A New Phase of Enterprise Automation Funding
Enterprise automation funding refers to investment rounds backing startups that use software, AI digital workers, and agentic tools to take over complex operational tasks across industries, from industrial control systems to freight logistics and enterprise software. In the latest wave, five enterprise AI automation startups have raised more than USD 180 million (approx. RM828 million), spanning code management, logistics AI startups, and enterprise software automation. Copia Automation extended its industrial code management platform, Conduct advanced its AI operating system for enterprise systems, Undo expanded its runtime context tooling, and Cargofy scaled AI digital workers in freight operations. Together, these rounds show investors are focusing on AI agents that operate inside existing systems rather than replacing them. They also highlight how automation is moving from narrow scripts to continuous, context-aware software and logistics operations.
Industrial Code and Runtime Context: Copia and Undo
Copia Automation raised USD 26 million (approx. RM120 million), bringing total capital to USD 55 million (approx. RM253 million), to expand its industrial code management platform for programmable logic controllers. Its code management platform gives operational technology teams version control, validated backups, and recovery for the automation code that runs factories and infrastructure. Conducting safe, fast recovery is becoming central as automation and modernization increase exposure to cyberattacks and downtime. Undo added USD 37 million (approx. RM170 million) in growth investment to support engineering teams and AI coding agents with runtime context. It records how code behaves at runtime so agents can run more accurate automated root-cause analysis. Undo reports that “AI agents solve 38% of complex bugs when working with static code alone. With Undo’s runtime context, that figure rises to 92%.” Both companies anchor the stack that agentic AI will depend on.
Conduct and Cargofy: AI-Ready Systems and Digital Workers
Conduct secured EUR 51 million (USD 60 million, approx. RM276 million) in Series A funding to make enterprise systems AI-ready by mapping and operating across SAP, Salesforce, Oracle, MES, and WMS. According to EU-Startups, Conduct reduces the time between a business decision and its execution in software by making opaque, customized systems understandable and operable. At the operations edge, Cargofy raised EUR 9.6 million (USD 11 million, approx. RM50 million) to deploy AI digital workers across freight operations. Its agents connect to more than 70 tools, handle email with carriers, manage documents, and coordinate dispatch in multiple languages without replacing existing workflows. Cargofy reports that one dispatcher can manage a fleet ten times the usual size, with a 315-truck fleet saving around EUR 72.4k per month. These two startups show how agentic AI is spreading both into core enterprise platforms and frontline logistics operations.
Investor Priorities and the Rise of Specialist Backers
Across these enterprise automation funding rounds, investors are converging on AI agents that plug into existing systems rather than stand-alone applications. Copia’s round was co-led by AE Ventures and Squadra Ventures with a mix of equity and venture debt, signaling confidence in industrial automation software as a long-term infrastructure play. Undo’s USD 37 million (approx. RM170 million) growth investment was led by Elsewhere Partners, a specialist firm focused on scaling enterprise software. Conduct’s backing by Index Ventures, ICONIQ, and SAP, and Cargofy’s support from u.ventures, Toloka, and Movens Capital, point to a growing specialist investor class in enterprise AI infrastructure, logistics AI startups, and agentic tooling. These investors see value in platforms that standardize AI access to complex environments: industrial control systems, legacy ERP, large codebases, and freight networks. Their capital is now shaping a layered stack of enterprise software automation.
Toward a Consolidated Agentic Automation Stack
Taken together, the funding into Copia Automation, Conduct, Undo, and Cargofy suggests an emerging architecture for enterprise software automation. At the industrial edge, Copia protects and standardizes automation code. In core IT systems, Conduct maps and orchestrates changes across highly customized software. Inside engineering workflows, Undo gives AI coding agents the runtime context needed for reliable debugging and incident response. In freight operations, Cargofy’s AI digital workers mirror human workflows across a wide toolset, showing how agents can be hired like staff rather than deployed as isolated tools. This pattern points to future consolidation around horizontal platforms that coordinate multiple AI agents across domains. As specialist investors keep backing infrastructure and governance layers instead of pure applications, the next competitive edge will come from how well companies connect these layers into a cohesive automation strategy that spans code, systems, and physical operations.
