Data governance and AI infrastructure for financial services
Opplane builds data pipelines and AI/ML infrastructure for regulated industries, with a tight focus on PII scanning, compliance automation, and real-time transaction processing. The stack—Apache Spark, TensorFlow, PyTorch, LangChain, Vertex AI, Kubernetes—reflects a company scaling toward petabyte-level data workloads and MLOps. Active adoption of GCP and Kubernetes alongside internal CI/CD tooling and policy-as-code guardrails signals infrastructure-first engineering maturity for enterprise environments.
Notable leadership hires: Chief Architect
Opplane operates a data governance and AI platform targeting financial services and regulated verticals. Founded in 2018 and based in Santa Clara, the company helps organizations navigate data compliance, AI governance, and secure hybrid cloud architectures. Core capabilities span scalable data pipelines (Spark, Beam, Hadoop), real-time transaction processing, automated PII detection via ML, and enterprise GCP infrastructure. The product surfaces compliance automation, connectivity management, and generative AI integration as primary value levers for banking and fintech buyers.
Opplane operates on Apache Spark, PySpark, Apache Beam, Python, Java, TensorFlow, PyTorch, Kubernetes, Docker, and AWS/GCP. They're actively adopting Kubernetes and deep-learning frameworks while building on Vertex AI and Gemini for AI workloads.
Opplane is headquartered in Santa Clara, California. The company was founded in 2018 and employs 11–50 people.
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