Real-time streams
Create, start and stop streams, manage leases and receive events for live video and other continuous inputs.
Your infrastructure.
Your AI. Your business.
Three solutions, five platforms and seven infrastructure products help you privately deploy and take over AI capabilities in your own cloud account, data center or equipment.
Flagship platform · SovereignInference
Operate multimodal algorithms in your own environment with standardized artifacts and input/output contracts across real-time Streams, asynchronous Jobs and synchronous Services.
FROM INPUT TO BUSINESS RESULT
01InputsVideo · images · files · sensors · audio · APIs
→02RunStreams · Jobs · Services
→03ResultsFilter · aggregate · export · review
SovereignInference
Algorithm jobs / Stream control
ReviewedResult center
Inspection result
Output artifactAvailableInput → Algorithm → Result
ONE OPERATING MODEL
Choose the workload that fits the result.
Use one of three workload types while keeping algorithm artifacts, input/output contracts and managed results consistent.
Asynchronous tasks
Queue, claim, retry and cancel jobs, then collect artifacts for image, file and video batch processing.
Synchronous services
Return synchronous inference responses to business APIs through service-oriented invocation.
THE PRODUCT ARCHITECTURE
Three solutions. Five platforms. Seven infrastructure products.
Select the layer you need, or combine them into a private AI delivery your team can operate and take over.
01
03Solutions
02
05Platforms
03
07Infrastructure products
Deployment foundationYour public cloud infrastructure / private cloud / equipmentPrivate deployment · ready for handover
BY ORGANIZATION STAGE
Find the stage that sounds like yours.
Use your organization's role, available resources and first collaboration scenario to choose a starting point. Each group then leads to a relevant delivery solution or Sovereign platform scope—not a one-size-fits-all platform.
01 /
Incubators, accelerators, university science parks & industrial parks
Why they buy
Create a credible shared technology service without confusing park procurement with each resident company's own purchase.
A suitable first collaboration
Start with a park service boundary: a priority tenant scenario, shared versus private resources, onboarding and support responsibilities.
Where it can go next
Extend with independently scoped tenant projects, regional AI offerings or equipment and data scenarios.
02 /
Compute asset holders & regional AI service operators
Why they buy
Turn controlled compute and model supply into a branded, governed service with a usable commercial path.
A suitable first collaboration
Run a Token Factory discovery around model supply, capacity, target customers, offers and acceptance.
Where it can go next
Add Engine, gateway-core, compute operations and, where appropriate, algorithm products.
03 /
Traditional industrial enterprises & technology subsidiaries
Why they buy
Bring one prioritized AI workload closer to their own operations, data and deployment control.
A suitable first collaboration
Start with one bounded internal workflow, data boundary, user group and acceptance result; this may lead with SovereignInfra or a selected platform.
Where it can go next
Extend from the accepted workload to shared compute, model services, device data or algorithm delivery.
04 /
Companies that hold industry data
Why they buy
Turn data assets into controlled model or algorithm outputs while retaining clarity over data rights, evaluation and release.
A suitable first collaboration
Start a Model Factory discovery with a defined data set, use case, handling constraints, evaluation method and release responsibility.
Where it can go next
Productize accepted model iterations through Engine, Inference or an approved commercial channel.
05 /
Equipment makers, manufacturers & multi-site operators
Why they buy
Connect non-video device or equipment data with operational AI while preserving site, protocol and support boundaries.
A suitable first collaboration
Start with one site, protocol, data or alert workflow and named field owners; add an algorithm workflow only when its inputs and results are agreed.
Where it can go next
Add IoT, Inference, edge components or model services subject to field and runtime validation.
06 /
Startup technology companies
Why they buy
Shorten the route from a product proposition to a controlled AI capability without taking on an unnecessary all-platform programme.
A suitable first collaboration
Clarify the first customer workflow, model or algorithm dependencies, deployment choice, offer and budget.
Where it can go next
Use Model Factory for data-oriented model work, Token Factory for commercial operation, or select a platform as needs harden.
07 /
System integrators & regional technical service providers
Why they buy
Deliver a clear local solution while retaining responsibility boundaries across software, environment and handover.
A suitable first collaboration
Scope one joint delivery: roles, existing-system integration, operator handover and acceptance.
Where it can go next
Build recurring combinations around SovereignInfra, IoT, Inference, Engine or gateway-core.
08 /
Investment institutions & their controlled incubation platforms
Why they buy
Assess and enable technology capability across a portfolio or incubation programme without presenting a generic shared platform as a guaranteed service.
A suitable first collaboration
Choose one investee or incubation scenario and separate the sponsor, signing entity, data, budget and success conditions.
Where it can go next
Support qualified companies through separately scoped Model Factory, Token Factory or infrastructure work.
SHAPE THE FIRST COLLABORATION
Agree the smallest reusable first step.
A first collaboration is not an abstract roadmap. It identifies the business result, available resources, owners and conditions that make a later rollout worth repeating.
Scenario
One business objective, known user and visible outcome.
Resources
The environment, data, devices, compute or models that can actually be made available.
Responsibilities
Named business, technical, operating and acceptance owners.
Budget
A decision range and procurement route appropriate to the first scope.
Scope
Delivery, integration, excluded work, operating assumptions and acceptance criteria.
Reuse conditions
What must be documented, licensed, versioned and transferable before a later rollout can reuse it.
Business enquiries
Make the next move yours.
Tell us what you want to build. We will help define the platform, delivery scope and next step.