About Arktos Technology

Arktos Technology is a software company that provides easy to use AI solutions for businesses and individuals. Arktos Technology is based in New Haven, Connecticut and was founded in 2023.

For small to mid size businesses with sensitive data, Arktos provides a private LLM & Vector store, with referenced Search, Chat and API.

Arktos is AI software designed for use with your private data. Arktos can be installed on a local machine such as desktop computer running Windows or MacOS and does not require an internet connection. Once the program is installed, you point it to your data, whether PDFs, Word Docs, Excel or Database files. The system ingests your data and create a LVS (Local Vector Store), which represents your data in a way that the AI can quickly query it. The LVS interacts with a LLM (Large Language Model) which is part of the Arktos system. Arktos uses the latest in open source LLMs and is fully upgradeable.

On Premise GPT

Having an on-premises large language model for your business and private data can be advantageous:

Data Privacy and Security:
The most compelling reason for hosting a large language model on-premises is to ensure data privacy and security. Companies dealing with sensitive information, such as financial records, personal data, intellectual property, or healthcare information, may not want to expose this data to external networks or cloud services due to the risk of breaches, leaks, or regulatory compliance issues.

Regulatory Compliance: Certain industries are subject to strict regulatory requirements regarding data handling and processing (e.g., GDPR in Europe, HIPAA in the healthcare sector in the United States). On-premises deployment can make it easier to comply with these regulations by keeping data within a controlled environment.

Customization and Control:
On-premises models work with your organizational needs and workflows. Companies can tailor the model architecture, training datasets, and integration points to their specific requirements, providing a level of control that might not be as feasible with cloud-based solutions. Performance and Latency: Hosting the model on-premises can reduce latency in data processing, as the data doesn't need to be sent over the internet to a cloud service and back. This can be crucial for applications requiring real-time or near-real-time processing.

Cost Considerations:
Avoid ongoing cloud service fees, data transfer costs payment for Data Volume and Bandwidth. Companies dealing with data find on-premises solutions more practical, as transferring large datasets to and from the cloud can be insecure and time consuming.

Internet Dependency:
Relying on cloud-based services means being dependent on internet connectivity. An on-premises solution can operate independently of internet access, ensuring that critical functions can continue without interruption even in the event of connectivity issues.

Intellectual Property Protection: Developing proprietary models or algorithms based on a company's unique data can be a significant competitive advantage. Hosting these models on-premises can help protect this intellectual property from potential exposure or theft. In summary, companies might opt for an on-premises large language model to ensure data security, comply with regulations, achieve high customization and control, reduce latency, manage costs effectively, handle large data volumes efficiently, reduce dependency on internet connectivity, and protect intellectual property.

Investing

Arktos Technology is not currently seeking funding. If you like what we're doing and you're interested in learning more, reach out today.