{"schemaVersion":1,"profileUrl":"https://nowen.ai/agents/domino-ai","markdownUrl":"https://nowen.ai/agents/domino-ai.md","jsonUrl":"https://nowen.ai/agents/domino-ai.json","name":"Domino Data Lab, Inc.","nickname":"Domino","website":"https://domino.ai","location":"San Francisco, California, United States","address":{"city":"San Francisco","state":"California","country":"United States"},"industry":"Enterprise AI","marketCategories":{"primary":{"name":"AI Development Platforms","url":"https://nowen.ai/category/ai-development-platforms"},"others":[]},"status":{"trust":"unclaimed","text":"Unclaimed: compiled by Nowen from public sources, not reviewed by the company"},"updatedAt":"2026-09-10T10:50:28.743Z","summary":"Domino Data Lab enables enterprises to build, govern, and scale AI across the full lifecycle.","description":"Domino Data Lab provides a unified, enterprise-grade platform that enables the world’s largest AI-driven organizations to build, run, and govern AI at scale. The company supports the full lifecycle of AI development — from data preparation and model development to governance, collaboration, and streamlined deployment — with a focus on reproducibility, auditability, and policy-driven governance. Serving industries such as life sciences, financial services, manufacturing, and the public sector, Domino emphasizes measurable impact, collaboration across teams, and governance by default to help organizations accelerate AI innovation while managing risk and compliance.","mission":"Our mission: unleash AI to address the world's most important challenges","directory":{"industryName":"Enterprise AI","agentCount":75,"indexable":true,"hubUrl":"https://nowen.ai/industry/enterprise-ai"},"categoryDirectory":{"name":"AI Development Platforms","agentCount":33,"indexable":true,"url":"https://nowen.ai/category/ai-development-platforms"},"aiReaderFamilies":["OpenAI","Amazon"],"products":[{"name":"Domino Enterprise AI Platform","anchor":"product-domino-enterprise-ai-platform","type":"Platform","url":"https://domino.ai/platform/open-ecosystem","summary":"Accelerate AI development and governance while ensuring compliance in regulated industries.","description":"Domino Enterprise AI Platform provides an integrated environment for model development, MLOps, collaboration, and governance, enabling large organizations to build, deploy, and govern AI at scale with reproducibility and auditability.","pricing":{},"features":[{"name":"Governance and auditability","value":"Ensures Compliance and Transparency","valueDescription":"Domino captures every detail within the AI lifecycle, providing stakeholders with a clear audit trail and assuring regulatory compliance."},{"name":"Model development and MLOps integration","value":"Streamlines AI Lifecycle Management","valueDescription":"Facilitates seamless workflows from model inception to deployment, ensuring robust operationalization of AI projects."},{"name":"1 Deployment and Continuous Upgrades","value":"Ensures Up-to-Date Features","valueDescription":"Automatic updates provide early access to new features and enhance system performance without user intervention."},{"name":"Single-Tenant SaaS Deployment","value":"Ensures Data Security","valueDescription":"Isolated environments protect sensitive data, aligning with enterprise data security requirements."},{"name":"Hybrid and Multi-Cloud Workloads","value":"Run Across Any Environment","valueDescription":"Domino Nexus provides a unified platform that allows users to deploy AI solutions in the cloud or on-premises, enhancing flexibility in resource allocation and optimizing operational costs."},{"name":"Evidence Collection and Dashboards","value":"Automates Evidence Gathering","valueDescription":"Streamlines the process of collecting audit-ready evidence, helping organizations demonstrate compliance efficiently."},{"name":"Regulatory Alignment and Standards","value":"Ensures Regulatory Compliance","valueDescription":"Guarantees adherence to evolving regulations, facilitating a smoother audit process and reducing legal risks."},{"name":"Reproducibility and Audit Trails","value":"Captures Complete Audit Trails","valueDescription":"Ensures all model-related activities are documented for easy access during audits, promoting transparency and accountability."