AI Observability Solution: Build, Deploy, Optimize, and Govern Your AI
Our comprehensive AI capability empowers organizations to build, deploy, monitor, and optimize machine learning (ML) and large language models (LLMs) across a wide spectrum of applications.
Key Features and Benefits:
Build-Trace, Evaluate, Iterate: A complete toolkit for constructing, assessing, refining, and debugging ML and LLM models.
Deploy-Surface, Resolve, Improve: Streamlined deployment processes ensure models are exposed, issues are addressed, and performance is continually enhanced.
Monitor-Visualize Build Workflows: Robust monitoring and visualization tools track build workflows for insights and efficiency.
Optimize Model Performance: Utilize advanced techniques to optimize and improve model accuracy, efficiency, and effectiveness.
Forecasting Models: Predict demand and churn to make informed business decisions.
Regression & Classification Models: Build and deploy powerful models for various prediction and categorization tasks.
Recommender Systems: Develop personalized recommendation engines to enhance user experiences.
Computer Vision: Leverage image classification, object detection, and hybrid models that combine tabular data with images.
LLM Ops: Fine-tune models, manage vector stores for efficient document retrieval, and create retrieval-augmented generation applications.
ML Ops:
Real-time Feature Stores: Maintain and serve features for ML models in real-time.
Drift Detection: Monitor model performance for changes in data distribution.
Observability & Explainability: Understand model behavior and predictions.
Model Hosting: Deploy and manage models at scale.
Data Pipelines: Build robust pipelines for data processing and transformation.
Anomaly Detection: Identify unusual patterns or outliers in data.
Performance Visualization: Gain insights through visual representations of model performance.
Model Tracking: Track model versions, experiments, and parameters.
Dataset Management: Organize, version, and catalog datasets.
Versioning: Track changes and iterations of models and datasets.
CI/CD Integration: Automate model building, testing, and deployment.
Prompt Logging & Evaluation: Track and assess the effectiveness of prompts used in LLM applications.
Security and Compliance:
Firewall Deployment: Implement real-time checks to prevent sensitive data leakage, toxic language generation, hallucinations, and prompt injection.
Selective Redaction: Safeguard sensitive information while maintaining control over model outputs.
Monitoring and Explainability:
NLP & Computer Vision Monitoring: Track performance and identify biases in language and image models.
Enterprise Document & Data Search: Easily search and access information across your organization.
Model Governance:
Risk & Compliance Management: Ensure adherence to regulations and ethical standards in AI development and deployment.
End-to-End AI Lifecycle Management
Our AI Observability Solution provides a comprehensive, integrated platform for managing the entire AI lifecycle, from model development to deployment and ongoing optimization. We prioritize security, compliance, and performance, enabling your organization to harness the power of AI responsibly and effectively.