- AI SaaS
- Next.js
- OpenAI
Quikest
An AI research platform built from an empty repository to a working product over a seven-month engagement.
- 215
- Hours delivered
- 5.0
- Client rating
Engineering-first AI studio · Islamabad
AI and automation, built into the software you already run.
We add one production-ready AI feature to your existing web product in two to three weeks. Semantic search, document extraction, or an assistant that actually ships. No replatforming, no twelve-week discovery phase.
- 5.0 average on Upwork
- 6 yrsProduction engineering
- 100%Job Success Score
- 215 hrsLargest AI SaaS build, rated 5.0
6 yrs production engineering · 100% Job Success on Upwork · Fixed price from $2,500
Verified numbers
- Production engineering
- 6 yrsProduction engineeringCV and LinkedIn
- Job Success Score
- 100%Job Success Scoreupwork.com profile
- Largest AI SaaS build, rated 5.0
- 215 hrsLargest AI SaaS build, rated 5.0upwork.com contract
- Apps live on both app stores
- 2Apps live on both app storesApp Store and Play Store
What we build
Six engagements. Each ends in something you can measure.
We are not a consultancy and we do not sell strategy decks. Every engagement produces working software in your repository.
- 01
AI feature drop-in
Semantic search, document extraction, classification or an assistant, built into the product you already have. Your stack, your repo, your deploy pipeline.
Outcome one shipped feature in 2 to 3 weeks, not a proof of concept - 02
Workflow automation
The multi-step manual process your team runs by hand every week, collapsed into one trigger. Built on the tools you already pay for.
Outcome a weekly manual job reduced to one trigger you can watch run - 03
Web product engineering
Next.js and .NET builds for teams who need senior hands without a senior hire. Feature work, rescue work, or the backlog item nobody has touched in a year.
Outcome a shipping cadence you can plan around - 04
Mobile apps
Cross-platform iOS and Android from one codebase. Store submission, review handling and post-launch fixes included, because a rejected build helps nobody.
Outcome live on both stores, not sat in review - 05
MVP for founders
The smallest version of your idea that a real user can pay for. We cut scope hard and tell you which half to build second.
Outcome a first version real users can try, with the second half named - 06
Cloud cost and performance
Azure and cloud bills that grew faster than the product did. Throttling, runaway spend, and the reporting layer that times out.
Outcome a lower monthly bill with the working shown
The part nobody else puts on their website
We will tell you when AI is not the fix.
A good share of the AI work people ask us to quote should not be built. We say so on the first call, before anyone has signed anything. It costs us projects. It is also why clients come back with the next one.
- 01If a lookup table answers the question, we will not sell you a language model that costs money on every request.
- 02If your data is not clean enough, the model will be confidently wrong. We will tell you what it would take to fix the data first.
- 03If an off-the-shelf tool does most of it for a small monthly fee, we will name the tool and send you the link.
- 04If the real problem is a process nobody owns, no software fixes that. We will say so.
How it runs
From first call to shipped, without a discovery phase.
Every step carries the duration we quote on calls, not an aspirational one.
- STEP 01
Scoping call
Thirty minutes. You describe the problem, we tell you whether it is worth building and roughly what it costs. No deck.
30 min · free - STEP 02
Fixed scope and price
One page: what ships, what does not, the price, and the date. You approve it or you do not. Nothing starts on a maybe.
2 working days - STEP 03
Build in your repo
We work on a branch in your repository with a demo link you can open any day. No black box, no weekly status call.
2 to 3 weeks - STEP 04
Ship and hand over
Merged, documented, and your team walked through it on a recorded call. Fixes included afterwards.
1 week, then support
Selected work
Builds, with the numbers they actually produced.
Full write-ups include what we got wrong and what we would do differently. Prospects tell us they read that part first.
- Document AI
- Retrieval
- Next.js
DocAI
A document analysis product for a Swiss AI consultancy. Upload a tender or contract, ask the questions that matter, and get answers with source references back into the original text.
AI Spaces
- 10x
- Faster tender analysis
- 85%
- Fewer human errors
- Automation
- Scraping
- WordPress
One URL in, a finished property listing out
A Dubai real-estate agency was building off-plan listings by hand, three to five a day. We automated the whole thing behind a single pasted link, and they now publish at least 100 a day.
Read the write-up
What clients say
Every review here is public. Each links to where.
Quoted word for word from the live Upwork profile, including the lowercase and the typos.
Furqan is an excellent developer. He's passionate and dedicated, and any time we didn't know the answer to a problem, Furqan would do his research and come back with a thoughtful and strategic recommendation to help get us unblocked. He's a strong developer with lots of potential to grow.
Full-stack Engineer for an AI SaaS Application using Vercel, Next.js, Vercel AI, OpenAI API and React5.0 · 215 hours30 November 2024Read it at the source ↗ Furqan is a top-tier Azure engineer. He jumped into our stack and immediately resolved our Cosmos DB throttling (429 errors) and RU spikes on our reporting layer. Beyond the quick performance wins and cost reduction, he delivered a clean, forward-thinking re-architecture plan. Fast, highly proficient with modern AI tools, and exceptional at problem-solving. Will definitely work with him long-term!
Senior Azure Engineer, Cosmos DB throttling and runaway costs5.01 August 2026Read it at the source ↗ Working with furqan was a fantastic experience. Exceptional communication, deep technical expertise, and delivered high-quality results well ahead of schedule. Highly reliable engineer. I will definitely be working with him again on future projects.
Full-Stack Web Application Development5.01 August 2026Read it at the source ↗
We link out rather than ask you to take our word for it. Read every review on the public profile.
Stack
What we build in.
Highlighted items are where we lead. The rest we have shipped to production at least once.
- Next.js
- TypeScript
- OpenAI API
- Vercel AI SDK
- .NET
- React
- Node.js
- Python
- PostgreSQL
- Azure
- Cosmos DB
- React Native
- Flutter
- Vector search
- Docker
Straight answers
The questions people actually ask.
Including the ones most agencies bury. If yours is not here, ask it on the call and we will add it.
Ask us directlyWhat does it cost?
Most AI feature engagements are $2,500 to $4,000 fixed for two to three weeks. A one-week entry scope is $1,200 to $2,000. Hourly work is $40 an hour under 30 hours a week. We quote before you commit and the price does not move unless the scope does.
Who actually writes the code?
The engineer who scoped your project. You are not handed to a junior after signing.
Can you work in our existing codebase?
Yes, that is the normal case. We work on a branch in your repository, follow your conventions, and open a pull request your team reviews.
Where are you based, and does the time zone work?
We are based in Islamabad, Pakistan. We keep working hours that cover both London and US Eastern time zones, and we confirm the exact call times with you during scoping so they fit your calendar.
Start here
Tell us what is eating your team’s time.
Thirty minutes, no deck, no obligation. You leave the call knowing whether the thing is worth building and roughly what it costs, whether or not you hire us.
Reply within one business day · info@aistormlabs.com