A Joint Solution from MulticoreWare & Small Pixels
March 12, 2026
AI Driven Optimization for the Next Generation of Video Delivery
Modern video delivery is constrained by two major cost drivers:
- Compute and encoding infrastructure
- Bandwidth, CDN, and storage consumption
MulticoreWare and Small Pixels have combined their expertise to address both — simultaneously.
By integrating Ultraziq, MulticoreWare’s high‑performance encoding framework, with SPAIQ Stream, Small Pixels’ real‑time AI‑powered signal conditioning technology, this joint solution delivers compounded optimization across the entire media workflow.
The result: dramatically lower bitrates, higher visual quality, and significant savings in cloud, delivery, and storage costs.
Reach out to our team at info@multicorewareinc.com to explore this solution further.
Joint Scope of Services
1.AI-Powered Signal Pre-Processing (SPAIQ Stream)
SPAIQ Stream enhances video prior to encoding using trained neural networks designed to make video more compression-resistant while maintaining or improving perceived quality.
Core Capabilities
- Real-time AI-based video enhancement and upscaling (up to 4K) leveraging SPAIQ Stream
- Compression-resistant signal conditioning
- Prevention of artifacts caused by:
- Heavy compression
- Low-bitrate contribution feeds
- Support for AVC (H.264), HEVC (H.265), and other commercial codecs
- Cloud-based and on-premise deployment
Measurable Impact
- Up to 50% bandwidth reduction
- Improved or maintained visual and perceptual quality
- Reduced CDN and delivery costs
- Reduced storage footprint
- Improved sustainability profile through lower data transfer
2.Ultraziq – High-Performance Encoding Framework
Ultraziq is a high-performance software video encoding library designed for enterprise-grade live and VOD workflows.
Supports the following open-source encoders (x264, x265, x266, SVT-AV1)
Key Features
- Exceptional high channel density for live use cases
- Segment-parallel live encoding – Splits input video into many streams and encodes in parallel for live use cases
- Multi-encoder – Uses multiple encoders simultaneously to maximize hardware utilization and reduce encoding time
- Live 2-pass encoding – performs a fast first pass on a downscaled video followed by a full-resolution second pass reducing servers required for live channels
- Adaptive Bitrate Ladder – Encodes a video at multiple resolutions and bitrates by sharing analysis across streams
Measurable Impact
- Ultraziq is up to ~20% faster than x265
- Up to 50% infrastructure cost savings on ARM-based cloud instances
- Higher server utilization efficiency
Integrated Optimization Architecture
This integrated approach creates a compounding ROI effect across encoding, delivery, and storage.
Deployment Flexibility
- Cloud-native streaming environments
- Hybrid cloud architectures
- On-prem broadcast infrastructure
- Edge deployments
Target Applications:
- OTT streaming platforms
- Multi-channel television services
- Live sports broadcasting
- Cloud gaming platforms
- Surveillance & security systems
- XR and immersive streaming applications
Strategic Differentiation
Most solutions optimize either the encoder layer or the signal layer, not both.
This partnership delivers a unified, hardware‑agnostic optimization system capable of scaling across enterprise‑grade media workloads.
Together, MulticoreWare and Small Pixels offer an AI-driven video optimization stack, designed to improve or maintain video quality, increase encoding efficiency, and help reduce total cost of ownership across the media delivery chain.
Contact us at info@multicorewareinc.com
* All trademarks, logos and brand names are the property of their respective owners.
* x264 and SVT-AV1 are not owned by MulticoreWare
