Terapage pushes synthetic data into user research

By AI, Created 4:19 PM UTC, May 18, 2026, /AGP/ – Terapage says its AI-driven research platform now uses synthetic data to speed up user research, reduce costs and help teams test ideas without exposing sensitive information. The pitch comes as Gartner projects broad adoption of generative AI for synthetic customer data by 2026 and a fast-growing market for the technology.

Why it matters: - Terapage is targeting a core bottleneck in user research: slow turnaround times, high costs and privacy limits. - The platform aims to let teams test concepts earlier, make faster decisions and reduce the risk of committing budget to weak ideas. - The approach matters most for companies that need research across multiple markets and under strict privacy rules.

What happened: - Terapage said it is integrating synthetic data technology into its AI-driven market research platform. - The company framed the move as a response to pressure on organisations to make quicker and smarter decisions. - The platform is designed to generate realistic, privacy-compliant data at scale. - Gartner projects that 75% of businesses will use generative AI to create synthetic customer data by 2026. - Gartner also forecasts the global synthetic data market will reach $2.1 billion by 2028, growing at a 45.7% CAGR.

The details: - Terapage says synthetic data helps research teams validate concepts, refine messaging and identify weak ideas before full-scale studies. - The platform’s synthetic persona engine creates participants based on real-world behavioural simulations. - Terapage says that approach is meant to produce responses that are realistic and meaningful, not arbitrary. - The platform is positioned for use across North America, Europe and emerging markets. - Terapage says its workflow supports privacy compliance with GDPR in Europe and CCPA in California. - The platform is built to let researchers scale studies on demand, change variables during research and rerun experiments without traditional budget penalties. - Supported activities include automated interviews, live group chats, journal activities, polls, surveys, image review, audio tasks, video tasks and matrix exercises. - Terapage says researchers can simulate diverse populations across North America, Europe, Asia and the Middle East. - The synthetic data setup is intended to reflect regional behavior, cultural nuances and market dynamics.

Between the lines: - Terapage is positioning synthetic data not as a replacement for research, but as a faster way to generate early signal and keep testing going. - The emphasis on privacy suggests the company is aiming at regulated sectors and cross-border teams that cannot easily rely on live participant data. - The pitch also reflects a broader shift in research toward always-on, AI-assisted workflows rather than one-off studies.

What’s next: - Terapage appears to be leaning into continued use of synthetic communities, branded discussion spaces and recurring experimentation. - The company says its Synthetic Community feature supports organized topics, threaded discussions and real-time engagement tracking. - Terapage says the feature is built to deliver continuous insight generation through AI participants that mimic real-user behavior. - The company says its synthetic data tools are already being used in healthcare, financial services, consumer goods and technology. - In healthcare, Terapage says synthetic data can support secure research without compromising patient privacy. - In financial services, Terapage says fraud detection models can be trained on synthetic datasets before real-world deployment. - For consumer brands, Terapage says behavioral simulations can reveal purchasing patterns and preferences that inform marketing strategies.

The bottom line: - Terapage is betting that synthetic data will make user research faster, cheaper and easier to scale without sacrificing insight quality.