Conduct's $60M Series A signals VC rush into AI-driven legacy modernization
Key Takeaways
- The $60 million round, co-led by Index and ICONIQ with SAP's strategic backing, highlights huge investor appetite for startups that automate enterprise software understanding.
- Conduct's platform cuts business-rule change time from months to minutes, positioning it as a key enabler for cloud migration.
Mentioned
Key Intelligence
Key Facts
- 1Conduct raised $60 million in Series A funding, co-led by Index Ventures and ICONIQ Capital.
- 2SAP participated as a strategic investor, alongside existing backers Creandum, Lucid Capital, and Booom.
- 3The platform ingests millions of lines of custom code and configurations to map technical components to business logic.
- 4Users can query dependencies in natural language, and the AI generates code changes, tests, and implementation plans.
- 5The company is benefiting from an accelerating wave of enterprises migrating their SAP landscapes to SAP Cloud ERP.
- 6Conduct’s platform reduces the time to execute a business decision change from weeks or months to near real-time.
One of the largest Series A rounds for an enterprise AI code understanding startup.
Who's Affected
Analysis
For founders and VCs, Conduct's massive Series A is a case study in solving a universally acknowledged pain: the multi-month lag between a business decision and its system implementation. The round's size and the caliber of investors—Index, ICONIQ, and SAP itself—signal that the market for AI that understands and refactors custom enterprise code is now a top-tier funding category. Startups building in this space should note the platform approach and the strategic anchor provided by SAP.
Conduct, an AI operating system for enterprise software understanding and modification, announced a $60 million Series A funding round on June 17, 2026. The round was co-led by Index Ventures and ICONIQ Capital, with strategic investment from enterprise software giant SAP, and participation from existing investors Creandum, Lucid Capital, and Booom. The massive early-stage raise underscores both the scale of the problem Conduct is tackling and the accelerating investor appetite for AI applications that address the deep-seated inefficiencies of legacy enterprise IT.
The round was co-led by Index Ventures and ICONIQ Capital, with strategic investment from enterprise software giant SAP, and participation from existing investors Creandum, Lucid Capital, and Booom.
Large organizations run on software systems—ERPs, CRMs, supply chain platforms—that have been customized tens of thousands of times over decades to embed unique business rules, approval workflows, and procurement logic. Changing even a single rule often requires weeks or months of manual code review, reverse-engineering of undocumented integrations, and lengthy handoffs between business analysts, developers, and external consultants. This bottleneck has become a critical drag on digital transformation, compliance, and competitive agility. Conduct’s platform ingests all custom code, configurations, dependencies, and integrations across these complex systems, then maps how every technical component connects to the underlying business logic it serves. Users can ask plain-language questions—like “What depends on this approval workflow?” or “What breaks if I change this field?”—and receive an instant dependency map. The AI then generates the necessary code changes, tests, and implementation work, collapsing the cycle from months to minutes.
The strategic involvement of SAP is particularly notable. As thousands of enterprises accelerate their migration to SAP Cloud ERP ahead of the end of mainstream support for legacy SAP systems, they face the daunting task of untangling decades of customizations. Conduct’s technology directly addresses that pain point, making it a natural fit for SAP’s ecosystem. SAP’s investment signals validation and likely channel partnership potential, while also raising the question of how closely Conduct will align with SAP’s product roadmap and whether it will remain neutral across other enterprise platforms.
The funding amount and investor pedigree reflect a broader market shift. The total addressable market for enterprise software modernization and AI-driven DevOps is estimated to be in the tens of billions of dollars, and startups that can automate the understanding of custom codebases are drawing comparisons to early automation of infrastructure management. Index Ventures and ICONIQ’s co-lead, alongside Creandum’s continued backing, underscores that top-tier firms see Conduct as a potential platform winner in a nascent but rapidly expanding category.
What to Watch
Conduct’s growth is reportedly accelerating, driven by the SAP migration wave. The company says thousands of enterprises are now pushing to make their critical software AI-ready, and its platform serves as a key enabler. However, the company will need to prove that its AI can handle the extreme diversity and scale of enterprise environments without introducing errors that could disrupt business-critical processes. The reliance on SAP’s migration cycle also creates a concentration risk; diversifying across other ERP ecosystems will be essential for long-term resilience.
Looking ahead, the Series A will fund product development and go-to-market expansion. Conduct may soon face competition from incumbents like ServiceNow, which are embedding AI into IT operations, or from other AI code analysis startups. Nonetheless, the company’s unique focus on business-logic mapping—rather than just code search—gives it a differentiated defense. If Conduct can execute, it could become the default layer that sits between enterprise business decisions and the messy reality of legacy code.
How we covered this story
Every story in our startup coverage is assembled from multiple primary sources, cross-referenced for factual consistency, and scored along three independent dimensions: sentiment, operational impact, and source-cluster confidence. Single-source rumors and unverifiable claims do not pass our editorial gate. When a story shows "Verified by N sources" with N≥2, the development is independently corroborated; when N=1, we mark it explicitly so readers can weigh the signal accordingly.
Impact scoring uses a 1-10 scale weighted toward regulatory, financial, and operational consequence rather than coverage volume. A topic that runs in every outlet but moves no real decisions ranks lower than a niche regulatory filing that reshapes how operators in the startup space have to behave. Read our full methodology for the scoring rubric, our glossary for term definitions, and our trends index for the longitudinal view across the beat.
| Signal on this page | What it tells you |
|---|---|
| Verified by N sources | Independent corroboration count. N≥2 is our confidence floor; N=1 is marked explicitly. |
| Impact score (1-10) | Regulatory + financial + operational weight. 8+ signals an experienced-operator action item. |
| Sentiment | Five-tier classification trained on labeled startup-specific corpora. |
| Timeline | Where applicable, the related-events sequence that contextualizes today's development. |