AI App Development Company — India
Ship AI-Powered Products That Actually Work
Xenotix Labs builds production-ready AI applications for startups and enterprises. LLM integrations, RAG pipelines, GPT chatbots, document AI, semantic search — we design and ship AI systems that solve real problems, not demos.
AI integrations from ₹3 Lakhs ($3,500 USD). Full AI-first products from ₹10 Lakhs ($12,000 USD).
AI Capabilities We Deliver
We don't just wrap APIs. We design AI systems that are reliable, cost-efficient, and maintainable.
LLM-Powered Chatbots
Context-aware assistants trained on your product data. Customer support, onboarding, internal knowledge bots.
RAG Document Q&A
Upload PDFs, contracts, manuals — users ask questions in plain English and get cited answers instantly.
AI Workflow Automation
Automate multi-step business processes using AI agents that can call APIs, parse documents, and make decisions.
Semantic Search
Replace keyword search with meaning-based retrieval using vector embeddings. Find what users mean, not just what they type.
Image & Vision AI
Object detection, image classification, OCR, document scanning, and visual inspection for manufacturing or medical use cases.
AI API Integration
Integrate OpenAI, Gemini, ElevenLabs, Replicate, or any AI API into your existing product stack.
Pricing
Fixed-price or Time & Material. No retainer locks. Full code ownership.
AI Integration
₹3–8 Lakhs
$3,500–$10,000
Delivery: 4–6 weeks
- ✓Add AI to existing product
- ✓Chatbot / assistant
- ✓Document Q&A
- ✓Semantic search
- ✓API integration (OpenAI, Gemini)
- ✓Prompt engineering & tuning
AI-First SaaS
₹10–20 Lakhs
$12,000–$24,000
Delivery: 8–12 weeks
- ✓Full product build
- ✓Custom AI pipeline
- ✓Vector database setup
- ✓Usage metering & billing
- ✓Admin controls & analytics
- ✓Multi-tenant architecture
- ✓30-day free support
Enterprise AI
₹20+ Lakhs
$24,000+ USD
Delivery: 12–16 weeks
- ✓Everything in AI-First SaaS
- ✓On-premise LLM deployment
- ✓Fine-tuning support
- ✓Compliance-ready architecture
- ✓SSO / enterprise auth
- ✓SLA & dedicated support
Our AI Development Process
We validate before we build. Every AI project starts with a feasibility review — no wasted sprints chasing hallucinating models.
AI Feasibility Review
We assess your use case, data availability, and model selection. We recommend the right AI approach before you spend anything.
Data & Architecture Design
We design the data pipeline, vector store, prompt engineering strategy, and system architecture.
Prototype & Validate
We build a working proof-of-concept you can test. Validate the AI output quality before full build.
Production Build
Full application development: UI, backend, AI pipeline, auth, monitoring, and API.
Evaluation & Tuning
We measure AI output quality with real inputs and tune prompts, retrieval parameters, and model settings.
Deploy & Monitor
Production deployment with cost monitoring, token usage tracking, and alerting for AI failures.
Frequently Asked Questions
What types of AI applications does Xenotix Labs build?
We build LLM-powered chatbots, RAG (Retrieval-Augmented Generation) document Q&A systems, AI workflow automation tools, semantic search engines, image classification apps, recommendation engines, and AI-integrated SaaS platforms. If your product needs to reason over data, generate content, or make predictions, we can build it.
Which AI models and frameworks do you work with?
We work with OpenAI (GPT-4o, GPT-4 Turbo), Google Gemini, Anthropic Claude, Meta LLaMA, and open-source models via Hugging Face. For orchestration, we use LangChain, LlamaIndex, and custom pipelines. For vector databases, we use Pinecone, Weaviate, and pgvector. We recommend the right stack for your cost, latency, and data privacy needs.
How much does it cost to build an AI application?
Adding AI features to an existing application costs ₹3–8 Lakhs ($3,500–$10,000 USD). Building an AI-first SaaS product from scratch costs ₹10–20 Lakhs ($12,000–$24,000 USD). Enterprise AI platforms with fine-tuned models, compliance requirements, or large-scale data pipelines start at ₹20 Lakhs ($24,000 USD). Timelines range from 6–12 weeks depending on complexity.
Can you build AI apps that handle private or sensitive data?
Yes. We design AI architectures with data privacy in mind. Options include on-premise LLM deployment (LLaMA, Mistral), Azure OpenAI Service (data doesn't leave your region), and Anthropic Claude with enterprise data retention policies. We can help you design a compliant AI architecture before any code is written.
How long does it take to build an AI app?
A basic AI integration (chatbot, document summarizer, semantic search) takes 4–6 weeks. A full AI-first product with a custom interface, admin controls, usage metering, and API backend takes 8–12 weeks. Complex enterprise platforms with fine-tuning, compliance, and on-premise deployment take 12–16 weeks.
Ready to Build Your AI Product?
Tell us what you're building. We'll recommend the right AI approach and share a scoped estimate within 24 hours.
