AI system that learns enterprise workflows to automate coordination
Standard Template Labs is a 2025-founded startup in New York building AI-native systems to understand and automate enterprise work. The stack is heavily weighted toward LLM tooling (Claude, GPT, RAG, PyTorch, TensorFlow) paired with modern infrastructure (Postgres, Kubernetes, AWS/GCP/Azure), and the company is actively adopting Cursor and Windsurf — both AI-native code editors — which signals engineering velocity around LLM-driven development. The hiring profile is senior-heavy (9 of 15 open roles at senior level or above) and engineering-focused (12 of 15), consistent with their project list of graph data architecture, AI reasoning pipelines, and enterprise workflow embedding.
Standard Template Labs builds systems that learn how enterprise organizations work and use that understanding to reduce manual coordination. The company targets enterprise customers with scalable services designed to handle high-throughput inference and AI-native architectures. Current project focus spans internal tooling, onboarding/migration infrastructure, embedding LLMs into workflows, and developing reasoning pipelines. The team is based in New York and currently operating at 11–50 employees with acceleration in hiring across engineering roles.
Claude, GPT, PyTorch, TensorFlow, and RAG. The company is actively adopting Cursor and Windsurf for AI-assisted development.
Multi-cloud: AWS, GCP, and Azure. Backend uses PostgreSQL, MySQL, Kubernetes, Docker, and Terraform for infrastructure-as-code.
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