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Sitemap: https://domino.ai/sitemap.xml

# Domino Data Lab

> Enterprise AI Platform for building, deploying, and managing AI at scale

## Overview

Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. The Domino Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance. Founded in 2013 and backed by Sequoia Capital, Coatue Management, NVIDIA, and Snowflake.

## Key Capabilities

- **Unified Platform**: Centralized system of record for AI operations across the enterprise
- **Open Ecosystem**: Access to the broadest range of open source and commercial tools and infrastructure
- **Hybrid Multi-cloud**: Run AI workloads on-premises, hybrid, or across any cloud
- **Enterprise Governance**: Audit-ready platform with reproducibility and compliance controls
- **Cost Optimization**: Intelligent compute utilization and cloud cost management

## Platform Components

### Enterprise AI Platform
https://domino.ai/platform
Unified platform for building, deploying, and managing AI. Self-service access to tools, data, and compute with enterprise governance. Supports traditional ML, GenAI, and LLMs across any infrastructure.

### AI Infrastructure
https://domino.ai/platform/on-demand-ai-infrastructure
- On-demand access to tools, data, and compute resources
- Support for CPUs to powerful GPU clusters
- Elastic scaling and intelligent resource allocation
- Spot Instance usage and autoscaling for cost optimization

### Data Management
https://domino.ai/platform/data-management
- Secure access to structured and unstructured data without copying
- Self-service connections to enterprise datasets
- Feature engineering and AI-ready dataset creation

### AI Workbench
https://domino.ai/platform/ai-workbench
- One-click access to IDEs: Cursor, Jupyter, RStudio, VS Code
- Support for any programming language and framework
- Distributed training and hyperparameter optimization
- Fine-tuning capabilities for foundation models

### MLOps
https://domino.ai/platform/mlops
- End-to-end model lifecycle management
- Automated deployment and monitoring
- 50% reduction in model lifecycle time
- 6x faster model deployment
- Governed model registry with full reproducibility

### AI Governance
https://domino.ai/platform/ai-governance
- Policy creation and management for ML, GenAI, and LLMs
- Automatic tracking of experiments and dependencies
- Built-in audit trails for enterprise-wide visibility
- Model risk management and compliance

### FinOps
https://domino.ai/platform/finops
- 40% reduction in infrastructure costs
- Granular usage reports and budget enforcement
- Proactive cost optimization recommendations

## Industry Solutions

### Life Sciences
https://domino.ai/solutions/life-sciences
- Preclinical research
- Clinical development
- Manufacturing optimization
- Marketing and operations

### Financial Services
https://domino.ai/solutions/banking-financial-services-insurance
- Risk modeling and assessment
- Fraud detection
- Customer analytics
- Regulatory compliance

### Public Sector
https://domino.ai/solutions/public-sector
- AI-powered defense applications
- Mission-critical operations
- Secure, air-gapped environments


## Use Cases
https://domino.ai/solutions/use-cases 
- **Vibe Modeling**: Use natural language to generate code, run experiments, and compare results
- **Responsible AI**: Turn governance into a swift and dependable process — and make AI responsible by default
- **Statistical computing**: Accelerate submissions with audit-ready traceability
- **Model risk management**: Mitigate risk, accelerate compliance, and make trustworthy decisions
- **NIST AI Risk Management**: Ensure ethical, compliant, and mission-ready AI

## Key Metrics

- 50%+ reduction in end-to-end model lifecycle time
- 6x faster model deployment
- 40% reduction in infrastructure costs
- 75% faster onboarding for data scientists
- 4x increase in model monitoring capability

## Customer Success
https://domino.ai/customers 
Trusted by leading enterprises including:
- Bayer (crop science and agriculture)
- Moody's Analytics (financial services)
- U.S. Navy (defense and security)
- Bristol Myers Squibb (pharmaceuticals)
- Topdanmark (insurance)

## Deployment Options

### Fully Managed SaaS
- Single-tenant, fully isolated resources
- Zero infrastructure burden
- Get started in hours

### Self-Managed
- Deploy in your VPC (AWS, Azure, GCP, or on-premises)
- Full control over performance, data, and access
- Support for air-gapped environments

## Learning

### Rev Conference (Annual)
https://rev.domino.ai
Free enterprise AI & MLOps conference. Thought leadership, innovation, best practices, and networking.

### Data Science Leaders Podcast
https://domino.ai/data-science-leaders-podcast
Interviews with industry leaders on AI strategy, team building, change management, and innovation.

### Data Science Dictionary
https://domino.ai/data-science-dictionary
Comprehensive glossary of data science, machine learning, and AI terms with clear definitions and explanations for practitioners at all levels.

### Domino Blog
https://domino.ai/blog
Technical articles, case studies, product announcements, and insights on enterprise AI, MLOps best practices, and data science leadership.

### Events
https://domino.ai/events
Upcoming webinars, conferences, workshops, and community events covering enterprise AI topics, platform updates, and customer success stories.

### Resources
https://domino.ai/resources
White papers, eBooks, solution briefs, analyst reports, and guides on implementing enterprise AI, scaling data science teams, and achieving AI ROI.

### Demo Hub
https://domino.ai/demo-hub
Collection of interactive product demonstrations, platform walkthroughs, and feature showcases illustrating key capabilities and use cases.

## Developer Resources

### APIs
- **Domino Platform API**: REST API endpoints for core functionality
- **Domino Data API**: Consistent data access patterns for files and SQL tables
- **python-domino Library**: Python wrapper for API endpoints
- **Domino R Package**: R integration with full Domino capabilities
- **Model Monitoring API**: Programmatic access to model monitoring
- **Governance API**: Manage AI governance programmatically

### Documentation
- Main documentation: https://docs.domino.ai/
- API reference: https://docs.domino.ai/6.3/reference/api/index
- Python library: https://github.com/dominodatalab/python-domino
- Support portal: https://support.domino.ai/support/s/

## Target Users

### Data Scientists
https://domino.ai/solutions/data-scientists 
- Flexibility to use preferred tools without technical hurdles
- Self-service access to compute and data
- Collaboration and knowledge sharing

### Data Science Leaders
https://domino.ai/solutions/data-science-leaders 
- Team and project management at scale
- Accelerated project delivery
- Best practice establishment

### IT Leaders
https://domino.ai/solutions/it-leaders 
- Single platform for secure, compliant operations
- Reduced support costs through automation
- Enterprise-grade security and governance

## Security & Compliance
https://domino.ai/security 
- Enterprise-grade security controls
- Robust audit trails and reproducibility
- Regulatory compliance support
- Data residency and sovereignty options
- Support for air-gapped deployments

## Compliance Certifications & Standards

### Security & Quality Management

- **SOC 2 Type 2**: Service Organization Control compliance for security, availability, and confidentiality
- **ISO 27001**: Information security management system certification
- **ISO 9001**: Quality management system certification

### Healthcare & Life Sciences

- **GxP**: Good Practice quality guidelines (GLP, GCP, GMP)
- **HIPAA**: Health Insurance Portability and Accountability Act compliance
- **21 CFR Part 11**: FDA electronic records and signatures compliance
- **EudraLex**: European Union guidelines for Good Manufacturing Practice
- **WHO Annex 5**: World Health Organization quality assurance standards

### Data Privacy

- **GDPR**: General Data Protection Regulation compliance for EU data protection

## Contact

- Website: https://domino.ai
- Demo: https://domino.ai/demo
- Contact: https://domino.ai/contactus
- Request a demo: https://domino.ai/request-a-demo 
- Support: https://support.domino.ai/support/s/