Bottr vs SEPIA

Bottr describes itself as an AI operating system for organizations building agents for specific use cases. Its catalog lists 100+ agents across 15 categories, including customer support, document processing, finance, HR, IT, compliance, healthcare and banking. Teams can select agents, connect shared resources and data, and configure deployments; Bottr says production deployment can take under 30 minutes. A no-code visual editor, REST API and embed widget are available, with role-based access controls and audit logs. The platform lists GPT, Claude, Gemini, Llama, Kimi and DeepSeek, with model switching per agent and support for users' own keys. Deployment options include cloud, VPC or private environments, on-premise and air-gapped setups. Bottr lists 100+ integrations, including Salesforce, SAP, Zendesk, Slack, HubSpot, Jira, ServiceNow and Microsoft 365. Its support offering includes ongoing optimization, accuracy tuning, agent rollouts and a support channel. The Free tier and Bottr Unlimited are each listed at free; Unlimited is subject to a Fair Usage Policy. Bottr cautions that AI output may be inaccurate and recommends evaluation, including human review where appropriate.

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.