Parspec builds AI software that helps MEP distributors and rep agencies quote projects and manage product data. Its stack pairs self-hosted LLM tooling (vLLM, Ollama, LiteLLM, Portkey) with Kubernetes and OpenTelemetry observability, which points to in-house model serving rather than a thin API wrapper. Current hiring is marketing-heavy and accelerating, focused on account-based programs, paid channels and HubSpot-run demand generation.
Parspec is a privately held company founded in 2021 and headquartered in the San Francisco Bay Area. It develops an AI-native platform for the construction materials supply chain, covering how products are discovered, quoted and sold. Its customers are MEP distributors and manufacturer rep agencies that run project-driven businesses. The product includes CPQ and submittal workflows built on organized product data. The company has 51–200 employees and currently hires in the United States.
Parspec runs on AWS and GCP with Kubernetes, LLM tooling such as vLLM, Ollama, LiteLLM and Portkey, a React/TypeScript frontend, and databases including PostgreSQL, MySQL, MongoDB, DynamoDB and Redis.
Yes. Hiring is accelerating and concentrated in marketing, with some sales coverage, spanning manager, mid and senior levels in the United States.
Parspec is building account-based marketing for enterprise segments, selling CPQ and submittal tools to rep agencies, turning manufacturer data partnerships into pipeline, and optimizing paid channels.
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Parspec'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.
