Alvys builds a cloud-native TMS for trucking carriers on a Microsoft-centric stack (C#, .NET, Azure, Cosmos DB) with React/Angular web and Flutter mobile clients. Its current hiring is concentrated in senior engineering and data roles and is accelerating. Together with the active adoption of Snowflake and Snowflake Cortex, alongside dbt and Fivetran, this points to a deliberate build-out of an LLM-driven data layer for freight operations.
Alvys is a privately held software company headquartered in Solana Beach, CA, with 51–200 employees. It sells a transportation management system to trucking fleets, covering dispatch, a driver mobile app, load board access, EDI and API integrations, and accounting functions such as invoicing and driver pay. AI capabilities are embedded across the platform to cut manual work for carrier teams. The product runs as a multi-tenant SaaS platform on Azure, and current hiring is focused in the United States.
Alvys runs on C#, .NET and ASP.NET on Azure, with Cosmos DB, PostgreSQL and Elasticsearch. Its frontends use React, Angular and Flutter, and its data tooling includes dbt, Fivetran, Snowflake, OpenAI, TensorFlow and PyTorch.
Yes. Alvys's hiring is accelerating and focused on senior engineering and data roles in the United States. The work centers on Snowflake Cortex, LLM-based data products and MLOps pipelines.
Alvys is implementing Snowflake Cortex for AI/ML and designing its Snowflake architecture. It is also building LLM-based data products and AI-driven freight booking optimization on its multi-tenant SaaS TMS.
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Alvys'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.
