top of page

Research Infrastructure for Understanding AI Progress

We develop tools and datasets that help researchers, policymakers, and industry understand how AI capabilities evolve. Our work provides the empirical foundation needed for informed decisions about AI development and deployment.

Introducing: ArXivDLInstruct

A new open-source dataset designed for instruction tuning on Python research code.

1.jpg

ARIA Benchmarks

A set of benchmarks evaluating machine learning knowledge in advanced AI models.

ee69aa_b0a8cf898bc74728b24ca231aea0dfe9~mv2.png.webp

Our mission is to create agentic tools that push the boundaries of innovation, while keeping AI safety at the core of our research and development process. We focus on building AI agents that can systematically analyze, test, and contribute to AI research processes.

Our Team

Our team brings extensive experience in deploying machine learning models and conducting AI research. We’ve worked at leading organizations like Apple, NASA, Adobe, and EY, and advanced research at Duke University and Northwestern University. This blend of industry and academic expertise fuels our innovative AI solutions.

Image by Sigmund

AI Safety & Evaluation

Our research philosophy prioritizes responsible AI development, acknowledging its growing capability for conducting robust research.

Research

Our research focuses on developing AI agents for literature reviews, research synthesis, experimentation, analysis, and architecture enhancement.

Values

Foster an inclusive AI community by promoting collaboration, accessibility, and open-source innovation for greater efficiency.

Partner With Us

At ARG, we're building ScoutML, an research platform designed to measure agentic machine learning research and discovery. We're looking for academic and industry partners to help us refine and improve the platform. 

  • Privileged Access – Get exclusive access to ScoutML.

  • Influence the Roadmap – Help shape benchmarks and features based on your needs and feedback.

  • Accelerate Your Research – Use ScoutML to generate hypotheses, analyze papers, and test new approaches. 

  • Collaborative Discovery – Join a growing network of researchers and industry leaders focused on advancing AI.

Advancing AI Together

We value the power of collaboration and are actively seeking partnerships with academic institutions, AI research labs, and individual researchers to drive innovation together.

Algorithmic Research Group
5540 Centerview Dr Ste 204 PMB 296182 Raleigh, NC, 27606 US

Thanks for submitting!

©2024 Algorithmic Research Group. All Rights Reserved.

bottom of page