Co-Founder & CEO at IBIS Labs
IBIS
IBIS provides an AI-driven platform that organizes mission-critical logistics communications—quotes, statuses, and documents—for motor carriers and freight forwarders. The system reads emails and inboxes, extracts key data, builds shipment context, and drafts routine responses while keeping human operators in control. It starts with one user or workflow without requiring process mapping or integrations, and expands as trust grows.
- Logistics & Supply Chain
- Artificial Intelligence
- AI Agents
- Software Only
Updated 6 days ago
Funding
Funding not disclosed
across 1 round
ADBCCLDC+8RoundDateAmountValuationInvestors
Founders
Product
Problem
Trucking and freight forwarding operators receive a high volume of unstructured communications—emails, invoices, bills of lading, and status updates—that are scattered across inboxes and lack consistent context. This mess makes it difficult to extract key data quickly, leading to missed requests, delayed responses, and increased mental load for frontline staff.
Solution
IBIS offers an AI-driven platform that ingests operational messages and documents directly from existing inboxes and communication channels without requiring workflow changes or integrations. The system automatically extracts relevant information, enriches it with contextual data, and builds a unified view of each shipment's state. Operators see quotes, document statuses, and actionable insights on a clear dashboard, while the platform drafts routine replies and flags exceptions that need human judgment. The platform learns from user actions, continuously improving its understanding of workflow patterns and reducing repetitive manual work. As confidence grows, IBIS can be expanded to additional users, inboxes, and document flows, scaling with the organization's needs.
Target Audience
Primary customers are logistics operators, dispatch teams, and freight forwarding staff who handle daily inbound communications and need to streamline data extraction and response workflows.
Features
- AI extraction of key fields from invoices, bills of lading, and status messages across multiple inboxes
- Contextual enrichment that links requests, related documents, and prior decisions into a single shipment view
- Automated drafting of routine responses (e.g., status updates, quote confirmations) with a human-in-the-loop review step
- Exception detection and flagging for items that require operator judgment or customer care
- Incremental rollout starting with a single user or workflow, with seamless expansion to teams and additional communication channels
- Dashboard that presents quotes, document statuses, and actionable next steps in an at-a-glance format
- Open architecture that allows optional integration with TMS, ERP, or document repositories when needed