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Recognized by Yahoo Finance: Easy Redmine runs the first AI on-premises

10/17/2024
2 minutes

For organizations handling sensitive data, choosing between cloud and on-premises solutions is critical. We believe companies shouldn't have to compromise between flexibility and full control over their data and intellectual property. That's why the launch of the first on-premises AI in project management is a major milestone, gaining global attention.

Table of contents

Why is on-premises still in the game despite the trending cloud
The benefits of PM software deployed on-premises
The first AI on-prem integrated into project management tool
The challenging path to AI on-premises
Revolutionizing project management efficiency

Why is on-premises still in the game despite the trending cloud

There’s no doubt that cloud solutions are on the rise. So, why does Easy still believe in on-premises solutions? It may seem like hosting Easy Redmine on your own server goes against the trend, but we have compelling reasons for sticking with on-premises deployment.

Many organizations, especially in industries like healthcare, government, and finance, prioritize security and data control. For those handling sensitive information, on-premises software provides direct oversight, minimizing the risk of breaches associated with third-party cloud providers. This level of control is essential for meeting strict regulatory compliance requirements.

The benefits of PM software deployed on-premises

Despite the rise of cloud solutions, on-premises infrastructure remains relevant for key reasons: greater control, stricter compliance, open source transparency, and more effective cost management.

Let's break them down:

1. Enhanced control

On-premises deployment gives organisations complete control over their data and infrastructure, allowing them to easily customise their setup to meet specific security protocols and operational requirements.

2. Data sovereignty and compliance

Keeping data within your own infrastructure ensures compliance with local regulations and internal data governance policies, which is crucial for organisations with stringent data protection requirements.

3. Open source transparency

Self-hosted solutions, especially those with open-source code like Easy Redmine, allow for in-depth customisation and provide complete transparency in how data and processes are handled. This gives IT teams the ability to modify, enhance, or integrate the system as needed.

4. Cost management

On-premises software can help avoid vendor lock-in, allowing for long-term flexibility and control over IT investments. This can potentially reduce the total cost of ownership, especially for organisations with budget constraints that need to do more with less.

The first AI on-prem integrated into project management tool

As Easy Redmine is the only project and work management suite that offers AI for on-premises deployment, we are ready to recommend the hardware to buy or buy it on your behalf. To run the Easy AI on your own premises, in the most secure environment, this is non-negotiable.

Filip Morávek

CEO / Owner
Easy Software
A large number of our clients are eager to innovate and automate their processes using generative AI. Yet many hesitate due to concerns about losing control over their data. As a result, they stay with private servers, where they cannot access the latest tools that are often available exclusively in the cloud. We aim to help these companies innovate, regardless of whether they trust the cloud or rely on on-premises solutions.

As we are in the mindset of driving innovation while being aware of numerous security breaches, the first AI on-premises in the field of project management software has been recognized by Yahoo Finance and portal Benzinga.

The challenging path to AI on-premises

By creating Easy AI we have stepped up to address this challenge by delivering an on-premises AI that ensures high performance while maintaining complete data security—all within your own servers.

There was a long and difficult journey to design the infrastructure, and tune the LLM model and prompts to make it work. But we conquered the primacy of being the first on-market AI on-premises!

Jan Řeřicha

Head of PMO
Easy Software
One of the biggest hurdles has been ensuring that AI solutions align with the stringent security requirements of on-premises environments, particularly when it comes to the selection of suitable hardware that meets performance demands at a reasonable price. Further challenges include choosing the appropriate LLM, considering licensing and configuration, ensuring secure data storage using a vector database, and carefully engineering the right prompts. The development of embedding models, integration of these solutions into existing virtual environments, and delivery to clients have also been crucial challenges we faced.

The obstacles mentioned may have been reasons why other project management tools didn't develop AI for on-premises use. Many platforms, such as Asana, Wrike, Monday, and ClickUp, offer integrated AI, but they are only available with a cloud option.

Revolutionizing project management efficiency

The launch of the first on-premises AI for project management marks a significant milestone, allowing companies to maintain full control over their data while leveraging advanced technology. AI-driven project management solutions with an on-premises option by Easy Redmine is one of a kind at this moment, unique. 

The obstacles that our developers had to overcome were significant and required complex problem-solving from with numerous variables that were acknowledged by Yahoo Finance and recognized by Benzinga.

Still hesitating? Try our AI-powered project management software Easy Redmine for free in 30-day-long trial period!

Frequently asked questions

Does on-premises mean deployed on your own servers?
What is the difference between cloud AI and on-premises AI?

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