AI for every team. One set of rules.
Astraed deploys and operates your private AI gateway. You control models, access, and spend.
Talk to us ↗Explore Astraed AI Gateway
Give each team the right access.
Approve models and set a budget for each team. Review its members, access keys, and spend in one place.
Choose what gets checked.
Configure checks before requests reach a model. In this demo, personal-data masking is enabled by default.
Set budgets. Keep teams within them.
Set spending limits before rollout. Requests stop when a budget is reached, until it resets or an administrator raises it.
Test a request before rollout.
Try an approved model with a team key. Inspect the answer alongside its token usage and cost.
Every connected tool follows your rules.
Requests from your workspace, agents, and coding tools pass through the gateway before reaching an approved model.
-
Legal team
“Summarize the confidentiality clause in this NDA and flag anything we should change.”
-
Checked in the gateway
- Key
- Legal team key
- Model
- claude-sonnet-5-5, approved
- Personal data
- Masking rule applied
- Budget
- $25.31 of $500 used
-
Answer, with its cost
- Route
- Approved outside provider
- Cost
- $0.00078
- Recorded to
- Legal team budget
Same key, asking for gpt-5.5. Not approved for Legal, so the request is refused and logged.
Your choice of models. Your approval.
Choose approved outside providers or models on your own servers. Availability follows your deployment and privacy requirements.
Match each workload to the right level of privacy.
Route each team to approved outside providers, dedicated European servers, hardware at your site, or a clear combination of these choices.
- 01
Outside providers that agree not to store your data
Use selected providers only when their contracts prohibit storing prompts and files or using them to train models.
- 02
Private servers in Europe
Run models on dedicated servers in the EU, Switzerland, Norway, or Iceland.
- 03
At your site
Run local models and the gateway on hardware you own or lease.
One endpoint for the workspace, agents, and code.
Connect tools that support an OpenAI-compatible endpoint using your gateway address and a team access key.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://ai.your-company.com/v1",
api_key=os.environ["LEGAL_TEAM_KEY"],
)
reply = client.chat.completions.create(
model="claude-sonnet-5-5",
messages=[{"role": "user", "content": "Summarize this NDA."}],
)
print(reply.choices[0].message.content)
One subscription. Clear usage costs.
Operation, support, and maintenance are included. Outside model usage is passed through at provider cost, with no markup.
- Setup
- One-time fee, quoted after assessment
- Subscription
- Annual, priced by infrastructure, privacy requirements, and number of employees
- Outside models
- Monthly, at provider cost, no markup
- On-site models
- No inference charge for models running on your premises
- Hardware
- Optional lease under a separate contract
Questions teams ask about the gateway.
Which models can we use?
Where do prompts and logs live?
Do outside providers keep our prompts?
What happens when a team reaches its budget?
Map your teams, models, and budgets.
A short call to map your teams, privacy needs, and budgets. Pilot scope is agreed with you.