About
Qomplement builds an AI-native, agentic ERP for retail and logistics companies, automating procurement, inventory, freight, finance, and related workflows. Unlike legacy ERPs designed for manual operation, it is built for AI agents and claims to cut 95% of manual work while handling 100x more transactions with the same headcount.
Market
Qomplement competes in AI-native ERP and supply-chain operations automation, initially targeting high-volume retail and logistics workflows. Its positioning is an agentic, end-to-end system spanning procurement, inventory, freight, finance, and related operations, rather than a conventional human-operated ERP. It differentiates through connecting to existing systems, avoiding migration, deploying in about two months, and using outcome-based pricing, versus legacy ERP implementations that YC describes as taking about a year.
Qomplement primarily targets transaction-heavy retail and logistics companies, especially procurement and operations teams handling purchase orders, freight, inventory, invoices, and supplier workflows. The named buyer personas are the COO, VP of Operations, and CFO; the company also cites customers in energy and manufacturing, but does not disclose a specific employee- or revenue-size threshold.
At a Glance
Problem
Retail and logistics companies process enormous volumes of purchase orders, freight invoices, inventory updates, shipment confirmations, and related documents, yet these workflows still depend heavily on manual data entry. The result is a labor-driven scaling model: every new transaction requires more people, while repetitive work creates delays, errors, reconciliation problems, and pressure on finance and operations teams. The clearest use case is freight and billing operations, where qomplement says customers such as CFM previously downloaded complex PDFs from portals and emails, copied data into Excel, cleaned it manually, and uploaded it into their ERP.
Product / Service
qomplement is an AI-native, agentic ERP for supply-chain operations. Its agents read and structure documents, process purchase orders and invoices, onboard vendors, match transactions, update inventory, coordinate freight, reconcile accounts, and post transactions to the general ledger. Rather than requiring customers to replace their ERP, qomplement can run on top of existing systems; its engineers map the customer's workflows and configure agents around the company's documents and business rules.
The delivery model is software combined with hands-on implementation: qomplement says customers can go live in roughly two months, without a traditional migration or lengthy consulting project, and that pricing is based on results rather than seats or modules. The company claims a 95% reduction in manual work, capacity for 100 times more transactions with the same headcount, and average first-year customer savings above $500,000. In CFM's case, qomplement reports a 90% reduction in data-capture and cleaning time and automation of the complete billing workflow within the first week.
Market
qomplement competes in the emerging agentic or AI-native ERP market for supply-chain operations, initially targeting retail and logistics companies and expanding into document-heavy industries such as energy and manufacturing. Its stated alternatives are legacy enterprise systems including SAP, Oracle, and NetSuite: unlike those systems, which qomplement characterizes as built for humans to operate, qomplement is designed for AI agents to execute procurement, inventory, freight, finance, and related workflows end to end.
The company is an early-stage, active Y Combinator Spring 2026 startup founded in 2025, with a publicly listed team of seven headquartered in San Francisco. Its website features customer examples including CFM, Grupo Cruces, and Gran Chapur, with reported outcomes such as eliminated manual freight data entry, an 80%+ reduction in document work, and faster automated purchase-order generation. These case studies indicate early commercial traction, although the public materials reviewed do not disclose revenue, customer count, or enough information to determine whether qomplement is profitable or pre-revenue.
Founders & Leadership
Funding History
Dalus Capital, Kuiper (Mexico), Semilla Ventures, Y Combinator
Recent News
qomplement announced a partnership with Amazon Web Services, supported by $1 million in AWS cloud credits. The collaboration is intended to expand multi-region document processing, reliability, compliance, and API deployment for global customers.
qomplement described its enterprise OCR system, which combines computer vision, OCR, and vision-language models to process complex documents. The company reported over 98% field-level accuracy across industries and infrastructure running on AWS.
A roundup of Y Combinator's Spring 2026 companies listed qomplement among the batch's launched startups, citing the YC company directory as its source.
qomplement published an internal benchmark comparing its production API with Azure, Google, Textract, and Reducto on public datasets. The company emphasized zero-shot testing, no fine-tuning, and no cherry-picking, with additional benchmarking planned on OmniDocBench.
qomplement presented a customer case study describing automated billing and document processing for CFM. The company reported a 90% reduction in time spent on data capture and cleaning, along with end-to-end billing workflow automation.
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Get notified when they postBusiness Model
Qomplement prices its service based on customer results and savings rather than charging per seat or module. The company works with customers to build the workflows they need and monetizes the resulting operational value.