CUSTOM TECHNOLOGY
Custom technology for
enterprise applications.
We design and build internal tools, client-facing applications, data services and system integrations. Evidence OS provides a reusable foundation; our engineering team extends it for your business processes and existing technology.
FROM REQUIREMENT TO APPLICATION
What does a custom AI solution include?
A custom AI solution combines the model or agent capability with the data, calculations, business logic and application software needed for a specific process. The delivered system includes the interfaces and integrations people use to complete the task.
Whiteboxx starts with your users and systems, selects the Evidence OS services that fit and builds the missing components. A project can produce an internal tool, a client-facing application, a data service or a connected workflow. The delivery scope covers testing, deployment and the responsibilities after release.
WATCH / WHITEBOXX AI
How we approach a custom AI build.
In this video
A demo shows a possibility. A working product needs real users, connected systems and an outcome that can be measured. This video follows a client-reporting example: a secure workspace connected to existing data and reporting tools, with evidence and assumptions visible. It covers the sprint, the build, source-code and operational handover, and the support model agreed for the engagement.
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WHAT WE BUILD
What we build.
AI applications
Internal tools, client-facing software and operational workspaces with the business logic, access and interfaces the application needs.
Explore AI applications 02Data and intelligence systems
Data pipelines, retrieval, entity mapping and query services used by applications and workflows.
Explore data systems 03Systems integration
Connections between business records, application steps and the systems that receive the result.
Explore integrationsTHE STARTING REQUIREMENT
Start from where you are today.
| Your starting point | The next piece of work |
|---|---|
| Several AI experiments, with no agreed next investment. | A 30-day architecture sprint to review the tools, choose a workflow and define the next build. |
| An application or integration requirement you already understand. | Confirm the users, systems and acceptance checks, then scope the build. |
| An existing system that needs another capability. | Review its interfaces and operating requirements, then design the extension. |
PLATFORM REUSE
Carry useful components into the next application.
Separate shared data access, agent and workflow services from the business logic that belongs to one application. That makes it possible to reuse selected services when a new interface, source or process is needed.
Reuse is an architectural choice, not a claim that every integration is already complete. The project identifies the components available today, the extensions to build and the responsibilities after release.
See how Evidence OS is extended