On a mission to make enterprise knowledge trustworthy

who we areWhy TensorLot.

Our mission

Make every organisation’s knowledge AI-ready: cleaned, deduplicated, contradiction-checked — so people and agents can rely on it. Institutional knowledge should never depend on who is still in the building.

Our vision

A world where every assistant and every agent works on a trustworthy foundation — where answers come with sources, actions come with rules, and the data underneath is something you can vouch for.

principlesHow we work.

Evidence over promises

Citations, scores and findings you can check — on our product and on this website. If we cannot substantiate a number, we do not print it.

Your data stays yours

Read-only access, EU hosting, no rewriting behind your back. Governance is part of the product, not a feature tier.

Agnostic by design

Your sources, your models, your agent frameworks. TensorLot is the layer in between, never another silo.

Customer outcome first

We start every engagement on your documents, not on slides — and measure what changes for your teams and agents.

our journeyFrom research to product.

  1. Sep 2025
    Research & foundation

    Dr. Omar El Sayed completes foundational research on enterprise knowledge management and AI-ready data quality. The idea for TensorLot takes shape.

  2. Nov 2025
    Team

    Alexander Lichtenstein joins as CTO. Development of the TensorLot Core prototype begins.

  3. Jan 2026
    First prototype

    Working prototype of the TensorLot Core engine — ingestion, contradiction detection and quality scoring validated on real enterprise data.

  4. Apr 2026
    Pilot-ready

    The platform is ready for proof-of-concept pilots on real enterprise document sets.

  5. Aug 2026
    Agents & MCP

    TensorLot becomes an MCP server: governed tools, playground, action rules — agents act on clean knowledge.

  6. Jan 2027
    TensorLot GmbH, Zug

    TensorLot GmbH is founded in Zug, Switzerland — the company behind the product, serving enterprises across Europe from day one.

teamThe people behind it.

Dr. Omar El SayedFounder & CEO

AI and knowledge-management researcher who authored the work TensorLot is built on — and turned it into an enterprise product.

AI research · Knowledge management · Product
Alexander LichtensteinCo-Founder & CTO

Leads the technical vision behind TensorLot — the infrastructure that scores, cleans and serves enterprise knowledge at scale.

Architecture · Engineering · RAG systems

Advisory board

Prof. Dr. Dr. h.c. mult. Horst Stöcker/ Scientific Advisor /

Judah M. Eisenberg Professor Laureatus at Goethe University Frankfurt; founding director of FIAS and former CEO of GSI Helmholtz Centre for Heavy Ion Research. Over 500 publications and 50,000 citations.

Theoretical physics · Scientific strategy
Beschir Hussain/ Business Advisor /

Serial entrepreneur in education, technology and real estate. Founding partner at Nesting; previously co-founded Vertical Food, Germany’s pioneering vertical food brand, leading its expansion to the Middle East.

Scaling · Go-to-market · Entrepreneurship

get in touchBook a demo — on your documents.

Tell us where the five-versions problem hurts most. We answer within one business day and scope a proof of concept on exactly those documents.

  • Emailoes@tensorlot.ai
  • LocationZug, Switzerland
  • Response timewithin one business day

Tell us about your documents

Sources, rough volume, and what you want AI to do with them.