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R&D engine for AI personas

AI personas that understand how people feel

A persona engine with emotional intelligence, memory, and an NLP scenario layer. Any vertical, any channel via API.

Not a chatbot — a chat-persona engine with emotional intelligence.

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BonnieBonnie ⚓️

Built on the Synchatica engine

Bonnie — a companion with personality and memory.

Chat by text or voice, pick up earlier conversations and get help with research, documents and everyday tasks.

Chat with BonnieAbout Bonnie

Start free in your browser. No account needed for your first messages.

01 · Engine layers

What templated bots don’t have

Three layers a templated bot doesn’t have: emotion, memory, and NLP scenarios — they turn a script into a persona.

Templated bot

One tone for everyone

  • Templated tone
  • Reactive replies

Synchatica

Rhythm adapts to the user

  • Tone tracks emotion
  • Confidence per-message

02 · Ematory Engine

Engine architecture

The ingress changes — the core stays the same. Telegram, web chat, voice, or custom API: no branching logic.

01 · Telegram · API · voice

Channel ingress

Any channel through one adapter. Telegram as the R&D polygon.

03 · Emotional Signal Layer

Emotional rhythm of dialogue

Tone, empathy, confidence — adaptive signals that shift on their own, tracking how the person talks to the persona, and shape the style of every reply in real time. The live demo shows them on the engine-state panel.

Tone51%
Empathy73%
Confidence32%
Style guideline · Joy

Warm, light tone. Short phrases, exclamations welcome, persona leads the dialogue.

Tempofast
Lengthshort
Escalationlow
Emojiok

8 Plutchik primaries — each drives its own response style guideline.

04 · Live actions

The persona doesn’t just talk — it acts

On top of the dialogue the persona has a toolbelt: it decides on its own when to remind, remember, react, or reach out first. Pick an action and see how it plays out in chat.

Tap an action

05 · Verticals

Where the engine is deployed

One engine, several configured profiles per task: persona, memory, scenarios, and emotion tuned to the vertical.

01

Dating

Romantic tone, relationships as a memory variable.

  • Personaromantic archetype
  • Memorydating history
  • Scenariosice-breaker → closeness
  • Emotionhigh empathy
02

Support

First-line with empathy and human handoff.

  • Personaexpert + caregiver
  • Memoryticket history
  • Scenariostriage → handoff
  • KBRAG over docs
03

AI companion

Long-running companion that remembers and grows.

  • Personashaped to the user
  • Memorylife facts
  • Scenariosrituals and check-ins
  • Emotiontracks state
04

Community

Facilitator inside group channels.

  • PersonaSage / Jester
  • Memorygroup + user_ids
  • Scenariosevents, retention
  • Moderationsafe-fallback
05

Concierge / VIP

Proactive concierge with CRM context.

  • Personaformal tone
  • MemoryCRM + orders
  • Scenariosproactive touchpoints
  • Handoffescalation

06 · Conversation API

Conversation in your application

Connect a persona through the Conversation API: send messages, define its role and retain conversation context for each user.

POST /api/v1/conversation

curl -X POST "https://<PRIVATE_DEPLOYMENT_URL>/api/v1/conversation" \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "user_id": "u_482",
    "message": "Help me pick a plan",
    "persona": { "archetypes": ["Sage"], "role": "Support assistant" }
  }'
Integration
Conversation API for your application
Conversation
Text, images and voice in one conversation
Memory
Separate dialogue context for each user
Persona
Role, character and tone for your use case
API documentationDiscuss deployment

07 · Impact

Metrics from R&D tests

Dialogue depth

×0.0

Replies per dialogue

Retention

+0%

Return rate

Time-to-resolution

−0%

Support with RAG

Persona consistency

0%

On long dialogues

08 · Capabilities

What Synchatica does

Character, memory and knowledge for conversations with your product’s users.

CapabilityHow it works
Persona characterRole, archetypes and temperament shape the persona’s voice and behaviour.
Tone of repliesThe persona’s state evolves during dialogue and influences the tone of replies.
Dialogue memoryConversation history and saved facts provide context when earlier topics come up.
Knowledge baseMaterials linked to your API key provide sources for answers on your subject.
Message formatsThe Conversation API accepts text, images and voice messages from your application.

09 · FAQ

Frequently asked questions

No. It is an R&D persona engine. A persona is assembled from four layers — emotional intelligence, multilevel memory, engagement mechanics, and an NLP scenario layer — and configured per vertical. We build personas, not chatbots.

Telegram is the R&D testing ground for validating hypotheses. The engine embeds into any channel through one Conversation API: web chat, voice, messengers, or your own client.

Dating, support, AI companions, community management, and concierge / VIP service. One core, different builds of persona, memory, and scenarios per task.

Tone, empathy, and confidence are adaptive signals based on the Plutchik wheel. They change on their own, tracking how the person communicates with the persona and their emotional state in real time, and shape the style of every reply. In the live demo the current state is shown on the panel next to the chat.

A single HTTP endpoint, POST /api/v1/conversation, accepts text, image, or voice and returns the persona reply with emotional-layer metadata. Memory is kept per user_id; the persona profile is set per API key.

Every rollout runs in a private deployment with its own base URL and isolated contour. Memory and dialogue history are isolated per user_id; a custom KB is attached through RAG at key level.

Let’s discuss deployment for your vertical

Tell us what you’re building — we’ll come back with how Synchatica maps onto your scenario.