Ingest approved documents, preserve metadata and retrieve relevant context according to user permissions.
Web design / development / AI implementation
Build a digital product people can understand and use.
Wemaxa designs custom websites and applications, implements full-stack systems, and integrates AI where it solves a defined workflow. The visual system, software behavior and production environment are designed together instead of being handed between unrelated vendors.
DESIGN
BUILD
IMPLEMENT
BUILD
IMPLEMENT
Core services
One product, multiple technical layers.
Projects can start with a website, an application or an AI workflow. The scope expands only when the product needs another layer.
01
Web Design
Information architecture, responsive composition, typography, interaction, CMS structure and production frontend.
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02
Full-Stack Development
Interfaces, APIs, authentication, permissions, databases, integrations, background work and deployment.
Explore development ↗
03
AI Integration
Retrieval, structured output, tool use, document workflows, multimodal input, validation and monitoring.
Explore AI implementation ↗
04
Ecommerce
Product structure, storefront UX, cart state, checkout integration and operational system connections.
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05
Applications
Customer portals, dashboards, PWAs and workflow systems organized around tasks, data and permissions.
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06
Enterprise
Discovery, integrations, migration, identity, infrastructure, QA and operational handoff for larger systems.
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AI integration and implementation
Put the model inside a controlled software workflow.
Wemaxa implements AI features with explicit context, permissions and validation. The model can search approved knowledge, return structured data or request limited tools, while the surrounding application remains responsible for access control, business rules and consequential actions.
Require fields and types that the application can validate before the result is accepted.
Expose allowlisted actions while the server verifies arguments and controls execution.
Test normal, ambiguous and failure cases, then monitor usage, latency and provider behavior in production.
Capability studies
Realistic project shapes without invented clients or metrics.
These examples show how design, software and AI can connect in a production scope.
Product + application
Marketing site connected to a customer portal.
Public product explanation, authenticated account flows, role-aware data and a shared visual system.
AI + knowledge
Private knowledge assistant with sources.
Document ingestion, permissions, retrieval, citations, structured behavior and human-visible failure states.
Process
Reduce uncertainty before it becomes expensive.
Discovery, design, implementation and QA each solve a different problem. The project does not need ceremonial deliverables that do not help a decision.
Goals, content and constraints
Define users, page types or workflows, integrations, current systems and the questions that can change scope.
Hierarchy and behavior
Resolve information architecture, visual direction, responsive rules and the important interaction states.
Code, data and integrations
Implement frontend, CMS or application logic against realistic content and failure states.
QA, production and handoff
Verify the live environment, redirects, forms, roles, integrations, monitoring and access before release.
Encyclopedia
A separate 300-entry reference library covering art, materials, typography, design tools and modern web technology. It is available for research without interrupting the studio pages.