We believe AI can be smart, green, and always respect your privacy. GreenPT is a GPT-powered chat platform—and robust API—trusted by governments, B Corps, privacy-focused organizations, and developers. Running entirely on renewable energy and hosted in Europe for strict data protection, GreenPT gives you and your team the answers you need with a clear conscience, total transparency, and flexible programmatic access.
Sustainable and privacy friendly AI
EU Hosted Sustainable Privacy friendly Language Models Reasoning Models API Speech to Text Insight in Impact
Why GreenPT
AI usage is growing exponentially, but it often comes at the expense of our planet and privacy: heavy models consume enormous amounts of electricity, and many providers store data outside the EU. That’s why we developed GreenPT. A green and privacy-friendly alternative.
Sustainable hosting
Our infrastructure is hosted with sustainable providers across Europe, giving GreenPT a minimal environmental footprint.
Efficient model selection
By changing the behaviour of the models we reduce the computing power by 20–30% without quality loss.
Technical optimizations
We make AI models smaller and more energy-efficient by using compression techniques, quantized model versions.
Full Stack AI Platform
Our full‑stack AI platform unifies advanced reasoning, vision analysis, code generation, multilingual translation, document intelligence, and speech‑to‑text into a single, seamless solution, while its powerful API lets developers integrate all capabilities programmatically. It also provides real‑time CO₂ and energy‑usage insights, enabling sustainable optimization across any application.
AI Chat
Our AI chat platform combines advanced reasoning, image analysis, code generation, multilingual translation, document insight, and high‑accuracy speech‑to‑text to tackle complex tasks and turn visual, textual, and spoken data into actionable results.
API
Our advanced API gives developers programmatic access to all these capabilities—reasoning, vision analysis, code generation, multilingual translation, document processing, and speech‑to‑text—through a single, unified interface.
CO2 & Energy Insights
Our platform also provides real‑time CO₂ and energy‑usage insights, enabling you to monitor environmental impact and optimize consumption directly through the advanced API.
FAQ
What AI models does GreenPT use?
We use two self-hosted models: Mistral Small for our GreenL service and OpenAI’s GPT-OSS 120B for our GreenR service. Both models are open source and run on our sustainable infrastructure.
How does your model hosting work?
We host only models locally on our servers – we don’t use any external APIs or services. This means your data never leaves our infrastructure and is not shared with third parties. The models themselves don’t store any conversation data.
How does performance compare to proprietary models?
Our models are carefully selected and fine-tuned to deliver performance comparable to proprietary alternatives while being more environmentally conscious and cost-effective.
Where is our data hosted?
Our infrastructure is hosted by Scaleway in France, ensuring compliance with European data and privacy regulations. Their data centers are fully certified with ISO 27001 and powered by 100% renewable energy, maintained through regular audits.
How do you protect user data?
We implement strict data protection measures and fully comply with GDPR requirements. All data is processed within the EU, and we maintain transparent data handling practices. Our self-hosted model approach means your data never leaves our secure infrastructure.
How is GreenPT environmentally friendly?
Our infrastructure runs entirely on renewable energy, and we use heat recovery systems to reuse server heat for community heating. While the initial training of the models wasn’t performed on green servers, our hosting and inference operations are 100% sustainable.
What is the environmental impact of AI training?
We acknowledge that the initial training of AI models, including those we use, wasn’t performed on green infrastructure. However, we’re working with the open-source community to develop more sustainable training practices for future models.
How does your infrastructure reduce environmental impact?
Our servers are strategically placed in urban buildings where we can reuse the heat generated by computations. This dual-use approach significantly reduces our carbon footprint compared to traditional data centers.
