Timbeter offers an AI‑driven mobile app that extracts log dimensions and volume from a single photograph, delivering measurements with under 2 % error. Results sync to a secure cloud dashboard, can be exported to Excel, and are accessible via REST API for integration with ERP and accounting systems. The platform serves forest owners, logging companies, and timber processors that require accurate, auditable volume data for logistics and regulatory compliance.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
FIFounders
Product
Problem
Timber measurement in logging operations relies on manual calculations or bulky equipment, which are labor‑intensive, error‑prone, and difficult to audit. Inaccurate volume and diameter data lead to sub‑optimal logistics, pricing disputes, and limited traceability for regulators and buyers.
Solution
Timbeter delivers an AI‑driven mobile app that extracts log dimensions and volumes from a single photograph taken on a smartphone or tablet. The algorithm detects individual logs, computes diameters, pile density, and total cubic meters, then syncs the results to a secure cloud dashboard. Users can edit measurements, attach supplemental images, and generate Excel reports for downstream systems. Real‑time dashboards provide inventory overviews, defect marking, and duplicate detection, enabling transparent, auditable data that can be shared instantly with buyers, logistics planners, or regulatory bodies. The platform also offers API hooks for ERP and accounting integration, supporting end‑to‑end digital supply‑chain workflows.
Features
- Convolutional‑neural‑network model that identifies each log in a pile and calculates diameter, length, and volume with < 2 % error margin.
- Panorama and off‑line capture modes for large piles or remote sites without cellular connectivity.
- QR‑code detection and custom field support for linking measurements to bills of lading, species codes, or quality grades.
- Defect marking tool that tags compromised logs and automatically adjusts volume calculations.
- Cloud‑based dashboard with real‑time inventory views, duplicate‑measurement alerts, and Excel export.
- Public REST/Web API compatible with SAP, NetSuite, IFS, and other ERP systems for seamless data flow.
- Role‑based access control and end‑to‑end encryption to meet industry data‑security standards.
- Mobile SDK allowing integration of Timbeter’s measurement engine into existing field‑service apps.