Verification assets for regulated systems

Confidence is easy.
Calibration is the work.

CalibrateDrift reads the metadata your systems already hold to derive the impact of a change, decipher its dependencies, and size its blast radius. Risk, compliance, and quality teams get evidence they can trust, for decisions made by people and by AI agents.

Talk to us about assurance

Built for regulated industries, where trust is earned with evidence: for risk, compliance, reliability, and quality.

01 — Drift

As systems grow, they drift.

Drift in a system becomes drift in everything that depends on it.

We calibrate that drift.

CalibrateDrift keeps the trace and the evidence that decisions rely on, so trust in a system rests on what it is today, not what it used to be.

02 — What we derive

Every change, measured for risk.

  1. 01

    Impact

    What the change reaches.

  2. 02

    Dependencies

    What it relies on, documented or not.

  3. 03

    Blast radius

    How far a failure could spread.

  4. 04

    Gaps

    Where evidence is missing or stale.

Derived from metadata. Every observation traces back to its source.

03 — Assurance

Assurance for the age of agentic decisions.

AI agents now approve changes, triage incidents, and act on live systems faster than any review board. Each decision is only as sound as the picture of the system it was based on.

CalibrateDrift gives agents, and the people accountable for them, the same calibrated ground truth. Every agentic decision can be checked, explained, and trusted.

  1. 01Agent proposes a decision
  2. 02Calibrated against trace, dependencies, and evidence
  3. 03Assured, or escalated to a person

What trust in a change depends on.

Blast radius
How far could this change spread, and which customers or obligations sit inside it?
Dependencies
Which systems and vendors does it rely on, including the links nobody documented?
Gaps
Which controls lack evidence, and which observations need follow-up before an audit?

04 — Contact

Start with one decision you need to trust.

Bring a system, a change, or an agent-driven workflow that is hard to assess today. We will show what its metadata reveals: the impact, the dependencies, the blast radius, and the gaps in evidence.