Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
RTScale positions itself as a “consent provenance layer”—evidence of the moment of consent for transaction records that are difficult to unwind. It does not claim to replace identity verification or traditional anti-fraud systems. Instead, it addresses a narrower evidentiary gap: when the account, device, and signature are all genuine, did the user authorize the action with sufficient understanding and without coercion?
At its core is the SoM Signature. On mobile, desktop, or in the browser, it runs a 3-second Quick Scan or a 30-second Deep Scan, collecting decomposed signals such as facial emotion, vocal prosody, and micro-expressions. These are then signed using hardware capabilities such as TPM 2.0, Secure Enclave, and StrongBox, and bound to the specific transaction. Raw frames do not leave the device. In the cloud, Trust Cortex combines state indicators, transaction intent, context, and institutional policies to produce explainable recommendations rather than black-box scores.
The website frames the product around regulatory concerns such as UK PSR PS24/7, FINRA 2165, SEC Reg BI, EU AI Act Article 14, and GDPR Article 17. It highlights dual-template audit reports, cryptographic erasure, human-readable indicators, and fairness objectives. Integration options include mobile SDKs, REST APIs, and a compliance console, with potential embedding into bank transfer authorization, wealth management CRMs, AI Agent SDKs, wallet signing interfaces, property signing, and bank wire workflows.
Pricing is not public, and only a 30-minute scenario-based demo is offered, so procurement cost, contract structure, and deployment timelines are hard to assess. Public materials also do not disclose security certifications such as SOC 2 or ISO 27001, named customers, SLAs, or third-party model evaluations. The use of affective computing for “proof of consent” is inherently sensitive, and false positives, bias, cross-cultural applicability, and regulatory acceptance all need to be validated in pilots.
RTScale is best suited to banks, payment institutions, brokerages, family offices, wallet providers, AI platforms, and real estate transaction service providers for high-value scenarios such as APP fraud, elder exploitation, coerced transfers, Agent overreach, crypto wallet signing, and closing-wire BEC. Availability from China is unknown; payment and procurement methods are not disclosed. If domestic institutions cannot adopt it, they could first use strong authentication, transaction cooling-off periods, trusted contacts, manual review, behavioral risk controls, and multi-signature or delayed transfers as alternatives or complements.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on rtscale.ai official site.
rtscale.ai is an United States Cybersecurity provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach rtscale.ai directly.