About Prediction Guard

Prediction Guard provides a secure GenAI platform that enables organizations to deploy self-hosted AI models while ensuring data privacy and protection against vulnerabilities like prompt injections. The platform integrates essential AI tooling within a customer's infrastructure, allowing for validated outputs and compliance with regulations such as HIPAA.

```xml <problem> Organizations face challenges in deploying GenAI models securely, particularly regarding data privacy, prompt injection attacks, and compliance with regulations like HIPAA. Integrating essential AI tooling while maintaining data control within their own infrastructure adds complexity. </problem> <solution> Prediction Guard offers a secure GenAI platform that enables organizations to deploy self-hosted AI models while ensuring data privacy and protection against vulnerabilities. The platform integrates essential AI tooling within a customer's infrastructure, allowing for validated outputs and compliance with regulations. It provides private, safeguarded AI functionality through self-hosted models, security checks, essential integrations, and privacy filters with output validations. Deployment options include managed cloud, self-hosted, and single-tenant solutions. </solution> <features> - Self-hosted models, including Llama 3.1, Mistral, and Neural Chat, running privately in the customer's infrastructure. - Security checks to protect against prompt injections and model supply chain vulnerabilities. - Integrations with AI tooling like LangChain and LlamaIndex, while keeping data inside the network. - Privacy filters and output validations to prevent hallucinations, toxic outputs, and leaks of PII. - Managed cloud deployment option, fully hosted and managed by Prediction Guard, stateless and HIPAA compliant. - Self-hosted deployment option within the customer's infrastructure, pre-optimized for price-performance at enterprise scale. - Single-tenant deployment option, dedicated for a single customer and managed by Prediction Guard. </features> <target_audience> The primary target audience includes organizations that require secure and private GenAI deployments, particularly those in regulated industries like healthcare that must comply with HIPAA. </target_audience> ```

What does Prediction Guard do?

Where is Prediction Guard located?

Prediction Guard is based in Lafayette, United States.

When was Prediction Guard founded?

Prediction Guard was founded in 2022.

Location

Lafayette, United States

Founded

2022

Employees

10 employees

Find Investable Startups and Competitors

Search thousands of startups using natural language

AI voice (2021+)underground pipe robots energy flexibility software

Start Searching

Prediction Guard

⚠️ AI-generated overview based on web search data – may contain errors, please verify information yourself! You can claim this account with your email domain to make edits.

Executive Summary

predictionguard.com 700+

Founded 2022 – Lafayette, United States

Funding

No funding information available.

Team (10+)

No team information available.

Company Description

Problem

Organizations face challenges in deploying GenAI models securely, particularly regarding data privacy, prompt injection attacks, and compliance with regulations like HIPAA. Integrating essential AI tooling while maintaining data control within their own infrastructure adds complexity.

Solution

Prediction Guard offers a secure GenAI platform that enables organizations to deploy self-hosted AI models while ensuring data privacy and protection against vulnerabilities. The platform integrates essential AI tooling within a customer's infrastructure, allowing for validated outputs and compliance with regulations. It provides private, safeguarded AI functionality through self-hosted models, security checks, essential integrations, and privacy filters with output validations. Deployment options include managed cloud, self-hosted, and single-tenant solutions.

Features

Self-hosted models, including Llama 3.1, Mistral, and Neural Chat, running privately in the customer's infrastructure.

Security checks to protect against prompt injections and model supply chain vulnerabilities.

Integrations with AI tooling like LangChain and LlamaIndex, while keeping data inside the network.

Privacy filters and output validations to prevent hallucinations, toxic outputs, and leaks of PII.

Managed cloud deployment option, fully hosted and managed by Prediction Guard, stateless and HIPAA compliant.

Self-hosted deployment option within the customer's infrastructure, pre-optimized for price-performance at enterprise scale.

Single-tenant deployment option, dedicated for a single customer and managed by Prediction Guard.

Target Audience

The primary target audience includes organizations that require secure and private GenAI deployments, particularly those in regulated industries like healthcare that must comply with HIPAA.