Research
Exploring the frontiers of technology. Our team publishes original research on AI, distributed systems, and data strategy.
Intelligent AI Delegation
A framework for intelligent delegation in multi-agent AI systems — covering task allocation, authority transfer, trust mechanisms, and systemic resilience across human-AI delegation networks.
Nenad Tomašev, Matija Franklin, Simon Osindero — Google DeepMind
Foundations of Large Language Models
A comprehensive book-form treatment of LLM foundations — covering pre-training, generative modeling, prompting, alignment, and inference for students, professionals, and NLP practitioners.
Tong Xiao, Jingbo Zhu
WebLists: Extracting Structured Information From Complex Interactive Websites Using Executable LLM Agents
A new benchmark and agent architecture for structured data extraction from live websites — BardeenAgent achieves 66% recall versus 3–31% for existing agents, at one-third the cost.
Arth Bohra, Manvel Saroyan, Danil Melkozerov, Vahe Karufanyan, Gabriel Maher, Pascal Weinberger, Artem Harutyunyan, Giovanni Campagna
Unravelling the Probabilistic Forest: Arbitrage in Prediction Markets
An empirical study of arbitrage on Polymarket — identifying ~$40M USD in realized profit from Market Rebalancing and Combinatorial Arbitrage driven by a fundamental design flaw in prediction market pricing.
Oriol Saguillo, Vahid Ghafouri, Lucianna Kiffer, Guillermo Suarez-Tangil
The Future of Forward Deployed AI in Enterprise
An in-depth analysis of how embedded engineering teams are outperforming traditional consultancy models in AI adoption.
Zero Creativity Research
Optimizing Large Language Models for Specific Domains
Techniques and case studies on fine-tuning foundational models for highly specialized legal and medical datasets.
Zero Creativity Research
Blockchain Interoperability Standards: A 2025 Outlook
Reviewing the emerging protocols that enable seamless asset transfer across distinct blockchain networks.
Zero Creativity Research
Predictive Analytics in Supply Chain Resilience
How predictive modeling is helping global logistics firms anticipate and mitigate disruption risks.
Zero Creativity Research