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Build your AI apps with the privacy they deserve

Zero Data Retention in EU Data Center,
powered by 100% green carbon-free energy.

Performance and Scale,Without Complexity

Designed to help AI teams deploy faster, with privacy and effortlessly. Use our Core Models, ready to use via API, or deploy your custom model to be served by our fast European data centers.

Zero Data Retention

Zero Data Retention with full European Data Residency. Your data is never stored or reused, ensuring compliance with GDPR and beyond.

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100% Renewable Energy

Green datacenters powered by 100% renewable energy sources. AI innovation that respects the planet.

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OpenAI Compatible

OpenAI compatible with zero effort required for integration. Swap your endpoint and keep using the tools you already know.

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OpenAI Compatible

Powerful Core Models that fit your stack, not the other way around

Regolo.ai is built on the OpenAI API standard, the most widely adopted interface in the AI ecosystem. A single, familiar contract to manage text generation, embeddings, vision, and more, covering everything from prototyping to production.

Starting a new project? Use our documentation to get going in minutes. Already have an existing integration? Simply swap your base URL and API key, with no code rewrites and no new patterns to learn. Regolo works as a seamless drop-in replacement.

Leverage the tools and frameworks you already know and trust, including LangChain, LlamaIndex, the official OpenAI SDK, and many more, all without any friction. One standard, every model, zero lock-in.

Start for Free 30 days 
import requests

api_url = "https://api.regolo.ai/v1/chat/completions"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer YOUR_REGOLO_KEY"
}
data = {
    "model": "mistral-small-4-119b",
    "messages": [
        {
            "role": "user",
            "content": "If a train travels 60 km/h for 2 hours and then 80 km/h for 1.5 hours, what is the total distance covered?"
        }
    ],
    "reasoning_effort": "high"
}

response = requests.post(api_url, headers=headers, json=data)
print(response.json())

Built for Every Use Case

From smart chatbots to automated document pipelines, explore the most popular ways teams put our models to work in production.

RAG and Knowledge Bases

Build Retrieval Augmented Generation systems that search across your private documents and deliver accurate, grounded answers. Combine embeddings, reranking, and chat models from a single provider.

Conversational AI

Create intelligent chatbots and virtual assistants that handle customer support, sales inquiries, and internal knowledge retrieval with natural, context-aware conversations.

Document Processing

Automate the extraction of structured data from invoices, contracts, and forms using OCR and vision models. Reduce manual data entry and accelerate business workflows.

Content Generation

Generate marketing copy, product descriptions, social media posts, and creative visuals at scale. Use text and image models together to produce complete campaigns.

Audio Transcription

Convert meetings, podcasts, and customer calls into searchable text. Build transcription pipelines that feed directly into summarization and analysis models.

Code Assistance

Power code completion, code review, and debugging tools with models specialized in programming tasks. Accelerate developer productivity and reduce time to production.

Custom Models

Your Models, Your Rules, Our Infrastructure

Want more customization or need to host a specific model? Bring any model from Hugging Face, pick the GPU configuration that fits, and deploy on dedicated hardware in our European data centers. We download it, load the weights, and serve it. Ready to call in minutes.

Dedicated GPU Instances
OpenAI-Compatible Endpoints
Hourly Billing, No Lock-in
EU Data Residency & Privacy
1

Paste Your Model

Grab the Hugging Face URL of any supported model and add it to your Regolo library. We handle the download and setup on our infrastructure. No manual uploads, no friction.

2

Pick Your Hardware

Choose a GPU instance that matches your model's size and VRAM requirements. From lightweight inference to heavy-duty workloads, you have full control over the resources you need.

3

Deploy & Scale

Hit deploy and your model goes live on a dedicated endpoint. Scale GPU resources up or down as demand changes. Hourly billing, no long-term commitments, no surprises.

See custom model pricing

Have questions? Reach out on Discord or read the documentation.

Latest from Regolo Labs

Insights, experiments, and deep-dives into the world of artificial intelligence, straight from the team building it.

DeepSeek V4.1 Flash 1017 vs Meta Muse Spark 816B vs Reflection Beam 501B vs GLM-5.3 benchmark comparison on DeepSWE v1.1, SWE-bench Verified, and Artificial Analysis v4.3.2
Benchmarks & Cost Optimization
12 min read

Why a model scoring 43% on DeepSWE beats one scoring 60%: reading the DeepSeek 1017, Muse Spark 816B, and Beam 501B benchmarks

Why does Reflection Beam 501B score 43.3% on DeepSWE v1.1 yet 81.6% on SWE-bench Verified at 327 tok/s and $0.23/task? We compare DeepSeek V4.1 Flash 1017, Meta Muse Spark 816B, Beam 501B, and GLM-5.3 across official model cards and Artificial Analysis v4.3.2 to help you pick the right model for your workflow.

Alex Genovese
Read article
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Everything You Need to
Ship AI with Confidence

From your first API call to production workloads at scale, Regolo gives you the models, the privacy, and the European infrastructure to build without compromise. No vendor lock-in, no hidden costs.

Free 30-day trial
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100% Green
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Have questions or need a custom plan? Join our community on Discord or contact us.