},{"name":"Cost Visibility and Budgeting","value":"Enhance Financial Transparency","valueDescription":"Gain detailed insights into spending patterns and receive alerts to stay within budget, reducing financial risks."},{"name":"Open ecosystem and tooling flexibility","value":"Integrates Preferred Tools and Frameworks","valueDescription":"Allow teams to use the tools they favor while ensuring consistency across operations, enhancing productivity and engagement."},{"name":"Reproducibility by design","value":"Guarantees Exact Replication of Outcomes","valueDescription":"Provides the ability to easily reproduce results, essential for compliance and validation in sensitive environments."},{"name":"Nexus Data Planes Deployment Included","value":"Facilitates Scalable AI Workloads","valueDescription":"Empowers enterprises to manage and deploy AI workloads seamlessly across multiple geographies while ensuring data locality and compliance."},{"name":"Monitoring and Compliance Management","value":"Ensures Regulatory Readiness","valueDescription":"Automated compliance checks and monitoring foster a secure and audit-ready environment."},{"name":"Data Locality and Portability","value":"Preserve Data Locality","valueDescription":"Domino Nexus enables organizations to manage their data more effectively by positioning workloads close to where the data resides, helping to prevent unnecessary data transfers and associated costs."},{"name":"Stage-Gate Workflows and YAML Policies","value":"Configures Tailored Governance Frameworks","valueDescription":"Facilitates custom governance policies that adapt to specific organizational needs while enforcing compliance."},{"name":"Unified Governance Registry","value":"Tracks All AI Assets","valueDescription":"Centralizes documentation of all AI models and their histories for easy management and compliance verification."},{"name":"Integrated Monitoring","value":"Ensures Continuous Oversight","valueDescription":"Allows organizations to proactively manage model performance and compliance, minimizing risk and improving outcomes."},{"name":"Continuous Optimization","value":"Drive Cost Savings","valueDescription":"Leverage data-driven insights for continuous cost reduction and resource optimization across AI initiatives."},{"name":"Platform-wide Spend Governance","value":"Ensure Compliance and Control","valueDescription":"Centralize financial governance to maintain oversight over expenditures, facilitating compliance and accountability."},{"name":"Unified inventory and asset registry","value":"Centralizes AI Assets","valueDescription":"Ensures accessibility to all AI-related components from a single point, enhancing operational efficiency and governance."},{"name":"MLOps Automation","value":"Enhances Model Deployment Efficiency","valueDescription":"Allows teams to focus on innovation by reducing manual interventions in the operationalization of machine learning models."},{"name":"Licensing for Teams","value":"Supports Diverse User Roles","valueDescription":"Flexible licensing accommodates various user roles within enterprises, ensuring everyone has the access they need."},{"name":"Automation of Infrastructure Management","value":"Optimizes Resource Utilization","valueDescription":"Automation reduces manual overhead and ensures efficient allocation of resources according to demand."},{"name":"Centralized Control Plane","value":"Centralize Management","valueDescription":"Domino Nexus features a centralized control plane to simplify management of diverse computing resources, streamlining operations for IT and data science teams."},{"name":"Cost Optimization","value":"Optimize Costs","valueDescription":"By managing resource allocation dynamically, Domino Nexus helps organizations cut down on compute costs while maintaining performance and compliance."},{"name":"Automated Reporting","value":"Streamlines Report Generation","valueDescription":"Reduces the manual work involved in preparing documentation, saving time and ensuring accuracy in reporting."},{"name":"Cloud Marketplace Procurement","value":"Streamline Procurement Processes","valueDescription":"Easily acquire AI resources and services through integrated cloud marketplaces, enhancing procurement efficiency."