Figma
Approved designs and component specs become production interfaces.
White-label delivery / AI-accelerated
Take on bigger software projects. Keep the client relationship.
Webytex gives design and marketing agencies founder-led engineering capacity—AI-accelerated, senior-reviewed and delivered under your brand.
- Founder-led
- White-label
- NDA-ready
- Flexible capacity
- 01BriefClient context and commercial constraints
- 02ArchitectureScope, systems, risks and delivery plan
- 03BuildAI-accelerated implementation under senior direction
- 04QAReview, testing and release evidence
- 05ShipProduction delivery under your agency brand
OUTPUTClient-ready softwareTraceable scope · Reviewable code · Production handoff
YOUR WORKFLOW STAYSFigma → Linear → GitHub → ProductionWEBYTEX ADDS DELIVERY CAPACITY
Agency-compatible delivery
Your stack stays. Your delivery capacity grows.
From design handoff to production, Webytex works inside the tools your agency already uses—under your process and your brand.
Slack / Teams
Decisions and handoffs stay where your team already works.
Linear
Scope, milestones, dependencies and delivery status stay visible.
GitHub
Client-owned repositories, reviewable pull requests and release history.
Codex / Claude Code
Implementation, testing and documentation under senior review.
Vercel / Cloudflare
Preview, production and operations matched to the project.
Product names and trademarks belong to their respective owners. No affiliation or endorsement is implied.
What Webytex can own
A defined technical scope, not another person to manage.
Your agency keeps the commercial relationship. Webytex takes responsibility for architecture, delivery evidence and the production boundary.
Client web applications
Portals, dashboards and workflows that go beyond a marketing site.
AI workflows
Controlled automation with human review, auditability and production safeguards.
Product MVPs
A focused digital product delivered for your client under your agency relationship.
Integrations
Systems, forms, data and operational tools connected around one valuable process.
Rescue and hardening
Fragile prototypes stabilized, tested and prepared for real users.
Specialist gaps
Backend, infrastructure, QA or AI capability added only when scope requires it.
Two ways to start
Scope the work. Then choose the right delivery boundary.
Turn a client request into a delivery plan.
Architecture, constraints, risks, milestones and an implementation boundary your agency can present with confidence.
Ship the agreed software under your relationship.
Founder-led engineering with specialist capacity added only when the signed scope requires it.
AI-accelerated. Senior-reviewed.
Speed without surrendering accountability.
AI supports implementation, testing and documentation. Martin remains responsible for architecture, security, quality and every production release.
- White-label boundariesClient access and communication follow the agency agreement.
- Confidentiality and IPOwnership, access and subcontractor terms are defined before work starts.
- Approved AI useTools, permitted data and no-AI zones are agreed for each project.
- Reviewable deliverySource, decisions, tests and release evidence remain traceable.
One accountable lead
Founder-led from first scope to production handoff.
Martin Poli leads architecture and delivery, then adds trusted design, QA or engineering capacity only when the project earns it. Your agency always knows who owns the technical outcome.
A client project / 03
See whether Webytex fits the delivery gap.
Start with one work email. Add project context only if useful. No newsletter and no automated sales sequence.
Working together
Will Webytex contact our client directly?
Only through the communication model agreed with your agency. White-label and non-solicitation boundaries are defined before delivery starts.
Do we need to change our tools?
No. Webytex can work inside your existing design, communication and planning workflow while adding the engineering systems needed to ship.
Does AI see every client project?
No. Approved tools, permitted information and no-AI boundaries are agreed per project. Credentials, production secrets and regulated data never enter an unapproved AI system.
Can we start with a small technical scope?
Yes. Paid technical scoping can define architecture, delivery boundaries and a client-ready implementation plan before a larger commitment.