Make AI & Media Lighter.
Unleash their power with IDDO.

Name: MSML-IDDO Platform
Brand: General Harmonics
Availability: PreOrder

Restructures information to shrink working sets, bandwidth, and power. Maximizing value per byte. Development of novel Intelligent Data Density Optimization solutions powered by patented MSML

Advanced R&D. Media demos today. LLM and edge validation next.

Maximizing value per byte • $847B total addressable market • Reducing computing loads

Higher information density with preserved fidelity: pack more signal, drop the waste.

Lower latency, faster reactions: important pieces arrive first.

Energy efficiency: Reduces modern LLMs cost of energy per output.

Bandwidth reduction and Throughput increase: Aimed at brain-like massive parallelism "pre-training" by evolution and life-long learning.

Adaptation: Continually adapt online; LLMs are fixed post-training. They cannot truly plan or remember beyond their training.

Interpretability and Safety: Makes LLMs decision process more transparent, verifiable and accountable.

MSML Technology

Multi Structure Multi Layer data formalization - Advanced data density optimization that maximizes value per byte

Up to 30x+

Data type dependant Data volume reduction

Significantly reduces storage and transmission requirements

Performance Improvement

Superior efficiency compared to single-method approaches

up to 75%

Computing Load Reduction

Dramatically lowers computational demands

≥98.9%

Fidelity Preservation

Quality preserved on standard benchmarks (avg change ≤0.5 pp)

What is MSML?

MSML (Multi‑Structure, Multi‑Layered data formalization) is a patented methodology for representing complex signals by factorizing them across structures and scales. In plain terms: we keep the meaning‑bearing components and minimize redundancies, so more intelligence fits into fewer bytes without losing what matters to human perception or machine understanding.

The principle behind everything: IDDO

Intelligent Data Density Optimization (IDDO) is the brand and operating principle built on our issued patents covering multi‑structural, multi‑level information formalization. Practically, it means factorizing signals so the parts that carry meaning are preserved and redundancies minimized. The result is higher information density without loss of semantic fidelity, shorter time‑to‑first‑word, lower bitrates at the same perceived quality, and fewer GPU cycles per task across audio, video, and multimodal datasets (including LLMs).

General Harmonics

General Harmonics is a research corporation with solid scientific background that develops AI-powered Intelligent Data Density Optimization custom products and solutions. Our foundation rests on patented MSML (Multi-Structural, Multi-Level) principles – a method for factorizing complex data signals while preserving meaning and cutting redundancy.

MSML fundamentals are applicable across large arrays of market sectors, including AI and LLMs, Media, Telecom and Edge Computing, AV and Robotics and Autonomous systems. For each sector, we provide whitepapers outlining comprehensive use case analysis of the benefits, supported by an array of demonstrable digital products and solutions for the Media industry that provide solid technology validation ground.

MSML Intellectual Property Portfolio

a. MSML-LLMC Framework: Large Language Model optimization mathematical framework enabling IDDO capabilities for LLMs and multimodal data, maximizing fidelity per byte while minimizing compute and storage.

b. D1AUDIO Technology: IDDO principle drives our fidelity lossless codec with programmable media container, storing and streaming richer content at lower bitrates.

c. PulsBeat Media Products: AudioMine immersive tools, My.ARTIST.one ecosystem, and Connect360 engagement hub designed for better searchability, personalization, and monetization.

d. Infrastructure & Security: Cognitive Dynamic Media Cloud (cDM Cloud), LiveLink and Logical Data Embroidering (LDE) for content authenticity, cryptographic signing, and traceable lineage enhancing data sovereignty.

MSML Data Density Optimization Pipeline

Input Data

Multi-Structure Analysis

Multi-Layer Processing

Density Optimization

Optimized Output

Multi-Structure

Handles diverse data types including neural networks, media files, and structured data.

Universal compatibility

Multi-Layer

Progressive optimization with multiple processing layers for maximum efficiency.

Adaptive optimization

Data Formalization

Standardizes data representation across different domains and applications.

Seamless integration

Learn More About MSML Technology

MSML-Powered Products & Services

Comprehensive portfolio of media market products and specialized IDDO solution development services

Acoustic Intelligence

AIQ Technology Platform

Production Ready

Pioneering field merging sound science with technological innovation to transform how individuals experience and interact with digital and physical environments. Bridges human perception and machine learning through MSML principles.

