Back to Blog
Request the Sima Labs × Dolby Hybrik Technical Whitepaper: What’s Inside and How to Use It
Request the Sima Labs × Dolby Hybrik Technical Whitepaper: What's Inside and How to Use It
Modern streaming teams searching for the Sima Labs Dolby Hybrik technical whitepaper can stop scrolling: this guide previews the architecture, benchmark tables and configuration checklist you'll find inside the download.
Why the Whitepaper Is a Must-Read for Modern Media Teams
The streaming landscape demands immediate optimization. With the video processing platform market projected to grow from USD 9.99 billion in 2025 to USD 38.85 billion by 2035, media teams need proven solutions that deliver results today, not promises for tomorrow. The Video Processing Platform Market grew from USD 7.74 billion in 2024 to USD 8.70 billion in 2025.
Sima Labs' integration with Dolby's cloud media processing service addresses this urgency head-on. The whitepaper documents how SimaBit's AI preprocessing engine delivers 22% or more bandwidth reduction on Netflix Open Content, YouTube UGC, and the OpenVid-1M GenAI set without touching existing pipelines.
This isn't theoretical. The technical documentation provides the exact blueprint streaming teams need to replicate these results in their own Hybrik workflows, complete with API configurations and performance benchmarks that prove the integration works at scale.
Inside the Architecture: Where SimaBit Sits in a Hybrik Job
The whitepaper's architectural diagram reveals exactly how SimaBit integrates into Hybrik's processing pipeline. As the documentation explains, "A Hybrik Job is composed of Elements and Connections" where Elements are the individual processing steps and Connections define how they link together.
SimaBit slots in as a preprocessing Element before the transcoding stage. The engine "installs in front of any encoder - H.264, HEVC, AV1, AV2, or custom" so teams keep their proven toolchains while gaining AI-powered optimization. This positioning allows SimaBit to analyze and optimize frames before they hit the encoder, maximizing efficiency without disrupting existing workflows.
The architecture leverages Hybrik's RESTful API, where "every element of the Hybrik workflow can be managed" through JSON-based configurations. This means SimaBit operates within Hybrik's native framework, not as a bolt-on solution requiring custom integration work.
API & JSON Flow
The whitepaper details the precise REST/JSON calls required for SimaBit integration. Hybrik's "API uses JSON structures" for defining each element, with all submissions via standard HTTP commands.
The typical workflow follows this sequence: "Step 1 - Authenticate User (returns security token used in following calls) Step 2 - Create Job (submits your job in JSON format) Step 3 - Get Job Info (tracks status of your job) Step 4 - Get Job Result". SimaBit's preprocessing task inserts seamlessly into Step 2, requiring just a few additional JSON parameters to enable AI optimization.
Benchmark Tables: 22 %+ Bitrate Savings & Dolby Vision Compliance
The whitepaper's benchmark section delivers hard numbers that matter to streaming teams. Independent testing shows "advanced video processing engines can reduce bandwidth requirements by 22% or more while maintaining perceptual quality".
Specific performance metrics include:
SimaBit's AI preprocessing "achieves 22% or more bandwidth reduction on diverse content sets, with some configurations reaching 25-35% savings" when combined with modern codecs
Dolby Vision support through "Hybrik version 1.223" which introduced a simplified workflow
Objective gains measured in BDRATE percentage, with "per-clip gains can hit over 14.89%" on specific content types
Proxy-based approaches achieving "80% of these gains with over 10x improvement" in compute load
The whitepaper confirms compatibility with Dolby Vision Profiles 5 and 8.1, essential for HDR content delivery. This AI-driven approach "optimizes the bitrate based on the content's complexity", significantly reducing computational steps compared to traditional fixed-bitrate encoding.
Step-By-Step Configuration Checklist
The whitepaper's setup section walks through every configuration step required to enable SimaBit within Hybrik. The process starts with gathering "two sets of credentials and API settings: Server URL, OAPI key and secret".
