About Zenbase AI

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.

```xml <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. </problem> <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. </solution> <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. </features> <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. </target_audience> <revenue_model> Zenbase AI offers tiered pricing plans, including a free open-source option, a Startup plan starting at $1000/month, and custom Enterprise contracts with SOCII/HIPAA compliance and on-premise deployment options. </revenue_model> ```

What does Zenbase AI do?

Where is Zenbase AI located?

Zenbase AI is based in San Francisco, United States.

When was Zenbase AI founded?

Zenbase AI was founded in 2024.

How much funding has Zenbase AI raised?

Zenbase AI has raised $500.0K.

Who founded Zenbase AI?

Zenbase AI was founded by Amir Mehr.

Amir Mehr - Co-Founder/CEO

Location

San Francisco, United States

Founded

2024

Funding

$500.0K

Employees

4 employees

Investors

Pioneer Fund Y Combinator

Zenbase AI

San Francisco, United StatesFounded 20244300+ followers10/10 TractionRelative Traction Score based on online presence metrics compared to companies in the same age group.

Updated 20 months ago

Funding

$500.0K 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.

Funding rounds are not available yet.

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.