Aiqwip Technologies Pvt Ltd

Our largest client started with a $2,000 PoC. That engagement is now at $175,000+, an enterprise-grade SaaS platform with 100+ active users. That's the kind of trust we build.

We're a team of 15+ engineers, and we focus on one thing: AI integration and turning AI product ideas into production systems that actually run businesses. Not demos that impress in a meeting and break in production. Full stack SaaS applications with a great UI/UX, Robust backend server, well built database, AI engine, and deployment. All built to scale.

If we over-commit and under-deliver? 100% refund. No questions asked.

What We've Built

• HR Tech: Built an AI screening platform that cut manual candidate review time by 70% ($17K project). Another client needed AI video interviews that score candidates automatically. Recruiters now spend half the time they used to.
• Finance: An AI invoice automation tool that reads 15+ formats and eliminates manual AP entry. A Text-to-SQL chatbot that lets business users query databases in plain English ($10K project). No SQL knowledge needed.
• Legal: An AI chatbot for document Q&A where lawyers search 10K+ documents instantly instead of digging through files for hours.
• Customer Experience: AI voice support that handles inbound calls end-to-end with live CRM sync. An AI roleplay platform with real-time video avatars for sales training.

How We Work

• Phase 0, Consulting call: We talk through your idea, validate the concept, and figure out the right architecture. No commitment.
• Phase 1, POC: $2,000 to $5,000. We build a working system, not a slide deck. You see if we're the right fit. We see if the problem is what we thought it was.
• Phase 2, Production: If the POC works, we harden it for real users. Add the full application layer. The same team that built the POC takes it to production.
• Phase 3, Scale: Optimize, add features, handle a growing user base. Our best clients have been with us for 12 to 18+ months. We grow with the product.

Tech Stack
LLMs: OpenAI GPT API, Claude, Llama, AWS Bedrock, Azure OpenAI, Groq, Gemini
Agentic Frameworks: LangGraph, LangChain, MCP, LlamaIndex, Langflow, mem0
Vector Databases: Pinecone, PGVector, ChromaDB, FAISS, Milvus
Backend: Python, FastAPI, Django, Flask
Frontend: React, NextJS, TypeScript
Database: PostgreSQL, MongoDB, Redis, Azure CosmosDB Cloud: Azure, AWS, Docker, CI/CD Voice & Speech: ElevenLabs, LiveKit, Whisper