AI Development Services
Build Smarter Products with AI & LLM Integration
From autonomous AI agents to Claude & Gemini API integrations, we design and engineer AI-powered features for SaaS startups and growing businesses. Production-grade. Cost-controlled. Delivered fast.
What We Build
End-to-end AI engineering — from selecting the right model to production deployment with monitoring.
Custom AI Agent Development
Build autonomous AI agents that research, reason, and act on behalf of your users. From customer support bots to complex multi-step workflow automation.
LLM API Integration
Seamlessly integrate Claude (Anthropic), Gemini (Google), or GPT-4 (OpenAI) into your existing web application or SaaS platform with robust error handling and cost controls.
AI-Powered Document Processing
Extract, classify, and summarize data from PDFs, contracts, invoices, and documents at scale. Turn unstructured data into structured, actionable insights.
Conversational AI & Chatbots
Build context-aware, multi-turn conversational interfaces backed by vector databases and retrieval-augmented generation (RAG) for accurate, domain-specific responses.
Semantic Search & Recommendations
Replace keyword search with AI-powered semantic search and personalized recommendation engines using embeddings and vector similarity.
AI Feature Integration into SaaS
Add intelligent features to your existing SaaS — smart autofill, AI-generated summaries, predictive analytics, or natural language query interfaces.
Our AI Tech Stack
We work with the best-in-class AI models, frameworks, and infrastructure tools.
Frequently Asked Questions
Which AI model should I use for my product — Claude, Gemini, or GPT-4?
It depends on your use case. Claude (Anthropic) excels at long-context reasoning and nuanced instruction-following, making it ideal for document analysis and agents. Gemini is strong for multi-modal tasks (images + text) and integrates well with Google Workspace. GPT-4 has the largest ecosystem and widest third-party integrations. We help you evaluate and choose the right model — or use multiple models for different tasks within the same product.
How much does it cost to build an AI-powered SaaS feature?
A standalone AI feature (e.g., a smart summarization tool or chatbot integrated into your existing app) typically ranges from ₹80,000 to ₹3,00,000 depending on complexity, vector database requirements, and inference costs. We provide fixed-price estimates before work begins.
Can you add AI capabilities to my existing web application?
Yes. We frequently integrate AI features into existing Next.js, React, or Node.js applications. We expose AI capabilities through secure API routes, ensuring your existing architecture stays intact while gaining new intelligent features.
How do you handle AI API costs in production?
We implement token budgeting, response caching, prompt compression, and model-tiering strategies so your AI features stay cost-effective at scale. We also set up monitoring dashboards so you can track API spend in real time.
Is my data safe when using third-party LLM APIs?
We never send sensitive user data to external LLMs without your explicit design decision. Where privacy is critical, we can implement on-premise or private-deployment models, or use data-anonymization pipelines before inference.
Ready to Add AI to Your Product?
Book a free 30-minute strategy call with our engineering team. We'll review your product, suggest the right AI approach, and give you a realistic scope and timeline.
Book a Free Strategy Call →