Zero Data Retention, LLM API Service, 100% Green Energy

Run AI Apps with Privacy that 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.

100% Renewable Energy

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

OpenAI Compatible

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

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

regolo.ai

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())

const response = await fetch(
    "https://api.regolo.ai/v1/chat/completions",
    {
        method: "POST",
        headers: {
            "Content-Type": "application/json",
            "Authorization": "Bearer YOUR_REGOLO_KEY"
        },
        body: JSON.stringify({
            model: "mistral-small-4-119b",
            messages: [{
                role: "user",
                content: "If a train travels 60 km/h..."
            }],
            reasoning_effort: "high"
        })
    }
);

const data = await response.json();
console.log(data);

curl https://api.regolo.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_REGOLO_KEY" \
  -d '{
    "model": "mistral-small-4-119b",
    "messages": [{
      "role": "user",
      "content": "If a train travels 60 km/h..."
    }],
    "reasoning_effort": "high"
  }'

Get instant access to our Core Models

Ready to use, no cold boots, low latency and free for 30 days.
Explore our growing library of production-ready models.

Browse Full Model Library

MiniMax 2.5

MiniMax-M2.5-GGUF is a GGUF-optimized 230B (10B active) MoE frontier model with a ~200k context window, tuned for elite coding and agentic workflows while remaining affordable to run locally.

Chat Reasoning Tools

View model

Qwen3.5-122b

Qwen3.5-122B-A10B is a powerful open-weight Mixture-of-Experts (MoE) model from Alibaba's Qwen team, featuring 122 billion total parameters with only 10 billion active per token for efficient performance.

Chat Reasoning Tools Video Understanding Vision

View model

Mistral Small 4 119b

Mistral-Small-4-119B-2603 is a 119B-parameter multimodal MoE model with only 6.5B active parameters per token, delivering top-tier reasoning, coding, and vision performance with a 256k-token context window.

Chat Reasoning Vision

View model

GPT OSS 120B

gpt-oss-120b is OpenAI’s flagship open-weight Mixture-of-Experts language model with about 117B parameters and 5.1B active per token, optimized for high‑reasoning, agentic production workloads on a single 80GB GPU and released…

Chat Reasoning Tools

View model

faster-whisper-large-v3

faster‑whisper‑large‑v3 is a CTranslate2‑optimized conversion of OpenAI’s Whisper large‑v3 that delivers high‑accuracy multilingual speech‑to‑text with significantly lower latency and VRAM usage for real‑time and batch transcription.

STT Audio

View model

Apertus-70B-2509

Apertus‑70B‑2509 is a 70B-parameter, fully open multilingual transformer from the Swiss AI Initiative, trained on 15T compliant tokens and supporting 1,800+ languages with competitive open‑weight benchmark performance.

Chat

View model

Llama 3.3 70B Instruct

Llama 3.3 70B Instruct is Meta’s multilingual, instruction-tuned 70B text model for chat, coding, reasoning, and tool-enabled assistants. It supports 128K context, eight officially supported languages, and commercial use under…

Chat Tools

View model

Qwen3-Embedding-8B

The model can be used with sentence-transformers or Hugging Face Transformers, with both integration paths documented on the official model card.

Embedding

View model

Qwen3-Reranker-4B

Qwen3-Reranker-4B is a 4B text reranking model built to improve retrieval precision in multilingual and code search workflows. It supports 32K context, 100+ languages, and instruction-aware ranking, making it well…

Rerank

View model

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

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.

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.

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.

Tutorial & How‑to

April 25, 2026

6 min read

Using Regolo models with OpenCode

OpenCode is an open-source, terminal-native AI coding agent that supports 75+ LLM providers through an extensible configuration system. Because Regolo exposes a fully OpenAI-compatible…

Alex Genovese

Read article

Benchmarks & Cost Optimization

April 24, 2026

6 min read

Gemma 4 31B vs Qwen3.6 35B-A3B: When to use which

A benchmark-grounded guide for teams choosing between two of the strongest open models of 2026. What these two models actually are Gemma 4 31B is…

Alex Genovese

Read article

Benchmarks & Cost Optimization

April 23, 2026

6 min read

Inference efficiency and GPU cost optimization in 2026: how to cut LLM serving waste

Inference efficiency in 2026 is about lowering cost per million tokens by improving utilization, reducing repeated work, and matching infrastructure to traffic shape. The…

Alex Genovese

Read article

View All Posts

Get Started in Minutes

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

No credit card required

GDPR Compliant

100% Green

Start your 30-day free Explore the Docs

Have questions or need a custom plan? Join our community on Discord or contact us.

Run AI Apps with Privacy that deserve

Performance and Scale,Without Complexity

Zero Data Retention

100% Renewable Energy

OpenAI Compatible

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

Get instant access to our Core Models

Built for Every Use Case

RAG and Knowledge Bases

Conversational AI

Document Processing

Content Generation

Audio Transcription

Code Assistance

Your Models, Your Rules, Our Infrastructure

Paste Your Model

Pick Your Hardware

Deploy & Scale

Latest from Regolo Labs

Everything You Need toShip AI with Confidence

Performance and Scale,
Without Complexity

Your Models, Your Rules,
Our Infrastructure

Everything You Need to
Ship AI with Confidence