Which Enterprise GPT is the best for my company?
With the increasing maturity of Enterprise GPTs, a growing number of tools from different providers are appearing on the market. Each has its strengths and weaknesses, making them more or less suitable for specific use cases, and the choice is not always straightforward. In this article, we compare some of the leading European GPT software solutions and highlight their optimal use cases.
This overview is not exhaustive. The article was last updated in October 2024 and includes insights from our own research, based on publicly available information such as company websites and LinkedIn insights. We welcome additional knowledge, feedback, or any comments at info@ontec.ai and will gladly expand the article with new insights!
Which GPT to use in a company? Key criteria
As the number of AI tools that simplify data querying increases, the question quickly arises: Which one is best for me and my company? As usual, there is no one-size-fits-all answer. However, here are some preliminary considerations that can help with the decision:
1. What data should be queried?
Not every tool can handle every type of data and data pool. It’s important to consider not only the file type (docx, pdf, xlsx, etc.) but also whether APIs are available for relevant platforms.
2. In what context/company/industry should the tool be used?
Different providers focus on meeting the needs of specific companies and industries.
For instance, tools are increasingly tailored to the needs of distinct areas like insurance, marketing teams, or large corporations.
3. How critical is the output quality of the results?
If the tool is required to perform many standardized and simple queries, simpler GPTs can be of great help.
However, if the data is sensitive—such as personal or business-critical data—a more advanced tool is recommended. This is why RAG (Retrieval-Augmented Generation) solutions are currently preferred in such cases.
4. Which IT system should the tool be integrated into?
Not every AI tool can be used in every IT system without limitations. A prime example is Copilot, which can be quickly implemented and used within the Microsoft ecosystem, but might face challenges when integrating with third-party platforms.
The technical requirements for AI systems are diverse, including:
- Data protection policies
- Data security
- Integration into existing IT systems
- Requirements for the answer quality of the AI system
- Compliance involvement
- External frameworks (e.g., EU AU Act)
- AI model requirements
The best Enterprise GPTs compared
Let’s now take a closer look at some of the solutions and providers that are particularly promising in the European market:
- ONTEC AI
- MyGPT
- CompanyGPT
- Copilot
ONTEC AI
Provider: ONTEC AG; founded in 2001 as a custom IT solution provider for business-critical processes with complex infrastructures; approximately 120 employees.
Strengths:
- Focus on search result precision and precise querying of complex and sensitive data (through RAG combined with data engineering services)
- Customizable AI agents, for example for automated email handling or other manual processes
- Customization to fit company usage structures
- Customizable LLM integration (e.g., OpenAI, Aleph Alpha, Open Source like Llama, etc.)
Limitations:
- Higher initial time investment due to higher degree of customization
- Customization requires careful consideration from the customer team
Primarily suitable for:
- Banks and financial services
- Insurances
- Manufacturing and production
- Media
Cost:
€€€
Security & Privacy:
- Strong focus on and background in security, privacy, and sovereignty, .e.g.:
- Fully GDPR-compliant
- Custom hosting (secure cloud or on-premise)
- Authentication and anonymization
ONTEC AI is especially suited for larger companies with complex and sensitive documents where precise and secure data output is crucial.
MyGPT
Provider: LeftshiftOne; founded in 2017, including by keynote speaker Patrick Ratheiser; approximately 18 employees.
Strengths:
- Automation of customer processes (emails, tickets, etc.)
- Availability of various LLMs (Mistral, OpenAI, HuggingFace, etc.)
- Relatively quick setup (off-the-shelf capability)
- Basic customization to fit the company
Limitations:
- Suitable for relatively simple data structures without special formatting (tables, strikethrough, etc.) and limited domain-specific language
- Considerable manual prompting needed (Prompt Library available as support, as well as a “MyGPT Driver License” prompting course on request)
Primarily suitable for:
- Small businesses and startups
- Universities and further education
- Energy and infrastructure
Cost:
€€
Security & Privacy:
- GDPR-compliant
- Cloud hosting or on-premise
MyGPT is a good choice for companies with moderately complex data structures that want to simplify their customer processes like email and ticket responses.
CompanyGPT
Provider: 506; founded in 2020 as an agency focused on marketing data science; approximately 25 employees.
Strengths:
- No-commitment use thanks to the SaaS model and self-service setup
- Relatively cost-effective
- Includes marketing tracking and campaign reports
Limitations:
- Simple data structures without special formatting and limited domain-specific language
- Limited suitability for sensitive data (user management not yet available)
Primarily suitable for:
- Marketing
- Human resources
- Media
Cost:
€ (Free plan available)
Security & Privacy:
- GDPR-compliant
- Hosting in 506 AWS tenant
CompanyGPT is positioning itself as the go-to solution for teams in marketing and HR, providing a practical tool for daily use with some manual effort.
Copilot
Copilot is not a GPT per se, but is often used as a point of comparison in this category, so it should also be included in our overview.
Provider: Microsoft; Copilot as part of the Microsoft 365 product line, launched in March 2023.
Strengths:
- Optimally integrated into the Microsoft ecosystem and quickly activatable
- Particularly suited for workflows between MS Teams, Office, and SharePoint Online
Limitations:
- Integration outside the Microsoft ecosystem is limited
- Complex queries across multiple systems
Primarily suitable for:
- Those who use Microsoft Office
Cost:
Complex/dynamic depending on Microsoft setup, number of users, and usage
Security & Privacy:
- GDPR-compliant
- Hosting in the customer’s Azure tenant
Microsoft Copilot is especially suitable for users who frequently work within the Microsoft ecosystem and wish to automate workflows between emails, Teams, and MS Office.
Summary and key takeaways
While the available Enterprise GPT tools are diverse, there is a solution for every use case.
From cost-effective self-service alternatives to highly customized providers for complex data structures, the providers cover a wide range of needs.
In this article, we analyzed four GPT solutions and categorized them as follows:
- ONTEC AI is particularly suited for larger companies with complex and sensitive data
- MyGPT is ideal for customer-centric workflows like ticket and email responses
- CompanyGPT is great for marketing and HR teams
- Copilot is perfect for simple workflows within the Microsoft ecosystem