Problem

Linc addresses a recurring failure in enterprise AI transformation: companies often do not have a reliable picture of how work is actually performed. Workshops and documented procedures miss exceptions, tribal knowledge, and human decision logic, while system logs show activity without explaining the decisions between steps. The result is delayed deployments, rework, weak prioritization, and automation that is not grounded in operational reality.

The pain is especially acute in repetitive, unstructured workflows that still depend on email, documents, spreadsheets, and manual data entry. Linc’s initial logistics use case targeted inbound email and document processing, while its current examples focus on email-ticket triage and accounts-payable invoice processing. In one logistics deployment, Linc mapped more than 100 support workflows and enabled 50% of tickets to be auto-routed; in an AP deployment, it reports 70% less manual entry and 98% accuracy.

Product / Service

Linc is an AI-native process-intelligence platform that captures operational knowledge from screen recordings, video, meeting transcripts, documents, AI-led interviews, tickets, chats, email, and ERP or workflow logs. It turns those inputs into a continuously updated model of how work happens, identifies process variants, bottlenecks, control gaps, and exceptions, and ranks automation opportunities by ROI, feasibility, risk, and dependencies.

The platform then carries that context into implementation: teams can create governed workflows and AI agents tied to the evidence behind them, with human controls and measurable value targets. Linc connects to existing systems such as SAP, Oracle, Workday, NetSuite, Coupa, and ServiceNow rather than requiring a rip-and-replace migration. Its stated benefit is to replace calendar-heavy discovery with asynchronous AI-led capture, map more than 100 workflows in weeks rather than quarters, and move from a priority process to a production automation more quickly.

Market

Linc competes in the emerging AI-native process-intelligence and enterprise-transformation market, adjacent to process mining, process discovery, workflow automation, and systems-integration services. Its relevant alternatives include Celonis, SAP Signavio Process Intelligence, and UiPath Process Mining, which focus on using operational data to understand processes and identify optimization or automation opportunities. Linc’s positioning is broader and more implementation-oriented: it combines system evidence with human workflow capture, prioritization, governance, and deployment of agents.

The company is an early-stage, YC-backed startup founded in 2023. Public evidence shows an active company, a former logistics-focused product, and current enterprise use cases including a global logistics provider and a Latin American superapp, with reported automation and accuracy outcomes. PitchBook and VCBacked report approximately $500,000 raised in pre-seed funding, but public revenue is not disclosed, so the available evidence supports describing Linc as early commercial traction rather than definitively pre-revenue or scaled.