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Ultralytics Platform

Connect YOLO and language models in a visual workflow

Use YOLO to decide which images need a closer look, ask a vision-language model to explain them, or collect selected images in a dataset for review.

Ultralytics Platform Agents canvas connecting an image, YOLO, a condition, a vision-language model, and an output block.
Agents canvas with connected Image, YOLO, Gate, vision-language model, and Output blocks.

Connect images, models, and actions on a visual canvas

Agents is a visual workflow builder for computer vision. Add blocks, connect an output to the next step, and branch from one condition to several actions — for example, save an image and notify Slack from the same gate.

  • YOLO, deployments, and language models: Run an official YOLO26 model, a trained workspace model, or a ready Platform deployment, then send matching images to a vision-language model.
  • Gates that filter detections: Continue when a class count crosses a threshold, or when confidence falls in a range you choose.
  • Inspect the Python: Open the generated workflow code at any time, and save a draft before or after you run it.
YOLO to vision-language model workflow describing a scene after a person is detected.

YOLO decides. A vision-language model explains.

Run YOLO first, then spend language-model calls only on the images that match. If no person is detected, the condition finishes without running the description branch.

  • Start with YOLO26 nano: The shared trial runs an official YOLO26 nano model so you can try a small workflow in seconds.
  • Your prompt, your provider: Choose a vision-language model and prompt. Add its key in Settings → API Keys; team workspaces use a key added by the workspace owner.
  • Your trained models too: Select a dedicated execution deployment to run a trained workspace model or a larger workflow.

What our clients say

The Ultralytics Platform has been a game changer for us. It makes it so easy for our data scientists to create datasets, train new models quickly using cloud compute, compare experiments with different model settings, and ultimately identify the best model for each problem. It has become our first stop for experimentation for object detection, instance segmentation, and semantic segmentation.

Tyler Biesel, Manager Software Engineering

Ultralytics YOLO is a key component of SK Godelius’ computer vision pipeline alongside multimodal sensing, giving us the accuracy to identify exactly which parts are failing, keeping workers safe and our inspections consistent.
Ultralytics YOLO models helped us boost our AI service implementation speed by 25.2%. They are easy to deploy and provide excellent real-world performance, delivering greater speed, accuracy, and scalability without compromising operational performance.
The ability to train and deploy Ultralytics YOLO models through the Ultralytics Python package is very solid. Combined with fast inference, it enables us to process images quickly and deliver real-time feedback on construction sites.
Integrating Ultralytics YOLO into our Instabase AI platform has been an easy and painless process. It helped accelerate the release schedule and enable us to deliver visual object recognition capabilities to our customers.
They transform visual data into actionable insights with exceptional accuracy and efficiency. By combining Ultralytics YOLOv8 with the IMX500 sensor from SSS (Sony Semiconductor Solutions Corporation), this partnership brings powerful, on-device AI capabilities that enhance real-time decision-making for businesses relying on high-performance visual data processing.

Wei Tang, Business Development Manager

Need a model for your workflow?

Train YOLO26 on cloud GPUs, then connect it in Agents.

1Annotate
2Train
3Deploy
Explore training

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Apply computer vision in automotive with Ultralytics YOLO models. Vision AI elevates road safety, driver assistance, and vehicle automation for smarter roads.
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Bring vision AI to smart agriculture with Ultralytics YOLO models. Power crop monitoring, livestock tracking, and precision farming for higher, smarter yields.
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Security & compliance

Enterprise-grade security, certified

ISO 27001 certified and SOC 2 attested, so your data stays protected in transit and at rest.

SOC 2 Type I

Attested against AICPA Security, Availability, and Confidentiality TSC

ISO 27001:2022

Certified information security management system

HIPAA

Security Rule self-assessment; BAAs for eligible Enterprise customers

GDPR & CCPA

Aligned with global data protection regulations

Run your first visual workflow

Start from a template on Ultralytics Platform. Connect YOLO, language models, and actions, then click Run.