Questions, answered.

Tyvex designs and builds digital products, applied AI workflows, and cloud and data systems. Depending on the project, that can include product definition, interface design, engineering, deployment, and handover.

We work on web products, internal tools, design systems, AI-enabled workflows, APIs, data infrastructure, and cloud platforms. The best fit is a real product or operational problem that needs thoughtful engineering.

Yes. We can collaborate with an in-house team, work within an existing codebase, or take responsibility for a defined part of the product. We first learn how the current system and team work before proposing changes.

We start with a conversation about the product, users, constraints, and what needs to improve. If there is a fit, we agree on scope, responsibilities, milestones, and fees in writing before work begins.

Fees depend on the scope, team, and delivery needs. After we understand the brief, we provide a written proposal with the work and costs defined before you commit. We do not use one fixed price for projects that have different requirements.

Timing depends on the scope, the decisions involved, and any external dependencies. We set expectations and milestones during planning, then share working software for review as the project progresses.

We begin with the workflow and the problem to solve. When AI is useful, we design around the available data, evaluate expected behavior and failure cases, and include human review where the work calls for it.

Ownership, licensing, and the treatment of reusable tools or third-party components are set out in the written project agreement. We clarify those terms before work starts.

Post-launch support can be included when it is part of the engagement. The agreement defines what support covers, such as maintenance, monitoring, or further product work, and how requests are handled.