Core configuration requirements include:
Locating API credentials: "The Server URL (API Endpoint base URL only) as well as the OAPI key and secret can be found in the Hybrik Portal under Account > Info > API Details"
Setting file locations with proper storage provider definitions
Configuring JSON job structures that incorporate SimaBit's preprocessing task
The documentation emphasizes that "enabling SimaBit is a three-step process": fetch your Hybrik credentials, prepend the SimaBit SDK task to your existing JSON job, and run the job. Hybrik spins up compute in your VPC while SimaBit optimizes frames, delivering instant bitrate savings with zero changes to encoder presets.
Security & VPC Best Practices
The whitepaper highlights critical security considerations for production deployments. As documented, "all storage and computing takes place in your own VPC", resulting in the highest security and lowest cost. This architecture ensures media files never leave your secure cloud environment during processing, maintaining compliance with enterprise security requirements.
Workflows & Use-Cases Unlocked by the Integration
The whitepaper showcases practical applications where SimaBit plus Hybrik delivers immediate value. Major studios already trust the platform - "companies like Sony, Paramount, HBO" rely on Hybrik for their workflow needs.
Key use-cases documented include:
Live sports and concert streaming where "generative AI video models act like a smart pre-filter" predicting perceptual redundancies and reconstructing fine detail after compression
VOD libraries where SimaBit achieved "a 22% average reduction in bitrate, a 4.2-point VMAF quality increase, and a 37% decrease in buffering events" in tests
Multi-format delivery leveraging Hybrik's support for Dolby Vision and Atmos alongside SimaBit's codec-agnostic optimization
The whitepaper demonstrates how this combination addresses real-world challenges, from reducing CDN costs to improving viewer experience through reduced buffering.
Download the Whitepaper or See a Live Demo
The complete technical whitepaper provides everything engineering teams need to evaluate and implement SimaBit with Dolby Hybrik. Beyond the architectural diagrams and benchmark data previewed here, the full document includes detailed JSON examples, troubleshooting guides, and optimization recommendations.
AI-powered scheduling tools have revolutionized how brands approach timing - the same principle applies to streaming infrastructure decisions. The whitepaper shows why leading platforms are moving now, with AV2 projected to achieve 30-40% better compression than AV1 by 2030.
"AI has become a dominant topic" in video streaming, and this whitepaper provides the technical roadmap for implementing it today. Request your copy to access the complete configuration details, performance benchmarks, and implementation timeline that have helped streaming teams achieve 22%+ bandwidth savings in production.
Conclusion: Your Shortcut to Future-Proof Streaming
The Sima Labs × Dolby Hybrik technical whitepaper represents more than documentation - it's a proven blueprint for immediate streaming optimization. With "our technology delivers better video quality, lower bandwidth requirements, reduced CDN costs", teams can implement these gains without disrupting existing workflows.
The integration of SimaBit with "Dolby's cloud media processing service" creates a powerful combination that addresses today's streaming challenges while preparing for tomorrow's demands. As the whitepaper demonstrates, SimaBit "installs in front of any encoder" ensuring compatibility with whatever codec evolution brings.
For streaming teams ready to move beyond incremental improvements to transformative optimization, this whitepaper provides the technical foundation. Download it today to discover how SimaBit plus Hybrik can reduce your bandwidth costs by 22% or more while improving viewer experience - all with a configuration that takes hours, not weeks, to implement.
Frequently Asked Questions
What is inside the Sima Labs and Dolby Hybrik technical whitepaper?
The whitepaper includes an architectural diagram that shows where SimaBit runs in a Hybrik job, step-by-step API and JSON configuration examples, and benchmark tables demonstrating 22%+ bitrate savings. It also covers Dolby Vision compatibility, a configuration checklist, security and VPC best practices, troubleshooting tips, and optimization recommendations.
How does SimaBit integrate with Hybrik without changing my encoder presets?
Hybrik jobs are built from Elements and Connections, and SimaBit is inserted as a preprocessing Element ahead of the transcode step. It works with H.264, HEVC, AV1, AV2, and custom encoders, enabled by a few additional JSON parameters during the Create Job step in Hybrik’s REST API, so your proven encoder presets remain intact.
What performance improvements should I expect, and how are they measured?
Teams typically see 22% or more bitrate reduction at equal or better perceptual quality across diverse content sets, with some configurations reaching 25–35% when paired with modern codecs. Results are tracked using metrics such as BDRATE and VMAF, and the workflow supports Dolby Vision Profiles 5 and 8.1 in Hybrik.
