LinkedInBook a call

Data Privacy · AI Compliance

AI adoption, with the risk engineered down.

Compliance teams block AI adoption when there's no production-ready way to keep sensitive data out of model calls. We build the redaction and observability layer that helps enterprises use LLMs under GDPR, PDPA and sector-specific frameworks, with an audit trail for requests. It reduces data-exposure risk and improves auditability; it does not remove your legal and regulatory obligations.

How it works · privacy engineering for AI

Model calls redacted and audited before they leave your walls.

Enterprise teams send free-text, documents and support tickets into LLMs, most of it containing PII a compliance team never signed off on. We put a redaction and observability layer between your systems and any model, so sensitive data is redacted before it reaches an API you don't control, and calls leave an audit trail.

What it does · three capabilities

01

PII Detection

Named-entity recognition tuned for your data: names, IDs, financial details and free-text PII caught at the API layer before a model call.

  • Custom NER models per data domain
  • Low-latency detection at the API layer
  • Configurable redaction vs. tokenisation
02

LLM Observability

Every model call logged: what was sent, what was redacted, which model responded. Compliance teams can see, not just trust.

  • Full request/response audit trail
  • Per-model, per-team usage visibility
  • Exportable compliance reporting
03

Drop-In Integration

A proxy layer that sits in front of any model API (OpenAI, Anthropic, Gemini or self-hosted), so existing pipelines don't need a rewrite.

  • Minutes to integrate, not months
  • Works with any LLM provider
  • Supports GDPR, PDPA and sector-framework controls

Watch it work · the redaction gate

What actually leaves your walls.

Proof over promises

Privacy Tech · Singapore

Enprivacy

Direct client engagement, CTO-as-a-Service. Developer SDK for PII redaction and LLM observability, built to support secure enterprise AI usage. A compliance-support layer for organisations operating under PDPA, GDPR, and sector-specific data protection frameworks. Bayseian leads architecture, NER model development, UI/UX, and research. Status: live production (as of July 2026).

Live

Production status (Jul 2026)

PDPA + GDPR

Frameworks supported

Data Privacy · AI Compliance

Let your teams use AI without the compliance stand-off.

If 'we can't send that to an LLM' is blocking a project, we can show you what a governed model call looks like in your stack.

Book a callOr email contact@bayseian.com