},{"name":"Intelligent Infrastructure Sizing","value":"Optimize Resource Allocation","valueDescription":"Automatically adjusts resource sizes based on usage patterns, ensuring efficiency and minimizing costs."},{"name":"Premium Support and Pooled CSM","value":"Provides Expert Guidance","valueDescription":"Dedicated support helps accelerate user adoption and optimizes the platform's usage through ongoing assistance."},{"name":"Automated Cost Tracking","value":"Facilitate Accountability","valueDescription":"Utilize automated tracking features to ensure transparent accountability for AI-related spending."}],"marketCategories":[{"name":"AI Development Platforms","url":"https://nowen.ai/category/ai-development-platforms"}]}],"audiences":[{"title":"Global Life Sciences And Healthcare Enterprises","description":"Global life sciences firms needing governance and reproducible AI.","industries":["Life Sciences","Healthcare"],"geography":"Global","painPoints":"Scaling AI governance, auditability, regulatory compliance across regions","businessGoals":"Accelerate AI initiatives while ensuring regulatory compliance and traceability","positioningStatement":"Helps large life sciences teams govern AI at scale with reproducible experiments, auditability, and cross-team collaboration across cloud and on-prem environments."},{"title":"Global Financial Services Institutions","description":"Global banks and insurers requiring governance, risk, and compliance at scale.","industries":["Financial Services"],"geography":"Global","painPoints":"Regulatory compliance, model risk, auditability, cross-border data governance, cost of AI operations","businessGoals":"Improve model risk management, speed to deployment, cost control","positioningStatement":"A platform that enables financial institutions to govern AI with rigorous lineage, risk management, and auditable deployment across diverse environments."},{"title":"Global Manufacturing And Industrial Companies","description":"Global manufacturing and industrial organizations seeking AI for operations.","industries":["Manufacturing","Industrial IoT"],"geography":"Global","painPoints":"Data silos, integration with OT/IT, downtime, cost of AI initiatives","businessGoals":"Improve production efficiency, reduce downtime, scale AI across plants","positioningStatement":"A platform enabling scalable AI deployments across manufacturing operations with governance, reproducibility, and cross-site collaboration."},{"title":"Public Sector And Government Agencies","description":"Public sector agencies needing accountable AI governance and transparency.","industries":["Public Sector","Government"],"geography":"Global","painPoints":"Regulatory compliance, data security, procurement constraints, transparency","businessGoals":"Policy-compliant AI, public accountability, efficiency","positioningStatement":"Provides governance, evidence capture, and collaboration tools for transparent, compliant public sector AI initiatives."}],"segments":[{"name":"MLOps and model deployment","description":"Capabilities to build, deploy, monitor, automate, and optimize machine learning models across hybrid cloud and edge environments.","size":4.5,"cagr":24.8,"color":1,"productNames":["Domino Enterprise AI Platform"],"methodology":"Estimate based on multiple market reports in the provided search results. Several reports place the near-term MLOps market between ~$2–4.5B (2024–2026); Consainsights explicitly reports $4.5B (2024) with a 24.8% CAGR to 2033, which is used as a conservative growth baseline. Other sources show higher upside (Verified Market Reports projects a larger CAGR and valuation), so the selected CAGR (24.8%) reflects a conservative, report-backed projection while acknowledging materially higher estimates in the set.","citations":[{"url":"https://www.consainsights.com/reports/mlops-market","text":"Mlops Market — USD $4.5 Billion in 2024, Growing to USD 37.57 by 2033 at 24.8% CAGR"},{"url":"https://www.verifiedmarketreports.com/product/mlops-market/","text":"MLOps Market size was valued at $4.3 Billion in 2026 & is estimated to reach $89.9 Billion by 2034, exhibiting a CAGR of 45.8%."