Ema builds a platform for deploying autonomous AI agents across enterprise functions like HR, finance, support and legal. Its stack spans Kubernetes on GCP, Azure and AWS with Go, gRPC and a service mesh (Istio, Linkerd), a multi-cloud footprint that fits its on-prem and data-residency pitch. Accelerating, senior-heavy hiring split between engineering and sales, plus projects in real-time voice pipelines, points to a push into voice agents and partner-led growth.
Notable leadership hires: Chief of Staff
Ema, founded in 2023 and headquartered in San Francisco, offers an enterprise platform for building and running AI agents that automate work across business functions including HR, finance, sales, customer support and legal. The platform combines a layer that routes queries across many large language models, a workflow orchestration engine with human-in-the-loop controls, and a permissioned context graph over company data. It supports on-premises and air-gapped deployment and holds certifications including ISO 42001, SOC 2 Type II, ISO 27001 and HIPAA. Ema is privately held with 51-200 employees and hires in the United States, India and Canada.
Ema runs Kubernetes across GCP, Azure and AWS, with Go, Python, gRPC, Istio and Linkerd, Terraform, Helm and ArgoCD for delivery, Prometheus, Grafana and OpenTelemetry for observability, and PyTorch and TensorFlow for ML.
Yes. Engineering is Ema's largest hiring area, skewed toward senior roles, with sales as the second focus. Hiring is accelerating across the United States, India and Canada.
Ema's job posts point to a code-generation system, real-time voice pipelines and agent QA, moving POCs into production, multi-cloud Kubernetes microservices, and a multi-year ML roadmap for GenAI infrastructure.
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Ema's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
