordPress has curated a set of template prompts to streamline interactions, such as managing comments and plugins effectively.

    This innovative integration opens doors for site owners to gain valuable insights and optimize their data analysis processes. By tapping into Claude’s analytical capabilities, WordPress users can delve deeper into their site performance metrics and make informed decisions to enhance their online presence.

    Source: TechCrunch

  • AI Dominates Super Bowl Ads: From Svedka’s AI-Generated Spot to Anthropic’s AI Showdown

    This article was generated by AI and cites original sources.

    The 2026 Super Bowl advertisements marked a significant shift towards AI integration, with brands like Svedka and Anthropic making waves in the AI space. Svedka made headlines by showcasing what they claim to be the first primarily AI-generated national Super Bowl ad. Titled ‘Shake Your Bots Off,’ the ad featured the robot characters Fembot and Brobot dancing at a human party, created with the help of AI technology to mimic expressions and movements, as reported by The Wall Street Journal.

    Partnering with AI company Silverside, Svedka’s move to rely heavily on AI for content creation during the Super Bowl demonstrated the growing role of AI in marketing and advertising, challenging traditional human-centric approaches.

    Meanwhile, Anthropic’s ad showcased a different side of AI, sparking intrigue with its clash with OpenAI. Through these ads, the tech industry gained insights into the evolving landscape of AI integration in mainstream media, highlighting the increasing prominence of AI in shaping consumer experiences and brand narratives.

    Source: TechCrunch

  • OpenAI Unveils Frontier: A Centralized Platform for Enterprise AI Agents Amid Shift Towards Multi-Vendor Architectures

    This article was generated by AI and cites original sources.

    OpenAI has unveiled Frontier, a centralized platform designed for constructing and managing enterprise AI agents. As companies weigh the merits of single-vendor systems versus multi-vendor flexibility, Frontier emerges as a comprehensive solution offering integrated tools for agent execution, evaluation, and governance within a unified interface.

    Frontier’s release coincides with a broader industry trend towards multi-vendor architectures, prompting discussions on the advantages of OpenAI’s centralized approach versus enterprises’ desire for flexibility. Tatyana Mamut, CEO of Wayfound, highlighted the reluctance of enterprises to commit to a single vendor, emphasizing the continually evolving nature of AI strategies.

    While OpenAI’s Frontier competes with AWS’s Bedrock AgentCore, the latter boasts access to multiple Large Language Models (LLMs) for agent construction, granting enterprises the flexibility to select the most suitable LLM for each task. In contrast, OpenAI’s stance on incorporating models and tools from other vendors remains unclear.

    Frontier functions as a unified platform providing access to diverse enterprise-grade tools from OpenAI, streamlining agent development through shared context, onboarding processes, and evaluation mechanisms. Offering a semantic layer that connects to internal applications, Frontier ensures seamless information retrieval for agents built on the platform.

    Security and governance features are integral to Frontier, enabling organizations to monitor agent performance, success rates, accuracy, and latency. Noteworthy companies like HP, Intuit, Oracle, and Uber are among the initial customers leveraging Frontier’s capabilities.

    As concerns around security and governance persist, industry experts stress the importance of focusing on agent security and identity. Ellen Boehm from Keyfactor emphasizes the necessity of upholding security fundamentals, while Salesforce’s Madhav Thattai underscores the importance of ensuring agents deliver tangible business value.

    Source: VentureBeat

  • Waymo’s Innovative Simulation Technology: Pushing the Boundaries of Autonomous Vehicle Testing

    This article was generated by AI and cites original sources.

    Waymo, a leader in autonomous driving technology, has developed a cutting-edge simulation environment to enhance its vehicle testing capabilities. This innovative platform, known as Waymo’s World Model, leverages Google’s Genie 3 AI to generate highly realistic 3D spaces tailored for autonomous vehicle testing.

    Simulation plays a crucial role in the development of self-driving vehicles, allowing companies like Waymo to expose their technology to rare and extreme scenarios without physical risk. Through these simulations, Waymo can test its vehicles’ responses to diverse challenges, from encountering a tornado or navigating a snow-covered bridge to handling flooded streets or facing unexpected obstacles like a rogue elephant.

