Define
Map the real inputs, decisions, handoffs, reviewers, and useful result.
Services / Custom software solutions
Bring the workflow, not the buzzwords.
Delvaux develops, deploys, installs, and improves AI systems around real work—so the result fits the tools, people, evidence, and decisions already in motion.
Software that lands.
A useful AI system is more than a model or a demo. It has to be developed for the job, deployed into the right environment, installed into the workflow, and understandable to the people responsible for the result.
That may mean a focused internal tool, a managed system, an integration across existing software, or a custom application. The form follows the work.
From problem to working system.
Develop
Build the smallest dependable system that improves the workflow.
Deploy and install
Put the system into the environment where the work actually happens.
Operate
Measure the result, support the people using it, and improve what matters.
Real workflows. Deliberate systems.
The common thread is consequential work that benefits from better evidence, clearer handoffs, and controlled automation.
Source-grounded research, monitoring, qualification, review queues, and decision support.
Tool-driven systems for CAD, technical evidence, repeatable checks, and controlled outputs.
Software that turns constraints, scenarios, and operating data into a clearer working picture.
Retrieval, drafting, review, and handoff systems grounded in approved source material.
Install capability. Keep judgment.
Before the first conversation.
- What kinds of workflows can Delvaux Technologies improve?
- Work that depends on research, technical evidence, engineering tools, planning constraints, knowledge retrieval, or careful human review is a strong starting point. The engagement begins with the actual process, not a predetermined AI feature.
- How does a custom software project begin?
- It begins with a bounded workflow brief: what triggers the work, which systems and people are involved, where confidence or time is lost, and what a useful result would look like. Delvaux then decides whether discovery, a focused build, or an existing product is the responsible next step.
- Can Delvaux work with existing systems?
- Yes. A solution may connect to existing software, files, APIs, engineering tools, or review practices when those integrations can be scoped and validated responsibly.
- Does every project use generative AI?
- No. The system should use the simplest dependable combination of software, automation, retrieval, models, and human review that improves the workflow.
Custom stays open.
The product portfolio shows where Delvaux is already investing. It is not the boundary of the work.
When an important workflow does not fit an existing product, a custom software solution can begin with a bounded discovery: understand the work, identify the smallest valuable system, and decide what responsible deployment would require.