Asserto AI offers a SaaS platform for LLM prompt development, providing a collaborative IDE for prompt management and versioning. Its playground enables iterative refinement and data-driven evaluation, allowing teams to test prompt performance, compare models, and optimize LLM applications.
Funding
$110K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing and deploying reliable Large Language Model (LLM) applications requires rigorous prompt engineering, version control, and systematic evaluation to ensure accuracy and consistency. Without specialized tools, teams struggle to manage prompt iterations, test performance against diverse datasets, and maintain quality across different model versions and providers.
Solution
Asserto AI provides a comprehensive SaaS platform designed to streamline the LLM prompt development lifecycle. It offers a collaborative Integrated Development Environment (IDE) for prompt composition, versioning, and management, akin to a Content Management System (CMS) for prompts. A dedicated playground environment allows for iterative refinement and testing of prompt templates, including support for function and tool calling within chat flows. The platform facilitates data-driven evaluation and testing directly through the UI, enabling users to define assertions for validating structured outputs and ensuring consistent performance. Teams can compare results across different prompt versions, models, and providers, tracking key metrics like accuracy, latency, and cost to optimize LLM application effectiveness.
Target Audience
The platform is designed for cross-functional teams involved in LLM application development, including prompt engineers, software developers, and domain experts seeking to enhance prompt quality and accelerate deployment.
Features
- Collaborative IDE for prompt composition, versioning, and management.
- Interactive playground for prompt template refinement with support for function and tool calling.
- Data-driven prompt evaluation and testing framework with assertion capabilities for structured output validation.
- Performance comparison tools for analyzing different prompt versions, models, and providers.
- Metrics tracking for accuracy, latency, and cost optimization.
- Support for complex multi-agent systems and advanced workflows.
- Model and LLM provider flexibility to select optimal solutions.
- Streamlined cross-functional collaboration features for engineering, prompt engineering, and domain expert teams.