Regulated teams.
Finance, health, legal and the public sector, where data has to stay in Europe.
Research 04EU-hosted inference
Gedor is a platform for running language models in Europe: one OpenAI-compatible endpoint over a curated catalog of general, coding and embedding models, with managed vector databases alongside. Dedicated infrastructure and ready-made agents follow.
Jump to: How it works · Catalog · Layers · Roadmap · Waitlist
General purpose
import os
from openai import OpenAI
client = OpenAI(
base_url="https://<gedor-endpoint>/v1",
api_key=os.environ["GEDOR_API_KEY"],
)
stream = client.chat.completions.create(
model="glm-5.1",
messages=[
{"role": "user", "content": "Summarise our retention policy."},
],
stream=True,
)Response · streamed
Customer records are kept for as long as the contract runs, plus 24 months. After that they are deleted from production systems and backups within 30 days.
model · glm-5.1/v1/chat/completionsEU
Coding
import os
from openai import OpenAI
client = OpenAI(
base_url="https://<gedor-endpoint>/v1",
api_key=os.environ["GEDOR_API_KEY"],
)
stream = client.chat.completions.create(
model="qwen3-coder",
messages=[
{"role": "user", "content": "Validate an IBAN in Python."},
],
stream=True,
)Response · streamed
def is_valid_iban(iban: str) -> bool:
s = iban.replace(" ", "").upper()
s = s[4:] + s[:4]
digits = "".join(str(int(c, 36)) for c in s)
return int(digits) % 97 == 1model · qwen3-coder/v1/chat/completionsEU
Embedding
import os
from openai import OpenAI
client = OpenAI(
base_url="https://<gedor-endpoint>/v1",
api_key=os.environ["GEDOR_API_KEY"],
)
result = client.embeddings.create(
model="bge-m3",
input="GDPR Article 5: data processing principles",
)Response · vector
[0.0213, -0.1137, 0.0582, 0.0094, -0.0461, 0.0718, …] 1024 dimensions
model · bge-m3/v1/embeddingsEU
01 · Why EU-hosted
Most hosted LLM APIs run on infrastructure owned by companies outside the EU, so the data they process can fall under non-EU law as well as European law.
For teams handling financial, health, legal or public-sector data, that can rule them out before the first prompt. Gedor runs on GPUs in an EU data center, under EU law: GDPR and the EU AI Act.
02 · Architecture
From your code to a GPU and back, every hop after the gateway runs inside the same EU data center.
One OpenAI-compatible endpoint. It checks the API key, applies per-tenant rate limits and meters usage before anything reaches a model.
Kubernetes with KServe places each model on the cluster, scales idle models to zero and rolls out new versions as canaries.
vLLM serves the models, with PagedAttention and continuous batching to keep throughput high.
The compute itself, in an EU data center. The response goes back the way the request came.
03 · Catalog
The open-weight models teams are deploying, curated, hosted and ready to call. Plus managed vector databases to pair with any of them.
The catalog is not final. Models and databases may be added, swapped or removed before launch.
04 · Retrieval
Start a managed vector database, upload files, and they are split into chunks, turned into embeddings and stored in a collection. Query it from the playground or over the API with the same key.
05 · Platform
The pipeline from model to vector store to agent is meant to be something a team can set up without an ML department.
The hosted catalog behind one OpenAI-compatible API, with managed vector databases next to it.
Dedicated GPU capacity for your own models. Bring a model and its deployment spec, and reach it through the same API.
Ready-to-use agents for documents, web research, email and calendar, and long-form research. Already have one? Bring your own agent and run it on EU infrastructure.
06 · Audience
Teams that want open models without sending their data out of the EU.
Finance, health, legal and the public sector, where data has to stay in Europe.
Add language models to a product without building or running the infrastructure.
Dedicated EU compute for your own models, once the infrastructure layer opens.
Ready-made agents for everyday workflows, once the agent layer arrives.
07 · Roadmap
Models first, then infrastructure, then agents.
08 · Waitlist
Gedor is built by Astro Synapse. Join the waitlist for early access and a say in what goes into the catalog.
Code samples and figures on this page are illustrative. The model catalog is not final.
© Astro Synapse Limited. Dublin, Ireland.