Is the SimaBit and Hybrik workflow secure for enterprise deployments?
All storage and compute run inside your own VPC when using Hybrik, keeping media within your cloud boundary. The whitepaper outlines credential management, least-privilege practices, and secure storage configuration to meet enterprise security and compliance requirements.
How do I enable SimaBit in Hybrik and where can I request the whitepaper or a demo?
Enabling SimaBit is a three-step process: obtain Hybrik API credentials, prepend the SimaBit SDK task to your existing JSON job, and run the job so Hybrik spins compute in your VPC while SimaBit optimizes frames. You can request the technical whitepaper and a live demo on the Sima Labs site; the integration availability is also described in our announcement at https://www.simalabs.ai/pr.
Sources
https://www.rootsanalysis.com/video-processing-platform-market
https://researchandmarkets.com/report/video-processing-solution
https://professional.dolby.com/technologies/cloud-media-processing/customers
https://www.simalabs.ai/resources/how-generative-ai-video-models-enhance-streaming-q-c9ec72f0
https://www.simalabs.ai/resources/ai-auto-schedule-instagram-posts-optimal-times
https://www.simalabs.ai/resources/ai-enhanced-ugc-streaming-2030-av2-edge-gpu-simabit
https://bitmovin.com/downloads/assets/bitmovin-8th-video-developer-report-2024-2025.pdf
Request the Sima Labs × Dolby Hybrik Technical Whitepaper: What's Inside and How to Use It
Modern streaming teams searching for the Sima Labs Dolby Hybrik technical whitepaper can stop scrolling: this guide previews the architecture, benchmark tables and configuration checklist you'll find inside the download.
Why the Whitepaper Is a Must-Read for Modern Media Teams
The streaming landscape demands immediate optimization. With the video processing platform market projected to grow from USD 9.99 billion in 2025 to USD 38.85 billion by 2035, media teams need proven solutions that deliver results today, not promises for tomorrow. The Video Processing Platform Market grew from USD 7.74 billion in 2024 to USD 8.70 billion in 2025.
Sima Labs' integration with Dolby's cloud media processing service addresses this urgency head-on. The whitepaper documents how SimaBit's AI preprocessing engine delivers 22% or more bandwidth reduction on Netflix Open Content, YouTube UGC, and the OpenVid-1M GenAI set without touching existing pipelines.
This isn't theoretical. The technical documentation provides the exact blueprint streaming teams need to replicate these results in their own Hybrik workflows, complete with API configurations and performance benchmarks that prove the integration works at scale.
Inside the Architecture: Where SimaBit Sits in a Hybrik Job
The whitepaper's architectural diagram reveals exactly how SimaBit integrates into Hybrik's processing pipeline. As the documentation explains, "A Hybrik Job is composed of Elements and Connections" where Elements are the individual processing steps and Connections define how they link together.
SimaBit slots in as a preprocessing Element before the transcoding stage. The engine "installs in front of any encoder - H.264, HEVC, AV1, AV2, or custom" so teams keep their proven toolchains while gaining AI-powered optimization. This positioning allows SimaBit to analyze and optimize frames before they hit the encoder, maximizing efficiency without disrupting existing workflows.
The architecture leverages Hybrik's RESTful API, where "every element of the Hybrik workflow can be managed" through JSON-based configurations. This means SimaBit operates within Hybrik's native framework, not as a bolt-on solution requiring custom integration work.
API & JSON Flow
The whitepaper details the precise REST/JSON calls required for SimaBit integration. Hybrik's "API uses JSON structures" for defining each element, with all submissions via standard HTTP commands.
The typical workflow follows this sequence: "Step 1 - Authenticate User (returns security token used in following calls) Step 2 - Create Job (submits your job in JSON format) Step 3 - Get Job Info (tracks status of your job) Step 4 - Get Job Result". SimaBit's preprocessing task inserts seamlessly into Step 2, requiring just a few additional JSON parameters to enable AI optimization.
Benchmark Tables: 22 %+ Bitrate Savings & Dolby Vision Compliance
The whitepaper's benchmark section delivers hard numbers that matter to streaming teams. Independent testing shows "advanced video processing engines can reduce bandwidth requirements by 22% or more while maintaining perceptual quality".
