Nova Intelligence Raises $31.5M Series A Led by Chemistry to Bring Agentic AI to SAP’s $89B Migration Wave

Key Takeaways

• Nova secured $31.5M Series A, total funding exceeds $40M.
• Funding targets SAP S/4HANA migration market valued over $89B.
• Agentic AI cuts SAP modernization effort by 75% and costs by 50%.
• Chemistry leads round, signaling venture interest in enterprise AI.
• Early Kyndryl case shows rapid ROI for Fortune 500 clients.

Pulse Analysis

SAP’s upcoming S/4HANA deadline has turned the ERP landscape into a multi‑billion‑dollar construction site. Enterprises face legacy codebases that are costly to maintain and risky to replace, prompting a surge in demand for tools that can automate migration while preserving business continuity. Analysts project that the combined spend on implementation, upgrades, and ongoing support will exceed $89 billion, creating a fertile market for technology providers that can reduce both time and expense.

Nova Intelligence’s agentic AI platform tackles this challenge by combining large‑language‑model reasoning with domain‑specific code generation. The system ingests existing SAP modules—payroll, supply‑chain, finance—and produces modern, S/4HANA‑compatible code, dramatically shrinking the manual labor traditionally required. In an April 2025 pilot with Kyndryl, the platform slashed manual effort by three‑quarters and cut modernization costs in half, delivering a compelling ROI narrative for risk‑averse CFOs. By automating repetitive coding tasks, Nova also lowers the likelihood of human error, a critical factor in mission‑critical ERP environments.

The $31.5 million Series A, led by venture firm Chemistry, signals strong investor confidence in AI‑driven enterprise transformation. Capital will fund product scaling, deeper integrations with SAP’s ecosystem, and go‑to‑market expansion targeting Fortune 500 customers facing the 2030 migration deadline. As more enterprises prioritize digital resilience, Nova’s approach could become a benchmark for AI‑assisted ERP modernization, reshaping how legacy systems are retired and setting a new efficiency standard across the industry.