Key Features:

AudioDNA for content recognition & fingerprinting
Temporal synchrony for immersive experiences
LDE content protection & authentication
Multi-sensory data synchronization
AI-driven audio analysis & optimization

Website Preview

D1 AUDIO

Novel Audio Codec and Programmable media container

Production Ready

Programmable Media Container with fidelity lossless codec for 3D Hi-Res audio and advanced metadata integration.

Key Features:

STEMS for creators and producers
Live Lyrics & Chord synchronization
Data Steganography for content protection
Cross-platform compatibility
21x data volume reduction

Website Preview

AudioMine

Cloud Platform

Active Development

AI-powered cloud infrastructure platform with Attention Reward RPM Tokens and Intelligent Live Link Assistant.

Key Features:

Content Module with smart cataloging
AudioDNA Module for audio fingerprinting
ArtAssets Module for multimedia management
Revenue optimization algorithms
Real-time analytics dashboard

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cDM Cloud

Infrastructure Platform

Beta Testing

Cognitive Dynamic Media Cloud with AI-driven media solutions and global distribution networks.

Key Features:

Scalable server infrastructure
Intelligent audio optimization
Secure transmission protocols
Edge computing capabilities
API-first architecture

Website Preview

my.ARTIST.one

Artist Platform

Pilot Programs

Artist Branded App Ecosystem with D9NAMIC media player and LIVELINK synchronization technology.

Key Features:

Personalized artist applications
Advanced fan engagement tools
Real-time content synchronization
Multi-platform distribution
Monetization integrations

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Business Intelligence AI

Partner Solution for SAP Business Intelligence

Production Ready

AI-powered conversational BI that transforms SAP BusinessObjects data into actionable insights. Natural language queries deliver instant answers with enterprise-grade security.

Key Features:

Auto Web Intelligence report generation
Natural language queries in plain English
10x faster time to insights (30 seconds)
90% reduction in IT reporting requests
Unlimited users with no per-seat costs

Website Preview

Target Markets

MSML technology addresses critical challenges across multiple high-growth industries

$586B+

Total Addressable Market

AI & Large Language Models

$150B+

35% CAGR

Media & Content Delivery

$185B+

21% CAGR

Telecom & Edge Infrastructure

$91B+

38% CAGR

Autonomous Vehicles & Robotics

$76B+

40% CAGR

Energy & Smart Grid

$84B+

28% CAGR

AI & Large Language Models

Market Size: $150B+

Growth: 35% CAGR

Current LLMs are powerful pattern learners but remain far less efficient and flexible than the human brain. The brain's vastly greater connectivity, low-power hardware, and rich learning mechanisms highlight inefficiencies in today's AI. Addressing these gaps is a major research frontier. MSML powered IDDO solutions targets such brain-inspired innovations (e.g. neuromorphic computing, sparse spiking networks, hybrid models), aiming to help alleviate LLMs' energy, generalization, and adaptability problems, bringing AI closer to human-like cognition. Research-validated MSML-LLMC mathematical framework enables deployment of advanced AI models across any infrastructure. Whitepaper available detailing comprehensive use case analysis and benefits.

Critical Industry Inefficiencies

Current LLMs face fundamental inefficiencies compared to human brain architecture, creating massive computational and energy demands that limit practical deployment.

Scale and Structural Inefficiency

While human brain operates with 86 billion neurons and ~600-1,000 trillion synaptic connections using only 20W power, LLMs require 175B-1.8T parameters consuming megawatt-hours for comparable tasks.

Impact: Energy consumption 10^4-10^5 times higher than biological neural processing

Static Learning Architecture

LLMs have fixed weights post-training, unlike brain's continuous neuroplasticity. They cannot adapt in real-time or learn from single examples like humans.

Impact: Expensive retraining required for updates; poor few-shot learning capabilities

Computational Resource Demands

Training single large models can emit carbon equivalent to several cars' lifetimes. Inference requires distributed clusters unavailable for edge deployment.

Impact: Unsustainable scalability; limited accessibility for resource-constrained applications

MSML-LLMC Framework Solutions

MSML powered IDDO directly addresses LLM inefficiencies by implementing brain-like hierarchical data organization and sparse processing principles.

Hierarchical Multi-Level Compression

MSML represents data at multiple abstraction levels (raw, spectral, semantic), mimicking brain's progressive concept formation from sensory inputs.

Expected Result: Up to 300x model size reduction with 0.5-1% accuracy loss

Perceptual Information Pruning

Like brain's synaptic pruning, MSML removes low-value data elements while preserving semantic meaning through threshold-based information criteria.

