Ema

Ema is an enterprise platform built around the idea of a Universal AI Employee, an agentic system that can take on many different roles inside an organization rather than serving a single function. Founded by former Google and Okta engineers, Ema is designed to morph into whatever a business needs, from customer support and employee experience to sales, data analysis, finance, and legal and compliance, working alongside human colleagues and completing tasks end to end instead of only answering questions.

Teams put Ema to work through a no-code platform. They can start from a library of pre-built AI employees for common roles, or create a specialized one by holding a guided conversation that defines the persona's goals, the resources it can use, and its constraints, a level of customization that previously required AI experts. Once configured, the agent can make decisions, build plans, and orchestrate workflows while collaborating with people at the right checkpoints.

Underneath sits Ema's Generative Workflow Engine, which is what makes the conversational setup work. Rather than following a hard-coded script, it interprets a request, decomposes it into smaller steps, and generates the workflow and orchestration to carry them out across multiple systems, adjusting as results come in. A customer inquiry, for instance, might be broken into reading the message, checking customer records, drafting a reply, routing it for approval, and sending it. Accuracy comes from a model layer the company calls EmaFusion, which blends many public language models with smaller domain-specific private models, and customers can plug in their own models trained on their data.

Ema is built to act inside the systems a company already runs, with pre-built connectors to hundreds of enterprise applications, an API, and the ability to read documents, logs, data, and policies for context and then take actions across tools like HR, ticketing, and collaboration platforms. Because it operates on sensitive enterprise data, it emphasizes governance: redacting sensitive information before it reaches public models, supporting on-premises and air-gapped deployment and private models, and carrying enterprise certifications including SOC 2, ISO 27001, HIPAA, and GDPR.