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Viso vs. Roboflow? Over 1 million engineers create datasets, train models, and deploy to production with Roboflow.

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Why are companies choosing Roboflow?

The turnkey solution for vision AI. Create datasets, train models, and deploy to production.

  • End-to-End Vision, One Platform

    From labeling to deployment - build, train, and launch with ease.

  • Built for Builders, Ready for Anything

    Interoperable infrastructure for developers to create custom vision solutions.

  • AI at the Edge, Without Limits

    Deploy seamlessly to any edge device and power real-time vision AI.

  • Roboflow Annotate labeling cans with AI box prompting

    Fast data labeling

    Label data quickly with a suite of AI-assisted annotation tools to augment human labeling or fully automate your data labeling pipeline.

  • Workflow blocks for notifications and integrations

    Build vision AI applications with ease

    Use a low-code open source platform to simplify building and deploying vision AI applications.

  • A team reviewing a detected pallet in a warehouse aisle

    Machine learning expertise, always

    Work with account-dedicated AI specialists and Field Engineers to accelerate development and optimize performance.

  • Photos from datasets across industries

    Datasets and models for every industry

    Access thousands of datasets and pre-trained models to kickstart your computer vision projects.

  • Logos of OpenAI, Microsoft, Meta, Anthropic, Google and Qwen

    Flexible model licensing

    Choose from a range of licensing options to fit your needs, whether for commercial use, private deployment, or collaboration across teams.

Want to use Viso and Roboflow?

  • Import images to Roboflow

    Bring data from Viso to Roboflow for model training.

  • Deploy with Roboflow

    No matter where you train your model, use Roboflow's trusted deployment solutions.

  • Automate data labeling

    Use AI labeling in Roboflow to automate 90% of human labeling.

OK I’m ready, how do I use Roboflow?

Roboflow makes it easy to build, train, and deploy custom computer vision models, even if you’re not a machine learning expert.

Start a free Roboflow account

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Our team will help you start solving business problems on the first call.

Ask us about:

  • Solution architecting
  • Live demonstration
  • Pricing and specifications
  • Feasibility assessment

Over 16,000 organizations build with Roboflow.

  • Rivian
  • Pella
  • Chobani
  • USG Corporation
  • BNSF Railway
  • American Woodmark
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Compare Roboflow and Viso

When comparing Roboflow and Viso, Viso offers a low-code platform focused on deploying prebuilt vision applications across enterprise infrastructure. Engineering teams building custom, production-grade models often choose Roboflow for its flexibility and control. Roboflow supports the entire computer vision lifecycle - from data labeling and model training to deployment on cloud, edge, or on-prem environments - without locking teams into rigid templates or workflows. With Roboflow, you can customize your models, iterate quickly, and integrate seamlessly with your existing systems. Engineers prefer Roboflow because it’s built for developers, giving them the tools and freedom to solve complex vision problems on their terms.

Roboflow

End-to-end computer vision platform (annotate, train, deploy)

Viso.ai

No-code Viso Suite — vision app builder with managed edge IoT infrastructure

Scale & Ecosystem

Roboflow

  • 1,000,000+ developers on the platform
  • 1,000,000+ public datasets on Roboflow Universe
  • 100,000+ pre-trained models hosted publicly
  • 25,000+ organizations building with the platform, including more than half of the Fortune 100 (publicly cited: GE Vernova, Rivian, Chobani, USG, Pella)

Viso.ai

  • Total disclosed funding of approximately $9.5M; seed round led by Accel
  • Headquartered in Schaffhausen, Switzerland
  • Publicly cited customers across 16 countries include IKEA, DPD, DHL, Orange, PwC, and A2A
  • No public catalog of community-contributed datasets or pre-trained models comparable to Roboflow Universe

Product Capabilities (Computer Vision)

Roboflow

  • End-to-end platform: dataset management, annotation, model training, hosted inference, and deployment
  • Native support for object detection, instance and semantic segmentation, image classification, keypoint detection, OCR, depth estimation, and multimodal tasks
  • Built-in foundation models including CLIP and SAM
  • Roboflow Workflows for chaining detection, classification, OCR, and business logic into a single pipeline
  • Active model registry covering RF-DETR, YOLO (v8 / v11 / v26), Detectron2, and other current architectures

Viso.ai

  • Supported tasks: object detection, image segmentation, keypoint detection, pose estimation, and face recognition / analysis
  • OCR, depth estimation, and multimodal vision tasks are not publicly documented as native capabilities
  • Product orientation is no-code application building plus managed edge / IoT deployment to thousands of devices, rather than developer-first model training
  • Architecture and model weights are abstracted from the user; no public registry of swappable model architectures (YOLO, RF-DETR, Detectron2)

Developer Experience

Roboflow

  • Open-source supervision library — model-agnostic utilities for detections, tracking, annotation, and evaluation
  • Open-source inference server — self-hostable HTTP inference for custom and foundation models
  • Native integrations with Hugging Face Transformers, MMDetection, and the broader open-source CV stack
  • Python SDK plus REST/HTTP APIs; standardized I/O lets teams swap model weights without changing application code

Viso.ai

  • Platform is explicitly positioned as no-code first; the documented default workflow is the Viso Suite visual builder
  • A public, mainstream Python SDK or self-hostable inference server is not part of the documented developer surface
  • No comparable open-source CV utility library in mainstream community use
  • Technology partnerships referenced with Samsung, Intel, HP Enterprise, AWS, and NVIDIA

Enterprise & Security

Roboflow

  • SOC 2 Type II compliant
  • HIPAA-compliant infrastructure with BAAs available
  • PCI DSS (SAQ A and AOC) compliance
  • Deployment options: managed cloud, customer VPC, on-premises, and fully air-gapped / offline (Docker-based) for firewalled environments
  • Training and inference can run on customer-owned bare metal or in the customer's own cloud account

Viso.ai

  • SOC 2, HIPAA, ISO 27001, and PCI DSS compliance status are not publicly documented on Viso.ai's website or trust resources
  • EU-based company; GDPR applies as a matter of jurisdiction but a public compliance attestation is not posted
  • Deployment options: managed cloud plus managed edge / IoT infrastructure for thousands of edge devices or virtual devices
  • Customer-VPC and fully air-gapped self-serve deployments are not publicly documented as standard offerings

Sources: roboflow.com, docs.roboflow.com, security.roboflow.com, universe.roboflow.com, github.com/roboflow, viso.ai, techcrunch.com, siliconcanals.com, pitchbook.com, crunchbase.com, cbinsights.com, tracxn.com. Figures reflect publicly available information as of May 2026.