Emotion Machine provides a platform for building AI characters with persistent personalities, memory, and integrated voice capabilities. Users can design and manage these agents via a dashboard or API, enabling real‑time, low‑latency conversations and automated phone calls that return structured transcripts and data.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses and developers struggle to create conversational AI agents that maintain consistent personalities, remember user-specific information, and perform real-world tasks like phone calls without extensive engineering effort.
Solution
Emotion Machine offers a platform that lets creators build AI characters with persistent identities, customizable memory architectures, and integrated voice capabilities. Users can design and adjust personalities, profiles, and behaviors through an intuitive dashboard or API, enabling real-time, low‑latency interactions. The system assembles relevant context on each turn, preserving long‑term relationships across sessions. Additionally, the Dialog Machine component automates phone calls, using cloned or preset voices to converse with humans and return structured transcripts and data. Together, these tools reduce the complexity of developing sophisticated, relationship‑driven conversational experiences.
Target Audience
Primary customers are product managers, designers, and developers building conversational interfaces for consumer apps, enterprise services, or AI agents that require persistent user relationships and voice‑enabled automation.
Features
- Dashboard for designing AI characters, tweaking personality prompts, voice, and behavior parameters without code
- Persistent relationship management that stores per‑user memory, profiles, and conversation history across sessions
- Multiple memory modes including vector‑based semantic search and LLM‑managed scratchpad for selective recall
- Knowledge‑base integration allowing characters to retrieve and ground responses in proprietary documents (PDFs, FAQs, etc.)
- Behavior engine that triggers actions on keywords, schedules, sentiment changes, or idle time, with support for pre‑ and post‑LLM processing
- Tool‑calling via OpenAPI specs enabling real‑time access to external systems (e.g., account lookups, database queries)
- Dialog Machine service that clones voices, places outbound calls, navigates IVR and human interactions, and returns transcripts, summaries, and extracted structured data
- Real‑time speech‑to‑speech model delivering natural, full‑duplex voice conversations with minimal latency