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HAIO · Human + AI Orchestration

Academic Partners

Advance the science of human-AI orchestration through research collaboration. HUMΛN partners with universities and research institutions to explore AI safety, governance, and coordination theory.

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Advance the science of human-AI orchestration through research collaboration. HUMΛN partners with universities and research institutions to explore AI safety, governance, and coordination theory.

Research areas of interest

AI safety & alignment

How do we ensure AI agents operate within human-defined bounds? What safety mechanisms scale from single agents to complex multi-agent systems?

  • Formal verification of delegation constraints
  • Anomaly detection in agent behavior
  • Human-in-the-loop optimization

Governance & policy

What governance structures enable decentralized coordination at scale? How do we balance innovation with safety and accountability?

  • Decentralized protocol governance models
  • Capability-based access control theory
  • Provenance and audit systems

Coordination science

How do humans and AI agents best coordinate on complex tasks? What patterns emerge in successful human-AI workflows?

  • Multi-agent orchestration algorithms
  • Task decomposition and routing
  • Human oversight patterns at scale

What we offer

Research grants — Funding for PhD students, postdocs, and research projects aligned with HUMΛN's research agenda.

Dataset access — Anonymized provenance data, orchestration patterns, and workflow traces for research purposes (under appropriate agreements).

Compute credits — Free API access and compute resources for academic research projects and coursework.

Co-authorship — Collaborate with our research team on publications at top-tier venues.

Guest lectures — Our team presents on HUMΛN architecture, deployment patterns, and research directions.

Internships — PhD and graduate student internship opportunities on the core HUMΛN team.

How to collaborate

  1. Submit a research proposal — Outline your research question, methodology, and how HUMΛN data or infrastructure would support your work.
  2. Review & discussion — Our research team reviews proposals and schedules discussions with promising projects.
  3. Formal agreement — Sign a research collaboration agreement covering IP, data access, and publication rights.
  4. Conduct research — Access resources, collaborate with our team, and publish findings (open access encouraged).

Propose a research collaboration

Working on AI safety, governance, or coordination? We'd love to support your research and explore how HUMΛN can contribute to advancing the field.

Build with HUMΛN

Submit Research Proposal