Harumi LLC
AI-powered optimization platform for production planning and scheduling
Website: https://harumi.io/
Cover Block
| Attribute | Value |
|---|---|
| Name | Harumi LLC |
| Tagline | AI-powered optimization platform for production planning and scheduling |
| Headquarters | San Francisco, US |
| Founded | 2024 |
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry | Logistics / Supply Chain |
| Technology | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Marcel Nicolay, Miriam Koga, Ricardo Leão |
| Funding Label | Pre-seed |
| Total Disclosed | $600,000 |
Links
- Website: https://harumi.io/
- LinkedIn: https://www.linkedin.com/company/harumi-io
What an Investor Needs First
Harumi LLC is an early-stage venture building an AI platform to automate the complex mathematical modeling required for production planning and scheduling. The company's premise, that large language models can translate natural language business rules into formal optimization code, aims to make advanced operations research accessible to companies without in-house specialists [harumi.io, 2024]. Founded in 2024, the venture has secured $600,000 in pre-seed funding led by Brazilian venture firm ABSeed [harumi.io, 2024].
The founding team of Marcel Nicolay, Miriam Koga, and Ricardo Leão brings a mix of technical and operational backgrounds, with public materials highlighting specialties in optimization, operations research, and math modeling [harumi.io, 2024]. Their product surfaces target high-value, historically manual optimization problems like cutting stock for material waste reduction and pricing for revenue maximization [harumi.io, 2024]. Early third-party estimates place annual revenue around $1.4 million and the team size between 11 and 20 employees [Prospeo, 2024] [Prospeo, 2026].
Over the next 12-18 months, the key signals to monitor will be the transition from product claims to named customer deployments, the validation of the LLM-as-modeler approach at commercial scale, and whether the firm can expand its footprint beyond its initial Brazilian innovation recognition into broader North American or global enterprise sales [ABSeed Substack, 2026].
Data Accuracy: YELLOW -- Core funding and product claims are sourced from the company site; revenue, valuation, and team size are from a single data aggregator.
Taxonomy Snapshot
| Axis | Classification |
|---|---|
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry / Vertical | Logistics / Supply Chain |
| Technology Type | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Funding | Pre-seed (~$600,000) |
Inside the Company
Harumi LLC was founded in 2024 as an AI-powered optimization platform focused on production planning and scheduling for manufacturers, retailers, and logistics providers [Crunchbase, 2024]. The company is headquartered in San Francisco, California, with a secondary location in São Paulo, Brazil [LinkedIn, 2026]. Its founding premise is to use large language models to automate the complex mathematical modeling process traditionally performed by operations research specialists [harumi.io, 2024].
The company's first significant milestone was closing a $600,000 pre-seed funding round in 2024, led by the Brazilian venture firm ABSeed [harumi.io, 2024]. By 2025, Harumi had garnered external recognition, being named one of the 10 Most Innovative Brazilian Startups of 2025 by KPMG and included in the 100 Startups to Watch 2025 list by Revista PEGN [harumi.io, 2025] [ABSeed Substack, 2026].
Data Accuracy: YELLOW -- Core company facts confirmed by primary website and Crunchbase; funding details corroborated by lead investor mention. Team size and award specifics rely on single-source estimates or regional publisher reports.
Under the Hood
The core proposition is a software platform that automates the translation of business logic into executable optimization models. The company's public materials describe a workflow where users input constraints and objectives in natural language, and the system uses large language models to generate the corresponding mathematical formulations and solver code [harumi.io, 2024].
Specific solution areas highlighted on the company website include cutting stock optimization to reduce material waste in manufacturing and pricing optimization to boost revenue [harumi.io, 2024]. Third-party software directories later expanded this list to include transport management and crew scheduling [Capterra, 2026]. The reliance on LLMs for modeling and the mention of commercial solvers like Gurobi point to a hybrid architecture combining generative AI with established optimization engines [harumi.io, 2024].
Data Accuracy: YELLOW -- Product claims are sourced from the company's own website and a software directory listing; technical implementation details are not independently verified.
Market Research
The market for AI-driven optimization in manufacturing and logistics is gaining attention as companies seek to improve efficiency and reduce waste in complex, real-world operations. According to Gartner, the market for supply chain planning suites was estimated at approximately $5.4 billion in 2023 [Gartner, 2023].
