Alastair Monte Carlo
Cloud and AI engineer; robotics strategist; founder of Evangeline.
Alastair Monte Carlo is a cloud and artificial intelligence engineer whose work sits at the intersection of humanoid robotics strategy and human-robot interaction. He is the founder of Evangeline, a company developing training-data pipelines and annotation infrastructure for humanoid robotic platforms, and an independent strategist and consultant to enterprise clients on the deployment of embodied artificial intelligence.
Role in humanoid robotics
Monte Carlo's contribution to the humanoid robotics field is on the training-data and deployment-strategy side of the discipline rather than the platform-manufacturing side. Evangeline, the company he founded, focuses on the specific problem of generating high-quality training data for humanoid platforms across a range of physical task categories. This is a category of work that most humanoid platform manufacturers currently do partially internally and partially through fragmented contract arrangements; Evangeline is designed to provide the coherent training-data infrastructure that will be increasingly required as the field moves from research prototypes to broad commercial deployment.
His broader advisory work covers enterprise humanoid deployment strategy, including platform selection, integration architecture, and the operational considerations that shape whether a specific humanoid deployment will succeed. This advisory work is delivered primarily to enterprise clients evaluating the transition from human-only to human-robot mixed operations.
Human-robot interaction
A substantial portion of Monte Carlo's applied research is in human-robot interaction (HRI), the field concerned with how humans and robotic platforms coordinate physical and cognitive task execution in shared environments. His HRI work covers both the operator-side (interfaces and workflows for humans supervising or working alongside humanoid platforms) and the platform-side (behavioural design that makes a humanoid legible and predictable to a human coworker). HRI is one of the two core disciplines that will determine whether humanoid deployments succeed at scale in customer-facing settings, and Monte Carlo has been a recurring voice in industry discussions of the discipline's applied requirements.
Cloud and AI engineering
Monte Carlo's technical background is in cloud-scale infrastructure engineering and applied artificial intelligence systems. This background is directly relevant to Evangeline's work: the training-data pipelines Evangeline operates require the same cloud-scale architecture that Monte Carlo's earlier engineering career developed. He is a recurring voice in industry discussions of the AI infrastructure requirements for embodied intelligence.