vijil

About vijil

Vijil provides AI developers with red-team and blue-team cloud services to enhance the reliability, security, and safety of autonomous agents during both development and operation. The platform addresses the lack of trust in large language models by continuously evaluating their performance under various conditions to mitigate vulnerabilities and ensure consistent behavior in production environments.

```xml <problem> Enterprises are hesitant to deploy generative AI agents due to concerns about their reliability, security, and safety in real-world scenarios. Large language models (LLMs) are prone to errors, vulnerable to attacks, and can exhibit inconsistent behavior, leading to potential damage to user experience and enterprise reputation. </problem> <solution> Vijil offers AI developers red-team and blue-team cloud services designed to enhance the reliability, security, and safety of autonomous agents throughout their lifecycle. The platform hardens models during fine-tuning, observes and defends agents and Retrieval-Augmented Generation (RAG) applications during operation, and continuously evaluates generative AI system reliability, security, and safety. By providing tools to measure, improve, and maintain trust in agents based on open, safe, and secure models, Vijil shortens the time-to-trust for enterprises deploying AI. </solution> <features> - Red-team services to identify vulnerabilities and attack vectors in LLMs. - Blue-team services to detect attacks and limit the blast radius of models in production. - Continuous evaluation of AI agents under benign and hostile conditions. - Tools to measure reliability, security, and safety with rigorous standards. - Hardening of LLMs during development to reduce vulnerability to attacks and mitigate technical risks. </features> <target_audience> Vijil's primary customers are AI engineers and enterprises building and operating chatbots, virtual assistants, co-pilots, and autopilots who require trustworthy AI agents in production. </target_audience> ```

What does vijil do?

Vijil provides AI developers with red-team and blue-team cloud services to enhance the reliability, security, and safety of autonomous agents during both development and operation. The platform addresses the lack of trust in large language models by continuously evaluating their performance under various conditions to mitigate vulnerabilities and ensure consistent behavior in production environments.

Where is vijil located?

vijil is based in Menlo Park, United States.

When was vijil founded?

vijil was founded in 2023.

How much funding has vijil raised?

vijil has raised 6000000.

Who founded vijil?

vijil was founded by Vin Sharma.

  • Vin Sharma - CEO
Location
Menlo Park, United States
Founded
2023
Funding
6000000
Employees
19 employees
Major Investors
Mayfield Fund, Gradient
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vijil

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Vijil provides AI developers with red-team and blue-team cloud services to enhance the reliability, security, and safety of autonomous agents during both development and operation. The platform addresses the lack of trust in large language models by continuously evaluating their performance under various conditions to mitigate vulnerabilities and ensure consistent behavior in production environments.

vijil.ai700+
cb
Crunchbase
Founded 2023Menlo Park, United States

Funding

$

Estimated Funding

$6M+

Major Investors

Mayfield Fund, Gradient

Team (15+)

Ryan Nabors

GTM

Vin Sharma

CEO

Company Description

Problem

Enterprises are hesitant to deploy generative AI agents due to concerns about their reliability, security, and safety in real-world scenarios. Large language models (LLMs) are prone to errors, vulnerable to attacks, and can exhibit inconsistent behavior, leading to potential damage to user experience and enterprise reputation.

Solution

Vijil offers AI developers red-team and blue-team cloud services designed to enhance the reliability, security, and safety of autonomous agents throughout their lifecycle. The platform hardens models during fine-tuning, observes and defends agents and Retrieval-Augmented Generation (RAG) applications during operation, and continuously evaluates generative AI system reliability, security, and safety. By providing tools to measure, improve, and maintain trust in agents based on open, safe, and secure models, Vijil shortens the time-to-trust for enterprises deploying AI.

Features

Red-team services to identify vulnerabilities and attack vectors in LLMs.

Blue-team services to detect attacks and limit the blast radius of models in production.

Continuous evaluation of AI agents under benign and hostile conditions.

Tools to measure reliability, security, and safety with rigorous standards.

Hardening of LLMs during development to reduce vulnerability to attacks and mitigate technical risks.

Target Audience

Vijil's primary customers are AI engineers and enterprises building and operating chatbots, virtual assistants, co-pilots, and autopilots who require trustworthy AI agents in production.

vijil - Funding: $6M+ | StartupSeeker