What is Kontext Labs?
Kontext Labs provides an AI-native data intelligence platform designed to scale analytics maturity from simple questions to autonomous data science within a unified workspace. The platform allows users to query data using natural language, generate instant charts to visualize trends, create notebooks combining code and visuals, and deploy autonomous agents for root cause analysis.
The platform offers multiple capability levels, starting with basic data questioning and progressing to automated data science with AI agents that uncover the 'why' behind anomalies. It supports various data operations including SQL queries, chart generation, and Python-based analysis through different AI agents.
Features
- Natural Language Querying: Query data using simple natural language commands
- Automated Visualization: Generate instant charts to visualize trends and outliers
- Notebook Creation: Create notebooks combining code, visuals, and narrative for deep analysis
- Autonomous Data Science: Deploy AI agents for root cause analysis of anomalies
- Multi-Level Analytics: Scale from basic queries to advanced data science in one platform
Use Cases
- Sales trend analysis over multiple quarters
- Identifying root causes behind business metric anomalies
- Creating data analysis notebooks with code and visualizations
- Generating business intelligence reports from raw data
- Conducting exploratory data analysis using natural language
FAQs
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What types of AI agents are available on the Kontext Labs platform?
The platform offers SQL, Chart, Unified, and Python AI agents for different types of data analysis tasks. -
What storage options are available with the free plan?
The free plan includes 50MB of encrypted storage with no backup retention. -
Where is data stored and processed on the platform?
Data is stored and processed in the AWS Sydney Region for basic plans, with regional options available for higher-tier plans.
