Your AI is only as good as the data you dare to give it.

Governance, privacy and pipelines that make enterprise data safe to put in front of a model.

Legal won't sign off, so the pilot runs on toy data — and proves nothing. Or worse: it runs on real data, and nobody can say where the customer records went. Between 'we can't use our data' and 'we shouldn't have used our data' sits the layer most AI programmes never build.

WHAT WE DELIVER
FIG·01 — PII-SAFE DOCUMENT FLOW INTAKE PGP ENCRYPTED VAULT KEY MANAGEMENT DLP PII REDACTION OUTPUT GOVERNED + AUDITABLE
HOW AN ENGAGEMENT RUNS
PROOF

We designed and built secure data-for-AI pipelines for Vodafone's enterprise GenAI platform: PGP-encrypted document intake, DLP-based PII redaction, HashiCorp Vault key management — publishing governed output for AI use, with private keys and plaintext PII never persisted. Regulatory-grade data handling is where we started: our founder architected adverse-drug-reaction platforms serving 28 EU countries at the European Medicines Agency.

TECHNOLOGY

GCP DLP · HashiCorp Vault · Dataflow · BigQuery · Dataplex · vector databases · PGP/GnuPG · VPC Service Controls · Collibra · Terraform

Tell us what legal said no to. That's usually where we start.

Talk to us