Former Palantir employees raise $60M for AI enterprise startup Conduct

2026-06-17 · Source: Tech.eu - Tech.eu · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Fundamental Awareness, quick

Summary

London-based AI startup Conduct, founded in 2024 by former Palantir employees, has secured \$60 million in Series A funding, bringing its total raised to \$72 million. New investors Index Ventures, Iconiq, and SAP co-led the round, with participation from existing investors Creandum, Lucid Capital, and Booom. Conduct specializes in modernizing complex legacy ERP systems, especially SAP, by using AI to analyze code and configurations. Its software helps enterprises better understand their ERP environments, accelerate software changes, facilitate SAP migrations, and reduce IT maintenance costs. The company, which counts Daimler Truck, Heidelberg Materials, and DHL among its customers, plans to use the new capital to expand its engineering and go-to-market teams. Conduct currently employs 35 people in London and is actively hiring in the US.

Key takeaway

For Directors of AI/ML grappling with legacy ERP modernization, your AI initiatives will struggle without first addressing system legibility. Consider solutions that use AI to map and understand your existing complex SAP or other ERP configurations. This foundational step enables AI agents to operate effectively, accelerating software changes, streamlining migrations, and significantly cutting IT maintenance, ultimately delivering tangible AI results within your enterprise.

Key insights

AI agents require legible, operable enterprise systems to deliver results, especially with opaque legacy ERPs.

Principles

• Legacy ERP systems are often too opaque for human or AI comprehension.
• AI's value in enterprises depends on system legibility and operability.
• Customization over decades hinders system understanding.

Method

Conduct's software analyzes code and configurations across enterprise systems, then applies AI to utilize this data, making these systems legible and operable for modernization and maintenance.

In practice

• Use AI to analyze complex ERP code and configurations.
• Speed up software changes in legacy systems.
• Support large-scale SAP system migrations.

Topics

• Enterprise AI
• ERP Modernization
• SAP Systems
• Legacy IT
• AI Agents
• Venture Capital Funding

Best for: CTO, VP of Engineering/Data, Executive, Investor, Entrepreneur, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech.eu - Tech.eu.