Embedded integration infrastructure for B2B SaaS and AI products
Paragon gives software companies embedded infrastructure to ship native third-party integrations, with connectors, managed auth, and SDKs aimed at AI use cases like tool calling and RAG ingestion. Its stack spans AWS, GCP and Azure with Kubernetes, Terraform and Kafka, signaling a multi-cloud deployment posture. Current hiring is minimal and focused on marketing and sales, pointing to go-to-market build-out rather than engineering expansion.
Paragon, founded in 2019 and headquartered in Los Angeles, builds an embedded integration platform that B2B software companies use to offer native integrations inside their own products. The platform bundles a library of pre-built connectors, fully managed authentication, and SDKs and APIs for developers. It positions integrations as a foundation for AI features such as agent tool calling and retrieval-augmented ingestion. The company is privately held with 11–50 employees and hires in the United States and Peru.
Paragon's stack includes TypeScript, Node.js, NestJS, PostgreSQL, Redis, Kafka, Kubernetes and Terraform, running across AWS, GCP and Azure, with Python, Ruby and AWS KMS also in use.
Paragon provides embedded integration infrastructure that lets B2B software products ship native integrations, with pre-built connectors, managed authentication, and SDKs supporting AI use cases like RAG ingestion.
Hiring is currently minimal and concentrated in marketing and sales at lead and senior levels, with roles in the United States and Peru.
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Paragon'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.