Applied research.
Real systems
Annular Labs is a research and development lab. The work here spans applied AI, distributed systems, and experimental technology usually at the edges where those fields overlap and the existing playbooks stop being useful.
The lab is small and cross-disciplinary.
The problems we find interesting tend to resist specialization, and the best solutions tend to come from teams that can hold multiple frames at once. We publish research, release open-source tools, and build production systems.
Often the same project produces all three.
Driven by Curiosity and Hard Problems
We pursue original research across multiple disciplines at once, producing new methods, new tooling, and new understanding of how decentralized systems should work.
Protocols and developers.
Annular exposes a programmatic API. Any platform that needs UTXO-to-EVM bridging, cross-chain custody, or verifiable cross-chain state can integrate directly.
Individually verifiable validator signatures. Omnimerkle state that anyone can audit against the source chains directly.
Areas of Focus
Cross-disciplinary work spanning distributed systems, verification, cryptography, and applied AI
Infrastructure and Tooling
Developer and operator-facing systems for deployment, orchestration, observability, and diagnostics. Built for production use across decentralized networks.
Distributed Systems Research
Coordination, consensus, fault tolerance, and state management across decentralized networks. How these systems actually behave under load, partition, and adversarial input.
Applied Machine Learning
Using models for system monitoring, anomaly detection, automated analysis, and operational decision-making. Integrated into infrastructure, not studied in isolation.
Developing architecture for seamless bridging
Node orchestration. RPC systems. Indexing pipelines. Testing environments. Developer and operator interfaces.
UTXO and EVM state models. Transaction parallelism. Composability tradeoffs. Cross-architecture experimentation.
AI node health scoring. Peer connectivity analysis. Resource consumption prediction. Smart incident triage. Automated diagnostics.
Partnerships, integrations, and what comes next.
If you're working on hard problems in decentralized systems, we want to hear about it.