Expected Result: GPT-scale models compressed from 300GB to ~1GB while maintaining performance

Associative Memory Architecture

Stores and retrieves data through semantic connections rather than raw bit patterns, enabling brain-like contextual processing.

Expected Result: Edge device deployment capability; 30-60% lower carbon footprint

MSML Technology Benefits

Up to 300x model size reduction
Lower computational demands
Enhanced energy efficiency
Cross-modal AI applications
Faster training and inference cycles

Target Applications

Edge AI deployment
Mobile AI applications
Cloud cost optimization
Real-time language processing
Multimodal AI systems

Targets & Validation

We publish targets—objectives pending validation—along with methods and acceptance thresholds so progress is transparent and reproducible.

These are goals, not claims. Validation in progress with public methodologies.

LLM Inference

Target: KV-cache/activations 5–10× reduction

Pending Validation

Acceptance Threshold

≤0.5–1.0% Δ accuracy

Datasets

MMLU, GSM8K, MT-Bench

Hardware

NVIDIA A100, H100 GPUs

Baseline Techniques

Quantization (INT8/INT4), Pruning, Distillation

Method Outline

Hierarchical multi-scale decomposition with perceptive information value criteria applied to attention mechanisms and weight matrices.

Acceptance Criteria

Score within 0.5-1.0 percentage points of baseline on standard benchmarks

Reproducibility scripts and containers will be published upon validation completion

Media Streaming

Target: 4–20× bitrate reduction

Pending Validation

Acceptance Threshold

SSIM≥0.98 / ViSQOL≥4.0

Datasets

Standard audio/video test sets (BBC, EBU)

Hardware

x86 CPU clusters, ARM edge devices

Baseline Techniques

AAC, HEVC, Opus codecs

Method Outline

Multi-structural signal analysis preserving perceptual features while eliminating redundant information across frequency and temporal domains.

Acceptance Criteria

Perceptual quality metrics above specified thresholds in blind listening/viewing tests

Reproducibility scripts and containers will be published upon validation completion

Edge/AV Systems

Target: p95 latency −30–50% reduction

Pending Validation

Acceptance Threshold

Under bandwidth/power caps

Datasets

KITTI, nuScenes autonomous driving datasets

Hardware

NVIDIA Jetson, Qualcomm Snapdragon

Baseline Techniques

MobileNet, EfficientNet edge models

Method Outline

Edge-optimized model compression with dynamic adaptation based on available compute and network resources.

Acceptance Criteria

Latency improvement validated under constrained network/power conditions with maintained safety metrics

Reproducibility scripts and containers will be published upon validation completion

Our Validation Commitment

Transparent Methods

Every target includes detailed methodology, datasets, and hardware specifications

Public Reproducibility

Scripts and containers will be published for third-party validation

Clear Thresholds

Acceptance criteria defined before results are claimed

IP & Technology Assets

Comprehensive portfolio of patents, software modules, and brand assets

Patent Portfolio

IDDO foundation rests on issued world wide patents grants for multi‑structural, multi‑level information formalization. A preliminary Acoustic Intelligence set has been implemented to demonstrate and validate the fundamental advantages of MSML in real workloads; it serves as a reference pattern that can be extended or reconfigured for other modalities and data pipelines.

The fortification applications describe interfaces and methods that extend the baseline into media containers, entropy and transform pathways, provenance and synchronization controls, and programmable authenticity features. Together, the core and fortification filing ready applications provide a defensible base with optional follow‑on protections aligned to client-specific roadmap and jurisdictions.

Key Patents and Trademarks Grants

Global jurisdictions grants, including: US, Canada, EU, India, Hong Kong, China, Russia

Granted

MULTI-STRUCTURAL, MULTI-LEVEL INFORMATION FORMALIZATION AND STRUCTURING METHOD, AND ASSOCIATED APPARATUS

View Patent

Multiple jurisdictions, including US, Canada, EU

Granted

SYSTEM, METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR CALCULATING A SAMPLED SIGNAL

View Patent

Fortification Patent Applications: Filing Ready

US Provisional

Filing Ready

ADVANCED PHASE-LESS REPETITION CODING INTERFACE FOR MULTISTRUCTURAL, MULTI-LEVEL SOUND FORMALIZATION AND BITRATE REDUCTION SYSTEM AND METHOD USING THE SAME

US Provisional

Filing Ready

ADVANCED PHASE-LESS REPETITION CODING INTERFACE FOR A MULTISTRUCTURAL, MULTI-LEVEL SOUND FORMALIZATION, AND BANDWIDTH AND BIT RATE REDUCTION SYSTEM AND METHOD USING THE SAME

