Here you’ll find answers to the most common questions.
If you’d like to get to know us personally or your question isn’t covered in the FAQ, feel free to contact us directly or book a demo.
Company and Product
- Template library for common business processes
- Low-code IDE to customize or create your own use cases
- MultiLLM support for flexible AI model selection
- Process pipelines, monitoring, reporting, and access controls
DeepAdvisor supports a wide range of models like GPT-x (OpenAI), Gemini (Google), Claude (Anthropic), DeepSeek, Mistral and more. Thanks to the multiLLM architecture, you can choose the model that best fits your use case and budget.
Data security is ensured by hosting private instances on Microsoft Azure in full compliance with EU regulations. Your data is never used to train public AI models, maintaining strict confidentiality and integrity. Security is further enhanced through role-based access control, prompt monitoring, and secure knowledge graph integration, ensuring that only authorized users have access and sensitive information remains protected at all times.
DeepAdvisor is a cloud-based platform that uses multiple hyperscalers to ensure compliance requirements. Most applications run in the EU for full GDPR compliance, and you can specify where your applications are permitted to operate.
Becoming A Customer
Pricing is tailored to your needs. Contact the team for a custom offer based on your use case, number of users, and model usage.
Yes, DeepAdvisor offers a demo or test phase, including workshops or trial licenses for real use cases. Just contact us to get started.
Benefits of deepadvisor
- Multi-LLM platform
- Intuitive low-code environment- no coding or LLM expertise required
- Versatile solution for a wide range of use cases
- Delivers rapid business value beyond simple chat
- Robust security layer to protect your data
No, business users can work independently using the intuitive low-code interface and pre-built templates. No technical team is required.
Yes, you can integrate your own company data. Your data stays within your environment and is never used to train public models.
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