Ema

Ema provides a universal AI employee platform that deploys pre-built AI agents to automate enterprise business processes across HR, IT, and Finance functions. The platform enables organizations to conversationally activate new AI employees that execute complex workflows and integrate with various applications through over 1,000 prebuilt connectors. Ema AI Employees automate busy work across the full hire-to-retire journey including recruiting, onboarding, benefits management, performance reviews, IT support, and payroll processing. The platform is built on four core capabilities: Build, which transforms plain-language intent into working AI employees in minutes; Optimize, which provides continuous analysis and auto-refinement so performance compounds over time; Personalize, which grounds agents in enterprise context rather than generic templates; and Scale, engineered for thousands of workflows and millions of runs. Ema features EmaFusion technology that combines over 100 AI models in real time, fusing the best models for each task to achieve superior accuracy at up to 20x lower cost than any single model, with automatic failover if one model experiences an outage. The platform includes built-in data governance with PII detection and redaction, RBAC/ABAC permission levels from organization to individual action, immutable audit trails for every agent decision, and configurable human-in-the-loop approval chains. Ema supports on-premise and air-gapped deployment and is SOC 2 Type II, ISO 42001, ISO 27001, EU AI Act, and GDPR compliant. Founded in 2023 and headquartered in Mountain View, California, Ema has raised approximately $61 million in Series A funding from investors including Accel, Prosus, S32, Wipro, Venture Highway, AME Cloud Ventures, Sozo Ventures, Hitachi Ventures, and SCB 10X.