US Provisional

Filing Ready

LOSSLESS ENTROPY COMPRESSION INTERFACE FOR A MULTI-STRUCTURAL, MULTI-LEVEL SOUND FORMALIZATION, AND AUDIO BANDWIDTH AND BIT RATE REDUCTION SYSTEM AND METHOD USING THE SAME

US Provisional

Filing Ready

AUDIO DATA LOSSLESS ACCELERATOR INTERFACE FOR A MULTI-STRUCTURAL, MULTI-LEVEL SOUND FORMALIZATION, AND ASSOCIATED SYSTEM AND METHOD FOR PROVIDING AN EXTRA COMPRESSION LAYER FOR A PREVIOUSLY REDUCED AUDIO DATA SET

US Provisional

Filing Ready

AUDIO DATA ADVANCED ACCELERATOR INTERFACE FOR A MULTISTRUCTURAL, MULTI-LEVEL SOUND FORMALIZATION, AND ASSOCIATED SYSTEM AND METHOD FOR EFFICIENT AUDIO DATA STREAMING

US Provisional

Filing Ready

AFFINE TRANSFORMS CODING INTERFACE FOR A MULTI-STRUCTURAL, MULTILEVEL SOUND FORMALIZATION, AND ASSOCIATED SYSTEM AND METHOD OF BANDWIDTH AND BIT RATE REDUCTION USING THE SAME

US Provisional

Filing Ready

SYSTEM AND METHOD FOR FRACTIONAL HARMONIC CORRECTIONS USING BINARY LOGARITHMIC CONSTELLATIONS REPRESENTED AS SUPERPOSITION ENERGY ADJUSTMENTS

US Provisional

Filing Ready

SYSTEM AND METHOD FOR DIGITAL HARMONIC FUSION SPLICING WITH BITRATE MINIMIZATION THROUGH PERCEPTUAL ENTROPY ESTIMATION USING DIGITAL SOUND SENSORS

US Provisional

Filing Ready

SYSTEM, METHOD, AND ASSOCIATED APPARATUS FOR ADVANCED POLYDIRECTIONAL MULTIMEDIA

US Provisional

Filing Ready

SYSTEM, METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR PROVIDING A GRAPHICAL USER INTERFACE FOR AN APPLICATION

US Provisional

Filing Ready

SYSTEM, METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR DISTRIBUTING DIGITAL CONTENT

US Provisional

Filing Ready

SYSTEM, METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR SYNCHRONOUS MEDIA PLAYBACK

US Provisional

Filing Ready

SYSTEM, METHOD, AND ASSOCIATED APPARATUS FOR ADVANCED POLYDIRECTIONAL MULTIMEDIA

US Provisional

Filing Ready

SYSTEM, METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR DISTRIBUTING DIGITAL MEDIA CONTENT

US Provisional

Filing Ready

GAME FRAMEWORK AND RELATED SYSTEMS, METHODS, AND APPARATUSES USING THE GAME FRAMEWORK

US Provisional

Filing Ready

SYSTEM, METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR UPDATING MEDIA CONTENT ON A DEVICE

Global IP Protection

Multiple patent grants with worldwide coverage. Series of fortified patent applications. Legal protection reinforced by Womble Bond Dickinson (US/UK) and Canadian counsel.

Software Modules & SDKs

MSML-LLMC Framework

Research

An advanced R&D mathematical framework extending MSML principles to compress large AI models, particularly LLMs (Large Language Models) and other neural networks. MSML-LLMC combines techniques like hierarchical tensor decomposition, perceptual entropy pruning, and reinforcement learning-based quantization. In essence, it intelligently reduces the size of machine learning models by discarding information with low value while keeping model accuracy nearly intact. Current research demonstrated maintaining over 99.5% of original model accuracy with significantly smaller model sizes. The framework produces potential incremental compression gains that compound across model layers, yielding up to approximately 3× overall compression improvement beyond current state-of-the-art methods. Importantly, MSML-LLMC is designed for edge deployment: compressed models may be made compatible with runtime frameworks like CoreML, TensorRT, and Android NNAPI for mobile/embedded inference. By leveraging MSML's multi-level structures within neural networks, this IP aims to enable high-efficiency AI, large models that run faster and use less memory, without needing specialized hardware.

