Conduct Raises $60M to Bridge Legacy Enterprise Systems with AI

London-based startup Conduct has secured a, 51 million Series A funding round to accelerate the integration of AI into complex enterprise software environments. The company aims to enhance interoperability across major platforms including SAP, Salesforce, and Oracle. Led by Index Ventures and ICONIQ, this significant capital injection highlights a growing market demand for tools that can translate legacy enterprise data into actionable intelligence for modern AI models. The founding team, comprised of former Palantir engineers, is positioning Conduct as an operating system for enterprise software. By focusing on deep integration with MES, WMS, and core ERP systems, the startup seeks to solve the persistent friction between siloed data architectures and the requirements of generative AI workflows. For enterprise software investors and operators, this move signals a pivot toward infrastructure that prioritizes system-wide visibility over standalone application functionality. The ability to bridge disparate systems like Oracle and Salesforce suggests that Conduct is targeting the high-friction technical debt that often stalls digital transformation projects. As enterprises scramble to deploy AI, the bottleneck is rarely the model itself but rather the underlying data accessibility within legacy frameworks. Conduct intends to utilize these funds to expand its engineering capacity and broaden its go-to-market reach. This development warrants close observation by stakeholders in the enterprise software sector, particularly those holding positions in legacy ERP providers or cloud infrastructure firms. If Conduct successfully scales its cross-platform capabilities, it could pressure traditional software vendors to accelerate their own internal AI-ready initiatives to remain competitive. The focus on MES and WMS systems also points toward a potential expansion into industrial and supply chain automation, sectors where real-time data integration remains a critical competitive advantage. Market participants should monitor how Conduct influences the adoption rates of AI features within the SAP and Salesforce ecosystems over the coming months. While the startup is in its growth phase, the backing from prominent venture firms suggests a high level of confidence in the technical viability of their enterprise-wide AI orchestration layer. Investors should consider how such middleware solutions could redefine the value proposition of established enterprise software giants by effectively turning them into modular components of a broader, AI-driven operating environment.