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About & Team

Who builds Aram Algorithm

Mano Venkatesan Founder · Methodology & engineering

Builds and operates the deterministic Stufenprüfung G0–G7 review pipeline. Designed the gate architecture and the Schwachstellenkatalog, and personally runs every pilot-phase matter end-to-end. Background and full bio available on request — the methodology paper is the primary public document.

mano@aramalgorithm.ai · LinkedIn

Validating authority

Independent senior Fachanwalt für Arbeitsrecht review of the rules and per-matter findings can be commissioned for any engagement that requires an external legal sign-off on top of the deterministic replay. We will name the validating Kanzlei (with Standort and AGH Zulassung year) on this page only when written attribution permission is in place — not before. Anonymous validation is, in our view, worse than no validation, so we do not list a name we cannot stand behind publicly.

Advisors

Aram Algorithm is in pilot phase. Advisors with named credentials in German employment law, data protection, and enterprise sales are being onboarded; they will be listed here individually as written attribution permission is granted. Until then, we will not list anonymised advisor roles, because anonymous endorsements do not give procurement teams anything they can actually verify.

Open seat: Senior Fachanwalt für Arbeitsrecht — methodology validator. Attribution pending.
Open seat: Data-protection / GDPR counsel — DPA and TOM review. Attribution pending.
Open seat: HR-leader reference — CHRO or VP HR at a DE-based employer of >500. Attribution pending.

Operating record

The service is in pilot phase. We will publish operating numbers — live-since date, matters reviewed, median turnaround, reference Fachanwälte available under NDA — on this page as soon as the first paying matter completes and the reference Fachanwalt grants attribution. Until then, we describe the methodology, not the volume, because trust is built on what we are willing to put a name to.

Why this page exists

German enterprise procurement, in-house counsel and outside counsel reasonably expect to know who is behind a legal-tech service before they share even de-identified case data. This page is the answer to that question. If something here is missing for your evaluation, write to mano@aramalgorithm.ai and we will respond in writing within one business day.