AI-Powered Web Apps

Intelligent Applications for the Modern Web

Overview

High-conversion web applications built with modern UX and AI features that actually ship. From customer-support automation to AI-assisted workflows and analytics, we build intelligence into your product without compromising performance or trust.

Tech Stack

Next.jsOpenAILangChainSupabaseVercel

Deliverables

Product scope + AI use-case definition (what it should and should not do)
Next.js web app with analytics and conversion-ready UX
AI feature implementation (chat, summarization, search, or agents)
Security + privacy guardrails (scoping, logging, redaction patterns)
Deployment pipeline (Vercel) + monitoring and iteration plan

Generative AI Integration

LLM integration for chat, summarization, search, and workflow assistance with safe, measurable behavior.

Predictive Analytics

Data pipelines and models that help you forecast behavior, prioritize leads, and spot trends sooner.

Autonomous Agents

Agentic workflows that can take actions with approvals, guardrails, and auditability.

High-Performance UI

Fast, accessible UIs built with Next.js and optimized for conversion, SEO, and Core Web Vitals.

RAG & Knowledge Search

Private, scoped retrieval so your AI can answer from your docs without leaking data.

Experimentation Ready

Event tracking and iteration loops so AI features improve over time, not just at launch.

Typical Use Cases

AI Customer Service

Automated 24/7 support portals that handle 80% of routine inquiries autonomously.

Smart E-commerce

Personalized shopping experiences with AI-driven product recommendations and dynamic pricing.

Internal AI Copilots

Secure copilots for operations, sales, and support teams that summarize, search, and draft responses fast.

AI Workflow Automation

Assistive automation that drafts, routes, and validates tasks while keeping humans in control.

How We Work

Use-Case Mapping

We identify workflows where AI saves time or increases revenue and define success metrics.

Prototype & Validate

We ship a small prototype quickly to validate UX, cost, and model behavior.

Build the Product

We implement the full app: UI, data layer, auth, and integrations.

Evaluate & Add Guardrails

We introduce testing, safety patterns, and monitoring so AI features behave consistently.

Launch & Iterate

We deploy, measure usage, improve prompts, and evolve features based on real user behavior.

FAQ

Do we need a huge dataset to build AI features?

No. Many high-value workflows start with retrieval from your existing documents and structured data, then evolve from real usage.

How do you control AI costs?

We optimize prompts, add caching and routing, and choose the right model for each task so cost scales with value.

Can AI access our private data safely?

Yes—when designed properly with scoped retrieval, redaction, and access control tied to user permissions.

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Our capabilities extend across the entire Microsoft ecosystem and custom AI development.