SaaS AI Engineering

AI Engineering for SaaS & Software Products

XPndAI builds AI-native features for SaaS products: AI copilots, in-app agents, RAG-powered search, and LLM integrations that turn software into intelligent platforms.

What We Build
For Your Business

End-to-end AI and software engineering with measurable enterprise outcomes.

How Leading Teams
Deploy This Technology

1

AI Copilot — B2B SaaS HR Platform

A B2B HR SaaS platform embedded our AI copilot to help HR managers draft job descriptions, generate interview questions, and analyze candidate summaries. The feature became the product's highest-rated capability and directly contributed to reduced churn.

2

In-App RAG Search — Project Management SaaS

A project management tool replaced their keyword search with our RAG-powered semantic search across project documents, tickets, and wikis. Users now find relevant context in natural language, reducing context-switching time significantly per user.

Built With Modern Tools

OpenAI GPT-4oAnthropic ClaudeLangChainLlamaIndexPineconeFastAPINode.jsReactPostgreSQLAWS

Common Questions Answered

Everything you need to know before starting an AI project with XPndAI.

What AI features can XPndAI add to an existing SaaS product?

XPndAI adds AI copilots embedded in your UI, semantic search powered by RAG replacing keyword search, AI agents that automate multi-step user workflows, natural language analytics letting users query data in plain English, generative content features (summarise, translate, draft), and LLM integrations with OpenAI, Claude, and Gemini APIs.

How much does adding AI to a SaaS product cost?

AI feature development at XPndAI starts from ₹8–15L for a single embedded AI feature (copilot, semantic search, or generative content), ₹25–60L for a full AI layer across a SaaS product, and ₹1–3Cr for building a new AI-native SaaS product from scratch. US clients:

0K–$300K.

How long does SaaS AI integration take?

A single AI feature (copilot, smart search, or analytics Q&A) takes 4–6 weeks to integrate and ship. A full AI product layer across an existing SaaS takes 3–5 months. XPndAI works as an embedded AI engineering team alongside your existing dev team.

Which LLMs and AI APIs does XPndAI use for SaaS products?

XPndAI integrates OpenAI GPT-4o, Anthropic Claude 3.5 Sonnet, Google Gemini 1.5 Pro, Mistral, and open-source models (Llama 3.1, Qwen) depending on your cost, compliance, and performance requirements. We implement streaming, prompt caching, and cost optimisation to keep AI inference costs under control at scale.

Can XPndAI build an AI agent that operates inside our SaaS autonomously?

Yes. XPndAI specialises in agentic AI for SaaS — multi-step AI agents that plan, act, and verify across your product's own APIs and databases. Examples: an agent that automatically generates monthly reports and emails them to users, or an agent that re-orders inventory when stock falls below AI-predicted thresholds.

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  • Technical Architecture Blueprint — custom for your use case.
  • Scalable Infrastructure — built for enterprise growth.
  • Production-Ready Code — rigorous QA and deployment.
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