Dedicated engineer · for startups

Someone senior to own the backend and the AI.

A dedicated senior engineer who works inside your team, in your tools and on US hours. Available on request.

Book a free 30-minute call

Working in 21 days from access, or your build fee back. Half paid only when it works. Full terms

The problem

When you need more than a single build.

We need someone senior to own the backend and the AI.
Hiring a senior engineer takes months you don't have.
The AI needs someone watching it every week, not once at launch.

Dedicated senior engineer

What you get.

Senior, and accountable

Someone who owns the backend and the AI, not a pair of hands waiting for tickets.

Inside your team

Your chat, your standups, your repository and your review process.

US hours

Questions answered the same day, by the person doing the work.

Same ownership rules

Every account, key and line of code stays yours, and access is removed when the work ends.

Timeline

How it starts.

Free call
We talk through what needs owning and whether we're the right fit.
Scoping
We agree what the engineer owns and how you'll judge the work.
First week
Access, a walkthrough of your codebase, and a plan for the first month.
Every week
Work shipped in your repository and reviewed by your team.

Our promise

You own every account and every line of code from day one, and our access is removed when the work ends.

Read the full terms

Fit

Who it's for, and who it isn't.

A good fit

Funded or already making money, with a budget for building
An AI feature, AI product or full-stack app to build or finish
A team too small or too stretched to ship it on time

Not a fit

Solo founders without a budget for the build
AI that decides who gets hired, a loan, housing or insurance
Automated texts or calls to consumers

Startups

AI features we buildfor startups.

Each one is built in production code, with the parts that keep it working once real users arrive.

Support answer assistant
Next.jsPostgrespgvectorClaude APIIntercom
1Ticket arrivesFrom Intercom or the in-app help form.
2Sorted by topicThe model tags topic and urgency, and urgent ones jump the queue.
3Docs searchedOnly your help articles and past answers are searched for the facts.
4Reply draftedA draft that links the sources it used, or says it doesn't know.
5Agent sends itEdits are saved and become test cases for the next release.
AI app · Customer support
100%Answers sourced
Support answers from your own docs, or an honest "I don't know".
Tickets are sorted by topic and urgency, answered from your own help articles with the sources linked, and sent by a support agent who can edit the draft.
How the support answer assistant works
Document extraction feature
ReactNode.jsS3GeminiZod
1File uploadedPDFs, scans or photos, stored privately against the user's account.
2Fields readThe model pulls out dates, names, totals and terms into a fixed format.
3Checked in codeEvery field is validated, so a wrong date or total can't get through.
4Unsure fields flaggedAnything the model isn't sure of is highlighted for the user to confirm.
5Saved to the appClean records the rest of the product can search and report on.
AI app · Document processing
EveryField validated
Upload a contract, get clean data back.
Users upload PDFs, scans or photos. The AI pulls out the dates, names, totals and terms into a fixed format, and anything it isn't sure of is highlighted for the user to confirm.
How the document extraction feature works
In-app data assistant
Next.jsPostgresOpenAI APIRedisPostHog
1User asksA plain-English question inside the product.
2Permissions checkedOnly records that user is allowed to see are ever searched.
3Answer builtThe reply links to the records it came from, so users can check it.
4Costs cappedPer-user limits and caching keep the AI bill predictable.
5Usage trackedWhich answers helped and which didn't, to guide the next change.
AI app · In-product assistant
EverySearch permission-checked
Answers from each user's own data, and nobody else's.
Users ask questions in plain English inside the product. Answers come only from records they're allowed to see, with links back to each one and a cap on AI costs.
How the in-app data assistant works

All startup case studies

The team

Who you'll work with.

Senior people scope, build and look after every project. The people you meet on the first call are the people who answer when something needs fixing.

Muhammad Furqan Abid

Founder

Leads engineering on every build: the scope, the architecture, and how the AI parts behave once real people use them. Six years building software.

Muhammad Zaid Ashfaq

Managing Director

Runs delivery and care. He keeps each build on its 21 days, and he's the person you talk to when something needs a decision, during the build and after it.

How we handle your accounts and data

FAQ

Dedicated senior engineer, answered plainly.

See every question

Yes. A dedicated senior engineer is available on request, to own the backend and the AI inside your team, on US hours. We agree exactly what they own in a scoping session first.

US hours. We're a senior-led team, and the people who build your system are the people you talk to.

Yes. We build in your repository, in production code your own engineers can read and take over. If you don't have a codebase yet, we set one up that you own.

We sign an NDA before we see anything. We work in your accounts with access you give us, and that access is removed when the work ends. Our security page has the details.

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