Pare
Pare provides an AI-driven inventory management platform for surgery centers and community hospitals, automating supply counting, vendor follow-ups, and shortage forecasting. The system runs five parallel agents that track inventory, case-level movements, and vendor stock levels, with every number traced to a verified physical count. It requires no integration, no patient data, and no contract pricing, enabling deployment in about a week.
- Healthcare Technology
- AI Agents
- Logistics & Supply Chain
- Artificial Intelligence
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Hospitals and surgery centers often lack a system of record for incoming deliveries, creating a gap between what is ordered and billed versus what physically arrives. This discrepancy leads to facilities paying for supplies they never receive, a loss that goes unnoticed because the manual counting process is often skipped. On-hand quantities drift between formal inventories, causing last-minute case cancellations and surprise shortages.
Solution
Pare provides an AI-driven platform that closes the gap between a facility's financial records and its physical inventory by capturing delivery data at the receiving dock and continuously monitoring supply rooms. The system runs five agents in parallel—counting inventory locations, tracking what each surgical case pulls, monitoring stock levels, asking vendors about availability, and reading vendor order sheets—so on-hand quantities stay accurate between counts. A "Week ahead" view forecasts supply shortages before they occur, flagging which vendors are running short for scheduled cases. The platform requires no integration, no IT project, and no access to patient data or contract pricing, and is designed to be faster than not capturing the data to ensure consistent use. Every number displayed traces back to a physical count with a timestamp and person attached, never an estimate. Pare drafts vendor follow-ups but a person must press Send, with the database refusing any other path.
Target Audience
The primary customers are supply chain managers and administrators at surgery centers and regional community hospitals who need to reduce supply costs and eliminate losses from unreceived goods while keeping on-hand inventory accurate for scheduled cases.
Features
- AI-powered reconciliation that matches ordered and billed items against received quantities to identify shortages
- Zero-integration design that requires no IT project, no patient data, and no contract pricing, enabling fast security review and simple deployment
- Database-level schema that excludes patient and pricing information, guaranteeing data privacy by structure rather than policy
- Automated inventory counting that attaches a timestamp and person to every count, so each number traces to verified physical evidence
- Case-level movement tracking that logs every item pulled per surgical case, keeping on-hand counts accurate between formal inventories
- Proactive vendor inquiry system that automatically asks suppliers about stock availability and lead times, timestamping every reply and drafting follow-ups for unreplied vendors
- "Week ahead" readiness view comparing scheduled cases by specialty against vendor stock to raise shortages before the day of surgery
- Onboarding that ingests existing paper or Excel count sheets, preserving item names, references, and shelf order, with any uncertain merges flagged for user confirmation