KLM: Karman Learning Matrix AI Platform by EzTechTonic

About KLM

Our AI doesn‘t rely only on ChatGPT

KLM learns on its own by referring to ChatGPT for answers it does not know. Saves these answers and retrieves them as needed without re-referencing the GPT.

We choose not to use GPT

To ensure full financial and legal independence, protecting our products and customers from potential issues such as sanctions or policy changes associated with GPT.

Wide range of activities

Our model can answer questions, perform data actions, offer driving style-based recommendations, communicate with drivers, sign the logbook, and execute direct actions.

Personalized custom solutions

KLM offers personalized machine learning solutions and integration into clients‘ products, providing tailored recommendations and flexibility.

Standards compliance

We prioritize quality control measures at every stage of development and implementation, guaranteeing reliability, safety, and compliance with relevant regulations.

Highest accuracy

Using advanced algorithms, we provide highly accurate answers and unparalleled process automation, allowing you to make better-informed decisions.

Architecture

What problems does KLM solve

Problems

Solutions

Many systems use ChatGPT, which has a number of disadvantages, such as reliance on centralized AI

Transitioning to leading artificial intelligence services

Due to strict regulations and high costs, we have discontinued the use of Amazon AWS. Currently, we have transitioned to innovative AI services RunPod and Pinecone, which are leaders in the field of machine learning and perfectly suited for processing our data arrays.

Most of the well-known AIs only know how to answer users' questions

Next-level automation with KLM system

The KLM system can work with data and the user. KLM is able to process large data sets, make decisions on its own, and perform customizable and intelligent actions, taking process automation to the next level.

Many AIs are limited to their knowledge base only and lack the ability to integrate with other AIs

KLM can self-learn its base from other AIs

If there is insufficient information in its own knowledge base, KLM can turn to GPT or other AI to replenish its own knowledge base without re-referring to them and using only the internal knowledge resource going forward.