Single Core Labs

Building the infrastructure layer for AI-native companies, helping teams build, deploy, orchestrate, and operate production AI agents and models reliably at scale. Most companies treat AI agents like software features. We think they're closer to distributed systems—probabilistic, stateful, and dependent on multiple models, tools, memory, and external APIs. The hard problem isn't generating text; it's making these systems reliable enough to trust in production. As models become commoditised, the competitive advantage shifts to the infrastructure that lets teams deploy, monitor, debug, and improve agentic systems across different models and environments. Manav built multiple production AI systems across healthcare and enterprise software, including an AI-powered radiology platform that automated medical imaging workflows using multimodal AI. That experience of taking models from prototype to production with reliable infrastructure led directly to founding Single Core Labs. Foundation models have become good enough that companies are no longer asking "Can AI do this?" but "How do we deploy it safely and reliably?" Costs have fallen, open-source models are highly capable, and nearly every company is experimenting with AI agents. The bottleneck has shifted from model intelligence to production engineering, analogous to the cloud infrastructure transition that created Datadog, HashiCorp, and Snowflake.