Tomorrow’s Intelligence Today
At ALI, we just don’t fund great alignment projects. We also bridge the gap between laboratory interpretability research and production-validated AI safety. Explore our active alignment research projects:
Alignment Grants Platform (AGP)
A grants management and researcher credentialing platform for the AI safety community. AGP handles the full grant lifecycle — application, milestone tracking, KPI verification, and fund disbursement. Built on Account Abstraction (ERC-4337) on Base; researchers interact with an intuitive interface.
Alignment Delegation Protocol (ADP)
A real-time, inference-integrated safety framework that streams token-level H-Neuron activation signals to detect deceptive model behavior. It dynamically executes a two-tier cascade, triggering internal self-correction before delegating to verified external Proof-of-Knowledge (PoK) nodes when internal correction limits are exceeded.
Multi-Agent Signals Alignment (MAS)
Multi-Agent Signals (MAS) is a data alignment platform that aggregates and governs actionable data delivering cost, safety, and reliability for enterprises that cannot afford to be wrong. MAS uses a governance-first, three-layer AI architecture (iSLM routing, private RAG vector search, and live Multi-Agent integrations).
Alignment Governance Benchmark (AGB)
A rigorous alignment reporting benchmark mapping model architectures directly to global compliance standards. It operationalizes metrics under ISO/IEC 42001, the NIST AI Risk Management Framework, and the EU AI Act, integrating them alongside veteran AI safety research evaluation protocols.
Alignment Glossary — Interactive Terms
A comprehensive, interactive index cataloging over 200+ crucial AI safety, alignment, and interpretability terms across 20 structured categories. Features interactive citation analytics, direct academic references, and a responsive portal for researchers and policymakers.
Alignment Working Paper Series
The ALI Working Paper Series publishes in-progress research on AI alignment governance — released as open drafts to invite peer critique, domain expert engagement, and co-authorship. The series is built around a four-part taxonomy distinguishing technical, behavioral, governance, and societal alignment, applied longitudinally across professional verticals.
State of Open Source AI Report 2026
A comprehensive analysis of the global open-source AI ecosystem, tracking safety compliance, model licenses, and developer alignment practices. This research provides policymakers and developers with data-driven insights into decentralized artificial intelligence safety standards.
Alignment Research Portal (ARP)
One of the world’s first dedicated, free-to-use AI alignment research environments. ARP equips safety researchers with high-powered semantic retrieval and analysis tools to explore, index, and analyze thousands of safety publications from the largest scientific repositories on the web.