Developed by Engineers from Various Industry Verticals, this Powerful Catalog Platform Exceeds Expectations and is Further Customized to Meet Specific Performance Requirements
Leverage Data, Analytics and Artificial Intelligence Resources—Automate Workflows, Planning, Production, Content, Assets, Events, Delivery, Distribution, Tracking… All in a Cloud-Agnostic Serverless Framework that Dramatically Reduces Infrastructure Costs.
I’m 100% invested. After decades of searching, I have yet to see any other product come close to the scope, capabilities and performance of TheMIX.
Gabriel Grünbaum, CEO
Take Control of Every Aspect of Your Pipeline
Available the way you need it: Software as a Service (SaaS), Specialized Managed Installation, Bespoke License, Full Hand-Off Code License, and More… Get in touch with Innovative Dynamix to get started.
Our latest product offering, TheMIX, is the core serverless framework we built to accelerate our custom headless content management implementations. Innovative Dynamix customizes every implementation for each client’s specific needs—as no two clients have exactly the same Content, Data and Workflow requirements. TheMIX facilitates enhanced and easy access to all available data tied to content, media, events, inventory. . . anything that can be tracked/recorded/automated, even workflows. All existing structured and unstructured data from internal resources can be seamlessly merged with any type of external data sources in real-time and structured on-demand (including generated metadata from Artificial Intelligence Analysis using Computer Vision, Sensor Data, Archives and APIs). We do this by working with each client to develop a robust and individualized Type System (an extensible GraphQL based Schema specific to the client’s unique domain) using established Semantic and Semiotic Signs and Symbols principles.
We have implemented our entire framework as a set of Serverless Microservices that are only spun up when they are being used—meaning, it dramatically cuts costs, pay only for resources actually being used down to the millisecond of compute time. Some types of document-based data can even be stored in databases that are spun up on-demand as well, so you simply pay for data storage by access and not per GB of storage monthly. Many types of data still do require the persistence of traditional storage solutions however, so we abstract away the difference between persistent and serverless storage to traverse your data as one big pool (data lakes).
Additional custom or client-specific features and functionalities are developed using precisely integrated microservices. Our reusable library of microservice components grows more robust with each new implementation and feedback from clients through our Contractor Engagements, which allows us to develop custom integrations more quickly than traditional ground-up development shops. Incorporate our machine learning and Artificial Intelligence components to get the most out of emerging technologies by analyzing your data/images/audio/etc. for unique patterns and/or generating extended validated metadata automatically.
Custom information interfaces can be built seamlessly and simply on any frontend framework using the GraphQL APIs once your data is Typed and Organized, including custom query builders that let you introspect and traverse your data in any way you can imagine. All of this provides dynamically empowered data for diverse, robust and meticulous use cases.
How it Works
Take all your content and data and just toss it in TheMIX!
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Features of our Technology and Implementation
- Manage any combination of Structured and Unstructured Data/Content via a single GraphQL interface
- Ingest
- Manipulate
- Query and Construct
- 100% GraphQL based service interface with Legacy compatibility support for REST and JSON translation for data ingress/egress
- Completely Cloud Agnostic as well as being simultaneously Cross-Cloud Compatible
- AWS in production operations to date
- Cross-Cloud integrations to date have only been tests
- Data Source Agnostic – Aggregates multiple disparate data sources and exposes them all as a single graph
- Merge Structured and Unstructured Data in Real-Time Queries
- Uses Introspective Resolvers to recursively transverse complex data sets (or lakes) and create usable information links
- Can merge your data in real-time queries with external data sources accessible via any Public or Integrated Paid APIs
- One Repository for both Content Data and Metadata
- All front end frameworks supported (React, Vue, Angular)
- Transform content directly in your queries
- Image Transform
- Hooks for a full suite of Cloud-Based Editing and Production workflows
- Native Localization Support for all text-based fields
- Can auto-create field translations using AI translator of your choice (Watson, Google, AWS, Asure, AI Translate)
- Auto-Scaling Optimized Infrastructure
- Completely Serverless Infrastructure means you can scale from zero requests to millions of requests and back down to zero instantly (Infrastructure only exists when you are using it). Literally pay only for the processing and storage you actually use to the millisecond
- Zero Maintenance
- Plus, less server room power consumed is better for the environment—win, win
- Authentication and Authorization built-in
- Control Access at every granular level
- Traditional API Security
- User Authentication built-in
- With Role-Based Permissions
- Read
- Write
- Admin
- Can integrate with your SSO system using SAML or OAUTH
- With Role-Based Permissions
- Individual Content Access Controls
- Authorization at User, Roles and Tenant level
- Control Access at every granular level
- Content Agnostic CMS/MMS
- Not designed just for website content or publisher data – designed with real-time data manipulation, access and analysis in mind
- Ideal for Machine Learning and AI Datasets and Workflows
- Integrate SageMaker, Tensor, Watson. . .
- Manipulate and Access Both types of Digital Data in the same system
- Content Data – Actual Assets and Content Elements
- Metadata – Descriptive information about Assets and Content
- Extended Validated info across multiple domains via Schema Definition Links and Robust Type System Creation
- Automate Temporal Workflows – As data gets generated by processes it gets fed back into the system to trigger downstream events
- Ideal for Machine Learning and AI Datasets and Workflows
- Not designed just for website content or publisher data – designed with real-time data manipulation, access and analysis in mind
- Infinitely Extensible – Expand your Data Lake, GraphQL Schema and Type system while maintaining complete backward compatibility with all existing front-end interfaces
- Custom Intuitive Content Modeling – We work with your domain experts to generate an individualized Type System consisting of:
- Buckets – Logical Groupings based on Asset Management best practices
- Multi-Stage Syncing
- Multi-Tenant Separation
- Project/Location/Organizational/etc Groupings
- Can be thought of like Physical Divisions
- Objects – Defined Types of Content Elements (ie. Video, Image, Person)
- Schema Defined info as Document Objects in a Document DB
- Can be thought of like Predefined Logical Grouping
- Metadata
- Extended information that can
- Augment Object Data
- Create unique relationships between Object Types
- Inform Nesting and Hierarchical Management loops
- Store data mapping info
- Virtually anything needed to correlate, normalize, transpose or manipulate your data in novel ways
- Can be thought of like Decorators to provide additional contextual mapping between Objects and Buckets
- Extended information that can
- Buckets – Logical Groupings based on Asset Management best practices
- Type System Generated for your unique domain and data requirements is normalized to the cross-domain Type system, allowing your data to integrate with all other normalized data domains
- Custom Intuitive Content Modeling – We work with your domain experts to generate an individualized Type System consisting of: