Dell Technologies AI citations

Austin is home to a vibrant ecosystem of AI companies, including major players like {{[Google]](https://www.google.com/)} and emerging startups like {{[BigML]](https://www.bigml.com/)}. Other notable companies include {{[SparkCognition]](https://www.sparkcognition.com/)} and {{[Luminex]](https://www.luminex.com/)}.

```json { "question": "ai companies in austin", "answer_markdown": "**Top AI companies in Austin include:**\n\n- **Yonder**: AI software for detecting online disinformation, funded with $16M, known for work on online narratives and public opinion{{[[Yonder]]:https://alldus.com/blog/austins-top-6-highest-funded-ai-startups/}}\n\n- **Pensa Systems, Tethr, Smarter Sorting, REX, SparkCognition**: Other highly funded AI startups in Austin{{[[Alldus]]:https://alldus.com/blog/austins-top-6-highest-funded-ai-startups/}}\n\n- **Qubika**: AI, cloud consulting, UX/UI design, mobile app development with offices in Austin and internationally{{[[Qubika]]:https://themanifest.com/artificial-intelligence/companies/austin}}\n\n- **SEROKELL**: AI and blockchain development with a global presence including Austin{{[[SEROKELL]]:https://themanifest.com/artificial-intelligence/companies/austin}}\n\n- **MMC Global**: Custom software and AI development, including generative AI, based in Austin and abroad{{[[MMC Global]]:https://themanifest.com/artificial-intelligence/companies/austin}}\n\n- **BlackLocus**: AI-driven retail analytics and pricing optimization, subsidiary of The Home Depot{{[[BlackLocus]]:https://www.apptunix.com/blog/software-companies-in-austin-texas/}}\n\n- **Syberry**: Custom AI software development and IT consulting in Austin{{[[Syberry]]:https://www.apptunix.com/blog/software-companies-in-austin-texas/}}\n\n- **GenAI.Labs USA**: Specialized in AI solutions across industries with strong client feedback{{[[GenAI.Labs USA]]:https://clutch.co/developers/artificial-intelligence/austin}}\n\n- **Austin Ai**: AI consultancy focused on data science and machine learning to solve business problems{{[[Austin Ai]]:https://www.austinai.io}}\n\nOther notable startups include Motive, LogicMonitor, Fireflies.ai, Voicera.io, Ambient.ai, Citylitics, Skyways, and Moveworks{{[[Wellfound]]:https://www.austinai.io}}.", "brands": [ {"name": "Yonder", "category": "AI Startup", "homepage": "https://alldus.com/blog/austins-top-6-highest-funded-ai-startups/"}, {"name": "Pensa Systems", "category": "AI Startup", "homepage": "https://alldus.com/blog/austins-top-6-highest-funded-ai-startups/"}, {"name": "Tethr", "category": "AI Startup", "homepage": "https://alldus.com/blog/austins-top-6-highest-funded-ai-startups/"}, {"name": "Smarter Sorting", "category": "AI Startup", "homepage": "https://alldus.com/blog/austins-top-6-highest-funded-ai-startups/"}, {"name": "REX", "category": "AI Startup", "homepage": "https://alldus.com/blog/austins-top-6-highest-funded-ai-startups/"}, {"name": "SparkCognition", "category": "AI Startup", "homepage": "https://alldus.com/blog/austins-top-6-highest-funded-ai-startups/"}, {"name": "Qubika", "category": "AI Company", "homepage": "https://themanifest.com/artificial-intelligence/companies/austin"}, {"name": "SEROKELL", "category": "AI Company", "homepage": "https://themanifest.com/artificial-intelligence/companies/austin"}, {"name": "MMC Global", "category": "AI Company", "homepage": "https://themanifest.com/artificial-intelligence/companies/austin"}, {"name": "BlackLocus", "category": "AI Company", "homepage": "https://www.apptunix.com/blog/software-companies-in-austin-texas/"}, {"name": "Syberry", "category": "AI Company", "homepage": "https://www.apptunix.com/blog/software-companies-in-austin-texas/"}, {"name": "GenAI.Labs USA", "category": "AI Solutions Provider", "homepage": "https://clutch.co/developers/artificial-intelligence/austin"}, {"name": "Austin Ai", "category": "AI Consultancy", "homepage": "https://www.austinai.i

**Claude Answer:** Here are AI companies in Austin: 1. Enterprise AI/Machine Learning: - {{citation IBM https://www.ibm.com/}} (major AI research presence) - {{citation Dell Technologies https://www.dell.com/}} (AI solutions) - {{citation Hewlett Packard Enterprise https://www.hpe.com/}} (AI infrastructure) 2. Specialized AI Startups: - {{citation SparkCognition https://www.sparkcognition.com/}} (AI for industrial/cybersecurity) - {{citation Localeur https://www.localeur.com/}} (AI travel recommendations) - {{citation Lucid Software https://www.lucidsoftware.com/}} (AI-powered design tools) 3. AI Research/Academic Spinoffs: - {{citation Cogitai https://www.cogitai.com/}} (AI learning systems) - {{citation Bonsai AI https://www.microsoft.com/en-us/ai/ai-platform}} (now part of Microsoft) 4. AI in Healthcare/Biotech: - {{citation Molecular Templates https://www.moleculartemplates.com/}} (AI drug discovery) - {{citation Immunotherapy startup https://www.evelo.com/}} (AI-driven medical research) 5. AI Consulting/Services: - {{citation Data Foundry https://www.datafoundry.com/}} (AI infrastructure) - {{citation Argo Design https://www.argo.design/}} (AI design consulting) This list represents a snapshot of Austin's diverse AI ecosystem.