Specific performance metrics include:
SimaBit's AI preprocessing "achieves 22% or more bandwidth reduction on diverse content sets, with some configurations reaching 25-35% savings" when combined with modern codecs
Dolby Vision support through "Hybrik version 1.223" which introduced a simplified workflow
Objective gains measured in BDRATE percentage, with "per-clip gains can hit over 14.89%" on specific content types
Proxy-based approaches achieving "80% of these gains with over 10x improvement" in compute load
The whitepaper confirms compatibility with Dolby Vision Profiles 5 and 8.1, essential for HDR content delivery. This AI-driven approach "optimizes the bitrate based on the content's complexity", significantly reducing computational steps compared to traditional fixed-bitrate encoding.
Step-By-Step Configuration Checklist
The whitepaper's setup section walks through every configuration step required to enable SimaBit within Hybrik. The process starts with gathering "two sets of credentials and API settings: Server URL, OAPI key and secret".
Core configuration requirements include:
Locating API credentials: "The Server URL (API Endpoint base URL only) as well as the OAPI key and secret can be found in the Hybrik Portal under Account > Info > API Details"
Setting file locations with proper storage provider definitions
Configuring JSON job structures that incorporate SimaBit's preprocessing task
The documentation emphasizes that "enabling SimaBit is a three-step process": fetch your Hybrik credentials, prepend the SimaBit SDK task to your existing JSON job, and run the job. Hybrik spins up compute in your VPC while SimaBit optimizes frames, delivering instant bitrate savings with zero changes to encoder presets.
Security & VPC Best Practices
The whitepaper highlights critical security considerations for production deployments. As documented, "all storage and computing takes place in your own VPC", resulting in the highest security and lowest cost. This architecture ensures media files never leave your secure cloud environment during processing, maintaining compliance with enterprise security requirements.
Workflows & Use-Cases Unlocked by the Integration
The whitepaper showcases practical applications where SimaBit plus Hybrik delivers immediate value. Major studios already trust the platform - "companies like Sony, Paramount, HBO" rely on Hybrik for their workflow needs.
Key use-cases documented include:
Live sports and concert streaming where "generative AI video models act like a smart pre-filter" predicting perceptual redundancies and reconstructing fine detail after compression
VOD libraries where SimaBit achieved "a 22% average reduction in bitrate, a 4.2-point VMAF quality increase, and a 37% decrease in buffering events" in tests
Multi-format delivery leveraging Hybrik's support for Dolby Vision and Atmos alongside SimaBit's codec-agnostic optimization
The whitepaper demonstrates how this combination addresses real-world challenges, from reducing CDN costs to improving viewer experience through reduced buffering.
Download the Whitepaper or See a Live Demo
The complete technical whitepaper provides everything engineering teams need to evaluate and implement SimaBit with Dolby Hybrik. Beyond the architectural diagrams and benchmark data previewed here, the full document includes detailed JSON examples, troubleshooting guides, and optimization recommendations.
AI-powered scheduling tools have revolutionized how brands approach timing - the same principle applies to streaming infrastructure decisions. The whitepaper shows why leading platforms are moving now, with AV2 projected to achieve 30-40% better compression than AV1 by 2030.
"AI has become a dominant topic" in video streaming, and this whitepaper provides the technical roadmap for implementing it today. Request your copy to access the complete configuration details, performance benchmarks, and implementation timeline that have helped streaming teams achieve 22%+ bandwidth savings in production.
Conclusion: Your Shortcut to Future-Proof Streaming
The Sima Labs × Dolby Hybrik technical whitepaper represents more than documentation - it's a proven blueprint for immediate streaming optimization. With "our technology delivers better video quality, lower bandwidth requirements, reduced CDN costs", teams can implement these gains without disrupting existing workflows.
The integration of SimaBit with "Dolby's cloud media processing service" creates a powerful combination that addresses today's streaming challenges while preparing for tomorrow's demands. As the whitepaper demonstrates, SimaBit "installs in front of any encoder" ensuring compatibility with whatever codec evolution brings.
