Neptune AI

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