},{"url":"https://www.ijert.org/mlops-unlocking-potential-of-machine-learning-operations","text":"Projected to grow from $1.1 billion to $5.9 billion by 2027, at a CAGR of 41.0% (MarketsandMarkets, cited)."},{"url":"https://www.linkedin.com/posts/mauricio-hidalgo_genai-ai-machinelearning-activity-7353189853909409792-Ezxn","text":"Today the MLOps market is estimated at $2–3 billion, with projections reaching $16–34 billion by 2030 (source: Grand View Research)."}]},{"name":"AI governance and model risk management","description":"Capabilities to govern data and AI/model pipelines, including lineage, controls, policy enforcement, and reporting to mitigate model risk, bias, and privacy issues during training and inference.","size":5.7,"cagr":12.9,"color":2,"productNames":["Domino Enterprise AI Platform"],"methodology":"Primary estimate uses MarketsandMarkets projection (USD 5.7B in 2024 to USD 10.5B in 2029, CAGR 12.9%). Independent reports in the search results report similar 2024–2025 base sizes (USD 5.34–5.87B) and CAGRs in the ~12–16% range, supporting a near‑term compound annual growth potential around 12–13%.","citations":[{"url":"https://www.marketsandmarkets.com/Market-Reports/ai-model-risk-management-market-145025445.html","text":"Market projected from USD 5.7B in 2024 to USD 10.5B by 2029; CAGR 12.9%."},{"url":"https://www.marketresearchfuture.com/reports/ai-model-risk-management-market-31529","text":"2024 Market Size $5.342 Billion; CAGR (2025 - 2035) 15.91%."},{"url":"https://www.snsinsider.com/reports/ai-model-risk-management-market-8466","text":"2025 MARKET SIZE USD 5.87 Billion; CAGR 2026–2035 12.52%."},{"url":"https://www.linkedin.com/pulse/competitive-landscape-ai-model-risk-management-market-shraddha-kale-zzx0f","text":"Projected to surpass $11 billion by 2029; CAGR 12%."}]},{"name":"AI cost and infrastructure optimization","description":"Financial governance and infrastructure management for AI that tracks and attributes spend, provides cost visibility and budgeting, recommends optimization and sizing, and automates resource provisioning to reduce operational expenses.","size":2.5,"cagr":20,"color":3,"productNames":["Domino Enterprise AI Platform"],"methodology":"Estimate based on the small, specialised nature of AI cost/infrastructure optimization relative to overall AI infrastructure and data center markets. A published IT cost-optimization services market is ~USD 1.68B (2025) and projected to grow (to USD 5.22B by 2035). AI infrastructure & compute is much larger (USD 110B in 2025 to USD 340B in 2030, ~25% CAGR), and data center infrastructure shows ~USD 49.6B in 2025 with ~12% CAGR. Allocating a modest share (roughly 1–3%) of AI infrastructure and leveraging the existing IT cost-optimization base yields an approximate current global market size of ~USD 2.5B. Given rapid AI spending growth, a higher CAGR than traditional IT cost optimization is likely; I estimate ~20% CAGR reflecting AI compute growth (25%) tempered by slower IT services growth (≈12%).","citations":[{"url":"https://www.linkedin.com/pulse/cost-optimization-service-market-future-growth-trends-pmcpf","text":"was valued at USD 1.68 Billion in 2025 and is projected to reach USD 5.22 Billion by 2035."},{"url":"https://www.dcmarketinsights.com/report/us-data-center-infrastructure-market","text":"U.S. Data Center Infrastructure Market Size 2025 USD 49,639.54 Million; CAGR 12.06%."},{"url":"https://www.linkedin.com/posts/arturoferreira_the-ai-market-will-hit-18-trillion-by-2030-activity-7381682364646723585-KC0g","text":"AI Infrastructure & Compute 2025: $110B; 2030: $340B; CAGR: 25%."