For streaming teams ready to move beyond incremental improvements to transformative optimization, this whitepaper provides the technical foundation. Download it today to discover how SimaBit plus Hybrik can reduce your bandwidth costs by 22% or more while improving viewer experience - all with a configuration that takes hours, not weeks, to implement.
Frequently Asked Questions
What is inside the Sima Labs and Dolby Hybrik technical whitepaper?
The whitepaper includes an architectural diagram that shows where SimaBit runs in a Hybrik job, step-by-step API and JSON configuration examples, and benchmark tables demonstrating 22%+ bitrate savings. It also covers Dolby Vision compatibility, a configuration checklist, security and VPC best practices, troubleshooting tips, and optimization recommendations.
How does SimaBit integrate with Hybrik without changing my encoder presets?
Hybrik jobs are built from Elements and Connections, and SimaBit is inserted as a preprocessing Element ahead of the transcode step. It works with H.264, HEVC, AV1, AV2, and custom encoders, enabled by a few additional JSON parameters during the Create Job step in Hybrik’s REST API, so your proven encoder presets remain intact.
What performance improvements should I expect, and how are they measured?
Teams typically see 22% or more bitrate reduction at equal or better perceptual quality across diverse content sets, with some configurations reaching 25–35% when paired with modern codecs. Results are tracked using metrics such as BDRATE and VMAF, and the workflow supports Dolby Vision Profiles 5 and 8.1 in Hybrik.
Is the SimaBit and Hybrik workflow secure for enterprise deployments?
All storage and compute run inside your own VPC when using Hybrik, keeping media within your cloud boundary. The whitepaper outlines credential management, least-privilege practices, and secure storage configuration to meet enterprise security and compliance requirements.
How do I enable SimaBit in Hybrik and where can I request the whitepaper or a demo?
Enabling SimaBit is a three-step process: obtain Hybrik API credentials, prepend the SimaBit SDK task to your existing JSON job, and run the job so Hybrik spins compute in your VPC while SimaBit optimizes frames. You can request the technical whitepaper and a live demo on the Sima Labs site; the integration availability is also described in our announcement at https://www.simalabs.ai/pr.
Sources
https://www.rootsanalysis.com/video-processing-platform-market
https://researchandmarkets.com/report/video-processing-solution
https://professional.dolby.com/technologies/cloud-media-processing/customers
https://www.simalabs.ai/resources/how-generative-ai-video-models-enhance-streaming-q-c9ec72f0
https://www.simalabs.ai/resources/ai-auto-schedule-instagram-posts-optimal-times
https://www.simalabs.ai/resources/ai-enhanced-ugc-streaming-2030-av2-edge-gpu-simabit
https://bitmovin.com/downloads/assets/bitmovin-8th-video-developer-report-2024-2025.pdf
Request the Sima Labs × Dolby Hybrik Technical Whitepaper: What's Inside and How to Use It
Modern streaming teams searching for the Sima Labs Dolby Hybrik technical whitepaper can stop scrolling: this guide previews the architecture, benchmark tables and configuration checklist you'll find inside the download.
Why the Whitepaper Is a Must-Read for Modern Media Teams
The streaming landscape demands immediate optimization. With the video processing platform market projected to grow from USD 9.99 billion in 2025 to USD 38.85 billion by 2035, media teams need proven solutions that deliver results today, not promises for tomorrow. The Video Processing Platform Market grew from USD 7.74 billion in 2024 to USD 8.70 billion in 2025.
Sima Labs' integration with Dolby's cloud media processing service addresses this urgency head-on. The whitepaper documents how SimaBit's AI preprocessing engine delivers 22% or more bandwidth reduction on Netflix Open Content, YouTube UGC, and the OpenVid-1M GenAI set without touching existing pipelines.
This isn't theoretical. The technical documentation provides the exact blueprint streaming teams need to replicate these results in their own Hybrik workflows, complete with API configurations and performance benchmarks that prove the integration works at scale.
Inside the Architecture: Where SimaBit Sits in a Hybrik Job
The whitepaper's architectural diagram reveals exactly how SimaBit integrates into Hybrik's processing pipeline. As the documentation explains, "A Hybrik Job is composed of Elements and Connections" where Elements are the individual processing steps and Connections define how they link together.
