Ema

Ema is a universal AI employee platform for large enterprises that want to automate employee-facing workflows across HR, IT, and finance without stitching together a dozen point tools. Its pitch is a single 'digital front door' — employees ask once, in Microsoft Teams, Slack, or by voice, and an AI employee handles the request across recruiting, onboarding, benefits, performance, payroll, and IT support. The work spans the full hire-to-retire journey rather than one slice of it. The engine underneath is EmaFusion™, which combines 100+ models in real time and fuses the best set for each task instead of defaulting to one. Ema claims that approach beats the best single model at up to 20× lower cost, and it adds fault tolerance: if a model slows or goes down, requests route elsewhere automatically. There is no lock-in to a single foundation model. On top of that sits the Generative Workflow Engine for building AI employees from plain-language intent, plus Ema Autopilot, a meta-agent introduced in 2026 that builds and manages other AI employees in production. Ema Recruiter, launched May 2026, is the flagship packaged agent and claims a 67% faster time-to-hire. Integration is the other half of the story: 250+ prebuilt integrations and 1,000+ prebuilt connectors into Workday, ServiceNow, SAP, Salesforce, and similar systems, with deployment measured in days rather than quarters, with or without engineers. Governance is not an add-on — SOC 2 Type II, ISO 42001, ISO 27001, ISO 27701, GDPR, EU AI Act, CSA STAR, and ISO 27017, plus RBAC/ABAC permissions down to individual actions, PII detection and redaction, immutable audit trails, configurable Human-in-the-Loop approvals, and on-prem or air-gapped deployment for regulated environments. Pricing is outcome-based — Ema explicitly markets against per-seat and per-token ('No tokenmaxxing') — and you can start a free trial, though a real rollout runs through a demo and sales conversation. Position it against point solutions