# Scandit: Smart Data Capture for the Enterprise
Scandit is an enterprise software company specializing in AI-powered smart data capture solutions that transform smartphones, tablets, fixed cameras, and drones into intelligent scanning devices.[4] The company enables businesses to capture barcodes, text, identity documents, and objects with unmatched speed and accuracy, automating workflows across retail, logistics, healthcare, transportation, and manufacturing sectors.[1][3]
Founded in 2009 and based in Zurich, Switzerland, Scandit has grown to serve over 2,100 customers worldwide, processing more than 50 billion scans annually across 150 million active mobile devices.[4] The company's core value proposition centers on dramatically accelerating frontline workflows—businesses can speed up scanning operations by 5x—while reducing operational costs, improving employee retention, and enhancing customer loyalty.[4] Rather than building proprietary hardware, Scandit provides flexible software that runs on existing smart devices, making it an accessible solution for enterprises of all sizes seeking digital transformation in data capture processes.
Scandit was founded in 2009 by three researchers from MIT, ETH Zurich, and IBM Research, bringing deep technical expertise in computer vision and data capture to a nascent market.[4] The founding team recognized that mobile devices were becoming powerful enough to replace specialized barcode scanning hardware, and they built software that could deliver enterprise-grade performance on consumer-grade devices. This insight proved prescient as smartphones and tablets proliferated in enterprise environments, enabling the company to capitalize on the trend of bring-your-own-device (BYOD) adoption in corporate settings.[2]
The company evolved from a research-driven startup into a comprehensive software platform business, gradually expanding its capabilities beyond barcode scanning to encompass ID verification, shelf intelligence, and AI-driven workflow automation. This progression reflects both market demand and the company's ability to integrate advanced machine learning into its core offering.
The Scandit AI Engine, built into every product, automatically adapts user experiences based on live data inputs and automates complex, repetitive tasks without requiring extensive custom coding.[6] This reduces implementation complexity and enables consistent, high-quality data capture across diverse real-world scenarios.
Beyond traditional barcode scanning, Scandit offers:
Unlike competitors tied to specific hardware ecosystems, Scandit runs on over 20,000 smart device models, including smartphones, tablets, wearables, fixed cameras, and drones.[6] This flexibility allows enterprises to choose the most appropriate device for each task without vendor lock-in.
The company provides dedicated customer success support, solution design, and integration assistance at every stage.[4] Scandit's infrastructure handles massive scale—50 billion scans annually—while maintaining ISO 27001 certification for security and privacy.[6]
Customer case studies demonstrate tangible results: VF Corp achieved 100% inventory accuracy for omnichannel orders, Staples Canada saved 18,500 associate hours through weekly pricing checks, and Stratix saw 50% faster shipment processing.[6]
Scandit operates at the intersection of several powerful trends reshaping enterprise operations. The digitization of frontline work—where warehouse workers, retail associates, and delivery drivers increasingly use mobile devices—creates massive demand for software that bridges physical and digital assets. As enterprises accelerate omnichannel retail, last-mile logistics, and supply chain visibility, the ability to capture accurate data in real time becomes a competitive necessity rather than a luxury.
The company also benefits from the maturation of mobile AI and computer vision. What was once impossible on smartphones—reliable barcode reading under poor lighting, simultaneous multi-barcode capture, document verification—is now standard. Scandit's AI Engine represents the evolution beyond simple pattern matching to contextual understanding, enabling workflows that adapt intelligently to real-world conditions.
Additionally, Scandit influences the broader ecosystem by normalizing software-based capture over hardware-dependent solutions. This shift reduces capital expenditure for enterprises and accelerates digital transformation timelines, particularly benefiting mid-market companies that previously couldn't justify specialized scanning infrastructure.
Scandit is well-positioned to capture expanding value as enterprises prioritize operational efficiency and frontline worker empowerment. The company's trajectory suggests continued growth in three directions: deeper penetration within existing verticals (retail, logistics, healthcare), expansion into adjacent use cases (autonomous robotics integration, real-time supply chain visibility), and geographic expansion beyond current strongholds.
The convergence of AI maturation, edge computing capabilities, and enterprise urgency around labor productivity creates a favorable tailwind. As workers become scarcer and more expensive, software that amplifies human capability—enabling one worker to accomplish what previously required two—becomes strategically essential. Scandit's ability to deliver measurable ROI (faster inventory tasks, fewer errors, reduced labor hours) positions it as infrastructure for the next generation of operational excellence.
The company's challenge will be maintaining innovation velocity while scaling support for an increasingly diverse customer base. Success will likely depend on how effectively Scandit evolves its AI Engine to handle emerging use cases—autonomous systems integration, predictive analytics, and cross-device orchestration—while keeping implementation complexity manageable for enterprise IT teams.
Scandit has raised $268.0M in total across 4 funding rounds.
Scandit's investors include Atomico, BoxGroup, CP Ventures, Energy Impact Partners, G2VP, GV, Ischyros New York, Lerer Hippeau, Sequoia Capital, Tiger Global Management, Alexis Bonillo, Avid Larizadeh.
Scandit has raised $268.0M across 4 funding rounds. Most recently, it raised $150.0M Series D in February 2022.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Feb 1, 2022 | $150.0M Series D | Atomico, BoxGroup, CP Ventures, Energy Impact Partners, G2VP, GV, Ischyros New York, Lerer Hippeau, Sequoia Capital, Tiger Global Management, Alexis Bonillo, Avid Larizadeh, Charlie Songhurst, Tom McInerney | |
| May 1, 2020 | $80.0M Series C | Atomico, BoxGroup, CP Ventures, Energy Impact Partners, G2VP, GV, Ischyros New York, Lerer Hippeau, Sequoia Capital, Tiger Global Management, Alexis Bonillo, Avid Larizadeh, Charlie Songhurst, Tom McInerney | |
| Jul 1, 2018 | $30.0M Series B | Atomico, GV, Ischyros New York, Lerer Hippeau, Sequoia Capital, Alexis Bonillo, Avid Larizadeh, Charlie Songhurst | |
| Jan 1, 2017 | $8.0M Series A | Insight Partners |
