Codvo.ai builds and operates AI systems for enterprises, pairing an LLM stack (LangChain, LangGraph, Langfuse, OpenAI, Mistral, Qwen, FAISS, Qdrant) with industrial data tooling like OSIsoft PI, AVEVA, SCADA and Honeywell. That mix points to heavy delivery work in asset-intensive sectors, backed by predictive-maintenance and subsurface modeling demands. Hiring is accelerating, senior-skewed, and concentrated in engineering and data.
Notable leadership hires: Delivery Lead, Technical Lead, Engagement Lead, Tech Lead Full Stack, Sales Director
Codvo.ai is a privately held AI engineering company headquartered in Plano, Texas, founded in 2019, with 51–200 employees. It designs, trains and runs AI systems embedded in enterprise workflows, supported by its NeIO 2.0 operational AI platform and hybrid delivery teams. Service lines span machine learning, web and mobile development, product design, and functional, performance and security testing. The company works across AWS, Azure and GCP, plus edge AI on NVIDIA Jetson. Its teams hire in the United States, India and the United Kingdom.
Codvo.ai uses AWS, Azure, GCP, Kubernetes, Terraform, LangChain, LangGraph, OpenAI, Mistral, FAISS, Qdrant, NVIDIA Jetson, TensorRT and CUDA, plus industrial systems like OSIsoft PI, AVEVA and SCADA.
Codvo.ai is headquartered in Plano, Texas and hires in the United States, India and the United Kingdom, with most demand in senior engineering and data roles.
Current work includes RAG pipelines, LangGraph agentic workflows, data lakehouse architecture, ML inference pipelines, predictive models for industrial assets and secure CI/CD with automated compliance checks.
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Codvo.ai'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.
