Reframe
Product & Competitive Intelligence
AI agents automating end-to-end hardware procurement from BOM to vendor coordination.
Company Overview
Deploys AI agents to manage overseas hardware manufacturing, automating end-to-end procurement including BOM management, vendor coordination, and real-time collaboration natively integrated with Slack.
Competitive Advantage & Moat
Product Roadmap & Public Announcements
Reframe has publicly launched with AI agents that take a BOM as input and track down each part in its individual supply chain, from raw material vendor to assembly line. Whether placing Amazon orders or coordinating with overseas manufacturers for fabrication and international shipping, agents handle all communication, coordination, and logistics. When parts are delayed or specs change, the Reframe Assistant dynamically updates BOM and build plans, creates group chats between relevant stakeholders with context for fast decisions. Native Slack integration.
Signals & Private Analysis
Two-person founding team with deep Apple and DoorDash/Zoox backgrounds suggests strong technical depth. The Slack-native approach positions them to capture workflow data that could fuel a proprietary procurement intelligence layer. Conference and community signals hint at ERP integration work, predictive inventory forecasting, and potential expansion into compliance and ESG procurement scoring. Brad Flora is their primary YC partner.
Product Roadmap Priorities
AI agents autonomously parse Bills of Materials, map components to suppliers, and orchestrate the full procurement workflow from intake to delivery.
An AI agent reads your parts list, figures out who sells what, places the orders, and tracks everything so your engineers never have to chase a supplier again.
It's like having a hyper-organized personal assistant who reads your grocery list, checks every store's inventory and prices, places the orders, tracks the deliveries, and texts you only when something actually needs your attention.
AI agents autonomously manage all vendor communications, detect procurement issues in real time, and resolve delays or substitutions without human intervention.
An AI handles all the back-and-forth emails with your parts suppliers, catches problems before they derail your build, and fixes them automatically.
It's like having a multilingual procurement diplomat who never sleeps, never forgets a conversation, and only bothers you when a decision actually matters.
ML models analyze historical procurement data, supplier performance patterns, and market signals to predict supply chain risks and optimize purchasing decisions.
An AI learns from every past order and supplier interaction to predict which parts will be late or unavailable before it actually happens, so you can plan ahead.
It's like a weather forecast for your supply chain—instead of getting soaked by a surprise parts shortage, you grab an umbrella three weeks early.
Company Overview
Key Team Members
- Eric Wiener, Co-Founder
- Bryan Zin, Co-Founder
Founder Force Multiplier
Eric Wiener was a Machine Learning Engineer at DoorDash Labs and Zoox (autonomous vehicles), and a Software Engineer at Apple, combining deep ML expertise with hardware industry knowledge. Bryan Zin was a Product Design Engineer at Apple working on iPhone product development, giving him firsthand experience with the exact hardware procurement pain points Reframe solves. Both bring rare hands-on experience at the intersection of hardware manufacturing and AI.
Funding History
- 2025 | Eric Wiener and Bryan Zin co-found Reframe.
- 2026 | Accepted into Y Combinator Winter 2026 batch.
- 2026 | Public launch with AI agents for hardware procurement and Slack integration.
Competitors
- Traditional Procurement Platforms: SAP Ariba, Coupa, Jaggaer (Enterprise incumbents).
- AI-Native Procurement: Zip (intake-to-pay), Pactum AI (autonomous negotiation), Tonkean (process orchestration).
- Hardware-Specific: Arena Solutions (PTC), Fictiv, MacroFab, BaseFrame (YC), ProdTrace (YC).
- Spend Analytics: Suplari (acquired by Microsoft), Sievo.
