AI Development

AI App Development for Startups

Build intelligent applications with cutting-edge AI—from LLM copilots and RAG systems to computer vision and custom ML pipelines that work in production.

Challenges

Problems we solve

Intelligence that ships—not just demos

AI that works in production

Most AI projects stall at the demo stage. We build systems that handle real users, edge cases, and scale.

Model cost management

Uncontrolled inference costs kill margins. We architect for efficiency from day one.

Data privacy & compliance

Enterprise and consumer apps need robust data handling, guardrails, and audit trails.

Integration complexity

Connecting LLMs, vector stores, APIs, and business logic into a cohesive product experience.

Solutions

How we deliver

Purpose-built capabilities—not generic dev tasks.

01

LLM & RAG Systems

Retrieval-augmented generation pipelines with custom knowledge bases and intelligent context management.

02

AI Copilots & Agents

Task-specific AI assistants that automate workflows and augment human decision-making.

03

Computer Vision

Face swap, virtual try-on, image generation, and video AI with production-grade quality.

04

Custom ML Pipelines

Fine-tuned models, training pipelines, and inference optimization for your specific use case.

Process

Our process

From discovery to launch—clear milestones at every stage.

01

Discovery

We map your users, goals, and technical landscape—aligning on scope, risks, and success metrics.

02

Strategy

Product roadmap, architecture decisions, and a delivery plan tuned to your runway and milestones.

03

Design

UX flows, UI systems, and prototypes that validate the experience before production code.

04

Development

Agile builds with weekly demos, transparent progress, and production-grade engineering practices.

05

Launch

App Store, Play Store, cloud deploy, monitoring, and go-live support for a confident release.

Features

What you get

Production-ready capabilities included in every engagement.

LLM Integration

OpenAI, Anthropic, and open-source models orchestrated for your product workflow.

RAG Architecture

Vector databases, embedding pipelines, and retrieval systems for knowledge-heavy apps.

AI Agents

Multi-step agents that plan, execute, and validate tasks autonomously.

Guardrails & Safety

Content filtering, prompt injection protection, and output validation.

Cost Optimization

Smart caching, model routing, and batch processing to control inference spend.

Production Monitoring

Latency tracking, quality metrics, and fallback strategies for reliability.

Technologies

Tech we use

  • OpenAI
  • Anthropic
  • Python
  • TypeScript
  • Next.js
  • Pinecone
  • PostgreSQL
  • AWS
  • Core ML
Case Studies

Products we've shipped

Real launches with measurable outcomes.

Face Swap & AI Video Generator
AI · iOS · Photo & Video

Face Swap & AI Video Generator

All-in-one AI creative studio for photos and videos: realistic face swap, AI face editor, age and gender transformations, expression editor, AI makeup, plus text-to-video and image-to-video generation.

View Case Study
AI Outfit Try On & Dress Up
AI · iOS · Fashion

AI Outfit Try On & Dress Up

Try any outfit on yourself in seconds with AI. Change clothes in photos, experiment with new fashion styles, and create realistic virtual try-on looks instantly.

View Case Study
AI Generator Studio
AI · Web App · Media

AI Generator Studio

Create AI-generated photos and videos online with HD quality and premium features. Experiment with different styles and export share-ready content in minutes.

View Case Study
FAQ

Common questions

Timelines vary by scope. MVPs typically ship in 4–8 weeks. Full SaaS platforms or AI apps range from 8–16 weeks. We provide a detailed timeline during discovery.

Ready to build?

Your next product deserves a team that ships.

Book a free consultation. We'll map your idea, timeline, and the fastest path to a product your users—and investors—will believe in.