Kore.ai vs SEPIA

Kore.ai builds and governs AI agents and workflows for enterprise use. Agent Studio supports visual and code-based authoring of agents, workflows, and tools in one workspace. Its Arch feature can turn a plain-language intent into a proposed system with agents, workflows, tools, policies, and handoffs. Agent Blueprint Language provides structured definitions for agent behavior, tools, guardrails, orchestration, and handoffs, with policies enforced outside the language model. The platform automates multi-step work across agents, people, tools, and systems, with configurable autonomy and oversight. Agents can be deployed across voice, web, Slack, Teams, mobile, and other channels. Tracing covers agent runs across reasoning, tools, guardrails, handoffs, and outcomes; evaluation supports testing quality, safety, and accuracy before and after deployment. The marketplace lists more than 300 integrations, including Microsoft A365, Salesforce, HubSpot, Jira, and GitHub. Deployment options include public-cloud multi-tenant SaaS, on-premises, and private-cloud dedicated VPC. The platform is presented for Global 2000 enterprises and sectors including banking, healthcare, insurance, retail, and global service operations.

SEPIA is an open-source framework and cross-platform app for building a customizable digital voice assistant with a self-hosted server. The server runs core functions such as the database, account management, natural-language understanding and chat. Users can make commands in the app, build voice-controlled services with the Java SDK or replace framework modules. SEPIA accepts spoken or typed requests and can ask follow-up questions when a service needs more detail. Documented services include news, radio, timers, alarms, reminders, to-do and shopping lists, smart home, navigation, weather, Wikipedia and web search. The documentation names openHAB as a smart-home integration, and SEPIA-Home v2.7.0 release notes add Home Assistant support. Speech recognition can use native platform APIs or a custom open-source STT server; text-to-speech can use native APIs or compatible server tools. Client use is described for desktop browsers, Android and iOS; iOS instructions use Safari and adding the app as a PWA. Server guidance covers Windows, Mac, Linux and Raspberry Pi. SEPIA says users control their data in a self-hosted environment, but it does not currently host public servers, so users need access to their own server or one provided by someone else.