Fiddler AI

Fiddler AI is a unified AI observability platform for LLMOps and MLOps that enables data science and engineering teams to move beyond the experimentation and testing phases, to monitoring more high-performing models in production (including tabular, deep learning, computer vision, natural language processing, and large language models). Combine the power of Amazon SageMaker AI for training and deploying models with Fiddler AI Observability to monitor, analyze, and improve ML models to ensure high-performing, accurate, and responsible AI applications.

Validate: Ship more models into production and increase confidence in your models' outputs. Validate and improve models before deployment for optimal outcomes.

Monitoring: Fiddler helps you reduce costs and increase efficiencies by tracking how all your tabular, natural language processing (NLP), computer vision (CV), deep learning, and large language model (LLM) deployments are performing. Identify and mitigate model performance, drift, data integrity, hallucination, accuracy, safety, and security issues before they impact your business.

Analytics: Fiddler's model analytics tool helps you gain actionable insights from your models to make data-driven business decisions. Understand trends and outliers at the macro-level using 3D UMAP and perform root cause analysis and diagnostics to understand the micro-level issues impacting your LLM and ML applications. Pinpoint specific areas to optimize by drilling down on segments of interest.

Fairness: Build transparent, accountable, and ethical practices for your business with responsible AI. Fiddler increases visibility in AI governance with continuous monitoring, while detecting and mitigating bias in datasets and models.

Enterprise-level scale: Fiddler helps companies securely operationalize and scale model deployment across their ML lifecycle. Fiddler provides SOC2 Type 2 security compliance and role-based access control (RBAC) so that users across the business receive level-specific permissions to access protected environments.

Start monitoring your ML models by simply uploading your baseline dataset and register your model with Fiddler. Publish production events and start analyzing your model's performance.

With this purchase, you are entitled to onboard up to 2 Models for up to 5 GB Data ingested per Month. To discuss custom solutions, please reach out to sales@fiddler.ai .