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Plain-English Disclosure

Transparency & Disclosure

We work under strict NDAs with enterprise clients. That means the names you see on this site are sometimes stylised. This page explains exactly what is anonymised, what is real, and what you can verify before engaging.

Client identities are anonymised

The client names, company names, and identifying details shown in testimonials, the logo marquee, industry-page scenarios, and case studies on this site have been anonymised. Our enterprise engagements are governed by mutual non-disclosure agreements that prohibit naming the organisation, the specific systems deployed, or the people we work with.

The outcomes, architectures, and engineering patterns described are drawn from actual engagements. Names are not.

Testimonials are drawn from real feedback

Quotes on the home page represent genuine feedback from client engagements, with speaker names and company names changed under NDA. The outcomes, technologies, and percentage improvements cited are taken from the original engagement reports without modification.

Logo marquee: representative, not endorsed

The brand names that scroll across our home page are stylised versions of real client companies. We do not display logos we are not contractually permitted to display. When a client agrees to on-record attribution, their real logo replaces the stylised name.

Industry-page scenarios are representative

The “engagement scenarios” on pages like /ai-agents-for/finance describe the approach we would take, not retrospective case studies with real clients. They are explicitly framed with a “Representative scenarios” section header. Outcome metrics in those scenarios are vague on purpose (“40%+ cycle reduction” rather than exact percentages) because specific numbers belong to specific clients and are not ours to disclose without their consent.

What is on the record

  • Our founding year (2012) and company history
  • Our leadership — real name, real LinkedIn, real identity
  • The technology stack we ship with (LangChain, LangGraph, CrewAI, vector databases) and the engineering patterns we publish in the blog
  • Our team-size and deployment-count ranges (40+ agentic systems, 25+ enterprises, ~14 engineers, since 2012)
  • Our compliance posture (SOC 2 Type II, HIPAA, GDPR, ISO 27001) — documentation available on request under mutual NDA

Verifying before you engage

If you are evaluating us for an enterprise engagement and need on-record references, we will provide named client contacts under a mutual NDA — typically three references most relevant to your industry and workload. This happens in the later stage of diligence after an initial scoping conversation.

The fastest way to start that conversation is the AI-Readiness Assessment or a direct message via the contact form.

Last updated 15 April 2026. This page is maintained as a single source of truth for all client-identity and attribution questions across the site.