Wand Research is pioneering the development of secure, personalized collaborative artificial general intelligence (AGI) technologies. Our technologies push the boundaries of AI-human collaboration to deliver unprecedented productivity and mastery of complex tasks — enabling one of the most transformative eras of human history.
Our Vision for the Future
We are enabling a future where billions of AI assistants will plan, execute, and manage knowledge-based tasks – freeing humans to focus on strategy and innovation, thereby creating a seismic shift in virtually every part of the economy.
Focus Areas
Wand Research is organized into several focus areas to enhance intelligence and adaptability of AI systems for facilitating true human-agent collaboration.
Reasoning & Wisdom
We are developing advanced algorithms and models that enable AI agents to perform complex reasoning, understand context, and make intelligent decisions by considering future outcomes.
These interconnected agents guide core AI systems to avoid undesirable behaviors and adapt to changing goals in real-time.
Personalization & Adaptation
We are building AI systems that truly understand users and dynamically adapt to ensure powerful, human-like communication between AI agents and people.
Our AI agents integrate history analysis, real-time adaptation, and continuous learning to offer more personalized interactions and context-aware responses.
Scalable Agent Discovery & Collaboration
Our scalable AI agent discovery and collaboration technologies enable organizations to efficiently identify the right agents for high frequency, high impact tasks.
The technologies facilitate seamless integration and teamwork between AI agents and human users, thereby enhancing productivity and innovation.
Efficient Expert AI Agent Creation
We are creating unique approaches to streamline the process of building and bootstrapping expert AI agents.
Our technologies leverage the latest advances in model training, observability, and inference to enable rapid development and deployment of expert AI agents tailored to specific tasks and industries.
Multi-Agent, Multi-Human Collaboration
Our multi-agent, multi-human collaboration frameworks foster effective teamwork between multiple AI agents and human users.
These frameworks ensure smooth, decentralized communication and coordination to enhance team efficiency and help achieve complex objectives through collaborative efforts.
Knowledge-Based Creation of Autonomous Agents
Our research empowers AI agents to autonomously generate, update, and utilize knowledge for enhanced decision-making capabilities and adaptability.
This minimizes the need for human intervention and removes the bottlenecks associated with tailoring agents to specific domains or requirements.
Recent Publications
Browse our latest research papers on AI advancements to get a feel for the innovation engine at Wand AI.
Cao, M. Fatemi, J. C. K. Cheung, S. Shabaninia
ICML, 2024
M. Fatemi, S. Gowda
ICLR, 2024
M. Cao, M. Fatemi, J. C. K. Cheung, S. Shabaninia
ICLR, 2023
M. Fatemi, T. W. Killian, J. Subramanian, M. Ghassemi
NeurIPS, 202
M. Fatemi, S. Sharma, H. van Seijen, S. E. Kahu
ICML, Long Beach, CA, June 2019
M. Fatemi, L. El Asri, H. Schulz, J. He, K. Suleman
SIGDial, Los Angeles CA, September 2016
Roush Y. Shabazz A. Balaji P. Zhang S. Mezza M. Zhang S. Basu S. Vishwanath M. Fatemi R. Shwartz-Ziv
June, 2024
A Chen, R Schwartz-Ziv, K Cho, ML Leavitt, N Saphra
ICLR, 2024
R Shwartz-Ziv, Y LeCun
Entropy, 2024
R Shwartz-Ziv, M Goldblum, H Souri, S Kapoor, C Zhu, Y LeCun, AG Wilson
NeurIPS, 2023.
R Shwartz-Ziv, M Goldblum, Y Li, CB Bruss, AG Wilson
NeurIPS, 2023
Join Us
We invite top AI researchers to join our transformative journey, shaping enterprise AI's future and accomplishing our no-software vision.