Articos is an AI-powered user research platform that replaces participant recruitment with synthetic personas built on behavioral science. You define a research goal, pick a target audience, and the platform runs AI-moderated interviews that surface motivations, objections, and clarity issues in under 30 minutes. Product managers, founders, UX designers, and marketing teams use it to validate ideas, test landing pages, and stress-test messaging without waiting weeks for traditional research to close.

• Synthetic Persona Interviews: Runs simulated interviews with AI-generated participants modeled on Big Five personality facets and cognitive biases, so you get skeptics and late adopters, not just fans.
• Structured AI-Moderated Sessions: The AI adapts follow-up questions based on persona responses and uses an internal judge to score answers, discarding weak ones to keep quality high.
• Sycophancy Prevention: Personas can't see your hypothesis before responding, which cuts the confirmation bias that plagues quick concept tests.
• Landing Page & Messaging Tests: Upload copy, headlines, or value propositions and get structured audience reactions in minutes instead of weeks.
• Evidence-Backed Reports: Every finding links to persona quotes with confidence scores, and reports export to PDF with white-label support.
• Multiple Research Types: Supports concept validation, A/B testing, feature prioritization, pricing exploration, and competitive analysis.
• Template Library: Pre-built research templates across 37 industries and 69 countries help you start faster.
• Fast Turnaround: Most studies deliver a full synthesis in under 30 minutes vs. 2-3 weeks for traditional recruitment.

• Fast Research Results: Studies that used to take weeks finish in under an hour, making research practical for two-week sprint cycles.
• Bias-Aware Design: Enforced stance diversity and hidden hypotheses reduce the confirmation bias common in quick concept tests.
• Defensible Output: Evidence chains and confidence scores make reports easier to defend in stakeholder meetings.
• No Recruitment Overhead: No incentives, no no-shows, no scheduling, which removes the biggest friction points of traditional research.
• Easy to Share: Export professional reports that can be presented to clients, investors, and internal teams.

• Not a Replacement for Real Users: Deep usability work, longitudinal studies, and observed behavior still require actual human participants.
• Synthetic Personas Have Limits: AI-generated participants can't capture unexpected real-world behaviors or cultural nuances that only real users produce.
• Learning Curve for Research Novices: Getting useful output still depends on defining sharp research goals and picking the right audience segments.

• Pre-Launch Concept Validation: A founder tests a new product idea against synthetic personas before writing code, catching objections and clarity issues that would otherwise surface after launch.
• Landing Page Optimization: A growth marketer uploads two headline variations and gets structured reactions from target personas in 30 minutes, informing paid traffic tests before spending on ads.
• Feature Prioritization: A product manager runs interviews across customer segments to see which proposed features resonate with skeptics vs. enthusiasts, informing the next quarter's roadmap.
• Messaging & Positioning Tests: A SaaS team stress-tests a new value proposition against different buyer personas, identifying which phrases confuse prospects and which drive interest.
• Pricing Exploration: A startup tests reactions to different pricing tiers with synthetic personas representing target segments, gathering directional signals before committing to a public price.
• Agency Client Deliverables: Consultants run research studies at low cost, then package white-labeled PDF reports for clients as part of larger strategy engagements.