What We Build
The engine behind every Wortya platform.
Wortya AI Lab develops four families of AI infrastructure, built and matured inside the Lab, deployed across PopMe, Wokpy, and Wortya Studio. These are layers of trust, cognition, personality, and orchestration, designed to make every Wortya product safer, smarter, and more human.
Module 01 Validated Methodology
Synthetic Populations
Census-grounded synthetic populations, designed to simulate audiences with more rigor before validation with real people.
Our 6-step methodology combines universe definition, 70/30 distribution, 4-layer profiles, OCEAN, RAG training, archetype clustering, and 5-test validation.
Structured to operate across 3 countries, 6 models, and 11,000 interviews, the foundation makes it possible to compare patterns, reduce simulation biases, and support hypotheses with more consistency.
76% variance · Identity-Operation 3 countries · US/BR/PE
Module 02 Across Wortya Platforms
Cognitive Twin Engine
Centaur-inspired cognitive architecture, built to support the different types of twins within the Wortya ecosystem.
The engine combines unified Cognitive Encoding with a technical pipeline that connects Event, OCEAN Loader, Encoder, Store, Retriever, and Agent. Retrieval happens via pgvector, allowing each twin to access context, memory, and behavioral signals in a structured way.
The engine evolves along a 3-phase roadmap: heuristic, LLM, and LoRA fine-tuning, advancing from interpretable rules to more adaptive, behavior-calibrated models.
Based on Centaur · Nature 2025 pgvector RAG
Module 03 Ethically Reviewed
OCEAN Personality Layer
A personality layer based on the Big Five, used to represent differences in profile, motivation, reaction, and decision-making across synthetic simulations.
The methodology treats openness, conscientiousness, extraversion, agreeableness, and neuroticism as the primary personality layer. These traits help calibrate how different twins interpret stimuli, respond to scenarios, and express preferences.
The layer includes bidirectional slider mapping, per-twin-type sources, ethical compliance, protection against misuse, and non-WEIRD mitigation by default.
OCEAN · Big Five Non-WEIRD calibrated
Module 04 Vendor-Agnostic
Provider Abstraction Layer
Multi-provider infrastructure used by Wortya AI Lab to run different AI models without locking the ecosystem to a single vendor.
The layer brings together a unified LLM Gateway, a Smart Router to select the best model per task, a Storage Connector, and per-organization provider configuration.
It supports Anthropic, OpenAI, Google, Azure, and local models, allowing each Wortya platform to choose the best balance of performance, cost, security, and use context, with no vendor lock-in by design.
Multi-provider Smart Router
