Trust360

IntelliChat is an advanced AI chatbot solution designed to enhance customer interactions across multiple platforms including websites, emails, and e-commerce stores. This innovative tool leverages AI to automate and streamline customer support processes, ensuring efficient and effective communication. Key Features AI Ticketing System: Converts chatbot dead-ends into structured support tickets, reducing manual workload and improving response times. AI Email Assistant: Acts as an intelligent first responder, clearing support inboxes with automated responses based on your knowledge base. WooCommerce Integration: Provides instant answers to common queries like "Where Is My Order?" by integrating seamlessly with WooCommerce product catalogs. Omnichannel Automation: Connects with website widgets, email autoresponders, WhatsApp, and Facebook Messenger, ensuring a unified communication strategy. Seamless Human Handover: Facilitates smooth transitions from AI to human agents when complex issues arise, complete with conversation history for context. GDPR Compliance: Ensures user privacy with built-in GDPR compliance tools, including consent banners and data anonymization options. MultiLang Support : Intellichat Support English, German, Spanish More to come IntelliChat empowers businesses to automate document workflows and customer communications, providing a comprehensive solution for modern e-commerce and support environments. With its robust AI capabilities, it reduces agent workload, improves customer satisfaction, and offers a scalable solution for growing businesses.

X-faces is an AI platform for identity verification, fraud prevention, and behavioural analytics purpose-built for the iGaming industry. We combine KYC, anti-fraud tools, and real-time behavioural scoring in a single, fully integrated solution. Designed for speed, flexibility, and ease of use, X-faces enables online platforms to onboard users faster, detect fraud more effectively, and gain deeper insight into player behaviour. Developed in response to operator feedback around high costs and limited functionality, X-faces offers a faster, smarter, and more adaptable alternative.

VizProof is a visual regression testing platform built for frontend teams, QA engineers, and CTOs who ship fast and can't afford visual bugs in production. How it works: VizProof captures screenshots of your web pages using Playwright, compares them pixel by pixel against a validated baseline, and generates a colorized diff showing exactly what changed — and where. Key features: Full-page screenshot capture with custom viewports, selectors, and JavaScript execution Baseline management with versioned history and team review workflows Multi-step flows and journeys (simulated navigation before capture) Scheduled runs and CI/CD integration via API and CLI Blocking quality gates for GitHub Actions, GitLab CI, CircleCI and more Visual diff with configurable thresholds to eliminate false positives Alerting and incident tracking for visual regressions Who it's for: React/SPA teams, e-commerce companies protecting conversion funnels, agencies managing multiple client sites, and any team running Playwright in CI who wants visual coverage without maintaining their own infrastructure.

Magikfake is essentially a sophisticated synthetic data generator. Input Parameters: The Recipe for Data The five required parameters allow users to precisely control the output: Topic & Context: These are crucial for the AI. They dictate the meaning and domain of the data. For example, a "Topic: E-commerce Transactions" with a "Context: Black Friday Sales in Europe" would guide the AI to use specific terminology, price ranges, and likely product categories relevant to that scenario. Language: Ensures the generated data (names, cities, text fields) is linguistically correct and culturally appropriate for the target audience or system. Number of Records: A straightforward count for the desired dataset size. JSON Schema (with Primitive Types): This is the structure of the output. The user defines fields like name: string , age: integer , purchase_price: float , ensuring the generated data fits perfectly into their existing database or application structure. AI-Driven Data Generation The real value of Magikfake lies in its AI process: Dataset Analysis & Selection: The AI doesn't just generate random data; it analyzes its internal datasets (which contain patterns, distributions, and relationships from real-world data) to find what's relevant to the user's Topic and Context . Pattern Replication: Once relevant patterns are identified, the AI synthesizes new data that maintains the statistical properties and correlations of the real data. This is why it's "truthful fake." For instance, if real e-commerce data shows that customers who buy high-priced electronics ( purchase_price > \$1000 ) tend to be in the 30-55 age bracket ( age ), the synthetic data will maintain this relationship. Primary Use Cases Synthetic data is highly valuable in situations where real data is sensitive, scarce, or cumbersome: Software Development and Testing: Developers need large, complex datasets to test new features, performance, and scalability without using sensitive Production data (which carries privacy and security risks). Privacy and Compliance (GDPR, HIPAA): Companies can share synthetic versions of their data with external partners, researchers, or even within internal non-production environments, meeting strict privacy regulations while still providing statistically meaningful data. Machine Learning (ML) Model Training: Synthetic data can be used to augment or balance real training datasets, especially when real-world examples of rare events (like fraudulent transactions) are insufficient. Proof of Concept (PoC) and Demonstrations: Quickly generating realistic data for client demos or internal prototypes without needing access to or cleaning up real data sources.

QTKTest: An all-in-one, no-sign-up test hub for skills, health checks, and fun self-discovery.

TheySaid - The everything app for feedback, powered by AI and voice to gather, analyze, and act on feedback. Conduct interviews, user tests, surveys, polls, and funnel results into a single dashboard or your database via integrations. Popular use cases include onboarding, customer + employee experience, lost sales deals, product research, and more!