    By utilizing lidar sensors to create detailed 3D renderings of simulated environments, Waymo ensures that its autonomous vehicles can analyze and react to complex surroundings effectively. This advanced testing approach enables Waymo to accumulate vast amounts of virtual driving data, improving the readiness of its vehicles for real-world deployment.

    Source: The Verge

  • AI Revolutionizing Rare Disease Treatment Through Automation and Data-Driven Insights

    This article was generated by AI and cites original sources.

    AI-powered biotech startups are leveraging automation, data, and gene editing to address labor shortages in drug discovery and treatment of rare diseases. Despite advanced tools in biotech, numerous rare diseases remain untreated due to a lack of skilled personnel. At Web Summit Qatar, executives from Insilico Medicine and GenEditBio highlighted the potential of AI to tackle longstanding industry challenges.

    Insilico’s AI platform integrates biological, chemical, and clinical data to propose hypotheses on disease targets and candidate molecules. By automating tasks that previously demanded extensive human resources, the company aims to accelerate the identification of potential therapies and repurposing of existing drugs, significantly cutting costs and time.

    For instance, Insilico successfully repurposed existing drugs to potentially treat ALS, a rare neurological disorder, showcasing the versatility and impact of AI in addressing critical healthcare challenges.

    The integration of AI in drug discovery not only streamlines the identification of therapeutic candidates but also plays a pivotal role in addressing labor shortages and accelerating the development of treatments for neglected rare diseases.

    Source: TechCrunch

  • AI Coding Rivals Unveil Upgraded Models: OpenAI’s GPT-5.3-Codex Challenges Anthropic’s Claude Opus 4.6

    This article was generated by AI and cites original sources.

    OpenAI and Anthropic, two leading AI companies, have recently launched upgraded coding models, GPT-5.3-Codex and Claude Opus 4.6, respectively, in what industry observers are calling the latest chapter of the AI coding competition. These synchronized releases mark the beginning of a high-stakes race for dominance in the enterprise software development sector.

    The announcement of GPT-5.3-Codex is significant for AI development, as the model played a key role in building itself, a notable milestone for OpenAI. The model showcases enhanced efficiency, completing tasks with fewer tokens and faster inference times, outperforming Anthropic’s Claude on various benchmarks.

    Beyond coding, OpenAI positions GPT-5.3-Codex as a comprehensive tool for automating the entire software development lifecycle, with expanded capabilities including debugging, deploying, writing documents, and analyzing data. This move signals the company’s ambition to capture a broader market beyond just developer tools.

    The competition between OpenAI and Anthropic is intensifying, with both companies vying for a larger share of the enterprise AI market. OpenAI’s strategic move towards becoming a platform provider with the launch of Frontier and Codex desktop application reflects the evolving dynamics in the AI industry.

    With both companies facing significant financial pressures and massive valuations, the AI coding race has profound implications for the future of enterprise AI adoption and market dominance. The companies’ respective promises and visions underscore the fierce battle ahead.

    Source: VentureBeat

  • Reddit Bets on AI-Powered Search as a Key Business Opportunity

    This article was generated by AI and cites original sources.

    During Reddit’s recent fourth-quarter earnings call, the company highlighted its AI-powered search engine as a significant opportunity for growth. Reddit sees its AI search not only as a valuable product enhancement but also as a potential revenue driver. The company aims to merge traditional and AI search capabilities, emphasizing the vast market potential of AI-driven search, despite it not being monetized yet.

    Reddit CEO Steve Huffman stated that the platform’s AI search could excel in answering complex queries that require multiple perspectives. Huffman noted that while traditional search is more navigational, AI search, particularly generative AI, could outperform in finding the most relevant answers.

    Reddit disclosed a substantial increase in weekly active users for both traditional and AI-powered search features, indicating growing user engagement. The company is actively enhancing its AI answers interface to deliver more media-rich responses, with ongoing pilots to test these improvements.

    Looking ahead, Reddit plans to personalize the platform using AI and machine learning to cater to all users, regardless of their logged-in status. By blending social networking and informational search, Reddit aims to become a go-to destination for seeking answers.

    Source: TechCrunch

  • Fundamental’s NEXUS: Transforming Tabular Data Analysis with AI-Powered Insights

    This article was generated by AI and cites original sources.

