About us
Making AI systems understandable and accountable at scale.
We are building the infrastructure layer for AI governance, turning how AI is actually used into clear, audit-ready evidence.
As companies adopt AI across their products and operations, it is becoming harder to understand how these systems are being used and what risks they introduce.
We solve this by capturing system-level metadata and turning it into structured, audit-ready outputs. Our platform helps businesses gain visibility into their AI systems, prepare for emerging regulations, and build internal accountability.
We do not store prompts or model outputs. Instead we focus on reliable, structured information that can be trusted by teams, auditors, and regulators.
What we stand for
The infrastructure layer for AI governance
As companies adopt AI across their products and operations, it becomes harder to understand how these systems are used and what risks they introduce. We provide the foundational layer that makes it visible.
Metadata, never content
We capture system-level metadata and turn it into structured, audit-ready outputs. We do not store prompts or model outputs: governance visibility without the privacy risk.
Trusted across the organisation and beyond
We create reliable, structured information that teams, auditors, and regulators can trust, helping you prepare for emerging regulation and build internal accountability.
Our goal is simple: to make AI systems understandable and accountable at scale.
Our principles
People and accountability first
Technology should make organisations more accountable, not less.
Privacy by design
We collect only what is necessary for governance, and nothing more.
Built for what is coming
Designed around emerging AI regulation, so you stay ahead of it.
Clarity over complexity
We turn messy telemetry into information people can actually trust.
Build the future of AI accountability with us.
Whether you want to govern your own AI systems or help us build the infrastructure to do it, we would love to hear from you.