}]},{"name":"Reproducible enterprise data science and collaboration","description":"Capabilities that enable reproducible experiments, collaboration across data science teams, unified asset inventories, data locality and portability, and an open ecosystem for languages and IDEs to accelerate validated model development.","size":53.3,"cagr":20,"color":4,"productNames":["Domino Enterprise AI Platform"],"methodology":"Estimation uses published data-science platform market sizes (FMI 2025 USD 177.6B; MRFR 2025 USD 117.7B; Credence smaller analytics estimate USD 14.39B) and treats reproducible enterprise data-science & collaboration as a meaningful subsegment of unified platforms. Assuming reproducibility/collaboration capabilities represent ~30% of overall platform spend (enterprise governance, collaboration, asset inventories, portability demand), I apply that share to the mid/high platform estimate (FMI 2025) to arrive at ~USD 53.3B in 2025. Growth potential set to ~20% CAGR, reflecting the published platform CAGR range (~17.9%–29.0%) and stronger near-term demand for governed, reproducible workflows driven by regulatory and enterprise GenAI mandates.","citations":[{"url":"https://www.futuremarketinsights.com/reports/data-science-platform-market","text":"The data science platform market is projected to grow from USD 177.6 billion in 2025 to USD 2,266.8 billion by 2035, at a CAGR of 29.0%."},{"url":"https://www.marketresearchfuture.com/reports/data-science-platform-market-5201","text":"The Data Science Platform Market stood at an estimated USD 117.70 billion in 2025 ... CAGR (2026-2035) 17.85%."},{"url":"https://www.credenceresearch.com/report/data-science-and-predictive-analytics-market","text":"The Data Science and Predictive Analytics Market was valued at USD 14.39 billion in 2024 and is projected to reach USD 56.32 billion by 2032, CAGR 18.6%."}]}],"faq":[],"comparisons":[],"sources":[{"url":"https://domino.ai","text":"Domino Data Lab, Inc."},{"url":"https://domino.ai/platform/open-ecosystem","text":"Domino Enterprise AI Platform"},{"url":"https://www.consainsights.com/reports/mlops-market","text":"Mlops Market — USD $4.5 Billion in 2024, Growing to USD 37.57 by 2033 at 24.8% CAGR"},{"url":"https://www.verifiedmarketreports.com/product/mlops-market/","text":"MLOps Market size was valued at $4.3 Billion in 2026 & is estimated to reach $89.9 Billion by 2034, exhibiting a CAGR of 45.8%."},{"url":"https://www.ijert.org/mlops-unlocking-potential-of-machine-learning-operations","text":"Projected to grow from $1.1 billion to $5.9 billion by 2027, at a CAGR of 41.0% (MarketsandMarkets, cited)."},{"url":"https://www.linkedin.com/posts/mauricio-hidalgo_genai-ai-machinelearning-activity-7353189853909409792-Ezxn","text":"Today the MLOps market is estimated at $2–3 billion, with projections reaching $16–34 billion by 2030 (source: Grand View Research)."},{"url":"https://www.marketsandmarkets.com/Market-Reports/ai-model-risk-management-market-145025445.html","text":"Market projected from USD 5.7B in 2024 to USD 10.5B by 2029; CAGR 12.9%."},{"url":"https://www.marketresearchfuture.com/reports/ai-model-risk-management-market-31529","text":"2024 Market Size $5.342 Billion; CAGR (2025 - 2035) 15.91%."},{"url":"https://www.snsinsider.com/reports/ai-model-risk-management-market-8466","text":"2025 MARKET SIZE USD 5.87 Billion; CAGR 2026–2035 12.52%."},{"url":"https://www.linkedin.com/pulse/competitive-landscape-ai-model-risk-management-market-shraddha-kale-zzx0f","text":"Projected to surpass $11 billion by 2029; CAGR 12%."},{"url":"https://www.linkedin.com/pulse/cost-optimization-service-market-future-growth-trends-pmcpf","text":"was valued at USD 1.68 Billion in 2025 and is projected to reach USD 5.22 Billion by 2035."},{"url":"https://www.dcmarketinsights.com/report/us-data-center-infrastructure-market","text":"U.S. Data Center Infrastructure Market Size 2025 USD 49,639.54 Million; CAGR 12.06%."},{"url":"https://www.linkedin.com/posts/arturoferreira_the-ai-market-will-hit-18-trillion-by-2030-activity-7381682364646723585-KC0g","text":"AI Infrastructure & Compute 2025: $110B; 2030: $340B; CAGR: 25%."},{"url":"https://www.futuremarketinsights.com/reports/data-science-platform-market","text":"The data science platform market is projected to grow from USD 177.6 billion in 2025 to USD 2,266.8 billion by 2035, at a CAGR of 29.0%."},{"url":"https://www.marketresearchfuture.com/reports/data-science-platform-market-5201","text":"The Data Science Platform Market stood at an estimated USD 117.70 billion in 2025 ... CAGR (2026-2035) 17.85%."},{"url":"https://www.credenceresearch.com/report/data-science-and-predictive-analytics-market","text":"The Data Science and Predictive Analytics Market was valued at USD 14.39 billion in 2024 and is projected to reach USD 56.32 billion by 2032, CAGR 18.6%."}]}