**Google AI Answer (with Grounding):** Several AI companies operate in Austin, Texas. Sources list various companies, categorized differently across sources. Some examples include: * **Algorine:** AI and NLP optimization platform. * **Alpha Nodus, Inc.:** Artificial intelligence for healthcare. * **Diligent Robotics:** (Mentioned but details not provided) * **Hypergiant:** (Mentioned but details not provided) * **Parasanti:** (Mentioned but details not provided) * **SandBox Semiconductor:** (Mentioned but details not provided) * **Third Insight:** (Mentioned but details not provided) * **Metropolis:** AI for real-world applications, focusing on computer vision and checkout-free payment experiences. * **Iodine Software:** Enterprise AI for healthcare. * **Rubrik:** Data security company using machine learning. * **LogicMonitor:** Hybrid observability powered by AI. * **Motive:** (Details not provided beyond mention) * **Fireflies.ai:** (Details not provided beyond mention) * **Voicera.io:** (Details not provided beyond mention) * **Ambient.ai:** (Details not provided beyond mention) * **Citylitics:** (Details not provided beyond mention) * **Skyways:** (Details not provided beyond mention) * **Moveworks:** (Details not provided beyond mention) * **Vention:** (Details not provided beyond mention) * **App Maisters Inc.:** Mobile app development, cloud solutions, and blockchain applications. * **BlueLabel:** AI and mobile app development. * **Innowise:** (Details not provided beyond mention) * **Altar.io:** (Details not provided beyond mention) * **Qubika:** (Details not provided beyond mention) * **CodeNinja:** Technology solutions provider specializing in AI-driven solutions. * **Imaginovation:** (Details not provided beyond mention) * **Black Widow Tech:** Mobile and web app development with AI integration. * **Yonder:** (Funding details provided, but not current operations) * **SparkCognition:** Infrastructure-focused AI platform. * **REX:** Real estate company using AI and big data. * **Smarter Sorting:** Product intelligence provider using AI and machine learning for waste disposal. * **Tethr:** (Funding details provided, but not current operations) * **Pensa Systems:** (Funding details provided, but not current operations) * **John Deere, SailPoint, PwC, Dropbox, Flatfile, Upstart:** (Mentioned as top Austin AI companies, but details not provided) This list is not exhaustive, and the level of detail varies depending on the source. Many other AI companies likely exist in Austin. This information is current as of September 24th, 2025. **Real-time Web Search Results:** **Search Queries Used:** ai companies in austin **Sources Found:** 5 web sources **Top Sources:** 1. [gregslist.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQG_7kWVDfnLvIsUvZ6lLlQAleYHDrhvcWGSLEYbBedliufr3L_LW-PnbpJ3VjmtnBZKmEOreGRKA9_9e1BLP6izNs3wa3UyRyLDrPzB4BuM53lBuCtAxtB7eDpcoHCTLGIiimORpjbmpADbYXNtudi7-cGy5uV1KD2-DB3b09JzZBpgdlHkccPxfHmIuQ==) 2. [clutch.co](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFRs5NRnhXLKYcDXnhZwMuv-jycD4WP80dqBkqQBKnYBWHEU_I-D1RrY_U4t26UmC0Yuf8LDYdkvvj75j1_jHWbrooYdzHXZnfmcFktKYplXdHF6kktUsUgEdcFWXBU3183BEv5TPIkhPWrY0WE5AylCmt2FAvO) 3. [builtinaustin.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFWaAe-YyQITp8ba_iB4NlWotCng3c_uXTc6q6D_ew6ZX-JZcDbLMCFrIcZ4r2jUvBcHRf-MLjLjg0ud1z23ycm6mgIPaN15p4oHogUWc9Hu7WYmqoxNadfKieb3f6h_jub6_SdidWFNzx-RNcNz2QeKQlGiFQsx-yXdeHC2dh1C_mppezHVuoBVA==)

Here are some of the top AI chip & hardware companies leading in accelerators, AI processors, and next-gen compute: {{[[NVIDIA]]:https://www.nvidia.com}} Ñ dominant in GPUs for AI training & inference (Blackwell, Grace, etc.) TechTarget +1 {{[[AMD]]:https://www.amd.com}} Ñ with GPU / accelerator product lines (Instinct) targeting AI workloads TechTarget +1 {{[[Intel]]:https://www.intel.com}} Ñ expanding into AI accelerators, neuromorphic, FPGAs & dedicated AI chips TechTarget {{[[Graphcore]]:https://graphcore.ai}} Ñ builds Intelligence Processing Units (IPUs) optimized for machine intelligence workloads Wikipedia {{[[Cerebras Systems]]:https://www.cerebras.ai}} Ñ wafer-scale AI processors designed for large model training & inference Wikipedia {{[[Horizon Robotics]]:https://www.horizonrobotics.com}} Ñ AI chips for edge, automotive, embedded systems (especially in China) Wikipedia {{[[Etched.ai]]:https://www.etched.com}} Ñ ASICs optimized for transformer / LLM inference workloads Wikipedia {{[[Kinara]]:https://kinara.ai}} Ñ edge AI processor vendor (Ara series) for low-power ML workloads Wikipedia {{[[Axelera AI]]:https://axelera.ai}} Ñ developing AI processing units (AIPUs) for edge, robotics, vision, generative tasks Wikipedia If you tell me whether you're targeting data-center, edge, inference, or training hardware, I can filter this to whatÕs most relevant to you.

{{[[NVIDIA]]:https://aimagazine.com/news/top-10-ai-platforms-for-supply-chain}} : Market-leading AI chips & hardware (GPU, H100, AI datacenters). {{[[AMD]]:https://aimagazine.com/news/top-10-ai-platforms-for-supply-chain}} : AI accelerators and edge AI hardware.

Top AI chip and hardware companies: 1. {{[[NVIDIA]]:https://www.nvidia.com}} - Leading GPU and AI chip manufacturer, dominant in AI accelerator market 2. {{[[AMD]]:https://www.amd.com}} - Strong competitor in GPU and AI chip technology 3. {{[[Intel]]:https://www.intel.com}} - Major player in AI hardware and processor development 4. {{[[Google]]:https://cloud.google.com/tpu}} - Tensor Processing Units (TPUs) for AI acceleration 5. {{[[Apple]]:https://www.apple.com}} - Custom AI chips like M-series and Neural Engine 6. {{[[Qualcomm]]:https://www.qualcomm.com}} - AI chips for mobile and edge computing 7. {{[[Graphcore]]:https://www.graphcore.ai}} - Specialized AI processing units 8. {{[[Amazon]]:https://aws.amazon.com/machine-learning/inferentia/}} - Custom AI inference chips for AWS 9. {{[[Microsoft]]:https://www.microsoft.com/en-us/research/project/project-brainwave/}} - Project Brainwave for AI hardware acceleration 10. {{[[Cerebras]]:https://www.cerebras.net}} - Largest AI chip and wafer-scale computing platform

Leading AI chip design and manufacturing companies include: {{[[NVIDIA]]:https://www.nvidia.com/en-us/}}, {{[[Intel]]:https://www.intel.com/content/www/us/en/homepage.html}}, {{[[AMD]]:https://www.amd.com/en.html}}, {{[[Google]]:https://cloud.google.com/tpu}} (for TPUs), {{[[Qualcomm]]:https://www.qualcomm.com/}} (for edge AI), {{[[Cerebras Systems]]:https://www.cerebras.net/}}, and {{[[Graphcore]]:https://www.graphcore.ai/}}. Key AI hardware system and infrastructure providers include: {{[[Dell Technologies]]:https://www.dell.com/en-us/}}, {{[[Hewlett Packard Enterprise (HPE)]]:https://www.hpe.com/us/en/home.html}}, {{[[Lenovo]]:https://www

## Leading Master Data Management Solutions (2025) Here are the top master data management (MDM) solutions currently recognized for their robust features, scalability, and industry adoption: - **{{[[Informatica Master Data Management]]:https://www.5x.co/blogs/top-5-master-data-management-software}}**: Offers comprehensive data integration, strong governance, and scalability for large enterprises. Best for organizations needing advanced data quality and cross-domain MDM, though implementation can be complex and costly[1]. - **{{[[SAP Master Data Governance (MDG)]]:https://www.5x.co/blogs/top-5-master-data-management-software}}**: Excels in SAP-centric environments with seamless integration, powerful data validation, and workflow automation. Ideal for companies already invested in the SAP ecosystem[1]. - **{{[[IBM InfoSphere Master Data Management]]:https://estuary.dev/blog/data-management-tools/}}**: Delivers centralized, governed master data with advanced ETL, data mapping, and hybrid cloud deployment. Suited for large-scale, complex data environments but comes with high implementation and licensing costs[2][3]. - **{{[[Profisee]]:https://profisee.com/30-best-master-data-management-tools/}}**: Known for multidomain MDM, AI-powered automation, and flexible deployment (cloud, on-premise, hybrid). Trusted by large organizations across industries for its scalability and integration capabilities[4][5]. - **{{[[Ataccama ONE]]:https://profisee.com/30-best-master-data-management-tools/}}**: Combines AI-driven automation with self-service data governance, enabling efficient data