ManufacturingCentific, the Washington based AI “data foundry” company, just raised $60 million in Series A funding to expand its AI infrastructure platform, in a round led by Granite Asia.
While the company may operate mostly out of sight, its work is behind some of the most advanced AI systems in use today. Since its founding in 2020, Centific has been a critical development and deployment partner for organizations including OpenAI, Microsoft, Google, Nvidia, Anthropic, and Amazon Web Services. Its software and global network support high-precision model training, human-in-the-loop validation, and multimodal deployment at production scale.
The fresh capital, they say, will be used to enhance Centific’s platform capabilities, deepen partnerships with cloud and hardware providers, and expand its global footprint. But beyond growth, the company sees this moment as an opportunity to set the pace for how agentic and domain-specific AI systems are responsibly built and scaled.
Centific’s core product is an AI Data Foundry: an infrastructure-agnostic platform built to accelerate the lifecycle of AI systems. This includes data curation and refinement, supervised training, reinforcement learning from human feedback (RLHF), red-teaming, synthetic data generation, and real-time inferencing. The platform is built for deployment across cloud, on-premise, and edge environments, using a plugin-based system that supports both PaaS and SaaS metering.
Modular tools like Data Studio, RAG Studio, and Safe AI Studio allow customers to mix and match components to meet specific use cases. For example, in regulated sectors where access to real-world data is limited, Centific’s synthetic data capabilities help fill the gap without compromising on compliance. The company’s global network of 1.8 million domain experts supports tasks like data labeling, model validation, and bias reduction, adding human assurance at every stage.
