PredictX Team

PredictX is a London-based company specializing in AI-powered data intelligence solutions for travel and expense (T&E) management. Founded in 2012, the company has grown into a global team representing 18 nationalities.

Cogent agentic AI and DetectX auditing travel transactions to surface out-of-policy spenders by travellerCogent agentic AI and DetectX auditing travel transactions to surface out-of-policy spenders by traveller

Beyond Data Quality: Auditing Traveller Behaviour with Cogent Agentic AI

Cogent agentic AI dashboard modelling a hotel disruption and air-to-rail modal shift with carbon and cost

When the Hotel Closes: Cogent Agentic AI for Travel Disruption and Modal-Shift Decisions

Agentic AI leakage detection dashboard showing off-channel spend anomalies flagged across TMC, card, and expense data sources

Agentic AI for Corporate Travel Leakage Detection: How Cogent Finds What Your Dashboards Cannot

Travel manager reviewing leakage data and supplier rate gap analysis before an RFP negotiation

Travel Leakage and Supplier Negotiations: How Data Changes Who Wins in the Room

Cogent agentic AI dashboard ranking non-preferred airline and hotel vendors before a corporate travel RFP

Before the RFP: Using Cogent Agentic AI to Decide Which Vendors to Contract Next

Five-lever corporate travel leakage reduction framework: data visibility, booking tool, policy, incentives, and supplier coverage

How to Reduce Corporate Travel Leakage: The 5-Lever Framework

Cogent agentic AI dashboard reconciling TMC, card and expense data to surface T&E leakage

Finding the Spend You Can't See: How Cogent Agentic AI Surfaces T&E Leakage in Seconds

Four-step corporate travel leakage audit process showing data ingestion, identifier matching, transaction comparison, and exception filtering

How to Measure Corporate Travel Leakage: The 4-Step Audit Process

Three layers of corporate travel leakage: TMC booking data, card payments, and expense reports with visibility gaps between each

Corporate Travel Leakage: What Causes It and Why Your Data Cannot See It