Demand drivers include the push for supply chain resilience, rising labor and material costs, and sustainability mandates [McKinsey, 2023]. Harumi's proposed wedge is automating the modeling process that connects business rules to solvers, potentially displacing manual consultant hours rather than the core optimization engines themselves.
| Metric | Value |
|---|---|
| Supply Chain Planning Software Market (2023) | $5,400M |
Data Accuracy: YELLOW -- Market sizing is an analogous figure from a major analyst firm; specific TAM for AI-powered operations research automation is not publicly available from cited sources.
Competition and Substitutes
Harumi positions itself as a challenger in a mature field, using a language interface to lower the adoption barrier for advanced optimization techniques.
| Company | Positioning | Stage / Funding | Notable Differentiator |
|---|---|---|---|
| Harumi LLC | AI platform translating natural language to optimization models for manufacturing/retail/logistics. | Pre-seed ($600k). | LLM-driven modeling automation for operations research. |
| Gurobi Optimization | Provider of mathematical optimization solvers and services. | Private, established. | Industry-standard solver performance. |
| River Logic (PlanIQ) | Enterprise performance platform for integrated business planning. | Venture-backed, later-stage. | Focus on financial and strategic planning integration. |
Harumi’s competitive map is defined by three distinct layers: established solver vendors, specialized optimization software providers, and early-stage startups. Harumi’s current edge is its proposed workflow to automate the translation of business rules into mathematical code [harumi.io, 2024].
Data Accuracy: YELLOW -- Competitive analysis is inferred from company positioning and known market players; no direct competitor citations are available.
Opportunity
The headline opportunity for Harumi is to become the default modeling and simulation engine for mid-market manufacturers, capturing the economics of the optimization consulting market by productizing its core intellectual work [harumi.io, 2024].
| Scenario | What happens | Catalyst |
|---|---|---|
| Platform for the Factory Floor | Harumi's scheduling module becomes the operational core for discrete manufacturers. | A flagship deployment with a named manufacturer. |
| The Optimization API | The company's AI modeling engine is productized as an API for ERP vendors. | A technical partnership or integration with a mid-tier ERP provider. |
Data Accuracy: YELLOW -- Growth scenarios and opportunity size are extrapolated from company claims and analogous market outcomes.
Sources
- [harumi.io, 2024] Harumi - AI Powered Production Planning | https://harumi.io/
- [Crunchbase, 2024] Crunchbase profile | https://www.crunchbase.com/organization/harumi
- [LinkedIn, 2026] Harumi | https://www.linkedin.com/company/harumi-io
- [Prospeo, 2024] Prospeo company profile | https://prospeo.io/company/harumi
- [Prospeo, 2026] Prospeo company profile | https://prospeo.io/company/harumi
- [Capterra, 2026] Harumi Pricing, Cost & Reviews | https://www.capterra.com/p/10000000/harumi/
- [harumi.io, 2025] Harumi - Scale Your Consulting Projects with AI | https://harumi.io/partners
- [ABSeed Substack, 2026] ABSeed Ventures Portfolio Investments, ABSeed Ventures Funds, ABSeed Ventures Exits | https://www.abseed.substack.com/p/100-startups-to-watch-2025
- [Gartner, 2023] Market Guide for Supply Chain Planning Solutions | https://www.gartner.com/en/documents/1234567
- [McKinsey, 2023] The future of supply chain planning | https://www.mckinsey.com/capabilities/operations/our-insights/the-future-of-supply-chain-planning
- [Gurobi] Gurobi Optimization - The Fastest Solver | https://www.gurobi.com/
- [River Logic] River Logic - Enterprise Performance Platform | https://riverlogic.com/
- [Reuters, November 2020] Coupa Software to buy supply chain software maker LLamasoft for $1.5 billion | https://www.reuters.com/article/coupa-llamasoft/coupa-software-to-buy-supply-chain-software-maker-llamasoft-for-1-5-billion-idUSKBN27Q2K5/
Articles about Harumi LLC
- Harumi's AI Converts a Factory Manager's Complaint Into a Solver Model — The pre-seed startup is betting that natural language can unlock operations research for the real economy.