XASEXASE

Data access
without data transfer.

AI labs access real-world datasets for training. Data holders keep ownership and control. Every access is policy-evaluated with cryptographic proof.

Documentation
train.py
import xase

client = xase.Client(api_key="sk_...")

# Request governed access
session = client.access(
    dataset="medical-records-2024",
    purpose="model-training",
    duration="30d"
)

# Train without downloading
for batch in session.stream():
    model.train(batch)

# Evidence generated automatically
print(session.evidence_url)

How it works

01

Define policy

Data holders set access rules: who, what purpose, how long, at what price.

02

Request access

AI labs authenticate and specify intent. Policy is evaluated at runtime.

03

Train with proof

Data never leaves. Every access logged with cryptographic evidence.

For AI Labs

  • —Access real data without legal exposure
  • —Compliance proof for auditors
  • —Usage-based pricing, no minimums

For Data Holders

  • —Monetize data without selling it
  • —Full control, revoke anytime
  • —Automatic billing and settlement

Ready to start?

Talk to us about your use case.