Sold by: Interra Systems
Deployed on AWS
Best in class - Automated Content Verification solution
Overview
Interra Systems' BATON is the leading M/L and AI enabled automated QC platform that provides comprehensive quality and compliance checks for VOD content, in the cloud / on-premises, for linear and streaming workflows. BATON is a hybrid QC solution that implements organizational QC policy to support a combination of automated and manual QC checks, the result is a well-integrated and efficient broadcast workflow. BATON is used by global broadcast, cable, telco, satellite, IPTV, over-the-top (OTT), and post-production markets and archiving companies working with file-based content.
Highlights
- 1. Comprehensive quality, compliance and regulatory checks like HDR, Slates, Blockiness, DPP, IMF, PSE, Violence and more 2. Automated and manual QC checks 3. Available in the cloud / on-premises, for linear and streaming workflows 4. Scalable architecture and high availability 5. Flexible Licensing: SaaS / Cloud / On-Prem / Hybrid
- 1. Extensive subtitles and CC verification 2. PSE correction 3. Loudness detection and correction 4. Audio language detection 5. Extensive time code related checks including start TC / discontinuity / GOP / LTC, VITC and more 6. Support for VAST formatted ads 7. Quick content profiling without verification
- 1. Supports SD, HD, UHD, 4K Mixed workflows 2. Built-in Test Plans for standards, such as DPP, iTunes, Netflix, Cable Labs, ARD_ZDF, Ingest, Playout and more 3. Seamless integration using SOAP, XML-RPC, and REST APIs 4. Integration with S3, Spectrum, Avid Interplay, HTTP Server, Dropbox and Google Cloud Servers
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Win2022 Microsoft Windows Server 2022 Base_2026-04-16
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
c6i.4xlarge Recommended | $8.00 |
m5.12xlarge | $10.00 |
m5n.12xlarge | $10.00 |
m5.2xlarge | $4.00 |
m5a.2xlarge | $4.00 |
c5.12xlarge | $10.00 |
c5a.12xlarge | $10.00 |
c6i.8xlarge | $10.00 |
c7i.8xlarge | $10.00 |
m6a.8xlarge | $10.00 |
Dimensions summary
You pay by the hour for the AWS EC2 instance type you run BATON Checker Server on. Each dimension maps to a specific instance size, so pricing scales with the compute power you choose. Options span two families: compute-optimized (c5, c5a, c6i, c6a, c6in, c7i, c7a) and general-purpose (m5, m5a, m5n, m5zn, m6a, m6i, m6in, m7a, m7i). Within each family, sizes range from 2xlarge up to 12xlarge. Hourly rates rise as instance size and capacity grow. You select the instance that fits your QC workload and pay only for hours used.
Top-of-mind questions for buyers
One unit is one running AWS EC2 instance of the size you select, billed per hour. The rate reflects that instance's compute capacity. You run the BATON Checker Server software on that instance and pay for each hour it operates. Larger instance sizes carry higher hourly rates.
Software charges meter running instance-hours only. When you stop the instance, the hourly software fee stops accruing. Stopped instances may still incur separate AWS storage fees for attached volumes, but those are billed by AWS, not by the software licence. You pay software charges only for hours the instance runs.
Compute-optimized instances (c-family) favor processing-heavy QC where frame-by-frame video decoding drives the load. General-purpose instances (m-family) balance compute and memory for mixed workloads. BATON decodes audio and video internally to run quality checks. Match the instance family and size to your file volume and check depth, then pay for hours used.
www.interrasystems.com
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Vendor refund policy
The refund will work as per mutual agreement with end customer.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
- Tech-stack Upgrade
- File Download and Performance Optimization
- Verification Improvements
- New Formats and Checks
- Multiple other enhancements and bug fixes
Additional details
Usage instructions
Please follow the steps given below to configure BATON in Auto-expansion mode:
- In BATON UI, navigate to Setup > Expansion > Cloud Server.
- Edit the AWS Settings and fill-in the required details.
Based on the expansion settings (queue size, duration) - BATON will automatically spin new Checker EC2 instance to take care of the peak loads. The Checker will automatically spin down once the load goes below the queue threshold.
Resources
Vendor resources
Support
Vendor support
BATON SUPPORT (408) 343-3384 (Monday - Friday, 9:00am - 5:00pm PST) Email: baton_support@interrasystems.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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