A bit of history

AGIS began life in 2019 as an AI company, first competing at the Loebner Prize in Wales. Since then, AGIS has established a bedrock of automation, servicing major industries with cutting edge AI.

With verticals that currently include health care, government, enterprise level B2B and B2C, and even gaming, we have taken our expertise and intentionally utilized it to solve real-world problems in technologically advanced ways. Part of that discussion is ensuring that our approach is a good fit for the problem. “To a person with a hammer, the world is a nail” — It is important to apply technology in areas that make sense. We work closely with our partners and business associates to ensure the best proper fit for technology.

To best understand our current approach:

AGIS Platform: Your Gateway to Custom VR Experiences

Revolutionize Content Creation with AGIS Platform

AGIS Platform is a powerful and versatile tool built in Unity, designed to enable users to rapidly create, share, and experience immersive 3D and VR environments. Whether you are a developer, gamer, artist, or educator, AGIS Platform offers an unmatched suite of features that streamline the creation process and open new avenues for creativity and interaction.

Key Features:

AI-Enhanced Manufacturing

In the landscape of modern manufacturing, the integration of Artificial Intelligence (AI) technologies presents a significant opportunity to enhance operational efficiency, reduce costs, and improve accuracy across various processes.

Implementation of AI Technologies

Generative AI for Label Making and Document Generation:

Application: Generative AI algorithms are employed to automatically design and print labels and routing documents based on the specifications of incoming and outgoing shipments. This reduces human error and standardizes the labels and documents across the board.
Benefit: Streamlines the labeling process, ensuring compliance with international shipping standards and reducing manual labor.

AGIS AI RAG (Retrieval Augmented Generation)

AGIS Retrieval Augmented Generation

What is Rag?

RAG for LLMs combines real-time information retrieval with text generation, enhancing responses with up-to-date, specific data. The orchestration layer is crucial as it efficiently manages the interaction between retrieval and generation processes, ensuring relevant information is seamlessly integrated into the generated output, thus improving accuracy and relevancy.

LLM’s and Subjective Experiences

Large language models have revolutionized Artificial Intelligence with their ability to create intelligent responses to inquiries given a prompt and a set of data to pull from.

While there are many ways to make your data available to an AI – some, such as fine tuning, are time consuming, expensive, and inflexible. Other methods such as simply clever prompt creation are inaccurate and often incomplete.

When working with real customers, you often find that to provide a user answer, you must reach across multiple documents.

Lets look at some potential customer inquiries and the sources of those responses:

AGIS in Gaming

AGIS inside! Automatically generate NPC characters, each with their own unique backstory, characteristics, and quirks. These backstories drive user interactions in creative and, sometimes, hilarious ways. Want each NPC to have a unique voice, our system ties into a variety of voice generators best suited to your needs.

Define unique animation for interactivity based on your game style. As seen above, the customizations are endless.

ETL: Why it’s needed and how AGIS does it

ETL stands for Extract, Transform, Load and it is a process used in data warehousing to extract data from various sources, transform it into a format suitable for loading into a data warehouse, and then load it into the warehouse. The process of ETL can be broken down into the following three stages:

CSR System Diagram

CSR Systems can be complicated and expensive. AGIS has a fully automated, voice enhanced, next-gen system that can be a force multiplier for your Customer Support Representatives – answering both general domain questions as well as specific, atomic level queries that rival, if not surpass, those of dedicate CSR staff – at a fraction of the cost.

While your CSR implementation may require modifications for your particular needs, a general approach within the AGIS system will include the following flow:

Regression Testing

Regression Testing is a type of testing in the software development cycle that runs after every change to ensure that the change introduces no unintended breaks. Regression testing addresses a common issue that developers face — the emergence of old bugs with the introduction of new changes.

If a project does not implement strict version control systems, it will be difficult to trace which change introduced a bug. Therefore, it is a good practice to incorporate robust regression testing in any project.

Typically, it involves writing a test for a known bug and re-running this test after every change to the code base. This aims to immediately identify any change that reintroduces a bug.

Revolutionize Content Creation with AGIS Platform

What is Rag?

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