Sold by: TaskWatch.ai
Deployed on AWS
TaskWatch Attntiv - Self Service Computer Vision Platform
Overview
TaskWatch's Attntiv platform delivers computer vision workflow automation for businesses. Attntiv AI cloud allows non-technical business users to define, train, and deploy the most complex custom artificial intelligence / computer vision models with edge computing with the help of AWS Panorama service.
A secure edge CV appliance from AWS stays within your network and video feeds from your existing security system cameras are analyzed in real time via custom AI models that are auto generated to detect events of interest to the business. These events are defined and analyzed per business rules that impact efficiency, safety, improved experiences or any other metric that is important to the business.
With TaskWatch's Attntiv platform customers need not have prior knowledge of Artificial Intelligence systems - Use the simple Attntiv web interface to set up the edge appliance and automate your Tag-Train-Deploy processes.
Once Business Events are detected in the video stream, TaskWatch's integrated Connected Worker Platform takes over to automated response workflows. Whether you need employees to respond to a critical event on the manufacturing line or an autonomous material handling vehicle needs to move product, you can automate processes with our no-code platform.
Highlights
- Self service platform on the cloud to deploy custom computer vision workflows
- Non Technical business users can automated the process of deploying custom AI models for computer vision
- TaskWatch's Connected Worker capability integrates with custom computer vision events as well as with IoT Hubs, Robot control systems, ERP systems and even custom software systems to initiate collaborative workflows to mitigate business risks and gain insights into operational details.
Details
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Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
PlatformLicense | Annual Platform License and Enterprise Support | $6,000.00 |
The following dimensions are not included in the contract terms, which will be charged based on your usage.
Dimension | Cost/unit |
|---|---|
Cost per month for active users | $10.00 |
Cost per month for video streams being analyzed by AI models | $50.00 |
Cost per month for AI application being run on each video stream | $50.00 |
Cost per month for images saved for training jobs | $0.001 |
Cost per month for saving each trained model | $5.00 |
Cost for training AI model per hour. Typical: 8 hrs on ml.p3.2xlarge. | $4.50 |
Dimensions summary
This listing uses a contract model with usage-based dimensions plus an annual platform license. You pay a yearly Platform License for access and enterprise support. On top of that, monthly charges scale with how you use the platform. These include per active user, per video stream analyzed by AI models, and per AI application run on each stream. Storage charges apply per image saved for training and per trained model saved. Model training is billed hourly, with a typical job running eight hours. Each dimension bills independently, so your total reflects actual usage.
Top-of-mind questions for buyers
A video stream is a single camera feed processed by the platform. Each feed analyzed by AI models counts separately. The per-stream charge applies to every feed under analysis, while the per-application charge applies to each AI application running on that feed. Both charges apply at the same time.
Training is billed per hour only while a model trains. A typical job runs about eight hours on a GPU instance. Storage charges meter monthly: one rate per image saved for training and another per trained model saved. You stop paying training hours when the job ends, but storage continues each month.
Your monthly cost grows with active users, video streams under analysis, and AI applications run per stream. More cameras and more applications per camera raise the bill most. Storage for training images and saved models adds smaller recurring charges. The annual Platform License is a separate fixed yearly fee for access and support.
www.taskwatch.com
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Resources
Support
Vendor support
Worldwide technical support for all phases of product deployment and ongoing use. support@TaskWatch.com
AWS infrastructure support
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