AI ENGINEERING STUDIO
INNOVATE • BUILD • ELEVATE
We design, develop, and deploy production-ready AI systems that automate workflows, unlock business insights, power intelligent search, and help companies scale faster using modern LLM technologies.
Trusted Technologies
We build scalable AI applications using industry-leading technologies trusted by startups and enterprises worldwide.
WHERE WE START
We don't sell technology — we solve business problems.
Manual repetitive work
↓
AI Workflow Automation
Thousands of documents
↓
Enterprise RAG Search
Slow reporting
↓
AI Analytics
Poor customer support
↓
AI Assistants
Product research taking hours
↓
Market Intelligence Platform
Disconnected business tools
↓
Custom AI Integrations
WHAT WE BUILD
Six focus areas, each shipped as real, running software — not a proof of concept.
Design autonomous AI agents capable of reasoning, planning, and executing complex workflows across multiple business systems.
Business Outcome
Ideal For
Technologies
Secure document intelligence with citations — search and chat over contracts, policies, and internal knowledge bases.
Business Outcome
Ideal For
Technologies
Replace repetitive manual operations with automated pipelines your team can trust and monitor.
Business Outcome
Ideal For
Technologies
Dashboards and forecasting that turn raw business data into decisions non-technical teams can act on.
Business Outcome
Ideal For
Technologies
Enterprise-grade web applications with AI woven into the core architecture, not bolted on as an afterthought.
Business Outcome
Ideal For
Technologies
OpenAI, Claude, Gemini, Ollama, Groq — the right model routed to the right task, not one model forced everywhere.
Business Outcome
Ideal For
Technologies
TECHNICAL DEPTH
Modern AI technologies we use to build production-ready systems.
START FROM THE PROBLEM
You don't need to know the tech stack. You need the problem solved.
PROOF, NOT PROMISES
Real systems we've shipped end to end — architecture, code, and measurable business impact.
AI Data Analysis Agent — ask business questions in plain English, no SQL required.
Enterprise Document Intelligence — conversational search over PDFs and docs, with source citations.
Multi-agent product research platform — automates hours of e-commerce market research into minutes.
AI Lead-Gen & Outreach Agent — score leads against your ICP and get personalized outreach drafts, no manual research required.
AI Content & Marketing Agent — generate a full social media content calendar and repurpose any blog post into platform-ready content, no writer's block required.
WHAT YOU ACTUALLY RECEIVE
HOW WE WORK
Seven stages, always in this order — nothing ships without testing.
Understand your goals and requirements.
Deliverable: Project roadmap
1-2 days
Research, analysis, and solution architecture.
Deliverable: Architecture document
2-3 days
UI/UX and system design.
Deliverable: Design mockups
2-4 days
Building scalable and secure solutions.
Deliverable: Working build
1-3 weeks
Quality assurance and performance testing.
Deliverable: Test report
2-4 days
Deploy to production with smooth rollout.
Deliverable: Live system
1-2 days
Continuous support and feature improvements.
Deliverable: 30-day support window
Ongoing
THE DIFFERENCE
THE PEOPLE BEHIND QUBRIX
Founder
Abdul Samad is an AIML Engineering student passionate about building real-world AI solutions. Skilled in Python, Machine Learning, Generative AI, RAG, LangChain, LangGraph, and Agentic AI. Experienced in building production-oriented AI applications using FastAPI, React, PostgreSQL, Docker, and Ollama. Currently focused on becoming a strong AI/GenAI Engineer and solving practical problems through intelligent products.
Co-Founder
Zaved Davdani is an AIML Engineering student passionate about Artificial Intelligence, Machine Learning, and building real-world AI solutions. He is skilled in Python, Machine Learning, Generative AI, RAG, LangChain, LangGraph, and Agentic AI. He has experience building production-oriented AI applications using modern AI and software engineering technologies. His goal is to become a strong AI/GenAI Engineer and create innovative AI products that solve practical problems.
WHO WE SERVE
Our approach translates across sectors — the AI changes shape, but the goal stays the same: less manual work, faster decisions.
ROUGH NUMBERS
A quick, non-binding estimate — final scope confirmed on a call.
Estimated Budget
₹50,000 – ₹1,00,000
This is a rough estimate. Exact pricing is worked out together — book a free call and we'll discuss your project and quote you directly.
Discuss Pricing on a Call →QUESTIONS
Most projects run 2–6 weeks depending on scope — chatbots and simple automations on the faster end, full RAG or SaaS builds on the longer end.
Yes — single-purpose agents or full multi-agent systems, wired into your existing tools and data.
Yes, ongoing maintenance and feature development plans are available after launch.
OpenAI, Anthropic Claude, Google Gemini, Groq, and self-hosted models via Ollama — routed to whichever fits the task and budget.
Use the estimator above for a rough range, or book a discovery call for an exact quote based on your requirements.
It's async-native and built specifically for the kind of I/O-heavy, AI-calling workloads we build — fast to develop in, fast to run, and it generates interactive API docs automatically.
Your documents stay in a vector database you control, access can be scoped per user/role, and every AI answer includes a source citation back to the original document — so nothing is a black box.
You do, fully. Every project ships with complete source code ownership — no licensing fees, no lock-in, no dependency on us to keep it running.
Yes — alongside AWS we also deploy to Netlify, Vercel, and Docker-based hosting, and pick whichever fits your budget and scale requirements.
Yes, happy to sign an NDA before any discovery call that involves sensitive business information.
WORKING WITH US
MULTIPLE WAYS TO WORK TOGETHER
Work with us through your preferred platform — direct is best, but we're also reachable elsewhere.
GET IN TOUCH
Tell us about your project and we'll get back within 24 hours.
We've received your inquiry. Our team will respond within 24 hours.
LangGraph
LangChain
MCP
Python
FastAPI
Flask
JWT
Pydantic
React
HTML
CSS
JavaScript
PostgreSQL
MySQL
SQLite
Qdrant
Docker
Git
GitHub
Linux