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 TPM-Windows_Server-2022-English-Full-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.2xlarge Recommended | $10.00 |
c6id.8xlarge | $10.00 |
c6a.8xlarge | $10.00 |
c5.2xlarge | $10.00 |
c5d.2xlarge | $10.00 |
c6i.4xlarge | $10.00 |
m6a.2xlarge | $10.00 |
c5a.8xlarge | $10.00 |
c5a.2xlarge | $10.00 |
c6id.2xlarge | $10.00 |
Dimensions summary
You pay by the hour for the AWS EC2 instance type you run BATON Verification Manager on. Each dimension maps to a specific instance size, so pricing scales with the compute you choose. The options span compute-optimized (c-family) and general-purpose (m-family) instances in 2xlarge, 4xlarge, and 8xlarge sizes across several generations. Larger instance sizes carry higher hourly rates because they provide more processing capacity. You select the instance that matches your QC workload and only pay for the hours you use, with no upfront commitment.
Top-of-mind questions for buyers
Each dimension bills one running EC2 instance of that named type per hour. A dimension like c6i.4xlarge covers a single instance of that size. Charges accrue while the instance runs. Larger sizes such as 8xlarge provide more processing capacity and carry higher hourly rates than 2xlarge or 4xlarge sizes.
Software charges meter running instance-hours only. When you stop the instance, the hourly software charge stops accruing. Stopped instances may still incur underlying AWS storage fees for attached volumes, but those are separate from the BATON usage charge. You pay only for the hours the instance runs.
BATON runs frame-level automated QC checks that are processing-intensive, so compute-optimized c-family instances suit heavy verification loads. General-purpose m-family instances offer more memory relative to compute for mixed workloads. Each dimension bills independently by the hour, so you match the instance family and size to your QC throughput needs.
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
Mention the AMI ID for the Verification Manager in the BATON Auto-expansion settings. BATON will auto-pick this AMI and spin an instance as and when required.
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.
Updated weekly
By Interra Systems
By Bitmovin
By Touchstream
Top
10
In Computer Vision
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50
In Video
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In Media & Entertainment, Streaming solutions
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Machine Learning and AI-Enabled Quality Control
Automated quality and compliance checks powered by machine learning and artificial intelligence for content verification across VOD, linear, and streaming workflows
Comprehensive Content Verification Checks
Support for extensive quality checks including HDR, slates, blockiness, DPP, IMF, PSE, violence detection, subtitles, closed captions, loudness detection, audio language detection, and timecode validation
Multi-Resolution and Format Support
Capability to process SD, HD, UHD, and 4K content with built-in test plans for standards including DPP, iTunes, Netflix, Cable Labs, ARD_ZDF, ingest, and playout workflows
Hybrid Deployment Architecture
Available deployment options including cloud-based, on-premises, and hybrid configurations with scalable architecture and high availability for broadcast, cable, telco, satellite, IPTV, and OTT workflows
Multi-Protocol API Integration
Seamless integration capabilities using SOAP, XML-RPC, and REST APIs with support for S3, Spectrum, Avid Interplay, HTTP Server, Dropbox, and Google Cloud Servers
Multi-Codec Support
Supports encoding with multiple codecs including AV1, VP9, HEVC (H.265), H.264, and legacy codecs, with multi-HDR support including Dolby Vision for enhanced content quality.
Advanced Encoding Optimization
Implements proprietary Per Title, Per Shot, and Multiple Pass encoding techniques to deliver optimal video quality at the lowest possible bit rate, reducing CDN and storage costs.
Distributed Processing Architecture
Utilizes distributed split and stitch architecture to enable rapid content encoding and seamless asset turnaround for quick availability.
Content Protection and DRM Integration
Integrates with over 15 multi-DRM and watermarking providers to secure content delivery with support for resolutions up to 8K ultra-high definition (UHD).
Auto-Scaling Infrastructure
Provides automatic scaling capabilities with container provisioning and orchestration to handle usage peaks and valleys without manual server management, with pre-integration to Amazon S3 and Amazon CloudFront.
CDN Performance Monitoring
Active monitoring and verification of CDN performance and availability metrics across multiple CDN providers including Akamai, Cloudfront, Fastly, Lumen, and Limelight
Proprietary Data Sharing Integration
Proprietary data sharing capabilities with leading CDN providers to enable rapid problem identification and resolution
Root Cause Analysis
Visual analysis tools for diagnosing and identifying root causes of CDN performance issues through intuitive interface requiring minimal clicks
Real-time Issue Detection
Detection and identification of underperforming CDNs before customer impact occurs through continuous monitoring
Multi-CDN Compatibility
Support for monitoring and management across any CDN provider with established partnerships and integration capabilities
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