AI platform for automating financial and business decisions
PredictX operates a decision-automation platform built on Python, Spark, and KNIME, targeting finance and travel-expense workflows. The stack reveals a hybrid approach: legacy data infrastructure (MySQL, Ingres) paired with modern ML tooling, suggesting active migration rather than greenfield development. Project velocity centers on travel-expense automation and financial process redesign, while hiring remains sparse across data, sales, and product—indicating a mature, sales-driven GTM rather than scaling engineering.
PredictX builds an AI platform that automates critical business decisions in finance, travel, and expense management. Founded in 2012 and based in London, the company operates with 51–200 employees. The platform combines predictive analytics with execution capabilities—moving beyond dashboards to actively trigger workflow changes and cost savings. Core surfaces include data enrichment, decision modeling via KNIME, and embedded reporting. Sales and implementation drive current activity, with active hiring in the US, UK, and Poland focused on support and data roles.
Python, Apache Spark, KNIME for ML, MySQL and Ingres for data storage, plus HTML/CSS/JavaScript for interfaces. Git for version control.
Poland, United States, and United Kingdom. Current open roles span data, sales, product, finance, and support functions.
AI-powered travel and expense automation, financial process optimization, reporting solutions, and integration of AI into invoicing and payment workflows.
Other companies in the same industry, closest in size