Direct access to the person building the system.
- No account-manager layer.
- No junior handoff.
- Faster decisions and shorter feedback loops.
For companies that want more enquiries and less manual work. Live in three weeks on average.


























































































Spreadsheets
Inboxes
Admin screens
AI experiments
Selected projects: what was built, how it works, and what it changed.
Launch gets a new offer live. Operate runs the daily work in one system. Automate hands repeat work to AI, with a person checking where it counts. Start with the one that fits your situation.

Public surfaces and product starts that make a new offer usable fast.

Operational software for dashboards, portals and booking flows, and coaching for teams who build on their software themselves.

AI consulting, chat and phone assistants, knowledge systems, workflow automation, and agents with review gates.
Describe how the workflow runs today and where it gets stuck. You get one concrete next step: an audit, a prototype, a small first build, or a plan in phases.
Five delivery stages turn the plan into a launched product with visible progress, review points, and production checks.
The first step settles what the project should achieve, who it is for, and how success will be measured.
A tailored roadmap with milestones, technology recommendations, and a clear timeline for delivery.
Weekly demos, rapid iterations, and daily deployments. You see progress every step of the way.
Performance, accessibility, conversion, build quality, and launch checks stay visible through testing and refinement.
Deployment moves to the agreed target with documentation, monitoring where needed, and the support window defined before launch.
Real feedback from people who worked directly with Sebastian.
Traditional agencies split strategy, design, development, and delivery across multiple people. The loop stays tight here. You work directly with Sebastian, the engineer responsible for understanding the workflow, designing the system, building the application, and shipping it to production.
AI-native development shortens the timeline, while product and architecture decisions stay in experienced hands.
A compact production stack for fast interfaces, typed backend logic, reliable data, AI integrations, deployment, and monitoring. Proven tools over trends. Every choice keeps your system fast to build, easy to maintain, and ready to grow.
See it in production
A truck cab damper, modelled in code for a CNC shop's website. On the site it comes apart as you scroll.
See the Kernspan projectBusiness software becomes valuable when people actually use it. After launch, monitoring, fixes, small improvements, workflow extensions, and AI automation support keep the system close to the team that runs it.
Plan ongoing supportAPIs and integrations for payment processors (Stripe), email services (Resend), CRMs, ERPs, and custom internal tools can be connected.
30 minutes, free. Afterwards you know whether it fits.
Scope, timeline, deliverables and cost are settled before anything is built.
You see every week what was built and steer early.
Source code and repository are yours, documented for any handover.
Write a few lines about what you want to build or what is not working today. You get a concrete next step back.
Free consultation. Response within 24 hours.
Or write to mail@webvise.io
Sebastian built me something I haven't seen on the market. A research studio that thinks in my voice, scans broadcaster feeds while I sleep, and renders the final DOCX in our publisher CI without me touching a single template. The vault is where my work actually lives now. I pitch more, sharper, faster.