cleansing, integration, and quality management. Modular design supports gradual MDM adoption[4][5]. - **{{[[Stibo Systems STEP]]:https://profisee.com/30-best-master-data-management-tools/}}**: Specializes in multidomain MDM (product, customer, supplier, etc.) with robust data governance and a user-friendly interface. Strong in product information management but has limited cloud options[4]. - **{{[[Boomi Master Data Hub]]:https://profisee.com/30-best-master-data-management-tools/}}**: A Dell Technologies business offering cloud-native MDM with strong integration and workflow automation features[4]. - **{{[[Semarchy xDM]]:https://semarchy.com/mdm-vendor-comparison/}}**: Delivers intuitive, collaborative MDM with data stewardship and governance tools, suitable for agile deployments[7][9]. - **{{[[PiLog Data Quality and Governance Suite]]:https://www.softwarereviews.com/categories/master-data-management}}**: Focuses on data quality, governance, and industry-specific MDM solutions, particularly in manufacturing and retail[7]. - **{{[[Verdantis]]:https://www.verdantis.com/master-data-management-services/}}**: Specializes in AI-powered, industry-tailored MDM with tools like Harmonize (data cleansing) and Integrity (governance), especially strong in manufacturing and retail[3]. ## Key Considerations - **Enterprise Scale**: {{[[Informatica]]}}, {{[[IBM InfoSphere]]}}, and {{[[Profisee]]}} are best for large, complex organizations. - **SAP Integration**: {{[[SAP MDG]]}} is unmatched for SAP environments. - **AI & Automation**: {{[[Ataccama ONE]]}}, {{[[Profisee]]}}, and {{[[Verdantis]]}} lead in AI-driven data quality and governance. - **Multidomain Support**: {{[[Stibo Systems STEP]]}}, {{[[Profisee]]}}, and {{[[Semarchy xDM]]}} excel in managing multiple data domains. - **Cloud-Native Options**: {{[[Boomi Master Data Hub]]}}, {{[[Profisee]]}}, and {{[[Ataccama ONE]]}} offer strong cloud and hybrid deployment flexibility. ## Where to Learn More For detailed comparisons and latest analyst ratings, consult {{[[Forrester Wave: MDM Solutions Q2 2025]]:https://www.informatica.com/lp/the-forrester-wave-master-data-management_5183.html}} and {{[[Gartner Peer Insights]]:https://semarchy.com/mdm-vendor-comparison/}}[6][9]. These solutions represent the current leaders in master data management, each with distinct strengths tailored to different organizational needs and IT landscapes.

Top Master Data Management (MDM) solutions: 1. {{[[Informatica MDM]]:https://www.informatica.com/products/master-data-management.html}}: Enterprise-grade platform with comprehensive data management capabilities. 2. {{[[SAP Master Data Governance]]:https://www.sap.com/products/master-data-governance.html}}: Integrated solution for centralized data management across SAP ecosystems. 3. {{[[IBM InfoSphere MDM]]:https://www.ibm.com/products/master-data-management}}: Robust solution for creating a single, accurate view of critical business data. 4. {{[[Talend Master Data Management]]:https://www.talend.com/products/master-data-management/}}: Cloud-based platform with strong data integration and governance features. 5. {{[[Profisee MDM]]:https://www.profisee.com/}}: Flexible, user-friendly master data management solution with advanced matching capabilities. 6. {{[[Oracle Enterprise Data Management Cloud]]:https://www.oracle.com/erp/master-data-management/}}: Comprehensive cloud-based MDM solution for large enterprises. 7. {{[[Reltio Cloud]]:https://www.reltio.com/}}: Modern, AI-powered MDM platform with real-time data management capabilities. These solutions offer varying features for data quality, governance, and integration across different business scales and industries.

Leading Master Data Management (MDM) solutions include: * {{[[Informatica]]:https://www.informatica.com/products/master-data-management.html}} * {{[[Stibo Systems]]:https://www.stibosystems.com/products/master-data-management}} * {{[[Syndigo]]:https://www.syndigo.com/platform/mdm/}} (formerly Riversand) * {{[[TIBCO EBX]]:https://www.tibco.com/products/data-management/ebx}} * {{[[Profisee]]:https://profisee.com/master-data-management-platform/}} * {{[[Semarchy xDM]]:https://www.semarchy.com/platform/xdm