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Commissioner Andrius Kubilius' visit to CloudFerro highlights the importance of European technologies for Europe's security and operational readiness
PUBLIC CLOUD · AI & MACHINE LEARNING
A fully managed, privacy-first Generative AI platform with OpenAI-compatible APIs — hosted 100% in Europe for total sovereignty.

Product Features
Fully managed, EU-sovereign Generative AI service. Compatible with OpenAI APIs, hosted on 100% European infrastructure, with zero data logging, GDPR-compliant processing, and full data residency within the EU.
Swap your base_url to https://api-sherlock.cloudferro.com/openai/v1 and insert your API key. Your existing OpenAI SDK code runs unchanged — no refactoring, no new libraries, no workflow disruption.
Process scanned documents, forms, and images alongside text in a single API call. Extract structured data, perform visual reasoning, and combine text and image understanding natively.
Supported models return structured JSON, call external tools, and compose multi-step agent workflows — enabling reliable, production-grade AI integrations beyond basic chat completions.
Access to multimodal LLMs and embedding models, all under one OpenAI-compatible API gateway.
Managed GenAI enables enterprises and public institutions to leverage generative AI safely and compliantly — no data leaves Europe.
Run AI workloads without legal risk. All processing stays within European borders — fully GDPR-compliant by design, with ISO 27001/9001 certification that simplifies procurement and audit cycles for enterprises and public institutions.
Your prompts and outputs are yours — full stop. Nothing is stored, nothing is used to train models, and your proprietary data never leaves the transaction. Deploy AI in healthcare, legal, and finance with complete confidence.
Know exactly what you're spending before the invoice arrives. Per-token pricing, real-time usage dashboards, budget caps, and spend alerts give both engineering and finance teams full control — no surprises, no minimum commitment.
Switch to EU-sovereign AI without touching your codebase. Change one line — the base URL — and your existing OpenAI SDK, LangChain, or LlamaIndex integration instantly runs on European infrastructure.
Typical Use Cases
INTEGRATIONS
OpenAI-compatible by design — integrate Sherlock with your existing SDKs, frameworks, and CloudFerro services without changing your architecture.
Drop-in compatible with openai Python and JavaScript SDKs. Change base_url to the Sherlock endpoint — all existing API calls work without code modification.
Works natively with LangChain and LlamaIndex via OpenAI-compatible provider — enabling RAG pipelines, agents, and chain workflows on EU-sovereign infrastructure.
Use Sherlock models directly from CloudFerro Jupyter Notebooks for prompt engineering, fine-tuning experiments, and LLM evaluation workflows.
Trigger Sherlock inference tasks as Airflow DAG steps — enabling automated, scheduled AI-powered data enrichment and processing pipelines.
Deploy AI-powered applications that call the Sherlock API onto CloudFerro Kubernetes clusters — fully sovereign from model inference to production serving.
Combine Sherlock embeddings and completions with CloudFerro Object Storage for RAG over large document corpora, EO datasets, and geospatial knowledge bases.
Scope description
A fully managed, privacy-first Generative AI platform with OpenAI-compatible APIs — hosted 100% in Europe for total sovereignty.
OpenAI-compatible REST API (chat, completions, embeddings)
WAW3-2 region — Poland (EU only)
Zero logs · zero storage · no model training on prompts
GDPR · ISO 27001 · ISO 9001
99.9% uptime guarantee
Pay-as-you-go · per 1M tokens · monthly invoicing
FAQ
Can't find your answer? Our support team is available 24/7.
Containers & Serverless
Deploy production-grade Kubernetes clusters through GUI, CLI or Terraform without managing the control plane yourself.
EO Products & Services
Start working in a managed JupyterLab environment without setup. Use preconfigured ML and data science libraries, choose CPU or GPU-backed notebooks.
Databases
Managed instances of PostgreSQL, MySQL, MariaDB, Valkey, and MS SQL Server. Automated backups, failover, and monitoring.
Storage
Manage object storage containers and buckets for S3/Swift-compatible data access.
Compute
Run and scale public cloud workloads in EU-based OpenStack data centres. Configure CPU, RAM, storage and OS, manage lifecycle actions.
Containers & Serverless
Run event-driven functions, lightweight workflows and scheduled tasks without provisioning servers.
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In this article you will learn how to run a Large Language Model (LLM) on your own virtual machine with a high-performance GPU.
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This article discusses Function Calling and examples of its use. The advantages of using this technology and instructions for its implementation are described.
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In this guide you will get list of ready to use applications providing GUI for LLMs using our Sherlock service - managed Generative AI platform.