Lab Infrastructure

One foundation. Six products. And counting.

Every ZeldaLabs product shares the same foundation. Persona generation, multi model orchestration, simulation runtime, and evaluation pipelines, all built once and shared across everything. When we improve the persona engine, every survey in TownFolk gets more realistic. When we add a new LLM provider, every debate in TownHall gets more cognitively diverse. When we optimize the simulation runtime, every scenario in TownSquare runs faster.

This is the compounding advantage. We do not rebuild infrastructure for each product. We extend a shared platform that gets better with every iteration. Six products shipped in under five months. That speed is only possible because the foundation handles the hard problems once.

What the foundation includes

PersonaGen Engine

The six layer cognitive architecture that generates high fidelity synthetic personas. Over 150 psychometric dimensions per persona. Calibrated against published psychological norms. Trait distributions match real world population data. Each persona is unique, internally consistent, and psychologically grounded. PersonaGen is the subject of our first published research paper.

Multi-LLM Orchestration

Route agent reasoning across 9+ foundation models. Different personas reason through different models based on cognitive profile matching. Claude, GPT 4o, Gemini, Grok, Perplexity, and open source models via dedicated inference. The orchestration layer handles provider routing, cost optimization, and fallback logic. No single model bias. Genuine cognitive diversity.

Simulation Runtime

Real time multi agent execution with memory, state management, and emergent behavior detection. Agents remember previous interactions. They update their positions based on new information. They form relationships, alliances, and rivalries that persist across simulation rounds. The runtime handles thousands of concurrent agents without sacrificing behavioral fidelity.

Evaluation Pipeline

Automated coherence testing, distribution validation, and behavioral benchmarking for every simulation run. Every output includes confidence metrics. Every persona population ships with distributional fit reports. You always know how much to trust the results and where the limitations are.

For partners and researchers

Lab Partners can access the infrastructure layer directly. Build custom simulation workflows. Integrate with existing data pipelines. Extend persona models with domain specific parameters. White label the capabilities into your own products. The infrastructure is designed for extensibility because the next product we build might be the one you need, and we want you to be able to build it with us.

The compounding effect

Eighteen reusable components. Shared backend architecture. Shared multi-LLM orchestration. Every new product we build inherits everything that came before it. The infrastructure compounds. The shipping speed accelerates. What takes most teams months, we deliver in weeks, because we are not starting from zero. We are starting from everything we have already built.

Use Cases