Control, a U.S.-based software company building AI-native infrastructure for enterprise financial operations, has raised seed funding to expand its platform for automating accounting, reporting, and financial decision-making workflows across modern businesses.

The company develops an AI-powered financial operating system designed to unify fragmented enterprise finance tools into a single automated layer. Its platform connects accounting systems, banking data, and enterprise resource planning (ERP) tools, enabling real-time financial visibility and automated reconciliation. By applying large language models and structured data pipelines, Control aims to reduce manual financial operations and improve accuracy in reporting, forecasting, and compliance processes.

Control’s product is positioned as a next-generation financial infrastructure layer for companies that rely on multiple disconnected systems to manage core accounting and financial operations. The platform is designed to ingest financial data from various sources, normalize it, and generate real-time insights that support decision-making for finance teams, executives, and auditors.

The company has raised approximately $3.4 million in seed funding to accelerate product development and expand its engineering and enterprise sales operations. The round was led by Greenfield Partners, a venture capital firm focused on early-stage investments in AI infrastructure, enterprise software, and data-driven platforms.

The seed round also included participation from Sequoia Capital, one of the world’s leading venture capital firms known for backing category-defining enterprise and infrastructure companies. Their involvement signals strong investor confidence in Control’s approach to redefining financial operations through AI-native systems.

Control’s platform is built around an AI orchestration layer that connects financial systems across organizations. It integrates with tools such as accounting software, banking APIs, and payroll systems to provide a unified financial data model. This allows companies to automate reconciliation, detect anomalies in financial data, and generate real-time financial reports without manual spreadsheet-based workflows.

A key focus of Control’s technology is reducing the operational burden on finance teams, particularly in fast-scaling companies where financial data is often distributed across multiple tools. By consolidating these systems into a single AI-driven interface, the platform aims to improve both efficiency and financial accuracy while reducing the risk of human error.

With the new funding, Control plans to expand its engineering team, enhance its AI modeling capabilities, and deepen integrations with enterprise financial systems. The company is also investing in improving its data infrastructure to support larger enterprise customers with complex financial environments.

The involvement of investors such as Greenfield Partners and Sequoia Capital reflects growing interest in AI-native enterprise software that reimagines traditional business workflows. Financial operations, in particular, have become a key focus area for automation, as companies seek to reduce costs and improve real-time visibility into financial performance.

Control is part of a broader wave of startups building AI-first enterprise infrastructure, where artificial intelligence is embedded directly into core business systems rather than layered on top of existing tools. This approach is increasingly seen as a shift from traditional SaaS models toward fully automated, intelligence-driven platforms.

As enterprise adoption of AI continues to accelerate, Control is positioning itself as a foundational layer for financial operations automation. With its latest seed funding round and backing from firms such as Greenfield Partners and Sequoia Capital, the company is focused on scaling its platform and expanding its presence across mid-market and enterprise customers seeking more efficient financial systems.

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