Neptune AI
Enterprise ML experiment tracking platform. Deep metrics, LLM support, CI/CD integration, unlimited teams. Multi-cloud deployment with audit logs.
Empower your ML/AI teams with Neptune AI’s enterprise-grade experiment tracking platform designed for SaaS research teams, LLM developers, and growing startups. Transform how your organization tracks, compares, and manages machine learning experiments with comprehensive metadata management, real-time collaboration, and enterprise-scale infrastructure.
Core Features & Capabilities:
- Deep Metrics Tracking: Comprehensive experiment logging with custom metrics, hyperparameters, and model artifacts
- Advanced Metrics Visualization: Interactive charts, comparison views, and real-time monitoring dashboards
- Intelligent Experiment Management: Organize, search, and compare experiments with powerful filtering and tagging
- LLM & Foundation Model Support: Specialized tracking for large language models and foundation model training
- Smart Search & Compare: Fast search capabilities across all experiments with side-by-side comparisons
- CI/CD Integration: Seamless integration with existing DevOps workflows and automated pipelines
- Parallel Team Collaboration: Unlimited users and teams with role-based access controls
- Comprehensive API & Connectors: Python/R SDKs, REST APIs, and integrations with popular ML frameworks
- Multi-Cloud & Hybrid Deployment: Support for cloud, on-premises, and self-hosted environments
- Cross-Cloud Compatibility: Works across AWS, Azure, GCP, and hybrid cloud infrastructures
- Enterprise Audit & Logging: Complete audit trails and compliance-ready logging capabilities
- Automatic Versioning & Rollback: Model versioning with easy rollback and reproducibility features
- SSO & Privacy Controls: Enterprise security with single sign-on and comprehensive privacy settings
- Streamlined Onboarding: Quick setup with guided onboarding for teams of all sizes
- Flexible Export/Import: Data portability with comprehensive export and import capabilities
Key Benefits:
- Accelerate ML model development with 50% faster experiment iteration
- Improve team collaboration with real-time experiment sharing and insights
- Ensure reproducibility with comprehensive experiment tracking and versioning
- Scale effortlessly from research prototypes to production deployments
- Maintain compliance with enterprise-grade security and audit capabilities
- Reduce infrastructure costs with optimized resource management
Use Cases:
LLM Development: Track large language model training runs, fine-tuning experiments, and prompt engineering workflows with specialized metrics and visualizations designed for transformer models and neural architecture search.
Traditional ML: Manage classification, regression, and clustering experiments with comprehensive hyperparameter tracking, feature engineering logs, and model performance analysis across the entire ML lifecycle.
SaaS Product Development: Integrate ML experiment tracking into your product development workflow with automated CI/CD pipelines, A/B testing capabilities, and production model monitoring for data-driven product decisions.
Enterprise AI Initiatives: Scale AI across your organization with multi-team collaboration, enterprise security controls, audit trails, and compliance features required for regulated industries and large-scale deployments.
Research & Academia: Accelerate research with collaborative experiment tracking, reproducible research workflows, publication-ready visualizations, and seamless sharing capabilities for academic teams and research institutions.
Production ML Operations: Monitor production models with real-time performance tracking, drift detection, automated alerting, and seamless integration with MLOps pipelines for continuous model improvement.
Startup & Scale-up Teams: Get started quickly with flexible pricing, easy onboarding, and scalable infrastructure that grows with your team from proof-of-concept to enterprise deployment.
Academic Research: Support research workflows with collaborative experiment tracking, publication-ready outputs, and academic pricing for universities and research institutions worldwide.
Pricing: Free tier available, Academic licenses for educational institutions, Flexible paid plans for growing teams, Enterprise solutions with custom pricing
