Home
Components Library
Contact Us
Home
Components Library
Unlock the
Power
of OdyssAI's AI Components Library
Discover engines that align with your use case
Explore the underlying agents and decide which to utilize
Delve into the code details
Developer Docs
Ready to start building?
Contact Us
Engines
Understand how to implement our agents to solve different commercial business problems, and get a glimpse of the possibilities.
ENGINE
Branded Graphics Retrieval
Find the most relevant brand images to fit your marketing content.
ENGINE
Call to Action Generator
Generate new and exciting button text for your email or site to boost clickthrough rate.
ENGINE
Email Generator
Save time and money by generating email content in-house with just a prompt and receive a full email in just under a minute.
ENGINE
Email Subject Line Generator
Save time and money by refreshing an existing email's subject lines with a short prompt.
ENGINE
Key Message Text Generator for Emails
Deliver your brand's key data points with efficiency.
ENGINE
LAILA for Sub-National Sales Analytics
Get fast, accurate answers to your subnational analytics questions using natural language.
ENGINE
Lead In Text Generator for Emails
Welcome the reader into your brand's email and inspire them to read on.
Agents
Learn about the agents that form the core of the OdyssAI framework, and understand their capabilities and configurations
AGENT
Content Creator Agent
Generate brand-specific text that adheres to specified content and regulatory guidelines.
AGENT
Text2SQL
Transforms analytics questions into SQL queries and delivers accurate results by applying metadata, business rules, and domain knowledge.
AGENT
Visualization Agent
Dynamically generate a context-aware visualization tailored to your question and the tabular results
SUPERVISOR AGENT
Email Supervisor Agent
A supervising agent that allows coordination and creation of multiple pieces of content, including image selection, with one prompt.
SUPERVISOR AGENT
Structured Data Analytics Supervisor Agent
Manages the end to end lifecycle of user questions on structured data, ensuring accuracy, efficiency, and continuity across interactions.