What kinds of AI products does OutGrow build?

OutGrow builds: LLM-powered applications (document Q&A, AI assistants, intelligent search); RAG (Retrieval-Augmented Generation) pipelines over proprietary data; agentic software (autonomous workflow systems); AI-native SaaS products; AI-powered internal tools (dashboards, copilots, decision support); and custom AI features added to existing software. We have built AI products for real estate, EdTech, legal, financial services, and B2B SaaS clients.

How much does AI product development cost?

OutGrow AI product engagements: India — ₹12–50 lakhs depending on complexity. UAE — AED 60,000–250,000. USA/UK — $15,000–$60,000 / £12,000–£50,000. An AI MVP (2–3 core features, production deployment) typically takes 6–10 weeks and sits at the lower end. Complex multi-agent systems or fine-tuned models with enterprise integrations sit at the higher end. All engagements are fixed-price with scope agreed upfront.

Which LLMs does OutGrow use — GPT-4, Claude, or open-source models?

We use the best model for each specific task. GPT-4o for general reasoning, document analysis, and customer-facing features. Claude for long-context processing and nuanced writing. Llama and Mistral for on-premise deployments or cost-sensitive inference at scale. We never lock clients into a single provider — architecture decisions are driven by your cost, accuracy, and data privacy requirements.

What is a RAG pipeline and when does my business need one?

RAG (Retrieval-Augmented Generation) lets an LLM answer questions using your proprietary documents and data — rather than only its training data. You need a RAG pipeline if you want AI to accurately answer questions about your products, contracts, policies, customer data, or internal knowledge without hallucinating. OutGrow has built RAG systems for legal document review, real estate knowledge bases, and SaaS product documentation.

Do we own all the code and models OutGrow builds?

Yes — completely. Every line of code, fine-tuned model weights, training data pipelines, and infrastructure configurations transfer to you at project close. No IP retained by OutGrow. No ongoing platform fees. No proprietary wrappers that create dependency.

AI Product Development Agency — Build AI Products from MVP to Production | OutGrow

OutGrow builds custom AI products for businesses in India, UAE, USA, and UK. LLM applications, RAG pipelines, agentic software, and AI-native SaaS from concept to production. 6–10 weeks to MVP. Full code ownership.

What We Build

LLM-powered applications — document Q&A, AI assistants, intelligent search
RAG (Retrieval-Augmented Generation) pipelines over your proprietary data
Agentic software — autonomous multi-step workflow systems
AI-native SaaS products — full product development from scratch
AI copilots and internal tools
AI features added to your existing software

AI Product Development Cost

India: ₹12–50 lakhs. UAE: AED 60,000–250,000. USA/UK: $15,000–$60,000 / £12,000–£50,000. All fixed-price with scope agreed upfront. An AI MVP with 2–3 core features typically takes 6–10 weeks from kickoff to production deployment.

Technology Stack

Models: GPT-4o, Claude, Llama, Mistral — selected per task. Backend: Python, FastAPI, Node.js. Frontend: React, Next.js. Orchestration: n8n, LangGraph, custom agents. Infrastructure: Vercel, AWS, GCP, or self-hosted. All code and model weights transfer to you at project close.

OutGrow AI Product Process

Discovery & Architecture (Week 1–2): Product vision, AI component mapping, tech stack selection
Data & Model Planning (Week 2–3): Training data, RAG pipeline design, model selection
MVP Development (Weeks 3–8): Core AI features built in fortnightly sprints
Integration & Testing (Weeks 8–10): System integration, accuracy benchmarks, production hardening
Deployment & Handover: Deploy to your infrastructure, full documentation, code ownership transfer