webAI builds a platform for running private AI models on customer-owned hardware, from edge devices to distributed clusters. Its stack pairs Rust and C++ with PyTorch, JAX and ONNX, plus Pinecone and Weaviate for retrieval, which points to low-level inference optimization rather than cloud API wrapping. Senior-heavy, engineering-led hiring and IPFS adoption match a focus on edge synchronization under intermittent connectivity.
webAI is a privately held AI software company founded in 2020 and headquartered in Austin, Texas, with 51–200 employees. It sells an enterprise platform for building, deploying and operating custom AI models on infrastructure the customer controls, keeping data and IP private. Target sectors include public sector, defense, aviation and manufacturing. Engineering spans model runtimes, distributed systems, RAG pipelines and multi-cloud infrastructure across AWS, Azure and GCP. Hiring is concentrated in the United States.
webAI uses Rust, C++ and Python with PyTorch, TensorFlow, JAX, ONNX and Transformers, Pinecone and Weaviate for vectors, and Kubernetes, Terraform, ArgoCD and Datadog across AWS, Azure and GCP.
Job posts point to edge AI synchronization systems, RAG pipelines, on-device inference optimization and quantization, MLOps deployment automation, an end-to-end developer platform, and public sector AI optimization.
webAI is headquartered in Austin, Texas, was founded in 2020, has 51–200 employees, and hires in the United States, mostly senior engineering and research talent.
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webAI'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.
