Frequently Asked Questions
Find answers to common questions about Codd AI, its features, implementation, and usage. If you can't find what you're looking for, please contact our support team.
What is Codd AI?
Codd AI is an advanced analytics platform that leverages Generative AI to automatically create a comprehensive semantic layer over your data assets while incorporating your business-specific rules, logic, and domain expertise. This intelligent layer bridges the gap between raw data and actionable insights, automatically translating natural language business questions into complex data operations to generate business-relevant insights rapidly.
How does Codd AI differ from traditional data platforms?
Codd AI offers four key advantages over traditional platforms:
1. Semantic Layer Automation vs. Manual Modeling
Traditional Platforms: Require teams of data engineers and analysts to manually build data models, joins, metrics, and business logic. This is time-consuming, inconsistent, and prone to human error.
Codd AI: Uses generative AI to automatically generate semantic models, map relationships, and create business metrics from both technical metadata and business documentation — cutting modeling time by 70%+.
2. Business Context Integration vs. Schema-Only Views
Traditional Platforms: Focus on schemas, tables, and SQL transformations, but don't capture organizational business logic, synonyms, or contextual rules.
Codd AI: Ingests not only schemas but also business documents, glossaries, and tribal knowledge — aligning data with business language and context for "one version of the truth."
3. Conversational Insights vs. Dashboard Reliance
Traditional Platforms: Business users depend on pre-built dashboards or writing SQL to answer new questions. Insights are delayed and bottlenecked by data teams.
Codd AI: Enables natural-language questions ("What's our average deal size this quarter in EMEA?") → instant governed answers. Users don't wait on new dashboards or queries.
4. Fits Your Stack vs. Rip-and-Replace
Traditional Platforms: Often require migration or adopting their proprietary workflows.
Codd AI: Overlays on top of your existing stack (Snowflake, Databricks, BigQuery, Tableau, Power BI, etc.), enriching what you already have instead of replacing it.
What industries can benefit from Codd AI?
Codd AI is designed to be horizontal — meaning it can help almost any industry that struggles to turn raw data into trusted, business-ready insights. But some industries stand out because they deal with complex metrics, regulations, and siloed data. These include financial services, healthcare, retail, manufacturing, and technology companies where accurate, contextualized analytics are critical for decision-making.