# StrataSynth

StrataSynth generates **synthetic datasets with structured psychological and social dynamics**.

Unlike traditional LLM-generated dialogue datasets, StrataSynth models internal cognitive state before generating language.

Our engine separates cognition from language:

PsycheGraph → identity model  
Belief Engine → evolving beliefs  
Relationship State → trust, tension, connection  
Decision Engine → conversational intent  
LLM Rendering → natural language

This produces datasets with **explicit belief evolution and relationship trajectories**.

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## Datasets

We publish datasets focused on:

- belief dynamics
- social reasoning
- conversational conflict
- agent stress testing

Current datasets:

- `stratasynth-belief-dynamics`
- `stratasynth-social-reasoning`
- `stratasynth-agent-stress-test`

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## Why structured synthetic data?

Most dialogue datasets only contain text.

StrataSynth datasets include:

- belief_state
- belief_updates
- relationship_state
- intent
- communication_act
- conversation trajectory

This allows research in:

- AI alignment
- social reasoning models
- agent evaluation
- belief tracking
- multi-agent systems

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## Links

Website  
https://stratasynth.com

Platform  
https://app.stratasynth.com

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## Example turn

Speaker A  
"I’m not upset about the meeting. I’m upset that you didn’t tell me earlier."

intent: reveal  
goal: seek_validation  

belief_update:
trust_other: -0.07

relationship_state:
trust: 0.62  
tension: 0.44