top of page
Search

PaperLab joins NVIDIA Inception Program.

PaperLab joined the NVIDIA Inception Program

PaperLab is now part of the NVIDIA Inception Program, a global accelerator supporting AI startups building advanced, high-impact technologies. This milestone strengthens PaperLab’s position within the NVIDIA ecosystem and accelerates our work on GPU-optimised, diffusion-based document parsing.

NVIDIA Inception provides technical guidance, engineering resources, and access to advanced GPU tooling-support designed to help deep-tech AI companies scale faster and more efficiently.


This matters for our users

Joining NVIDIA Inception enables PaperLab to further optimize our parsing engine on NVIDIA GPUs, increasing throughput and reducing latency for large-scale document ingestion. GPU acceleration strengthens our ability to deterministically reconstruct complex layouts-tables, equations, multi-column text, and figures; while maintaining reproducibility and zero hallucinations.


For AI vendors and enterprises, this means faster, more reliable conversion of complex documents into AI-ready Markdown and JSON, lower infrastructure cost per page, and improved performance in RAG, ETL, and analytics pipelines.


Joining NVIDIA Inception validates our technical approach and gives us access to world-class GPU expertise. This support accelerates our work on high-accuracy, diffusion-driven parsing at scale.

Dr Antonis Meimaris - Founder and CEO


What’s next for us

With NVIDIA’s support, PaperLab will continue advancing GPU-accelerated parsing, including higher-throughput batch processing, improved performance on large and scanned document archives, and deeper integration with modern AI pipelines built on CUDA-accelerated infrastructure.


PaperLab joins NVIDIA Inception Program
PaperLab joins NVIDIA Inception Program

 
 
 

Comments


PaperLab White Logo Design

PaperLab

Accelerate Knowledge

PaperLab

Platform

Solutions

<script type="text/javascript">
_linkedin_partner_id = "8693153";
window._linkedin_data_partner_ids = window._linkedin_data_partner_ids || [];
window._linkedin_data_partner_ids.push(_linkedin_partner_id);
</script><script type="text/javascript">
(function(l) {
if (!l){window.lintrk = function(a,b){window.lintrk.q.push([a,b])};
window.lintrk.q=[]}
var s = document.getElementsByTagName("script")[0];
var b = document.createElement("script");
b.type = "text/javascript";b.async = true;
b.src = "https://snap.licdn.com/li.lms-analytics/insight.min.js";
s.parentNode.insertBefore(b, s);})(window.lintrk);
</script>
<noscript>
<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=8693153&fmt=gif" />
</noscript>

AI for science

Melbourne, AU

© PaperLab Technologies 2025 all rights reserved

bottom of page