Trusted Agentic Analytics

What is askEdgi and how is it different from ChatGPT or traditional BI tools?
askEdgi is a self-service, agentic analytics product. Unlike ChatGPT, which is a general-purpose language model, or traditional BI tools that rely heavily on structured dashboards and manual data querying, askEdgi is tailored for rapid, governance-aware data insights. It combines agentic AI with direct source system connectivity and advanced metadata handling to deliver relevant, actionable responses quickly and securely.

How does askEdgi reduce time-to-insight compared to traditional methods?
askEdgi connects directly to source systems or warehouses, pulls only the data required to answer a specific question, and analyzes it in a temporary, secure workspace. This streamlines the process and delivers insights significantly faster than traditional, manual methods.

How is askEdgi’s AI better than other platforms like Snowflake or Alation?
askEdgi uses a hybrid approach that combines in-house extensions for governance-aware tasks with secure integration to trusted public large language models (currently OpenAI, Gemini). This approach delivers governance-sensitive, context-rich analysis, unlike Snowflake (which focuses mainly on warehousing) or Alation (which is primarily a metadata catalog). askEdgi also ensures sensitive enterprise data remains internal by not sharing it with public AI providers.

What are Recipes, and how do they benefit both creators and consumers?
Recipes in askEdgi are predefined logic templates. They help creators by making it easy to build and share reusable analytics logic. For consumers, Recipes provide quick, consistent access to validated insights, bridging the gap between ad-hoc queries and repeatable business intelligence.

What data sources does askEdgi support?
askEdgi can connect to 150+ types of source systems—both warehoused and non-warehouse. To see the complete list of connectors, see the connectors page. 

Is askEdgi available as a SaaS or on-prem deployment?
askEdgi has two main features: Catalog discovery and data analytics. Data Analytics is only available on a SaaS environment; however, Catalog discovery is available on an on-prem deployment with its complete enterprise packaging of the Data Governance Platform. 

Can I upload my own datasets (CSV, Excel, etc.)?
Yes. askEdgi allows you to upload your own datasets, including CSV and Excel files, enabling you to analyze custom or ad-hoc data along with your enterprise cataloged data and publicly available data. 

Can it connect to cloud data warehouses like Snowflake, BigQuery, or Redshift?
Yes. askEdgi can connect seamlessly to leading cloud data warehouses such as Snowflake, BigQuery, and Redshift, as well as many other cloud and on-premises data sources.

Does askEdgi integrate with existing data catalogs or governance tools?
Yes. askEdgi integrates with your existing data catalogs and governance tools, ensuring consistency, compliance, and leveraging your current governance investments.

What if users don’t know what questions to ask?
askEdgi offers domain-specific “Recipes” that suggest meaningful questions based on the dataset and context.

How can askEdgi give insights for cross-functional questions without a data warehouse?
AskEdgi connects directly to source systems, pulls only the data needed for a specific question, and analyzes it in a temporary secure workspace.

What about companies that already have a data warehouse?
AskEdgi can enhance your warehouse by combining it with non-warehoused data, adding context through metadata. The result is that you get a better user experience. 

What’s the maximum size of data askEdgi can handle?
Up to 100GB per session for uploaded files, with real-time queries on live data sources askEdgi can handle about 1TB of data in its workspace. For more limit, please ask for a bigger server capacity.

Can askEdgi handle unstructured or semi-structured data?
Yes. Text fields and logs can be analyzed using AI Functions for sentiment, classification, and anomaly detection. However, if you have PDF files, etc, askEdgi can’t analyze them. If unstructured data is in a database or application, askEdgi can work with it using AI functions. 

How do AI Functions work?
AI functions use advanced AI models to analyze free-text data inside structured datasets, like detecting sentiment, entities, or errors.

How do you ensure data security?
Data never leaves your environment without encryption, strict access controls, and policy enforcement based on your existing governance setup.

Is enterprise data shared with an AI model provider?
No. askEdgi does not send your raw enterprise data to public AI providers. askEdgi creates a RAG with extended metadata, builds queries, and then runs in a secure temporary workspace. 

How does askEdgi answer questions without sharing data with AI providers?
By using retrieval-augmented generation (RAG) techniques, askEdgi keeps data processing internal, feeding only relevant metadata or summaries to the AI model.

Is the AI model trained on my data?
No. askEdgi does not train its models on your data. Your data is used solely for in-session processing.

How does askEdgi handle PII or sensitive data?
Sensitive data is automatically detected using metadata classification, and access is restricted according to your governance rules.

How does askEdgi ensure privacy compliance?
askEdgi enterprise offering has integrated compliance features that lets you manage the entire privacy compliance.

How does askEdgi ensure data governance and compliance?
It enforces access policies, checks permissions before querying data, and logs every query for traceability—all integrated with your governance policies.

Can I control who accesses what data?
Yes. Role-based access controls and data-level permissions allow precise governance.

Does askEdgi log and audit user queries?
Yes. Every question, dataset accessed, and action taken is logged for auditing and compliance.

How does askEdgi ensure data quality?
Using the Data Quality module, you can define your data quality policies and their enforcement. In case the data is of low quality, OvalEdge can restrict its use in AskEdgi.

Can I fine-tune the AI responses or SQL generation?
Yes. Users can refine, adjust, and override generated queries, with enterprise admins able to configure logic templates and recipe behavior.

Can I share or export insights with others in my team?
Yes. Share results, visualizations, and saved questions across your team.

Can I collaborate with others on the same question or report?
Yes. Multiple users can refine questions, co-develop recipes, and track insights together.

Is the data in askEdgi real-time or scheduled?
It supports real-time querying and also allows scheduled refreshes when needed.

Can I trigger data refreshes manually or automatically?
Yes. Users can configure both manual and automated refresh options.

Do you use your own model or publicly available models like ChatGPT?
AskEdgi uses a hybrid approach—combining in-house extensions for governance-aware tasks and secure integration with trusted public LLMs for language understanding. In the current version, we are supporting OpenAI and Gemini. 

How does askEdgi use retrieval-augmented generation (RAG)?
AskEdgi has built in AI contextual catalog, which keeps capturing all the contextual information at the table, file, report, and column level. Now, all this information goes to RAG, and then all the questions are routed to RAG to find the most appropriate data sets based on RAG and other governance policies. 

Which public LLMs are supported (e.g., OpenAI)?
As of now, we are supporting OpenAI and Gemini. In the coming release, we'll also support other models like Bedrock, Azure, Grok, etc.