Agentic AI platform for dynamic pricing and inventory optimization in retail
Hypersonix builds an agentic AI platform (ProfitGPT) that automates pricing, promotions, demand forecasting, and inventory decisions for retail and eCommerce brands. The tech stack spans modern data infrastructure (Databricks, dbt, Delta Lake, RAG) paired with deep ERP/commerce connectors (NetSuite, Shopify, SAP Commerce Cloud, Blue Yonder), suggesting a data-integration-first architecture. Hiring is tilted toward sales (3 roles) and data (2 roles) over engineering (1 role), while pain points cite data integration challenges and US market scaling — indicating a go-to-market phase that depends on plugging into messy, fragmented customer systems.
Notable leadership hires: Sales Director
Hypersonix operates an agentic AI platform for mid-market and enterprise retail and eCommerce brands. The core product, ProfitGPT, translates raw operational data into pricing and promotion recommendations, running 24/7 to monitor performance and flag margin-protection opportunities. The company integrates deeply with ERP systems (NetSuite, SAP Commerce Cloud), commerce platforms (Shopify, Salesforce Commerce Cloud), and legacy demand-planning tools (Blue Yonder, Manhattan), turning them into unified input layers for AI-driven decision automation. Sales-led growth is underway, with active hiring in the US and India and a current focus on DTC and retail SaaS verticals.
Hypersonix uses Databricks, dbt, Delta Lake, and RAG for ML and data pipelines; Tableau, Power BI, and Looker for analytics; AWS, GCP, and Azure for cloud; and integrates with Shopify, NetSuite, SAP Commerce Cloud, Blue Yonder, and Manhattan for commerce and supply-chain data.
Hypersonix is headquartered in San Francisco, California and employs 51–200 people.
Hypersonix Inc.'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 →
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