The Synthesis Company provides automated solutions for academic literature synthesis, specifically targeting screening and extraction tasks. This platform accelerates research workflows for biopharma, AI labs, and academic researchers. It delivers synthesized literature reviews efficiently, streamlining evidence-based decision-making.
Funding
$500K 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.
- Startup funding source · Source unavailable
- Startup funding source · Source unavailable
Founders
Product
Problem
Developing applications using Large Language Models (LLMs) requires significant effort in prompt engineering and model selection, diverting developer focus from core coding tasks. Manually adjusting prompts and classifiers to optimize LLM performance is time-consuming and inefficient.
Solution
Zenbase AI provides developer tools and cloud infrastructure to automate prompt engineering and model selection for LLMs. The platform continuously optimizes prompts and classifiers, enhancing evaluation accuracy and reducing the time spent on manual adjustments. By using AI to experiment with prompts and models, Zenbase identifies the most effective configurations for executing specific functions. This automated optimization, combined with expert prompting techniques, improves LLM performance and streamlines the development process.
Target Audience
Zenbase AI targets developers and teams building applications with LLMs, particularly those focused on scaling AI solutions and improving the reliability of AI-driven functions.
Features
- Automated prompt engineering and model selection using AI-driven optimization algorithms.
- Continuous experimentation with prompts and models to maximize coverage of test cases.
- Custom optimization algorithms developed in-house and leveraging research from DSPy.
- Classifier calibration to match human reviewer standards for programmatic evaluation.
- Integration with existing evaluation tooling for seamless workflow incorporation.
- Support for TypeScript and Python with code examples for easy implementation.
- Hosted API for continual optimization and dedicated Slack channel support.