AppliedAI has raised a pre series B funding round to expand its enterprise AI platform, supporting growing demand for production grade artificial intelligence across regulated industries.
Enterprise artificial intelligence startup AppliedAI has raised a pre series B funding round to accelerate the scaling of its enterprise AI platform, as organisations across multiple industries increase investment in automation, data intelligence, and operational AI systems. The funding will be used to expand platform capabilities, strengthen enterprise deployments, and support geographic expansion as companies move from AI experimentation to production scale implementation.
AppliedAI develops AI solutions designed specifically for enterprise environments, focusing on integration with existing data infrastructure, workflows, and compliance requirements. Adoption of enterprise grade AI platforms has accelerated globally. According to McKinsey’s State of AI report, more than 55% of organisations worldwide have adopted AI in at least one business function, reflecting a shift toward scalable and repeatable AI deployments.
The funding round comes amid sustained growth in enterprise AI investment. Data from PitchBook’s Emerging Technology Research indicates that enterprise AI software continues to attract capital, driven by demand from sectors such as financial services, manufacturing, healthcare, and logistics, where AI is being deployed for forecasting, automation, and operational optimisation. AppliedAI operates within this infrastructure-focused segment, distinct from consumer facing AI applications.
Comparable companies in the enterprise AI space have demonstrated the scale potential of this category. DataRobot, which provides automated machine learning tools for enterprises, has raised more than $1 billion in funding, while C3 AI reported $310.6 million in revenue for fiscal year 2024, according to its investor relations disclosures. These benchmarks illustrate how enterprise-focused AI platforms can grow alongside long-term enterprise adoption cycles.
Regulatory and governance considerations are also shaping enterprise AI adoption. The World Economic Forum’s AI governance research highlights increasing emphasis on explainability, data security, and compliance as governments introduce AI related regulatory frameworks. Enterprises are prioritising platforms that can support these requirements while maintaining performance and scalability.
AppliedAI plans to use the pre series B capital to enhance product development, expand engineering and enterprise sales teams, and support additional customer deployments. Broader market forecasts support this expansion. Gartner projects global spending on AI software to exceed $300 billion annually within the next few years, driven largely by enterprise adoption rather than consumer use cases.
As organisations continue transitioning from pilot AI projects to enterprise-wide implementation, AppliedAI enters a critical growth phase. The company’s focus on scalable, production ready AI positions it within a competitive but rapidly expanding segment of the global enterprise technology market.