SimaBit slots in as a preprocessing Element before the transcoding stage. The engine "installs in front of any encoder - H.264, HEVC, AV1, AV2, or custom" so teams keep their proven toolchains while gaining AI-powered optimization. This positioning allows SimaBit to analyze and optimize frames before they hit the encoder, maximizing efficiency without disrupting existing workflows.
The architecture leverages Hybrik's RESTful API, where "every element of the Hybrik workflow can be managed" through JSON-based configurations. This means SimaBit operates within Hybrik's native framework, not as a bolt-on solution requiring custom integration work.
API & JSON Flow
The whitepaper details the precise REST/JSON calls required for SimaBit integration. Hybrik's "API uses JSON structures" for defining each element, with all submissions via standard HTTP commands.
The typical workflow follows this sequence: "Step 1 - Authenticate User (returns security token used in following calls) Step 2 - Create Job (submits your job in JSON format) Step 3 - Get Job Info (tracks status of your job) Step 4 - Get Job Result". SimaBit's preprocessing task inserts seamlessly into Step 2, requiring just a few additional JSON parameters to enable AI optimization.
Benchmark Tables: 22 %+ Bitrate Savings & Dolby Vision Compliance
The whitepaper's benchmark section delivers hard numbers that matter to streaming teams. Independent testing shows "advanced video processing engines can reduce bandwidth requirements by 22% or more while maintaining perceptual quality".
Specific performance metrics include:
SimaBit's AI preprocessing "achieves 22% or more bandwidth reduction on diverse content sets, with some configurations reaching 25-35% savings" when combined with modern codecs
Dolby Vision support through "Hybrik version 1.223" which introduced a simplified workflow
Objective gains measured in BDRATE percentage, with "per-clip gains can hit over 14.89%" on specific content types
Proxy-based approaches achieving "80% of these gains with over 10x improvement" in compute load
The whitepaper confirms compatibility with Dolby Vision Profiles 5 and 8.1, essential for HDR content delivery. This AI-driven approach "optimizes the bitrate based on the content's complexity", significantly reducing computational steps compared to traditional fixed-bitrate encoding.
Step-By-Step Configuration Checklist
The whitepaper's setup section walks through every configuration step required to enable SimaBit within Hybrik. The process starts with gathering "two sets of credentials and API settings: Server URL, OAPI key and secret".
Core configuration requirements include:
Locating API credentials: "The Server URL (API Endpoint base URL only) as well as the OAPI key and secret can be found in the Hybrik Portal under Account > Info > API Details"
Setting file locations with proper storage provider definitions
Configuring JSON job structures that incorporate SimaBit's preprocessing task
The documentation emphasizes that "enabling SimaBit is a three-step process": fetch your Hybrik credentials, prepend the SimaBit SDK task to your existing JSON job, and run the job. Hybrik spins up compute in your VPC while SimaBit optimizes frames, delivering instant bitrate savings with zero changes to encoder presets.
Security & VPC Best Practices
The whitepaper highlights critical security considerations for production deployments. As documented, "all storage and computing takes place in your own VPC", resulting in the highest security and lowest cost. This architecture ensures media files never leave your secure cloud environment during processing, maintaining compliance with enterprise security requirements.
Workflows & Use-Cases Unlocked by the Integration
The whitepaper showcases practical applications where SimaBit plus Hybrik delivers immediate value. Major studios already trust the platform - "companies like Sony, Paramount, HBO" rely on Hybrik for their workflow needs.
Key use-cases documented include:
Live sports and concert streaming where "generative AI video models act like a smart pre-filter" predicting perceptual redundancies and reconstructing fine detail after compression
VOD libraries where SimaBit achieved "a 22% average reduction in bitrate, a 4.2-point VMAF quality increase, and a 37% decrease in buffering events" in tests
Multi-format delivery leveraging Hybrik's support for Dolby Vision and Atmos alongside SimaBit's codec-agnostic optimization
The whitepaper demonstrates how this combination addresses real-world challenges, from reducing CDN costs to improving viewer experience through reduced buffering.
