Scandit Tech Stack

Computer vision platform for barcode, text, and ID capture across mobile and fixed devices

Software Development Zurich 201–500 employees Founded 2009 Privately Held

Scandit deploys computer vision (PyTorch, TensorFlow, C++) to enable data capture from barcodes, text, IDs, and objects across smartphones, handheld computers, drones, and fixed cameras. The stack—anchored in deep learning and mobile SDKs (iOS, Android, React Native, Flutter)—reflects a mature ML-first architecture. Current hiring acceleration spans engineering, marketing, and support, while active projects reveal internal focus on semantic document parsing and workflow automation, suggesting both product expansion and operational scaling challenges.

Tech Stack 32 technologies

Core StackSalesforce Python PyTorch React Native Flutter Zendesk Intercom Jira AWS GitLab Snyk TensorFlow C++ Figma NetSuite Workday Transformers Android iOS GCP Jax LinkedIn Instagram YouTube Oktopost Excel Google Sheets C++17 CMake SIMD+2 more

What Scandit Is Building

◆Challenges

Information extraction from printed documents
Semantic document parsing
Scalable demand creation
Renewing contracts and securing additional sales
Closing high-value projects
High conversion rate
Reducing snyk vulnerabilities
Manual ticket checking
Ticket visibility
Manual workflow friction

▲Active Projects

Semantic document parsing for customer use cases
Workflow automation roadmap
Inbound nurture cycle automation
Ai-augmented outbound engine
Digital twins of complex labels and identification documents
Evolution of current products and development of new ones
Scandit product area mobile app experiences
Product design system evolution
Visual direction of product area
Financial close management tool implementation

Hiring Activity

Accelerating20 roles · 15 in 30d

Department

Engineering

Marketing

Support

Sales

Design

Finance

Research

Seniority

Mid

Senior

Intern

Junior

Manager

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About Scandit

Scandit builds a smart data capture platform used by enterprise teams in retail, logistics, healthcare, and manufacturing to automate inventory, identity verification, and process workflows. The product captures and interprets physical data (barcodes, printed text, document IDs, object features) using on-device computer vision, with speed and accuracy as core differentiators. The company operates as a SaaS platform with direct enterprise sales, implementation support, and customer success services embedded in the go-to-market model. Scandit is privately held, based in Zurich, and serves mid-market to large enterprises globally.

HeadquartersZurich

Company Size201–500 employees

Founded2009

Hiring MarketsJapan, Switzerland, Poland, Finland, United Kingdom, United States

Frequently Asked Questions

What technology does Scandit use for computer vision?

Scandit's core stack includes PyTorch, TensorFlow, and C++ for model training and inference, with JAX and Transformers for advanced feature extraction. The platform runs on iOS, Android, React Native, and Flutter for mobile deployment, plus native C++17 for performance-critical paths.

What is Scandit working on?

Active projects include semantic document parsing for customer use cases, workflow automation roadmap, digital twins for document identification, and mobile app experience design. The team is also addressing internal pain points around manual ticket handling, ticket visibility, and Snyk vulnerability reduction.