Aerospace and IT consulting with emerging AI platform and multi-cloud infrastructure
PDS is a 35-year-old aerospace and IT consulting firm (201–500 employees across 20+ U.S. states) now building internal AI/LLM capabilities at scale. The stack reveals a heavy multi-cloud engineering effort: Oracle, GCP, Azure, AWS, Kubernetes, Apigee Hybrid, plus active adoption of LangChain, LlamaIndex, Pinecone, and Weaviate — all pointing toward a next-generation agentic AI platform. Current hiring skews engineering-heavy (4 of 6 roles), suggesting they're staffing both the platform build and expanded cloud operations.
PDS delivers staffing, consulting, and software solutions across aerospace, IT, engineering, finance, and human capital management. The firm has grown from individual-contributor placements to designing and deploying complex software systems, now pivoting toward enterprise-grade AI and multi-cloud infrastructure. Active projects span LLM integration pipelines, healthcare data ML models, AI governance frameworks, and Apigee Hybrid API platform deployment across GCP and Azure. Pain points cluster around securing and scaling AI systems, managing multi-cloud complexity, and accelerating genai adoption — core challenges for a services firm building platform IP.
Oracle, GCP, Azure, AWS, Kubernetes, Python, TensorFlow, PyTorch. Currently adopting LangChain, LlamaIndex, Pinecone, and Weaviate for AI/LLM work.
Enterprise agentic AI platform, LLM integration pipelines, ML models on healthcare data, AI governance and compliance frameworks, Apigee Hybrid API deployment, and multi-cloud networking across GCP and Azure.
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PDS's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.