Overview
Crystal is an AI Agent for Decision Intelligence that transforms business data into high-impact decisions. It combines advanced reasoning and decision-making capabilities to support all business decisions.
Key Features:
- Crystal connects to data sources and automatically configures data models, providing in-depth insight analysis to support smarter business decisions.
- Through the integration of proprietary LLMs, Crystal can answer queries in natural language, understanding concepts, business words, and nuances to deliver context-specific data-driven insights.
- Crystal offers safe and immediate access to the entire business knowledge base with universal no-code connectors compatible with both structured and unstructured data.
- Crystal automatically guides the configuration of your data model, generating metadata and aliases, and identifying relations among information pieces through automatic joins between data sources.
- Crystal’s integrated web search enables user questions in natural language and provides real-time answers based on up to 20 verified web sources.
- Crystal’s AI Explainability function guarantees total transparency by allowing users to retrace the process behind every insight, delivering clear, detailed, and verified answers.
- Crystal analyzes your data even when you're offline, notifying you of important changes by setting alerts to track data movements.
- Crystal uses an agentic approach to identify the root causes behind specific data movements, providing detailed analysis of correlations between events, temporal trends, and category variations.
- Crystal allows you to organize and personalize your insights through a canvas-like feature, keeping them on hand at any given time.
- Crystal can naturally switch between languages, accurately capturing lexical and cultural nuances in any context.
Benefits:
- Crystal enhances decision-making by providing advanced reasoning and decision-making capabilities, transforming business data into actionable insights.
- It ensures seamless integration with existing data systems through no-code connectors, making it accessible to users without technical expertise.
- Crystal offers transparency and clarity in data analysis, allowing users to understand the process behind insights and make informed decisions.
Use Cases:
- Crystal can be used in asset management to harness actionable data and insights for managing clients' portfolios and investment strategies.
- It is suitable for government sectors, providing decision intelligence to optimize operations and policy-making.
- Crystal is applicable in the insurance industry, offering insights to improve risk assessment and customer service.
Capabilities
- Configures data models automatically
- Generates metadata and aliases
- Identifies relationships among information pieces
- Answers queries in natural language
- Delivers context-specific, data-driven insights
- Connects to structured and unstructured data
- Integrates with universal no-code connectors
- Enables web search using natural language
- Delivers clear, detailed, and verified answers
- Monitors data to identify trends, anomalies, and events of interest
- Translates natural language requests into SQL
- Validates user requests against data models
- Extracts and analyzes temporal trends and category variations
- Ensures security through ISO 27001 and SOC 2 certifications
- Supports third-party IdP and Row-Level Security (RLS) management
- Automates data modeling processes
- Provides detailed analysis of event correlations
- Enriches conversational context and understands user needs
- Analyzes data even when offline
- Tracks data movements and identifies root causes
- Proactively monitors and notifies users of important changes
- Manages data-driven insights for government and insurance sectors
- Enhances operational efficiency in industries such as energy and construction.
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