Supported Runtimes:

PyTorch

ONNX

TensorRT

CoreML

Android NNAPI

D1 AUDIO AI powered Codec & Programmable Container

Production

A cutting-edge novel audio codec that leverages MSML for superior compression and rich media functionality. D1 AUDIO can deliver high-resolution, fidelity-lossless sound at a fraction of normal file size, and may support 3D spatial audio and multi-channel "stems" (isolated instrument/vocal tracks) within a single file. Uniquely, it's paired with a specially designed programmable media container format that can hold not just audio data but synchronized metadata and other media. For example, a D1 AUDIO file can include perfectly synced lyrics, chords, and musical notations (Live Lyrics/Chords/Notes) that display in real time with the music. It can also integrate other media like album art, video snippets, or even mini-games, enabling a multilayered interactive media experience. The codec is highly optimized for streaming and storage efficiency, making it possible to enjoy studio-quality and even immersive 3D audio on bandwidth-constrained connections. In short, D1 AUDIO isn't just a compression codec; it's a platform for enriched audio-visual content, with secure and reliable packaging of media and metadata.

Supported Runtimes:

FFmpeg plugin

Standalone CLI

SDK

Web Audio API

Media Fusion and Media Beam

Production

Software modules that build on D1 AUDIO and MSML to create interactive, synchronous media experiences. Media Fusion allows cross-modal integration, e.g. linking pre-recorded or live streamed audio with video, lyrics, or even gameplay elements in real time. Media Beam enables broadcast-style features such as multi-room audio streaming, synchronized group listening sessions, live concerts or radio feeds relayed with minimal latency. These technologies showcase strength of the MSML powered solutions for real-time media synchronization and distribution. Media Fusion can, for instance, let a user seamlessly switch between a song's audio, its music video, and a karaoke lyric mode, all time-aligned. Media Beam would allow many users to experience that content together live (like a virtual concert or "live listening party"). Under the hood, these leverage MSML's efficiency to handle high data streams and the D1 container to keep different media types in lockstep. While entertainment-focused, the core idea of synchronizing data streams across devices/users in real time has much broad applicability.

Supported Runtimes:

WebRTC

HLS

DASH

UDP Multicast

Data Steganography & LDE (Limited Data Embroidering)

Production

Company behind Project Goliath has developed proprietary data embedding and content protection technology, invisible for digital data analysis and immune to audible analogue detection. One key technology is referred to as LDE, a content protection method using inaudible data embedding mechanism. LDE allows a unique digital fingerprint ("primotron" code) to be embedded directly into an audio or media file's fabric without affecting the perceivable output. This hidden watermark is tamper-resistant and travels with the content. It enables robust DRM (digital rights management), forensic tracking of media, and verification of authenticity. For example, each distributed copy of a song or video can carry an ID that identifies the source or licensee; any unauthorized copy can thus be traced. The steganography works in real time, meaning even live broadcasts or streaming data can have these anti-tamper fingerprints inserted. Beyond DRM, such technology can be wrapped in a solution to secure a data flow by ensuring that any alteration would destroy the embedded code and be detectable. This secure distribution methods can also involve encryption and could integrate with blockchain for content license management. Overall, these security features address content integrity and compliance, which are critical in sensitive or regulated data environments.

Supported Runtimes:

Real-time Processing

Batch Processing

API Integration

AudioDNA Content Recognition

Production

An acoustic content recognition engine capable of identifying and indexing media with high accuracy. AudioDNA can analyze an audio stream (or audiovisual content) and recognize patterns corresponding to known items, e.g. matching a song, detecting a specific sound event, or classifying content type. The technology is touted to handle not just music recognition, but also sports audio highlights, news broadcasts, live events, etc. This suggests a highly robust pattern recognition AI trained on audio features. In essence, AudioDNA functions like a Shazam-on-steroids – capable of tagging content in real time, which can power search, recommendations, or context-aware features. It relies on the Company acoustic AI know-how to remain accurate even with noise or in live scenarios.

Supported Runtimes:

Cloud API

Edge SDK

Mobile Libraries

Cognitive Dynamic Media Cloud (cDM Cloud)

Production

Cloud infrastructure platform for intelligent media processing and delivery. cDM Cloud is designed to aim for a global, low-latency content delivery network that can be combined with AI-driven data processing. It uses "brain-like" dynamic data structures (based on MSML) to store and serve content more efficiently, essentially compressing or expanding data schemas on the fly depending on context. This makes storage and retrieval highly optimized for the type of content and usage pattern. cDM Cloud also emphasizes speed, aiming for sub-10 millisecond latency for streaming media at scale. It has built-in scalability and security, including end-to-end encryption and even hooks for blockchain-based traceability. In practice, cDM Cloud strategically positioned to ingest large media (audio/video) files, apply MSML based compression and encryption, and distribute them efficiently across the globe with minimal delay. Redundancies and intelligent routing may be incorporated as a part of the system to ensure reliable delivery. This platform underpins project Goliath products by providing the heavy-lifting backend for media streaming, and content management in a cloud environment.

