Hypersonix Inc. Tech Stack

Agentic AI for retail pricing, promotions, and inventory decisions

Software Development San Francisco, California 51–200 employees Privately Held

Hypersonix builds an agentic AI platform—ProfitGPT—that automates pricing, promotions, demand forecasting, and competitive intelligence for eCommerce and retail brands. The tech stack reveals a data-first architecture: Databricks + Delta Lake + dbt for transformation, paired with ML frameworks (scikit-learn, SageMaker, Vertex AI) and RAG for competitive matching. Sales-heavy hiring (5 of 11 active roles) suggests land-and-expand motion into enterprise retail, while the active project list shows a shift toward real-time batch workflows and agentic automation—moving beyond static recommendations toward continuous 24/7 decision support.

Tech Stack 23 technologies

Core StackFigma Databricks AWS Delta Lake dbt Python RAG pandas NumPy scikit-learn Vertex AI Amazon SageMaker Salesforce HubSpot QuickBooks NetSuite SQL Git Azure Machine Learning Excel Google Sheets Tally Zoho Books

What Hypersonix Inc. Is Building

◆Challenges

Stagnation and escalating costs
Unpredictable risks
Forecasting accuracy
Promotion effectiveness
Reducing cloud infrastructure costs
Optimizing data pipeline performance
Pricing strategy optimization
Improving revenue and profitability
Pricing strategy inefficiencies
Acquiring new customers

▲Active Projects

Annual sales and client account plans
Competitor + pricing ai
Lead-generation strategy optimization
End-to-end product on databricks for shopify store owners
Agentic workflows for pricing and promotion strategies
Real-time and batch data processing workflows
Rag-based competitive match identification
Demand forecasting and price elasticity modeling
Demand forecasting models
Pricing and promotion strategy models

Hiring Activity

Accelerating10 roles · 7 in 30d

Department

Sales

Data

Finance

Design

Seniority

Senior

Junior

Mid

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About Hypersonix Inc.

Hypersonix operates an agentic AI platform targeting high-growth and enterprise eCommerce and retail brands. The core product, ProfitGPT, consumes sales, inventory, competitive, and demand data to generate pricing and promotion recommendations while monitoring performance in real time. The company serves teams struggling with manual decision cycles, forecast accuracy, and margin protection. Engineering focuses on data pipeline optimization, demand forecasting, price elasticity modeling, and agentic workflows. The 51–200 person organization is headquartered in San Francisco and actively hiring across sales, data, and finance functions in the United States and India.

HeadquartersSan Francisco, California

Company Size51–200 employees

Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does Hypersonix use?

Databricks, Delta Lake, dbt, Python, SQL, scikit-learn, Amazon SageMaker, Vertex AI, RAG, pandas, NumPy, AWS, and Salesforce. The stack prioritizes data transformation and machine learning for demand forecasting and pricing optimization.

What is Hypersonix working on?

Real-time and batch data pipelines, demand forecasting models, price elasticity modeling, agentic workflows for pricing and promotions, RAG-based competitive matching, and end-to-end product builds for Shopify store owners.