Open Source & Open Weight AI
IntraGPT runs on open-source models. No black boxes. Full control.
Why open source AI?
Closed-source models carry fundamental risks for enterprise use.
Advantages of open models
Full transparency
You know how the model was trained and how it works.
Data stays local
Models run locally. No external API calls.
No vendor lock-in
Switch models without migration.
Cost control
No per-token pricing. Predictable infrastructure costs.
Compliance ready
Full DPIA possible with open models.
Community driven
Benefit from global open-source innovation.
Models we run
Kimi K2 (Moonshot)
Kimi K2 by Moonshot. Top open-weight reasoning model with huge context window, strong in complex analysis and agentic tasks.
GPT-OSS (OpenAI)
OpenAI's open-weight release. Strong reasoning performance, fully self-hostable without depending on OpenAI's cloud.
DeepSeek R1
DeepSeek R1. Leading in reasoning and math tasks. Open weights with powerful results.
Qwen 3 (Alibaba)
Qwen 3 by Alibaba. Powerful multilingual model. Excellent for code and data analysis.
Llama 3 (Meta)
Llama 3 by Meta. State-of-the-art open-weight model for general enterprise tasks.
Mistral (EU)
European alternative. Strong in multilingual tasks and reasoning.
AI in Europe: AI Act & GDPR in practice
Why organisations deploying AI in Europe choose local, open-weight AI like IntraGPT to truly comply with the AI Act and GDPR.
- AI Act risk classification and what it means for your use cases
- GDPR & data processing: why Big Tech APIs are legally problematic
- Practical checklist for compliant AI implementation
- Why local hosting + open-weight is the only sustainable route