platoseed
AI Copilot for Shippers, Carriers and Brokers
Linc is an AI agent to automate workflows in logistics. Our first product is an AI Copilot for logistics vendors that parses inbound (emails + documents + spreadsheets) and syncs this data with systems of record (ERPs/spreadsheets).
Linc AI provides an AI-native process intelligence platform that captures how work happens from recordings, documents, and transcripts to create living documentation, process maps, and transformation roadmaps. It connects to existing systems to mine processes, surfaces bottlenecks and ROI-driven initiatives, and deploys agents to implement changes.
The platform records and ingests work artifacts (screen recordings, videos, meeting transcripts, emails, tickets) and unifies them into living SOPs and process maps. It connects to enterprise tools (Zendesk, Jira, Slack, Outlook, SAP/Oracle) to mine actual processes, identify variants and bottlenecks, and provide conformance checks. It allows planning of a transformation portfolio with ROI-ranked initiatives, cross-department dependencies, and a phased roadmap. It ships agents that are grounded in real captured workflows (self-hosted or in VPC) to implement changes, with an emphasis on async AI-led interviews and documentation-first deliverables (SOPs, roadmaps).
Who itβs for: Enterprises undergoing large-scale transformation (enterprise transformation teams across multiple departments and acquisitions) seeking to map actual work, identify ROI-driven automation opportunities, and deploy agents to enact changes.
Shows traction through named deployments and ROI-focused results (e.g., multiple customer case results cited), ongoing product capabilities (self-hosted/VPC options), and enterprise adoption indicators; mentions SOC 2 alignment and live deployment of agents.
Solving hard problems @ Linc AI. Interested in algorithms, data and ML.
Automating logistics data integrations @ Linc AI. Passionate about AI and the supply chain economy.
Building Linc AI. Interested in AI and decision-making.

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