AI doesn’t run on magic, it runs on data. And if GenAI is the new arms race, Centific just locked in its war chest: $60 million in Series A funding led by Jenny Lee of Granite Asia. You don’t get a Midas List veteran to bet on your infrastructure unless your pipes are next-level, your roadmap has teeth, and your leadership team knows how to move markets, not just models.
Centific isn’t selling GPUs or chasing benchmark flexes. They’re doing the work beneath the hype, building the AI data foundry that powers the systems the rest of the hype train rides on. Think less “another LLM startup” and more the engine room of enterprise AI. They’re the one setting the scaffolding, the safety rails, and the performance boosters for the agentic future. And after quietly bootstrapping since spinning out from Pactera in 2020, the platform’s now ready for primetime.
Under the sharp leadership of CEO and Co-founder Venkat Rangapuram, Centific’s transformation from Pactera EDGE into an independent AI powerhouse isn’t just a rebrand, it’s a reshuffle of the infrastructure stack. They’re not just working with Fortune 500. They’re embedded inside the “Magnificent Seven” tech giants. You don’t get there with vaporware. You get there with infrastructure-agnostic pipelines, fine-tuned workflow orchestration, and 1.8 million domain experts ready to drive safe AI at scale.
The $60M isn’t fuel for growth, it’s a multiplier. Centific’s global ops already stretch from Redmond to Hyderabad, Wuxi to Johor, with more than 4,000 AI engineers and 150+ PhDs in the lab. Now, with Granite Asia backing the play, they’re turning up the heat: expanding platform capabilities, leveling up multimodal R&D, and putting real muscle behind global enterprise AI deployment. Wuxi alone is targeting $200M in annual revenue and 1,000 hires, this isn’t scale, it’s continental shift.
If NVIDIA, AWS, Lenovo, and Microsoft are already calling Centific a strategic partner, it’s because they know this isn’t some garage-stage experiment. This is what the AI supply chain looks like when you take model hallucinations, safety lapses, and brittle pipelines off the table. It’s audit-ready, vision-inferencing, RAG-optimized, human-in-the-loop data delivery at industrial grade.
Props to Heng Lim, Pamela Pei, Dinesh Chandrasekar, Shiva Jayaraman, Vasudevan Sundarababu, Yong Liang, and Prashant Gandham, a leadership team that’s not building tools for AI demos but infrastructure for AI at scale. The kind of team you bet on when everyone else is still pitching slide decks and sandcastles.
