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Sevorse R&D

TrustScore™

A digital trust infrastructure system. TrustScore assesses authentic credibility signals, filters synthetic reviews, and produces a reliable reputation score for businesses operating in low-trust digital environments.

Live Product
THE VISION

The Internet Has a Trust Problem.

Fake reviews are not a nuisance. They are infrastructure failure.

When ratings can be bought, when sentiment can be manufactured, and when no reliable signal exists to distinguish a genuinely good business from a well-reviewed one, the entire market breaks down. Consumers make worse decisions. Authentic businesses lose to louder ones. Trust collapses slowly and then all at once.

TrustScore is researching the infrastructure that fixes this. Not by moderating content, but by building a verification system that analyses dozens of independent digital signals and outputs a single, mathematically grounded credibility score that is genuinely hard to fake.

CORE CAPABILITIES

What TrustScore Does

Fake Review Detection

Identifies and filters bot-generated and solicited artificial reviews across major platforms using behavioural and linguistic pattern analysis.

Cross-Platform Sentiment Analysis

Aggregates authentic customer sentiment from multiple sources to build a complete picture of real business performance.

Credibility Badging

Verified TrustScore badges that businesses can display on their websites and storefronts as proof of independently assessed credibility.

Dispute Resolution Portal

Transparent mechanisms for verified businesses to challenge and remove demonstrably false claims with evidence.

RESEARCH AREAS

What We're Investigating

Synthetic Review Detection at Scale

How do you reliably distinguish between a genuine customer review and a bot-generated one across platforms with completely different formats and moderation standards?

Minimum Viable Trust Signals

What is the smallest set of digital signals needed to produce a credibility score that is both accurate and resistant to gaming?

Trust in Zero-Review Environments

How do you score a new business with no review history at all? This is the hardest problem in trust infrastructure and the one most platforms ignore entirely.

TECHNOLOGY

The Stack

TrustScore uses natural language processing to understand the difference between how real humans write and how synthetic content is generated, cross-referenced with IP metadata, behavioural patterns, and cross-platform consistency signals.

Sentiment Analysis NLP Pattern Recognition Anomaly Detection Trust Verification API Enterprise Security Behavioural Metadata Analysis

TrustScore is live.

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