    Fundamental, a San Francisco-based AI company, has emerged from stealth with a groundbreaking innovation in enterprise data analysis. The company’s flagship product, NEXUS, is a Large Tabular Model (LTM) designed to revolutionize how businesses interpret and utilize structured, relational data.

    Unlike traditional models that rely on manual feature engineering, NEXUS leverages a native foundation model to understand the complex web of non-linear relationships within tabular datasets. Trained on billions of real-world tabular datasets, this cutting-edge technology aims to transform the way organizations forecast business outcomes and make data-driven decisions.

    One of the key advantages of NEXUS is its ability to process numerical data in a way that traditional models struggle with. By ingesting raw tables directly and identifying latent patterns across columns and rows, NEXUS uncovers hidden insights that human analysts may overlook, enabling more accurate predictions and informed decision-making.

    Operating at the predictive layer, NEXUS is designed for split-second decision-making scenarios where human intervention is minimal. This advanced AI model has the potential to benefit industries such as finance, healthcare, and manufacturing by providing real-time insights and predictive capabilities.

    Moreover, Fundamental’s strategic partnership with Amazon Web Services (AWS) allows for seamless deployment of NEXUS within existing AWS infrastructure, addressing data privacy concerns and ensuring that sensitive information remains secure.

    Fundamental’s ambitious vision, backed by substantial funding, underscores the growing importance of tabular data analysis in the era of AI-driven decision-making.

    Source: VentureBeat

  • OpenAI Unveils GPT-5.3 Codex to Enhance Coding Capabilities

    This article was generated by AI and cites original sources.

    OpenAI, a prominent AI company, has unveiled GPT-5.3 Codex, a new model aimed at boosting the capabilities of its coding tool Codex. This launch comes shortly after a similar move by rival Anthropic, creating a stir in the tech community.

    Initially introducing Codex, a coding tool, earlier this week, OpenAI quickly followed up with the release of GPT-5.3 Codex. This new model expands Codex’s functionality from writing and reviewing code to performing a wide range of tasks typically handled by developers and professionals on computers. OpenAI claims that GPT-5.3 Codex can expedite the development process, enabling the creation of complex games and applications from scratch within days.

    Highlighting its efficiency, OpenAI states that GPT-5.3 Codex is 25% faster than its predecessor, GPT-5.2. Notably, this model stands out as the first one within the company that actively contributed to its own improvement. OpenAI’s staff utilized early versions of the program to debug and assess its performance, showcasing a unique evolution process.

    The competitive dynamics in the tech landscape were further accentuated when Anthropic unexpectedly released its agentic coding model, narrowly edging out OpenAI in the timing race. Despite this, both companies have now introduced innovative solutions that promise to revolutionize coding practices and redefine software development norms.

    Source: TechCrunch

  • OpenAI Unveils Frontier: A Platform for Enterprises to Manage AI Agents

    This article was generated by AI and cites original sources.

    OpenAI has unveiled Frontier, a platform designed to help enterprises construct and oversee AI agents, mirroring the management of human employees within organizations. This new offering aims to streamline agent management as a fundamental component of enterprise AI integration, signaling OpenAI’s commitment to advancing AI capabilities in corporate settings.

    Frontier provides a comprehensive solution for businesses to develop and monitor AI agents. Users can seamlessly program these agents to interact with external data sources and applications beyond the OpenAI ecosystem. Notably, users retain control over the access levels and functionalities granted to these AI agents, ensuring a secure and regulated operational environment.

    By aligning the onboarding process and performance evaluation mechanisms of AI agents with those of human employees, Frontier aims to enhance the learning and adaptability of these virtual entities over time. While OpenAI has already onboarded major enterprises such as HP, Oracle, State Farm, and Uber onto the Frontier platform, wider accessibility is planned in the near future following an initial limited release.

    The introduction of agent-management platforms like Frontier underscores the growing importance of efficient AI utilization in modern business landscapes. This move aligns with similar offerings in the market, such as Salesforce’s Agentforce, as well as the presence of other significant players like LangChain and CrewAI, reflecting the escalating demand for AI-centric solutions in enterprise environments.

    Source: TechCrunch