Scandit offers AI‑powered Smart Data Capture that turns any camera‑enabled device—smartphones, tablets, wearables, fixed cameras, drones or robots—into a high‑performance scanner for barcodes, text and ID documents. Its Vision AI engine provides context‑aware, multi‑barcode and on‑device ID verification with fake‑ID detection, enabling real‑time inventory, shelf compliance and identity workflows while reducing reliance on dedicated hardware.
Funding
$150M 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.
9OWPFounders
Product
Problem
Enterprises in retail, logistics, and healthcare need to capture barcode, text, and ID data quickly and accurately, but traditional scanners are expensive, hardware‑bound, and require manual handling, leading to slow workflows, high error rates, and increased operational costs.
Solution
Scandit provides AI‑powered Smart Data Capture that turns any camera‑enabled smart device—smartphones, tablets, wearables, fixed cameras, drones or robots—into a high‑performance scanner. Its Vision AI engine adapts to lighting, motion and barcode conditions, enabling context‑aware barcode and text scanning, multi‑barcode batch capture, AR overlays, and on‑device ID verification with fake‑ID detection. Data is processed locally for security and can be streamed to cloud analytics for shelf‑level insights, inventory tracking, and compliance reporting. The SDKs and turnkey apps integrate with existing enterprise systems, allowing rapid deployment and reducing the need for dedicated scanning hardware.
Target Audience
Primary customers are enterprise retailers, logistics providers, and healthcare organizations that need scalable, real‑time data capture for inventory, fulfillment, shelf compliance, and identity verification, typically integrating the technology into internal apps or worker devices.
Features
- AI‑driven barcode and text recognition that works in any environment, with context‑aware scanning to eliminate unwanted reads
- Multi‑barcode batch scanning and augmented‑reality overlays for real‑time guidance during inventory, receiving and picking
- On‑device ID scanning and validation with up to 99.9% fake‑ID detection accuracy, supporting passports, driver’s licenses and other documents
- Hybrid data capture for shelf intelligence (ShelfView) using mobile devices, fixed cameras or autonomous robots, delivering 99.7% accurate shelf insights
- Cross‑platform SDKs (iOS, Android, Web, React Native, Flutter, etc.) and a no‑code Scandit Express app for fast integration
- Secure on‑device processing with ISO 27001 compliance and optional cloud analytics for dashboards and alerts
- Enterprise support throughout evaluation, integration and rollout, including custom UI adaptation and performance tuning