How to Create AI
for Your Business
You don't build AI. You integrate it. We embed world-class AI into your mobile apps, web platforms, and custom software — so your product gets smarter without a data science team.
Most businesses don't need to build AI.
They need to integrate it.
Training a model from scratch costs hundreds of thousands of dollars and takes 6–18 months. Integrating a world-class AI API into your product takes 6–10 weeks and costs a fraction of that — with comparable or better results.
Custom Model Training
Budget
$100K–$1M+
Timeline
6–18 months
Best For
Research labs only
Fine-Tuning Open Source
Budget
$20K–$80K
Timeline
3–6 months
Best For
Unique proprietary data
AI API Integration ✓
Budget
$8K–$40K
Timeline
6–10 weeks
Best For
Most businesses
AI Integration Types
Every project is scoped to a specific business outcome — not a generic \"add AI\" deliverable.
AI Chatbots & Assistants
Context-aware chatbots that know your product, answer customer queries, and escalate when needed. Integrated into your website, mobile app, or internal tools.
RAG Knowledge Systems
Connect AI to your internal documents, knowledge base, or product data. Users get accurate, grounded answers — not generic hallucinations.
AI Automation & Agents
Autonomous agents that handle ticket routing, lead qualification, document review, and multi-step business workflows without human intervention.
Mobile App AI Features
Add AI-powered search, in-app assistants, image recognition, or smart recommendations to your iOS, Android, React Native, or Flutter app.
Web App & SaaS AI
Embed AI summaries, natural language queries, content generation, or intelligent dashboards directly into your Next.js, React, or custom web platform.
Secure Enterprise AI
AI integrations with enterprise-grade access control, data isolation, rate limiting, and cost monitoring — suitable for regulated industries.
From Brief to Live in 6–10 Weeks
Discovery & Use Case Scoping
Week 1–2We map your product, identify the highest-ROI AI integration points, and define exactly what success looks like. No vague promises — concrete KPIs from day one.
Architecture & Data Design
Week 2–4We choose the right model (GPT-4, Claude, Gemini, or open-source), design the prompt engineering strategy, and — if needed — design the RAG pipeline and vector database.
Engineering & Integration
Week 4–9We build the backend AI layer and integrate it into your app. Frontend components, API design, error handling, cost monitoring, and rate limiting — all included.
Testing, Evaluation & Launch
Week 8–12We run evaluation suites across edge cases, test accuracy benchmarks, and set up production monitoring. Then we ship — with full handover documentation.
Ready to add AI to your product?
Tell us what you're building and what problem you want AI to solve. We'll scope the right integration approach and give you a realistic timeline and budget within 48 hours.