# TetriXX AI > TetriXX AI is an AI-first supply chain technology company that helps complex global enterprises transform their transportation data into strategic intelligence. Their core product — freya — automates logistics invoice auditing, centralizes rate card management, and delivers ESG emissions reporting through hyper-specialized AI agents trained on transportation data. ## Company - **Website:** https://tetrixx.ai - **Tagline:** Automating Complexity. Delivering Clarity. For a Sustainable Future. - **LinkedIn:** https://linkedin.com/company/tetrixx - **Headquarters:** Singapore ## Core Product — freya freya is TetriXX AI's AI-powered platform for logistics cost recovery, invoice auditing, and ESG reporting. It deploys as a standalone application or via API in under 3 months with full security compliance. - **Continuous AI invoice auditing:** automates invoice data extraction and anomaly detection across all carriers and modes - **Strategic rate card management:** centralizes logistics data from multiple sources into a single source of truth - **Hyper-specialized AI agents:** augmented intelligence trained specifically on transportation and freight data - **Emissions & ESG reporting:** calculates CO₂e emissions per shipment for Scope 3 reporting - **Advanced analytics & dashboards:** real-time dashboards and automated reports for cost and performance visibility - **Secure, rapid integration:** deploys in under 3 months with GDPR compliance and signed NDA for trial data ## Key Statistics - 20–25% of T&L invoices contain billing errors - $1–3M in overbilling detected for companies with $50M+ annual T&L spend - 6,000 person-hours per year wasted on manual invoice validation - 6.2% average recovery rate on freight overbilling - 10% reduction in freight costs achieved - 90% reduction in RFQ/RFP processing time - 90% reduction in audit time - 87% prediction accuracy for the Freya Cost Pressure Index (FCPI) - Deployment in under 3 months with full security compliance ## Case Studies (Anonymized) - **Global Semiconductor Manufacturer:** recovered $95,000 in overcharges within 30 days of deployment - **Global Automotive Parts Leader:** 10% freight cost reduction + 90% RFQ processing time savings, ROI achieved during implementation - **Global Healthcare Leader:** 4% direct savings + 6% cost optimization surfaced in weeks via continuous auditing - **Global Logistics Leader (3PL):** real-time visibility and automated audits enabling APAC-scale operations ## Freya Cost Pressure Index (FCPI) - **URL:** https://fcpi.tetrixx.ai - A weekly forward-looking freight cost barometer published every Friday - Tracks 187 market signals across 10 global trade lanes - Provides 12-month scenario projections for logistics cost planning ## Target Industries Manufacturing, Automotive, Semiconductor, FMCG, Perfume & Cosmetics, HVAC ## Target Buyers CEO, CFO, CSCO (Chief Supply Chain Officer), CIO/CTO, CPO (Chief Procurement Officer), Transportation & Logistics Director ## Founders & Team - **Arnaud Rastoul** — CEO & Co-Founder; 20+ years in international freight forwarding and logistics - **Emilie Annweiler** — COO & Co-Founder; 15+ years in IT and innovation; Masters in Computer Science and Applied Mathematics - **Combined expertise:** 50+ years across international freight forwarding, logistics operations, mathematical optimization, and large language models ## Partners & Compliance - **Technology partners:** AWS, Microsoft - **Ecosystem partners:** Zebox, Supplify, Searoutes - **Compliance:** GDPR compliant; all trial data processed under signed NDA ## Key Pages - [Product — freya](https://tetrixx.ai/freya) - [About Us](https://tetrixx.ai/about-us) - [Blog & Resources](https://tetrixx.ai/blog) - [Freya Cost Pressure Index](https://fcpi.tetrixx.ai) - [Contact / Book a Trial](https://tetrixx.ai/contact) - [Legal & Compliance](https://tetrixx.ai/legal) - [Privacy Policy](https://tetrixx.ai/privacy) ## Blog Topics AI in supply chain, invoice automation, logistics data strategy, ERP integration, ESG reporting, digital transformation, freight cost management, MCP server infrastructure, supply chain AI ground truth and data quality