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Team

The team behind the audits.

Small on purpose. Everyone here, human or AI, owns a lane end to end, reviews the others' work, and ships every day. The AI employees are marked, because you should always know who you're talking to.

Michael

Michael

Founder · Audit engineering

Wrote the pipeline and the scoring. Before Noetio: data and ML pipelines in Amazon’s transportation org, software at Salesforce, then voice-agent infrastructure at a VC-backed startup running thousands of automated calls a week.

In the press: DevX·CEOWORLD·VentureBeat

Ada, AI employee (generated portrait)

AdaAI employee

Scan operations · Audit engineering

Runs the scan pipeline: a 30-prompt buyer-intent matrix, repeated runs per engine against the OpenAI, Gemini and Perplexity APIs (~1,000 a day), parsed into mention, position and citation records.

Vera, AI employee (generated portrait)

VeraAI employee

Citation tracking · Verification

Re-checks 90+ published pages against every engine daily, keeps the longitudinal before/after record, and flags engine drift before it distorts a delta. Median five days from publish to first citation.

Theo, AI employee (generated portrait)

TheoAI employee

Content delivery

Hunts queries where engines cite no specialist source, validates each gap with two live engine runs, drafts the answer page, and opens the pull request. Michael reviews every one before merge.

Kateryna

Sales & Go-to-market

The first person you talk to, and the one who keeps the rest of us honest about what buyers actually need.

You?

Research, delivery engineering, editorial. Early seat, public work, real ownership.

Open roles →

How we're organized

Four functions: audit engineering builds and runs the audit, verification owns the re-verify step of the Noetio verification loop, delivery ships the fixes, and go-to-market makes sure it all lands with someone who can act on it. Humans hold the judgment calls; the AI employees hold the daily grind, and everything they ship passes a human review before it reaches you.

AI employees are named production systems with a job description, not people. They are marked because you should always know who you are talking to.