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.
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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.
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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.
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TheySaid
TheySaid is an AI-powered user research and product validation platform that helps organizations collect customer feedback, test digital experiences, and improve product decisions. The software combines AI-moderated usability testing, customer interviews, surveys, polls, and adaptive forms within a centralized research environment. Its synthetic user testing capabilities simulate customer interactions using AI personas trained on real usability research and customized with an organization's customer data. TheySaid records user interactions, analyzes spoken feedback, identifies usability problems, and generates actionable recommendations for product improvements. The platform integrates with development and design tools such as Cursor, Claude Code, Lovable, Replit, Jira, and Linear to incorporate customer validation into existing workflows.
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