Building the Future of Agentic & AI Systems
Submit your research to CAIS 2026 — the premier venue for rigorous, reproducible research on compound ai architectures, optimization, and deployment.
DoubleTree by Hilton San Jose
2050 Gateway Place, San Jose, CA 95110
Complimentary shuttle to/from San Jose International Airport (SJC) • Discounted parking $10/day
Group Rate: $159/night + tax
Book HotelWhat is CAIS?
A high-signal forum for rigorous, reproducible research on agentic and AI systems—architectures that shift the Pareto frontier through principled composition of multiple system components, smart inference-time scaling strategies, and systematic verification methods for reliable deployment.
Architectural Patterns & Composition
Networks of Networks and inference-time scaling architectures. Verifier-based systems leveraging generation/verification asymmetry. RAG, multi-agent, and tool-augmented designs.
System Optimization & Efficiency
End-to-end optimization of non-differentiable pipelines. Cost-performance trade-offs, resource allocation across components, and automated architecture search for compound systems at scale.
Engineering & Operations
MLOps for compound AI. Monitoring, debugging, observability, and specifications. Security and safety in multi-component systems. Production deployment case studies.
Evaluation & Benchmarking
Metrics for compound system performance. Reproducibility frameworks and artifact standards. Comparative evaluation methodologies and real-world impact assessment.
Conference Leadership
CAIS is guided by leading researchers who defined the compound AI systems paradigm—scholars and practitioners from MIT, Stanford, Google DeepMind, Microsoft Research, and beyond.
Steering Committee
Organizing Committee
Conference Program
Four days of cutting-edge research presentations, hands-on tutorials, and community building—May 26–29, 2026 in San Jose.
Research Track
Peer-reviewed papers on architectural patterns, optimization, engineering, and evaluation of agentic AI systems. Includes keynotes, plenaries, and poster sessions.
Get CFP UpdatesTutorials & Workshops
Deep dives into practical methods and frameworks such as DSPy, LangChain, and more tools for building compound AI systems at scale.
View Workshop DetailsArtifact-Centric Review with Reproducibility Badges
CAIS emphasizes open artifacts, transparent evaluation, and benchmarking standards. We adopt ACM's reproducibility badging taxonomy to recognize high-quality, deployable research.
Be part of the inaugural CAIS
Submission timeline and important dates available in the Call for Papers.
Become a Sponsor
Support the inaugural ACM conference on compound AI systems. Sponsorship opportunities available for organizations committed to advancing AI research.