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Seek AI

Access & analyze complex datasets with generative AI for optimized ROI.
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What is Seek AI?

Seek AI provides a platform that enables businesses to query their data using natural language, empowering non-technical users to access insights without relying on data scientists. The platform integrates with various data sources such as Snowflake, BigQuery, Redshift, Databricks, and Azure, ensuring compatibility with existing systems. By converting natural language questions into SQL code, it simplifies the process of extracting information from databases. Additionally, Seek AI offers an embedded AI data analyst feature, allowing companies to incorporate advanced AI capabilities within their own products. The platform aims to streamline data analysis processes, increase efficiency, and improve organizational decision-making.



⚡Top 5 Seek AI Features:

  1. Empowering Business Users: Allows business users to query their data sets, freeing up data science teams from ad-hoc requests for analysis.
  2. Improving Effectiveness and ROI: Increases the effectiveness and ROI of data across an organization by providing critical insights and preventing blind reactions to industry trends.
  3. Automatic Conversion: Automatically converts natural language questions into high-quality SQL code for data queries.
  4. Faster Answers: This feature enables data teams to work on more complex tasks while business users get answers faster, reducing the need to interrupt data teams on Slack.
  5. SOC 2 Type II Compliant: Ensures data security and privacy with SOC 2 Type II compliance.



⚡Top 5 Seek AI Use Cases:

  1. Data Warehouse Integration: Easily connects to popular data warehouses like Snowflake, BigQuery, Redshift, Databricks, and Azure (SQL Server, Synapse).
  2. Natural Language Interface: Provides a natural language interface to data, making it easier for users to ask questions and find insights.
  3. Generative AI for Data Features: Adds generative AI for data features to products powered by Seek AI’s best-performing natural-language-to-SQL model.
  4. Improved Productivity: Helps businesses meet demands for ad-hoc data requests and remain focused on big questions that matter.
  5. Enhanced Security: Protects data security and privacy with SOC 2 Type II compliance.

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