E-commerce platforms and online marketplaces depend on trust between buyers, sellers, and the platform itself, where every transaction, listing, and interaction must be authentic. As AI-generated content and synthetic identities become more advanced, these platforms face growing risks from fake sellers, fraudulent listings, and manipulated product data. RealityChek introduces a verification layer that ensures the authenticity of users, products, and transactions, helping marketplaces maintain credibility and deliver a secure shopping experience at scale.
Fraud in ecommerce has evolved beyond simple scams into highly sophisticated, AI-driven operations. Automated bots can create fake storefronts, generate convincing product descriptions, and manipulate pricing or inventory signals. At the same time, synthetic reviews and ratings can distort purchasing decisions and undermine trust in the platform. RealityChek’s detection capabilities analyze behavioral patterns, content authenticity, and transaction anomalies in real time, identifying fraudulent activity before it impacts customers or damages brand reputation.
Seller and buyer identity verification is a critical challenge, particularly in global marketplaces with diverse participants. AI-generated identities and deepfake verification attempts can bypass traditional onboarding processes, allowing bad actors to enter the ecosystem. RealityChek continuously validates identity throughout the lifecycle of both buyers and sellers, ensuring that participants remain consistent and legitimate over time. This reduces the risk of account takeovers, fraudulent transactions, and unauthorized access to platform services.
Operational performance in ecommerce relies heavily on accurate data—demand signals, pricing models, logistics tracking, and customer feedback. AI-driven manipulation of these data points can lead to distorted analytics, inefficient supply chain decisions, and lost revenue opportunities. By embedding detection directly into transaction and communication layers, RealityChek ensures that the data driving these systems is genuine. This enables marketplaces to optimize operations, improve recommendations, and maintain reliable performance metrics.
As ecommerce platforms expand into AI-powered personalization, automated fulfillment, and global digital trade, the complexity of their ecosystems continues to grow. Ensuring resilience requires more than traditional fraud prevention—it demands a continuous verification framework that adapts to evolving threats. RealityChek provides this “truth layer,” integrating AI detection, identity validation, and fraud prevention into a unified system that allows marketplaces to scale securely while maintaining trust, safety, and operational integrity.
A unified truth and identity layer—integrating the most advanced detection models to secure enterprise transactions.
We analyze text, images, video, and voice to determine whether content is AI-generated, altered, or authentic. Using advanced forensic models and signal analysis, we identify manipulation before it enters decision-making systems—reducing exposure to misinformation, fraud, and reputational risk.
We verify who or what is behind every interaction, combining device signals, behavioral patterns, and contextual data to establish identity confidence. Each entity is assigned a dynamic trust score, enabling real-time risk assessment across users, partners, and systems.
We design frameworks that structure raw data into clear, predictive signals. From KPI mapping to real-time dashboards, every insight supports smarter, faster decisions.
We operate a multi-model decision engine, combining leading third-party detection systems with our own proprietary technology. This layered approach improves accuracy, reduces false positives, and continuously adapts as new AI models and attack vectors emerge.
We deliver our capabilities through APIs, SDKs, and native integrations, embedding directly into enterprise products and workflows. From onboarding to moderation to internal operations, we bring truth verification into the core of how systems operate.
We make truth visible and actionable by applying clear, persistent labels to content and identities. Each label is backed by attribution data and confidence signals, enabling users, platforms, and regulators to instantly understand what is real, synthetic, or unverified.
We maintain a comprehensive, tamper-resistant record of detections, identity validations, and transaction decisions. This creates a verifiable audit trail that supports regulatory compliance, internal governance, and forensic analysis in AI-driven environments.
We're in Beta and hand-picking partners to shape what comes next. If you are interested in early access, enterprise integration, or exploring our AI verification and identity infrastructure, please contact us, tell us your needs, and we'll build a solution for you.