Lepton AI
Build and deploy high-performance AI applications at scale with zero infrastructure management.
The open-source framework for building data-driven AI applications and embedded analytics.
Latitude is a high-performance, open-source framework designed for AI teams to bridge the gap between data warehouses and large language models (LLMs). By utilizing a SQL-first approach, Latitude allows developers to build data-driven applications where the AI can query, analyze, and visualize data in real-time. The platform’s architecture focuses on composability, offering a suite of UI components for embedding analytics directly into SaaS products. In the 2026 market landscape, Latitude differentiates itself by providing a robust middle-layer that handles the complexities of data fetching, prompt engineering, and result caching. It integrates natively with modern data warehouses like Snowflake and BigQuery, and supports orchestration across major LLM providers including OpenAI, Anthropic, and Google Vertex AI. Its version-control-friendly structure ensures that data schemas and prompt templates remain synchronized, making it an essential tool for enterprise-grade AI agents that require high data accuracy and low latency execution.
Allows developers to embed dynamic SQL results directly into LLM prompt templates using curly-brace syntax, ensuring the AI always has the freshest data context.
Build and deploy high-performance AI applications at scale with zero infrastructure management.
The search foundation for multimodal AI and RAG applications.
Accelerating the journey from frontier AI research to hardware-optimized production scale.
The Enterprise-Grade RAG Pipeline for Seamless Unstructured Data Synchronization.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Integrates with tools like dbt or Cube to leverage pre-defined business logic and metrics within the AI workflow.
An intermediate caching mechanism that stores SQL query results and LLM responses to reduce latency and API costs.
A set of headless UI components designed to render complex data visualizations generated by AI models.
Enables switching between GPT-4, Claude 3.5, and local Llama models based on task complexity or cost constraints.
Built-in logs that track the full lifecycle of a request: from the SQL query execution to the final LLM output.
All configurations, prompts, and queries are stored as code, allowing for standard CI/CD practices and peer reviews.
Support agents spend too much time manually looking up user subscription history and usage metrics in SQL databases.
Registry Updated:2/7/2026
Embed the Latitude component into the internal CRM.
Agent clicks 'Summarize User History' and receives an AI-generated brief.
Finance teams manually compile monthly reports into PDFs, taking days of manual data entry.
Users of a SaaS platform want to ask questions about their own data without a complex UI.