Designing multi-agent systems for enterprise reliability
What we've learned routing high-stakes work through cooperating agents, guardrails, observability, and graceful failure.
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Research & Insights
Notes from the Innovation Lab.
Engineering essays, applied research, and signals on the technologies shaping the next decade.
Adaptive retraining loops for fraud detection
How streaming feedback and active learning keep models honest as adversaries evolve.
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A practical framework for deploying generative AI in regulated industries
Evaluation, redaction, traceability, and the operational discipline regulated AI requires.
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Kubernetes patterns for AI workloads at scale
GPU scheduling, model warming, autoscaling, and the cost models that actually hold up.
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From data lake to lakehouse: an honest migration playbook
The migration we wish more teams talked about, including what we'd do differently.
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Quantum-ready architecture: what to do today
Pragmatic steps to position infrastructure for a post-classical compute world.
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