Harumi provides an AI-powered optimization platform that applies Operations Research to industrial challenges. The platform prescribes optimal scenarios for production planning, scheduling, and resource allocation to increase margins and reduce waste. It enables technical and business users to collaborate on models, turning operational data into actionable performance improvements.
Funding
$600K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Companies in manufacturing, retail, and logistics often struggle to leverage advanced mathematical optimization techniques due to the high cost of specialized consultants or in-house data science expertise. This limits their ability to identify and implement operational improvements that could significantly boost revenue and reduce costs.
Solution
Harumi provides an AI-powered platform designed to democratize access to mathematical optimization for real-economy businesses. The platform automates the generation of optimized operational scenarios, enabling companies to increase revenue and decrease costs. It facilitates collaboration between technical and business stakeholders, allowing for the refinement of optimization models with specific business context to enhance accuracy and drive operational efficiency. Harumi offers pre-designed templates and an AI chat assistant to simplify problem definition and model creation, making advanced optimization accessible without requiring deep technical expertise.
Target Audience
Harumi targets real-economy companies, specifically manufacturers, retailers, and logistics providers, seeking to improve operational efficiency and financial performance through advanced optimization.
Features
- AI-driven scenario generation for resource allocation and operational optimization.
- Collaborative environment enabling business and technical users to contribute context and refine models.
- Ready-to-use templates for common optimization problems in production planning, inventory management, logistics, and workforce scheduling.
- AI Chat assistant for real-time guidance on problem definition, variable selection, and constraint formulation.
- Full-text editor with mathematical notation support for documenting business context and mathematical models.
- Interactive content blocks for dynamic presentation of code, tables, variables, and images.
- Data preprocessing capabilities to connect and upload business data for AI analysis.