πŸŽ‰ AIM RED TEAM Won Top 5 At The 2024 GenAI Red Team Challenge! Β Learn More
Launch AIM Conversation Demo πŸš€

We Aim For
Manageable

AI Agent.

Our team of experts uses a methodology to build the AI Agents most likely to fit your intent. We examine retention & conversion & safety for client profit.

  • partner logo
    NAVER D2SFAccelerator
  • partner logo
    KT 믿음 SecurityClient
  • partner logo
    Google for StartupsAccelerator
  • partner logo
    SNU VMO LabLab Partner
  • partner logo
    ν™”μ„±μ‹œ ꡐ윑용 LLMClient
  • partner logo
    SelectstarPartner
  • partner logo
    ArmillaPartner
  • partner logo
    Microsoft for StartupsAccelerator
  • partner logo
    SNU Entrepreneurship CenterAccelerator

The biggest barrier to AI adoption is that it can't be easily and quickly

managed and repaired by anyone.

Why are LLM services difficult for anyone to manage?

What if adopting and managing AI was as easy as setting up your TV, flipping through the channels you want, and occasionally tweaking the sound and picture quality? But there are three key risks and obstacles.

Prompt Injection Attacking LM Services

With millions of possible attacks, prompt injection is the number one concern for developers of LM-based services and models.

Jailbreaking Image
  • logo
  • logo
  • logo
  • logo

<-click

No Evaluation, no Criteria, no Tools.

There are no criteria to say that someone has built a good LM service or model, and no tools to create them.

87/100

Lack of Controllability to quickly adapt to changing environments

In many situations, a universal LM is impractical. In most situations, the LM you want is one that you can customize to your liking.

ai
  • add
  • back
  • minus
  • check
  • delete
  • message
  • right
  • star
Curve 1
Curve 2

AIM

RED

Auto Test Data Generator

%

more powerful than PyRIT (M Corp.)

Create and order your RED recipe.

Apply and get the data you want.

Smartest AI
About RED
AIM-RED generates high-quality data that allows you to test how your chosen LLM reacts in different situations. It is compatible with a variety of contexts that users may enter, as well as complex prompt injections that hackers may intentionally enter.
Facts
  • check

    Data based on context and rules you enter

  • check

    Data that reflects the characteristics of your users

  • check

    Prompt injection data for the type of attack entered