Joshua Grasmick Takes World’s No. 1 Spot in AI Reasoning and Retrieval, Surpassing NVIDIA and Leading Research Teams on Princeton-Linked BRIGHT Benchmark

Grasmick’s breakthrough GRAIL AI retrieval system claims the top position on one of artificial intelligence’s most demanding reasoning benchmarks, with further performance improvements already underway.

FORT LAUDERDALE, FL | November 11, 2026

Joshua Grasmick, an American technology entrepreneur and AI developer, has achieved the No. 1 worldwide ranking on the BRIGHT Short-Document Reasoning Retrieval Benchmark, outperforming published systems from NVIDIA and other leading artificial intelligence research organizations.

Grasmick’s system, GRAIL, achieved a score of 69.4 nDCG@10, securing first place on the official leaderboard. The result places GRAIL ahead of Forward AI Labs, INF, NVIDIA, and research collaborations involving major academic institutions.

When asked about the achievement and what comes next, Grasmick responded, “Within just two days of submitting our results, we were already beating our own record. Reaching number one is an incredible milestone, but what’s even more exciting is that we’re still improving.”

The achievement represents a significant milestone in reasoning-intensive information retrieval, a field central to the future of artificial intelligence, advanced search, scientific research, and systems capable of identifying information that requires complex logical connections.

A Breakthrough Against Some of the World’s Leading AI Research Organizations

BRIGHT, short for Benchmark for Reasoning-Intensive Retrieval, was developed by researchers affiliated with Princeton University, the University of Hong Kong, the University of Washington, and Google Cloud AI Research.

The benchmark was presented at the prestigious 2025 International Conference on Learning Representations (ICLR), one of the leading international conferences for machine learning research.

Unlike traditional search benchmarks that primarily measure keyword matching or semantic similarity, BRIGHT evaluates whether AI systems can identify relevant information through deeper reasoning, contextual understanding, and complex relationships between questions and documents.

The benchmark spans 12 challenging domains, including mathematics, economics, psychology, robotics, programming, and scientific disciplines.

Its leaderboard features systems developed by major technology companies, specialized AI laboratories, and university research teams.

Against this highly competitive field, Grasmick’s GRAIL system currently holds the top published position in the short-document category.

Published BRIGHT leaderboard results include:

• No. 1: GRAIL, Joshua Grasmick | 69.4
• No. 2: Mira-Reasoning-Retrieval, Forward AI Labs | 66.9
• No. 3: INF-X-Retriever, INF | 63.4
• No. 5: NeMo Retriever’s Agentic Retrieval, NVIDIA | 50.9

These results establish GRAIL as the highest-scoring published system in BRIGHT’s short-document reasoning retrieval category as of November 11, 2026.

Grasmick reports that subsequent internal testing has already produced improvements beyond the officially published score. Those additional results have not yet been independently reflected on the public leaderboard.

Why This Achievement Matters for Artificial Intelligence

One of the most significant challenges facing modern artificial intelligence is the ability to find the correct information when the answer cannot be identified through simple word matching.

Traditional retrieval systems frequently depend on semantic similarity, identifying documents that resemble the language of a user’s question.

Reasoning-intensive retrieval requires something more sophisticated.

A system may need to understand a mathematical relationship, recognize an underlying scientific principle, interpret an indirect question, or identify a document whose relevance is not immediately obvious.

These capabilities are particularly important for emerging applications in legal research, medical and scientific discovery, financial analysis, enterprise intelligence, and advanced AI agents.

GRAIL’s benchmark performance demonstrates competitive capabilities in this difficult area of AI research, creating potential opportunities for commercialization across industries that depend on accurate information discovery.

What’s Next? Grasmick Discusses Investor Interest and Another Potential Breakthrough

When asked about the next stage of development, investor interest, and the commercial future of GRAIL, Grasmick explained, “The response has been overwhelming. We’ve been approached by interested parties, but navigating the investment landscape while continuing to develop the technology has been challenging. We’ve spent so much time building and refining these breakthroughs that finding the right investment partners is now a major priority. At the same time, we have a provisional patent application involving quantum computing technology that we believe could be another significant breakthrough, and we’re preparing to reveal more about it soon.”

Details of the quantum computing technology have not yet been publicly disclosed, and its technical claims remain to be independently evaluated.

From Research Achievement to Commercial Opportunity

With a working proof of concept and a first-place position on a recognized international AI benchmark, Grasmick is now focused on moving the technology toward commercial deployment.

Potential applications include enterprise AI search, advanced legal research, knowledge management, intelligent research assistants, and reasoning-based information retrieval platforms.

The next phase will focus on strategic investment, further development, infrastructure expansion, and commercial partnerships.

For Grasmick, the ambition extends beyond maintaining a leaderboard position.

“The goal was never simply to win a benchmark. It was to build technology that changes what artificial intelligence can actually accomplish. Being ranked number one validates an important part of our approach, but the real opportunity is what we can build with it next,” Grasmick said.

About Joshua Grasmick and GRAIL

Joshua Grasmick is a technology entrepreneur, developer, and digital marketing professional with more than 13 years of experience in technology-driven business development.

He is the creator of GRAIL, an artificial intelligence reasoning and retrieval system reported to be ranked first on the BRIGHT Short-Document Reasoning Retrieval Benchmark.

His work focuses on developing advanced information retrieval, reasoning systems, and emerging computing technologies with potential applications across multiple industries.

Independent Benchmark Verification

The BRIGHT benchmark is a research initiative involving contributors affiliated with Princeton University, the University of Hong Kong, the University of Washington, and Google Cloud AI Research.

The research was published at ICLR 2025.

Official BRIGHT leaderboard: https://brightbenchmark.github.io/

Research publication: https://collaborate.princeton.edu/en/publications/bright-a-realistic-and-challenging-benchmark-for-reasoning-intens/

Media and investment inquiries:

Joshua Grasmick www.jgrasmick.com