AI agent infrastructure becomes the new enterprise software stack
AI agent infrastructure is the emerging layer of enterprise software that provides the shared context, governance, monitoring, and deployment systems required to run autonomous software agents safely and at scale across real business environments. Four recent funding rounds highlight how this stack is forming in layers. Zaro raised USD 5.1 million (approx. RM23.5 million) to build an AI‑native workspace that connects enterprise data and workflows. Coralogix secured USD 200 million (approx. RM922 million) to expand monitoring for autonomous software and AI agents in production. Willow announced USD 7 million (approx. RM32.3 million) to govern agentic access and security. Niteshift raised USD 7 million (approx. RM32.3 million) for a cloud platform that lets AI coding agents verify and deploy working software. Together, these rounds show that enterprises now expect agent systems to be observable, controllable, and production‑grade, not experimental side projects.
Zaro and the race to build a shared context layer for agents
Zaro targets a core weakness in current AI deployments: fragmented knowledge. Many enterprises run AI agents and automation tools in silos, so what one agent learns or produces is not shared across the organization. Zaro’s AI‑native workspace introduces a shared context layer that links company data, decisions, workflows, and operational history, then lets agents and applications operate on top of it. The founders, who previously worked on AI agents at Convergence and later contributed to Salesforce’s Agentforce, have seen high‑performing agents fail when forced to work together without shared context. CEO Michael Bajwa notes that “the intelligence never compounds because the context never carries over.” By combining this context layer with app‑building tools and a marketplace of pre‑configured workflows, Zaro positions itself as the connective tissue for enterprise AI agents rather than yet another isolated tool.
Monitoring autonomous software: Coralogix bets big on observability
As AI agents move into production systems, observability becomes essential. Coralogix’s USD 200 million (approx. RM922 million) Series F is a direct bet on autonomous software monitoring. The company already sees more than half of its enterprise customers using its own agent, Olly, or their own models via command‑line interfaces to investigate incidents, eroding the traditional dashboard‑driven workflow. CEO Ariel Assaraf links the raise to a surge in AI agent deployments and the urgent need to monitor, troubleshoot, and understand these systems in real time. With around 30 customers each spending over USD 1 million (approx. RM4.6 million) annually and revenue growth above 60 percent year‑on‑year, Coralogix is becoming an AI agent infrastructure staple, giving operations and security teams the telemetry they need to keep autonomous behavior under control.
Willow and Niteshift: governance and deployment for agent‑driven work
Governance and deployment are emerging as the other two pillars of AI agent infrastructure. Willow focuses on enterprise AI governance by controlling how agents connect to internal systems across more than 1,000 pre‑built connectors and tools such as Claude, ChatGPT, Cursor, Gemini and Codex. With 79% of companies adopting AI agents and 73% running multi‑agent systems, Willow reports that 65% have had agent‑related incidents in the past 12 months, underscoring the need for oversight. Niteshift focuses on the AI agent deployment platform layer for developers. Its cloud service runs coding agents like Claude Code and Codex inside fully configured environments, handling runtime, authentication, testing, and verification. By letting teams run many agent sessions in parallel and verify code before release, Niteshift turns agent output into production‑ready software instead of untested suggestions.
A layered stack for enterprise AI agents is taking shape
Taken together, these four rounds show a layered architecture for enterprise AI agents. Zaro provides the shared context layer that keeps institutional knowledge coherent across tools and workflows. Willow adds enterprise AI governance and access control so that agents cannot roam freely across sensitive systems. Coralogix offers autonomous software monitoring, giving teams observability into how agents behave in production and how they affect reliability and security. Niteshift supplies an AI agent deployment platform for coding tasks, closing the gap between generated code and working software. Rather than betting on single monolithic platforms, investors are backing specialized layers that can interoperate. For enterprises, this suggests that AI agents are moving past pilot projects toward long‑lived, auditable systems that must plug into the same standards of control, monitoring, and change management as any other critical software.
