The Machine Learning Lifecycle Simplified
No-Code AI IoT Platform Powers Easier Innovation & Faster Time-To-Production
Sense Streamlines End-to-End Machine Learning & Computer
Every step of the machine learning and computer vision workflow is made simple and fast within one no-code platform. Sense allows anyone to build and deploy AI IoT solutions to any cloud, the edge or on-premise.
Learn how Sense provides simplicity, consistency and transparency to AI/ML teams with enough power and depth for ML engineers yet easy enough to use for subject matter experts.
With A Highly Visual Step-By-Step Interface, Your ML Models Go From Prototype To Production In Days, Not Months
Connect and manage sensor streams & edge computing devices.
Create training datasets with version control directly from sensors.
Label video and images with a full-featured integrated toolset.
Select existing models or bring you own & train from a labeled dataset.
Manage edge and cloud model deployments from a single interface.
Sense Data Annotation
For your end-to-end computer vision project needs, our high-performance full-featured labeling toolset can be used seamlessly as part of your AI lifecycle management.
Or, sign up today for a FREE 30-day trial for our Sense Data Annotation tools.
Sense enables easy connection and management of all video cameras, IoT sensors, and edge devices needed for data collection to power AI IoT solutions of any size.
Learn how Sense provides centralized control for hardware monitoring, videos stream capturing, edge computing, and device scheduling from an easy to use interface.
Monitor the status of sensors, compute nodes & deployment events in real time.
Add cameras to capture video streams for data collection or running model inference.
Edge Compute Nodes
Manage compute nodes remotely, run and update ML models at the edge.
Device Groups & Mapping
Add devices to groups and map layouts for easier tracking and organization.
Sense provides easy data collection and robust dataset preparation tools to streamline and enhance this all-important phase for machine learning projects.
Learn how Sense makes data collection and management easier with video-to-frame conversion, version control, dataset building, and scheduled collection times.
Convert Video to Frames
Convert captured video streams into images to label for computer vision applications.
Dataset Version Control
Always keep track of what data your model was trained on with dataset version control.
Build Training Datasets
Select clips from data streams to build out robust training datasets for continuous ML.
Advanced scheduling options allow data to be collected only when needed, saving resources
Fully integrated within the Sense platform, Sense Data Annotation accelerates your computer vision projects with seamless accessibility to advanced tools for video and image labeling. This high-performance annotation toolset is also available for a low-cost subscription to specifically meet all your data annotation needs with a robust set of features.
Custom Label Schemas
Create label schema types for object detection, image segmentation, pose estimation, key points/feature points, captioning, and classification
ML Assisted Labeling
Save time and resources by using the built in smart labeling features: smart polygon selection, auto-labeling & label QA
Scale & sync projects with team management, dashboard progress, label queue / quantity, & speed tracking.
Data Export Formats
All major computer vision label formats are available for export: COCO, YOLO, Pascal
VOC & CreateML
Sense allows users the flexibility to build machine learning models within the platform, or users can bring their own model to manage and train on labeled datasets in the system.
Learn how Sense improves the machine learning workflow with smarter model training, version control, pre-built solutions, or the flexibility to use your own machine learning model.
Train and optimize models faster with built-in SmartML hyperparameter tuning.
Track model performance and understand how it was trained with model version control.
Use a pre-built model for an off the shelf solution or starting point for transfer learning.
Use Your Own Model
Upload your own models into sense to integrate with datasets and devices.
Easily deploy models to edge devices, any cloud, or on-premise.
Learn how Sense can allow anyone to deploy machine learning models with edge management, scheduled runtimes, performance tracking and cloud options.
Run ML on edge
Run machine learning models on Edge compute devices and run inference on data streams.
Gain efficiency and run models only when needed with easy runtime scheduling tools.
Track model performance and output using Sense performance tracking tools.
When you don’t need to run on the edge, create cloud-based nodes for model deployment.
Sense provides the features and capabilities enterprises need to flexibly integrate AI into their daily processes. A centralized knowledgebase for data insights, Sense makes AI easy, accessible, and invaluable for team collaboration across the enterprise—from data scientists and ML engineers, to business analysts, subject matter experts and executives. Sense offers data output to existing systems, reporting and analytics platforms, and if desired, Sense APIs can be accessed for highly custom and robust integrations.
Request a demo to learn more about how Sense can truly embed and deepen the benefits of AI across your enterprise.
Custom Rule-Based Actions
Automate actions, such as alerts, based on desired criteria when an event takes place or measurement thresholds are exceeded.
Reports & Analytics
Discover insights about deployed models and devices with flexible output to desired reporting and analytics platforms.
Integrate deployment outcomes online with cloud connections.
For deeper feature use and integration, access can be provided to the Sense API.
Join the AI for ALL Community
We’re not just a dev team behind the application, we’re users too. We know first hand the pain points of each step in the machine learning life cycle, so we built Sense from the ground up to eliminate bottlenecks and allow anyone to build powerful machine learning models for all industries. Connect with our engineers and community to see how Sense is being used.
How Can Sense work for you?
Contact us to request a demo or talk with our experts on how you can apply AI to your industry and use case.
AI for ALL
All AI/ML teams within organizations across all industries can benefit from computer vision AI-powered solutions.
Fever & PPE Detection
Occupancy & Distancing Monitoring
Cleaning & Disinfecting Compliance
Drug R&D Acceleration
Clinical Trial Optimization
Product/Goods Count & Tracking
Shipment On-Off Loading Monitoring
Product Compromise Detection
Oil & Gas
VOC Gas Leak Detection
Site Security Intelligence
APPLIED MACHINE LEARNING FOR FEVER DETECTION & PPE ENFORCEMENT
Across all industries, there’s an urgent need to accurately screen all people coming into a facility, or area, and automate the detection of fever and assure compliance with PPE policies.
Sense enables organizations to use the power of video cameras to help identify threats in real-time. Sixgill-built models allow for non-contact preventative monitoring and screening and real-time alerting and data logging of events. Models include thermographic fever scanning, mask (and other PPE) compliance detection.