Download the Whitepaper or See a Live Demo
The complete technical whitepaper provides everything engineering teams need to evaluate and implement SimaBit with Dolby Hybrik. Beyond the architectural diagrams and benchmark data previewed here, the full document includes detailed JSON examples, troubleshooting guides, and optimization recommendations.
AI-powered scheduling tools have revolutionized how brands approach timing - the same principle applies to streaming infrastructure decisions. The whitepaper shows why leading platforms are moving now, with AV2 projected to achieve 30-40% better compression than AV1 by 2030.
"AI has become a dominant topic" in video streaming, and this whitepaper provides the technical roadmap for implementing it today. Request your copy to access the complete configuration details, performance benchmarks, and implementation timeline that have helped streaming teams achieve 22%+ bandwidth savings in production.
Conclusion: Your Shortcut to Future-Proof Streaming
The Sima Labs × Dolby Hybrik technical whitepaper represents more than documentation - it's a proven blueprint for immediate streaming optimization. With "our technology delivers better video quality, lower bandwidth requirements, reduced CDN costs", teams can implement these gains without disrupting existing workflows.
The integration of SimaBit with "Dolby's cloud media processing service" creates a powerful combination that addresses today's streaming challenges while preparing for tomorrow's demands. As the whitepaper demonstrates, SimaBit "installs in front of any encoder" ensuring compatibility with whatever codec evolution brings.
For streaming teams ready to move beyond incremental improvements to transformative optimization, this whitepaper provides the technical foundation. Download it today to discover how SimaBit plus Hybrik can reduce your bandwidth costs by 22% or more while improving viewer experience - all with a configuration that takes hours, not weeks, to implement.
Frequently Asked Questions
What is inside the Sima Labs and Dolby Hybrik technical whitepaper?
The whitepaper includes an architectural diagram that shows where SimaBit runs in a Hybrik job, step-by-step API and JSON configuration examples, and benchmark tables demonstrating 22%+ bitrate savings. It also covers Dolby Vision compatibility, a configuration checklist, security and VPC best practices, troubleshooting tips, and optimization recommendations.
How does SimaBit integrate with Hybrik without changing my encoder presets?
Hybrik jobs are built from Elements and Connections, and SimaBit is inserted as a preprocessing Element ahead of the transcode step. It works with H.264, HEVC, AV1, AV2, and custom encoders, enabled by a few additional JSON parameters during the Create Job step in Hybrik’s REST API, so your proven encoder presets remain intact.
What performance improvements should I expect, and how are they measured?
Teams typically see 22% or more bitrate reduction at equal or better perceptual quality across diverse content sets, with some configurations reaching 25–35% when paired with modern codecs. Results are tracked using metrics such as BDRATE and VMAF, and the workflow supports Dolby Vision Profiles 5 and 8.1 in Hybrik.
Is the SimaBit and Hybrik workflow secure for enterprise deployments?
All storage and compute run inside your own VPC when using Hybrik, keeping media within your cloud boundary. The whitepaper outlines credential management, least-privilege practices, and secure storage configuration to meet enterprise security and compliance requirements.
How do I enable SimaBit in Hybrik and where can I request the whitepaper or a demo?
Enabling SimaBit is a three-step process: obtain Hybrik API credentials, prepend the SimaBit SDK task to your existing JSON job, and run the job so Hybrik spins compute in your VPC while SimaBit optimizes frames. You can request the technical whitepaper and a live demo on the Sima Labs site; the integration availability is also described in our announcement at https://www.simalabs.ai/pr.
Sources
https://www.rootsanalysis.com/video-processing-platform-market
https://researchandmarkets.com/report/video-processing-solution
https://professional.dolby.com/technologies/cloud-media-processing/customers
https://www.simalabs.ai/resources/how-generative-ai-video-models-enhance-streaming-q-c9ec72f0
https://www.simalabs.ai/resources/ai-auto-schedule-instagram-posts-optimal-times
https://www.simalabs.ai/resources/ai-enhanced-ugc-streaming-2030-av2-edge-gpu-simabit
https://bitmovin.com/downloads/assets/bitmovin-8th-video-developer-report-2024-2025.pdf
SimaLabs
©2025 Sima Labs. All rights reserved
SimaLabs
©2025 Sima Labs. All rights reserved
SimaLabs
©2025 Sima Labs. All rights reserved