Applied AI Systems & Reliability Lab is an independent technical research collective. We advance safe, reliable, and cost-conscious AI system design for small and regulated organizations.

Mission
We conduct applied research, document our methods and findings, and maintain a strict separation between research and commercial production. The Lab creates knowledge; commercial entities create products. We help small businesses and regulated industries get AI that is safe, reliable, and cost-conscious, through evaluation frameworks, reliability testing, governance, and methods built for resource-limited and compliance-heavy environments.

Research
Focus: evaluation frameworks, reliability testing, governance, deployment constraints for small and regulated contexts. We use a 6-month research theme so fellows and mentors share a clear focus. Outputs: whitepapers, technical briefs, benchmark reports, architecture frameworks, code. Published with transparency; sponsors get early previews but do not direct outcomes.

Fellowship
The AI Systems & Reliability Research Fellowship offers 6-month research terms with mentorship and at least one substantive output per fellow. 20+ hours/week. Fellows sign a Fellowship Agreement and Firewall Policy and do not access client or production systems. We publish findings and methods; licensing is separate. International students: confirm OPT eligibility with your DSO before applying.

Principles
Research-first. Firewall: no access to client environments or commercial production in violation of policy. Publish-first, license optionally. We do not market the Fellowship as immigration or visa protection.

Sponsors
Two tiers: Supporting Sponsor (Tier 1) and Research Partner (Tier 2). Both include visibility, recruiting access, early previews; Tier 2 adds a council seat. Sponsorship does not direct research.

https://www.aisystemslab.org

Applied AI Systems & Reliability Lab

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Applied AI Systems & Reliability Lab

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