AI product development that holds up with real users.
We check whether your AI idea is worth building and price it, then build it. We work with businesses in India, the UAE, the USA and the UK.
What we've built
80+
Production AI systems designed, including work for T-Mobile and Optimum
Anwar Sheikh, Co-Founder & CTO
30 tools
One agent, with a person approving money, messages and deletes
BigDeal AI, our in-house product
Under 5s
For an AI agent to answer every inquiry
Treasures Int Contracting, Dubai
Built properly the first time.
Every build starts from an audit of what your business needs, so you aren't patching it six months after launch.
AI products
One AI tool built around one problem your customers or team have. We build our own too, like RealtyOS, an AI CRM for real estate.
12 wks
idea to live product
Document intelligence and computer vision
Software that reads invoices, IDs, contracts, drawings and photos, scores its own confidence, and sends your team only what needs checking.
Custom web apps and portals
Internal tools, client portals and dashboards, designed around how your team works rather than a template.
8-14 wks
kickoff to live
Mobile apps and e-commerce
iOS and Android apps, native or cross-platform, and Shopify, headless or custom stores built to bring customers back.
Marketing sites and landing pages
Fast pages tracked from the first day, on Webflow, Framer or a headless CMS your team can edit without a developer.
Validate the cost before you build.
See roughly what your MVP would cost in your market, for your type of project and features, before you spend anything.
A cost range in seconds
Pick your market, project type and features. The range updates as you go, before any discovery work.
Priced for your market
Ranges follow local rates in the USA, India and the UAE, so you can compare where to launch.
See what drives the cost
Switch payments, AI or real-time updates on and off, and watch the estimate move.
MVP cost estimator
Target market
Project type
Key modules (3 selected)
Estimated cost range
$20k to $84k
3 modules · SaaS Platform · USA market
The right model for each job.
Foundation models
- OpenAI GPT
- Anthropic Claude
- Google Gemini
- Meta Llama
- Mistral
Vector search and RAG
- Pinecone
- Qdrant
- Weaviate
- LlamaIndex
- LangChain
Vision
- YOLO v11
- EfficientDet
- TrOCR
- Grounding DINO
- SAM 2
Infrastructure
- AWS SageMaker
- GCP Vertex AI
- Modal
- Replicate
- Docker/K8s
From first call to live product.
30 min
Discover
A free call to find the highest-return thing to build. Sometimes an off-the-shelf tool is the better buy, and we'll say so.
Week 1
Audit
We review your stack, data and team, and write an architecture document that names the risks up front.
Week 2
Scope
Fixed deliverables, timeline and price, signed off before any code is written.
8-20 weeks
Build
8 to 12 weeks for an MVP, 12 to 20 for a production AI product. You see working software every two weeks.
Ongoing
Operate
An optional retainer for monitoring and new features. Many teams take over after a couple of months, using our runbooks.
Questions about AI products.
What is the difference between building an AI product and using an AI tool?
An AI tool is a subscription: you get what the vendor built for everyone. An AI product is built around your data, your workflow and the outcome you need. We build the second kind, including custom LLM applications, retrieval over your documents and AI agents shaped to how your business works.
How much does custom AI product development cost in India, the UAE, the USA and the UK?
A focused AI product with one core capability usually costs ₹8 to 15 lakh in India, AED 40,000 to 75,000 in the UAE, $15,000 to 30,000 in the USA and £12,000 to 25,000 in the UK. Products with several AI parts or custom-trained models run from ₹20 to 40 lakh in India. The audit fixes the price first.
Which AI models does OutGrow use: GPT, Claude or open-source?
We pick the model for each job. GPT is a strong default for general reasoning and multimodal work. Claude suits long documents and tasks that need careful instruction-following. When cost or data privacy matters most, we run open-source models like Llama or Mistral in your own cloud. We settle the trade-off with you during the audit.
How long does it take to build a production-ready AI product?
Usually 8 to 12 weeks. Weeks 1 and 2 cover the audit and architecture, 3 to 6 the build, 7 to 10 integration, testing and security review, and 11 and 12 launch and training. You see a working prototype around week 4. Products with several AI parts can take 14 to 16 weeks, and we tell you that upfront.
Can OutGrow build a RAG pipeline over our own data?
Yes. We build the whole pipeline: bringing your documents in and splitting them sensibly, embeddings in a vector database like Pinecone, Weaviate or pgvector, hybrid search with re-ranking, and an answer layer that cites its sources. Every pipeline ships with evaluation tooling, so you can measure retrieval and answer accuracy from the first day.
Do you build AI products for startups as well as established businesses?
Yes. Startups with a validated idea usually come to us for an MVP, and established businesses come to add AI to a product or process they already run. If the idea isn't clear yet, the cost estimator on this page or a free call is a good place to start.
Tell us what you want to build.
Thirty minutes, free. We work out the quickest route to a live product, and whether building is the right call at all.
Full name
Company
Work email
Phone
We start from how the work runs today, not from a tool.
You talk to the people doing the work.
Most AI products stall between the demo and real users. We price that gap before you commit to building.
- 20,000+ Leads generated for clients
- 4 Markets served
- 30 days Of close support after launch
Zain Khan and Anwar Sheikh
Founders, OutGrow
Outgrow
Intelligence
Studios.