
Technology
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Supply Chain Automation
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YC W26
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Valuation:
Undisclosed

Last Updated:
March 24, 2026

Builds AI agents for the supply chain that automate data entry into ERPs, procurement workflows, and supplier management for manufacturing and distribution companies, built in days not quarters.
Pollinate connects to your ERP and enriches the data, then leverages this data to generate custom applications and agents bespoke to your workflows. Starting with procurement: automating three-way match (extracting supplier invoices from email and matching to correct PO and receipt across ERPs). Supply chain teams waste 40% of their time on manual work that their ERP should handle. Off-the-shelf tools force workflow changes; custom development takes 6-12 months. Pollinate builds the exact tools you need, automatically.
Technical blog and GitHub activity reveal investment in context engineering for LLM-powered agents and integration with ERP systems. The platform's ability to build bespoke applications in days (vs. 6-12 months for custom development) suggests rapid vertical expansion is imminent. The ontology-based approach to ERP data suggests they are building a reusable knowledge layer that could be applied across manufacturing verticals.
AI agents autonomously manage end-to-end procurement workflows—from purchase order generation to supplier communication and exception handling—replacing manual spreadsheet processes.
AI agents handle the entire buying process automatically so procurement teams stop drowning in spreadsheets and emails.
It's like replacing an entire floor of people copying numbers between spreadsheets with a tireless robot assistant that not only copies perfectly but also tells you when something smells off before it becomes a problem.
Bayesian neural networks generate probabilistic demand and supply forecasts with uncertainty quantification, enabling scenario planning and risk-aware inventory decisions across the supply network.
Instead of giving you one guess about future demand, the AI tells you the range of likely outcomes and how confident it is—so you can plan for surprises.
It's like having a weather forecast that doesn't just say "rain tomorrow" but tells you there's a 70% chance of drizzle, a 20% chance of a downpour, and a 10% chance you'll need an ark—so you can pack accordingly.
A multi-agent orchestration framework coordinates specialized AI agents across supply chain functions, with a reflection mechanism and explainable AI guardrails ensuring reliable, auditable autonomous decisions.
Multiple AI agents work together like a team, double-checking each other's work before making any supply chain decision—so nothing slips through the cracks.
It's like a team of specialists who each draft their part of a report, then a senior editor reviews every claim before it goes to print—except the editor never sleeps and checks everything in milliseconds.
Pollinate's founders combine hands-on experience building and scaling businesses with deep technical ability, having dropped out of academic programs to build the tech backbone of the supply chain. Their ontology-based approach to ERP data enrichment enables bespoke agent deployment in days rather than quarters, a speed advantage that off-the-shelf tools and custom development cannot match.