Conduct
London startup founded by ex-Palantir engineers building an AI OS to understand, operate and modify systems like SAP, Salesforce and Oracle.
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Podcast Episode
🎙️ Deep Dive
Conduct, Comand AI, NeuralTrust — legible enterprise systems, battlefield AI and agent security — Daily News June 17, 2026
Listen to the episodeAbout Conduct
Conduct builds an AI operating system for large companies running heavily customised software. The platform ingests code, configurations, dependencies and integrations to map the business logic hidden inside core systems such as SAP, Salesforce, Oracle, MES and WMS. Its €51M Series A, co-led by Index Ventures and ICONIQ with SAP as a strategic investor, positions Conduct as key infrastructure for making enterprise software AI-agent ready.
The Story
Founded in 2024 in London by Jan Philipp Haas, Philipp Hoefer and Henry Thompson, with backgrounds in complex enterprise environments such as Palantir.
How Conduct works
Business Model
B2B enterprise software for large organisations with complex, customised core systems.
Revenue Model
Likely enterprise SaaS/licensing and transformation partnerships; pricing not public.
Products & Services
Key Products
- AI OS for enterprise systems
- SAP transformation layer
- Enterprise system mapping platform
Core Use Cases
- SAP transformation
- ERP modernisation
- Salesforce/Oracle change management
- Legacy system mapping
- AI agent readiness
Market & Clients
Key Customers
Large enterprises; reported customers include Daimler Truck, Heidelberg Materials, Fraport and DHL.
Geographic Presence
How Conduct competes
Competitors
Competitive Advantages
- Deep enterprise systems focus
- Strategic investment from SAP
- Ex-Palantir founding team
- Partnerships with BCG and NTT DATA Business Solutions
- Customer traction in large industrial enterprises
How Conduct grows
Growth Strategy
Expand transformation partnerships and deepen integration with the SAP ecosystem.
Distribution Model
Direct B2B enterprise sales and via partners such as BCG and NTT DATA Business Solutions.
Moat (Defensibility)
System mapping data, enterprise integrations, SAP ecosystem relationships and transformation workflow knowledge.
Regulatory Context
Relevant to enterprise data governance and core business system security.
Key Risks
- Long enterprise sales cycles
- High implementation complexity
- Dependence on trust with mission-critical systems
- Competition from incumbents and consultants
Strategic Insights
- The enterprise AI bottleneck is often the historical complexity of core systems.
- SAP as a strategic investor signals that agentic ERP is becoming a central category.
- Making software legible is a prerequisite for truly automating the back office.
Funding & Investors
Total Funding
Funding Rounds
- 2026 - Series A: €51M / $60M
Lead: Index Ventures, ICONIQ
Key Investors
Founding Team
Founders
Key Metrics
Lessons from Conduct
- Big AI opportunities are often hidden in legacy systems and less visible processes.
- An enterprise AI product must integrate with what already exists, not claim to replace it immediately.
- Founders with experience in complex environments like Palantir can have an edge selling to large enterprises.
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