The problem
Critical data is fragmented and unstructured. Extraction is manual or expensive, documents are scattered across platforms. Ai agents need organised, contextual data to be effective.
make any business AI ready.

Our solution
A unified framework that automates extraction, links documents to projects/clients, and provides persistent, searchable access across the entire document lifecycle.
Onboarding
We do not require changes to existing workflows or systems. We leverage efficient AI agents to automate the extraction and contextualisation. This is a game-changer in cost-reduction and effectiveness.
User Interfaces

Web app
Browser-based application
Outlook Add-in
Integrated Ketl PluginFramework
(This system took ~6 years to build and is production-ready.)Synchronisation
We have our own synchronisation framework that allows us to synchronise data between user storages and our servers.
Extraction
We combine multiple models to optimise the response times and accuracy. From LLMs to MLPs all state-of-the-art technologies.
Filling Graphs
This is the core of our system that allows us to connect the dots. The secret sauce.
Processing Engine
ketl engine delivers contextualised data intelligence via a single API—streamlining integrations and standardising fragmented inputs into one consistent format, data becomes production-ready for downstream platforms.
Classification

Templates

Nicolas Casademont
Co-foundercomputer scientist. Top of his class at EPFL, completed internship at NASA, ex-Dathena. left to solve document intelligence at the root.

James McGill
Co-founderex-quant and PM in swiss private banking. launched an it consultancy serving major banks, then co-founded ketl—migrating his own client base onto the platform.

Carlos Vergikosk
Product & Designex-makewise ai. hybrid product engineer and design lead with a sharp eye for ux and fast iteration cycles.

Jan den Bakker
Investor & Advisorserial entrepreneur and angel investor. early believer — has been core to ketl since day one, advising on strategy, funding, and execution behind the scenes.


“The speed and velocity we have together is unmatched.”
Our mission is to be #1 in
data intelligence
Our five-year vision
ketl becomes the default layer for extracting, structuring, and contextualizing data—embedded in enterprise workflows, trusted across industries.as LLMs and autonomous agents scale, structured input becomes essential.