SOYL — Story Of Your Life
Multimodal emotion intelligence and adaptive agents for modern commerce.
Our R&D Journey
From foundation MVP to productization — explore our phased development approach
What SOYL Does
Emotion-aware AI that understands context and adapts in real-time
Emotion Sensing
Real-time face, voice and text emotion detection for richer context.
Cognitive Signal Layer
Fuse multimodal signals into a unified Emotion State Vector.
Adaptive Sales Agent
LLM-driven agents that adapt tone & suggestions based on affect.
Why Choose SOYL?
Built with privacy, performance, and developer experience in mind
Privacy-first emotion pipeline
On-device inference options ensure sensitive emotion data never leaves user devices.
SDK & API for integration
Easy-to-integrate RESTful API and SDK for seamless emotion detection across platforms.
Multimodal emotion fusion
Combines face, voice, and text signals into a unified Emotion State Vector for richer context.
Real-time adaptive responses
AI agents that dynamically adjust tone and recommendations based on detected emotion states.
How it works
Detect
Camera, microphone, and text input capture multimodal signals
Understand
Fuse signals into unified Emotion State Vector
Act
Adaptive Sales Agent responds with context-aware suggestions
Product & Features
Emotion API
RESTful API for real-time emotion detection across modalities.
// Example API call
const response = await fetch('https://api.soyl.ai/v1/emotion', {
method: 'POST',
headers: { 'Authorization': 'Bearer YOUR_API_KEY' },
body: JSON.stringify({
audio: audioData,
video: videoData,
text: userInput
})
});
const { emotion, confidence } = await response.json();On-device Inference
Privacy-first emotion detection running locally on edge devices.
import { EmotionDetector } from '@soyl/sdk';
const detector = new EmotionDetector();
const result = await detector.detect({
audio: audioBuffer,
video: videoFrame
});AR Commerce Integration
Seamless integration with AR shopping experiences and virtual try-ons.
// AR integration example
import { ARAgent } from '@soyl/sdk-ar';
const agent = new ARAgent();
agent.onEmotionChange((emotion) => {
updateProductRecommendation(emotion);
});Dialogue Manager
Context-aware conversation management with emotion-driven responses.
// Dialogue management
const dialogue = new DialogueManager({
emotionWeight: 0.3,
contextWindow: 10
});
const response = await dialogue.generate({
userMessage: message,
detectedEmotion: emotionState
});First Impressions
What Our Users Say
Real feedback from developers and teams using SOYL
“The emotion-aware capabilities are genuinely impressive. It's clear this technology understands context in a way that goes beyond surface-level interactions. We're seeing tangible improvements in engagement metrics.”
Anonymous
Tech Executive, Enterprise Client
Use Cases
Emotion-aware AI for modern commerce across industries
Retail AR Commerce
In-store AR assistants that adapt recommendations based on customer emotion
Kiosk Systems
Interactive kiosks with emotion-aware product suggestions and support
Remote Sales
Virtual sales assistants that read cues and personalize the conversation
Support Triage
Customer support that prioritizes and routes based on emotional state
SOYL R&D Roadmap
Our staged R&D roadmap moves from a feasibility MVP (real-time emotion sensing + AR demo) to a unified affect foundation model and commercial SDK for B2B licensing. Key milestone: functional adaptive AI salesperson within 12 months; foundation model in 18–24 months.
Foundation MVP: Real-time emotion sensing + AR demo
Cognitive Signal Layer: Unified Emotion State Vector
Agentic Layer: Adaptive AI salesperson
Trust & Compliance
GDPR-Ready Pipeline
Compliant data processing and storage
Opt-in Consent
Clear consent flows before data capture
Privacy-First
On-device inference options available
Ready to Transform Customer Interactions?
Request a pilot and see how emotion-aware AI can elevate your sales and customer experience.
Request a pilot