Supported Runtimes:

REST API

GraphQL

WebSocket

gRPC

AudioMine Platform and my.ARTIST.one

Production

On top of the cDM Cloud, there is AudioMine, a media engagement and monetization platform. AudioMine introduces innovative features like Attention-Reward tokens (RPM) - a gamified system rewards for user engagement (e.g. rewarding listeners for time spent, or enabling artist-specific tokens for fan loyalty). It also includes the Intelligent LiveLink Assistant (ILLA360), which uses the AudioDNA recognition tech to contextually link content across applications. For example, ILLA can detect what a user is listening to and automatically pull up synced lyrics or related content in a companion app, creating a frictionless multimedia or a second screen experience. my.ARTIST.one is a white-label "super-fan" app framework built on AudioMine and cDM Cloud. It allows artists (or content creators) to launch their own branded apps that incorporate music streaming, merchandise, NFTs, live events, and social features all in one. These apps use a dual host/satellite architecture: a main host Audiomine app provides common features, while artist-themed satellite apps (my.ARTIST.one core branded apps) plug into it. A standout feature is LiveLink functionality, delivering perfectly synchronized multimedia overlays (video, social feeds, facebook, Tik-Tok, trivia, etc.) timed to the music or content the fan is consuming. This creates immersive, interactive experiences (for instance, a fan watching a music video could get real-time behind-the-scenes pop-ups, or live comments from the artist, all synced to the playback). Additionally, the platform supports direct-to-fan commerce, exclusive content drops, and community engagement, secured by LDE data-steganography and blockchain integration ready for transactions. These capabilities demonstrate IDDO solutions strength in real-time data synchronization, user interactivity, and secure digital content ecosystems.

Supported Runtimes:

iOS

Android

Web Platform

Blockchain Integration

Brand & IP Collateral

Logo Package

SVG, PNG, EPS formats with usage guidelines

Technical Diagrams

Architecture and workflow visualizations

Media Kit

Press releases, fact sheets, and imagery

ROI Calculator

Estimate potential cost savings with MSML technology

Target Domain

Monthly Traffic (M tokens)

Cost per M tokens ($)

Enter your parameters above to calculate potential savings

Get Started with MSML

Ready to improve efficiency of your AI and Media Applications? Contact us to explore how MSML can transform your business.

Request Demo

See MSML in action with your specific use case

Inquire to License

Get licensing information for commercial deployment

Enterprise Solutions

For enterprise implementations, custom integrations, or partnership opportunities, our team is ready to discuss your specific requirements.

Email: enterprise@generalharmonics.com | Phone: +1 (519) 870 5831

Make AI & Media Lighter.Unleash their power with IDDO.

MSML Technology

What is MSML?

The principle behind everything: IDDO

General Harmonics

MSML Intellectual Property Portfolio

MSML Data Density Optimization Pipeline

Learn More About MSML Technology

MSML-Powered Products & Services

Key Features:

Key Features:

Key Features:

Key Features:

Key Features:

Key Features:

Target Markets

AI & Large Language Models

Media & Content Delivery

Telecom & Edge Infrastructure

Autonomous Vehicles & Robotics

Energy & Smart Grid

Critical Industry Inefficiencies

Scale and Structural Inefficiency

Static Learning Architecture

Computational Resource Demands

MSML-LLMC Framework Solutions

Hierarchical Multi-Level Compression

Perceptual Information Pruning

Associative Memory Architecture

MSML Technology Benefits

Target Applications

Targets & Validation

Acceptance Threshold

Datasets

Hardware

Baseline Techniques

Method Outline

Acceptance Criteria

Acceptance Threshold

Datasets

Hardware

Baseline Techniques

Method Outline

Acceptance Criteria

Acceptance Threshold

Datasets

Hardware

Baseline Techniques

Method Outline

Acceptance Criteria

IP & Technology Assets

Patent Portfolio

Key Patents and Trademarks Grants

Fortification Patent Applications: Filing Ready

Software Modules & SDKs

Brand & IP Collateral

Logo Package

Technical Diagrams

Media Kit

Get Started with MSML

Enterprise Solutions

Make AI & Media Lighter.
Unleash their power with IDDO.