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.
SKTAccelerator
Hana BankAccelerator
NAVER D2SFAccelerator
KT λ―Ώμ SecurityClient
Google for StartupsAccelerator
SNU VMO LabLab Partner
Microsoft for StartupsAccelerator
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.
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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.
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.
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.
Data based on context and rules you enter
Data that reflects the characteristics of your users
Prompt injection data for the type of attack entered