Choose different models for various functionalities optimizing AI performance across every step of implementation
Test simultaneously on different LLMs to compare performance and analyse results in real-time
Customise pre-trained LLMs on your training data with advanced fine-tuning options
Analyse historical sessions for deep observability to understand multiple LLM calls, control flows and decision-making processes
Version Snapshots capturing the state of an AI agent, enabling comparison, rollback, and collaborative development
Provide granular feedback and dive deeper with citations and links to source information across documents, conversations, and applications
Prevent hallucinations by grounding Agents with thresholds and blocked messages as back-ups
Avoid inappropriate responses by activating content filters and denied topics from out of the box library
Comprehensive error reporting and audit logs to understand API performance and usage surge
Deploy seamlessly across major cloud platforms (AWS, Azure, GCP and many others), within your own Virtual Private Cloud (VPC) or on-premise
Ensure uncompromised security with Role-Based Access Control (RBAC) from the source application
Safeguard sensitive information through PII data masking and encryption techniques
