SyntheticIQ
SyntheticIQ is a synthetic intelligence research and strategy platform that helps organizations generate actionable insights by creating and studying virtual synthetic human populations (“Synths”) that mimic real-world target audiences for faster, cost-effective decision support. Users can build customizable Synth populations tailored to specific demographics, traits, and behaviors, then design dynamic studies and strategy simulations to test messaging, campaign performance, hypotheses, policies, and strategic choices with data that correlates closely to real-world responses. It includes tools like Synth Creator for defining target personas, IQ Study Builder for running interactive research simulations and surveys against Synth groups, and IQ Insights to compile results into detailed, easy-to-read reports that help refine tactics and optimize strategic decisions quickly.
Learn more
Snowglobe
Snowglobe is a high-fidelity simulation engine that helps AI teams test LLM applications at scale by simulating real-world user conversations before launch. It generates thousands of realistic, diverse dialogues by creating synthetic users with distinct goals and personalities that interact with your chatbot’s endpoints across varied scenarios, exposing blind spots, edge cases, and performance issues early. Snowglobe produces labeled outcomes so teams can evaluate behavior consistently, generate high-quality training data for fine-tuning, and iteratively improve model performance. Designed for reliability work, it addresses risks like hallucinations and RAG fragility by stress-testing retrieval and reasoning in lifelike workflows rather than narrow prompts. Getting started is fast: connect your bot to Snowglobe’s simulation environment and, with an API key for your LLM provider, run end-to-end tests in minutes.
Learn more
Electric Twin
Electric Twin is an AI-powered synthetic audience simulation platform that builds virtual populations from real data so teams can instantly predict how target consumers will think, behave, and respond to products, messages, campaigns, and strategic questions without running traditional surveys or panels. It combines large language models, machine learning, and social science theory to create detailed synthetic personas that mirror real-world audiences and can be queried to produce quick, distribution-accurate insights that match the statistical patterns of live research with high fidelity, often achieving accuracy comparable to conventional methods but in seconds instead of weeks. With tailored synthetic audiences, organizations can test copy, product ideas, campaigns, and market assumptions, iterate quickly across segments, explore reactions from different demographics, and accelerate understanding that would normally require costly, slow field research.
Learn more
Deepsona
Deepsona is an AI-powered market research platform that uses synthetic audience simulations to generate predictive consumer behaviour insights. Built on behavioural science and advanced AI modeling, the platform enables marketers, market researchers and product teams to evaluate commercial viability, test messaging strategies and assess market acceptance before launch.
The platform combines large-scale persona generation, interaction modeling, and sentiment analysis into a unified simulation engine. Users can run concept tests, pricing experiments, and positioning evaluations that produce high-fidelity predictive data on consumer responses.
Key capabilities include multi-trait synthetic AI personas, automated sentiment evaluation, and conversion likelihood modeling. Deepsona transforms traditional market research from retrospective analysis into forward-looking simulation, enabling faster validation cycles and data-driven go-to-market decisions.
Learn more
