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Case Studies

Real problems,
real outcomes

A look at what we've actually shipped — SaaS platforms and AI systems that solve a concrete problem and keep running, from an AI that queries any database in plain English to multi-marketplace automation.

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Integrations200data systems unified into one source of truth — DMS, CRM, F&I, service & more.See how →
Time to live60deploys with no in-house engineering team — value in weeks, not quarters.Start yours →
Channels3marketplaces synced in real time — oversells eliminated, hours saved daily.See how →
Trusted by founders & sellers worldwide — across automotive, e-commerce, media & retail
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QoreAI · QoreCloud
AI · Data Platform · Automotive

QoreCloud — unified dealership data you can ask in plain English

  • 200+ systems unified
  • ~60-day deploy
  • No SQL needed

Problem: a dealership's data is scattered across 20+ vendor tools — DMS, CRM, F&I, service, inventory and marketing — that don't talk to each other, so teams burn hours manually stitching together reports instead of selling and serving. Solution: QoreCloud, a unified data layer that ingests from 200+ automotive systems into one source of truth, with an "Ask Anything" natural-language layer — managers type a plain-English question and get the answer in seconds, no SQL, no custom dashboards.

Outcome: dealers self-serve insights in seconds with full P&L visibility and anomaly alerts, deploy in around 60 days with no engineering team, and keep complete ownership of their data — no vendor lock-in.

Tech: AI natural-language querying, 200+ DMS/CRM/F&I/service/marketing integrations, cloud data platform.

Visit qoreai.com → Build something like this →
Ask-Your-Database AI
AI · Data

Natural-Language Database Assistant

  • Any SQL database
  • Plain English → SQL
  • Read-only & safe

Problem: getting answers out of a database meant waiting on an analyst or knowing SQL — non-technical teams couldn't self-serve, and simple questions turned into ticket queues. Solution: an AI system that connects to any database and lets anyone ask questions in plain English; it reads the schema, generates the right query, runs it safely and returns the answer.

Outcome: anyone can query company data in plain language — no SQL, no waiting — so decisions happen faster and engineering and analytics teams are freed from one-off report requests.

Tech: LLMs, schema-aware text-to-SQL, read-only safeguards, works across SQL databases.

Build something like this →
RAG Assistant
AI / RAG

Knowledge Assistant (RAG)

  • Answers with citations
  • Fewer repeat tickets
  • Grounded in your docs

Problem: a support team kept answering the same questions over and over. Solution: a RAG assistant over the company's own docs that returns answers with citations back to the source.

Outcome: faster replies and fewer repetitive tickets, with answers grounded in trusted content.

Tech: LLMs, vector search.

Build something like this →
Order & Inventory
SaaS · Marketplace

Order & Inventory System

  • Amazon · Flipkart · Meesho
  • Real-time stock sync
  • Oversells eliminated

Problem: a seller managing stock by hand across Amazon, Flipkart and Meesho kept oversetting expectations — oversells and manual errors crept in. Solution: a real-time, multi-marketplace order & inventory platform that syncs stock across every channel.

Outcome: stock stays in sync, oversells were largely eliminated and hours of manual reconciliation are saved every day.

Tech: Node, React, marketplace APIs.

Build something like this →
Website Builder
SaaS · Product

Website Builder Application

  • Multi-tenant
  • Drag-and-drop
  • One-click deploy

Problem: an agency needed to spin up client sites fast, without rebuilding the same foundation each time. Solution: a multi-tenant drag-and-drop builder with one-click deploy.

Outcome: new client sites launched in a fraction of the previous time, freeing the team to focus on design and content.

Tech: Multi-tenant SaaS, React.

Build something like this →
In their words

What it's like to work with us

The results above came from partnerships like these — here's what founders say.

"They took us from a rough idea to a live, paying SaaS in months — and we never once felt out of the loop. It's rare to find a team this senior that actually ships."

Founder & CEO
Early-stage SaaS startup

"The marketplace automation paid for itself almost immediately — overselling stopped and my team got hours back every day. They understood the business, not just the code."

Director of Operations
Multi-marketplace seller

"Their AI assistant lets anyone on the team get answers from our data in plain English. It went from a demo to something we genuinely rely on in production."

Head of Product
Data platform company

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