Spiritify.AI provides a cloud‑based AIoT platform that centralizes data, models, and workflow orchestration for enterprise‑scale robotic assistants. The platform enables edge‑AI and hybrid processing for low‑latency perception, speech, and emotion detection while offering built‑in privacy, governance, and security controls for compliant deployments across senior care, hospitality, retail, and education.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises and service providers often lack a unified infrastructure to manage multiple AI-driven robotic assistants, leading to fragmented deployments, inconsistent user experiences, and challenges in maintaining data security and compliance across devices.
Solution
Spiritify.AI offers an enterprise AI brain platform that centralizes data, models, and workflow orchestration for AI robots at scale. The cloud‑based AIoT platform enables any terminal device to perceive, reason, and act through integrated modules for speech, vision, emotion detection, and memory. Organizations can deploy empathy‑driven robots—such as senior‑care companions, hospitality concierges, and educational tutors—while retaining control over data privacy, governance, and end‑to‑end security. The platform supports hybrid edge‑AI and cloud processing, allowing real‑time interactions and continuous model updates without exposing sensitive information. Developers can customize knowledge bases, language support, and behavior scripts through a unified orchestration layer, simplifying large‑scale rollout and ongoing management.
Target Audience
Primary customers are enterprises in senior care, hospitality, retail, and education that require scalable, empathetic AI robot assistants, as well as technology partners seeking a centralized AIoT platform for multi‑device AI deployments.
Features
- Central AI brain that unifies model storage, data pipelines, and workflow orchestration for all connected robots
- Edge‑AI and hybrid processing to deliver low‑latency perception, speech synthesis, and emotion recognition on device
- Built‑in data privacy, governance, and end‑to‑end security controls for compliant enterprise deployments
- Multi‑modal capabilities: voice (140+ languages, 1,200+ voice characters), vision, memory ball, and affective sensing
- Agentic AI workflow automation enabling robots to act autonomously based on contextual cues and user interactions
- Customizable knowledge bases and fine‑tuned AI models for specific industries such as senior care, hospitality, and education
- OTA (over‑the‑air) updates for continuous improvement of robot behavior and AI models