Teqprotech · From concept to creation

Your idea. Our stack. Shipped.

Messy idea. Complicated workflow. Weird integration. Bring it. We build Laravel apps, GoHighLevel systems, AI agents that ask before they act, and the integrations between them.

Finalist — USAII Global AI Hackathon 2026
Since2021 · Remote
202611 hackathon entries
Teqprotech mascot: a cat wearing game-controller sunglasses
What can we build?

Start with the problem. We’ll figure out the stack.

Pick the one that sounds like your week.

“My leads fall through the cracks.”

One inbox for every lead, and follow-up that never forgets.

We pull every source (site forms, Facebook lead ads, Zapier and API feeds) into one GoHighLevel contact record, then let workflows tag, route and follow up while Conversation AI answers and books. You get a pipeline that moves on its own, and a phone that pings when a real appointment lands.

Where this comes from: day-to-day GoHighLevel production work (Conversation AI bots that book appointments and notify the owner by app, SMS and email).

“I need an AI agent that asks before it acts.”

Agents that reason, tools that decide, humans that approve.

The model drafts and reasons. Deterministic tools own anything that touches money, stock or dates. A human approval checkpoint sits in front of every consequential action, with an evidence trail you can read afterwards.

Built in the open: QuotePilot AI (mandatory approval before a quote goes out), ScopeGuard AI and NeighborOps AI.

“Two systems won’t talk to each other.”

We make them talk, and we log every word.

REST APIs, webhooks, Zapier or n8n: whatever is sturdiest for your stack. We map the fields, decide which system owns the truth, handle retries and duplicates, and leave a log you can debug from.

Tools we’ve wired together in production: GoHighLevel, Zapier, JobNimbus and HailTrace; in builds: Twilio, Alpaca, Amazon Bedrock and Qwen.

“I need a real web app, not a template.”

Laravel and Next.js apps with real data models.

Auth, roles, dashboards, CRMs, portals, background jobs and a deploy pipeline with backups. We have built CRMs on Laravel since 2020 and still ship production PHP today.

Live example: The Gadget Index, a PHP 8.4 + MariaDB site with a GitHub Actions → cPanel deploy, backups and cron.

“Our emails land in spam.”

Authenticate the domain, then earn the inbox.

SPF, DKIM and DMARC set up correctly, sending domains separated from your main one, and Postmaster data watched so you catch reputation problems before your customers do.

Where this comes from: deliverability ownership (Postmaster, DMARC, DKIM) in a production GoHighLevel role.

“Missed calls are missed bookings.”

Voice and chat AI that picks up and books.

Conversation AI on your site and inbox, and voice intake on the phone line. It qualifies, books into a real calendar and hands off to a human with context when it should.

Built: KhidmatConnect AI (Twilio → Retell voice intake, Urdu-first) and GoHighLevel Conversation AI booking bots.

Services

Four groups. One stack that fits together.

Every service below maps to shipped work or a role we hold today. If it isn’t proven, it’s listed as “on request”, not dressed up as a specialty.

01Development

Apps and sites with a real data model underneath.

02Automation

CRMs and workflows that move leads without a nudge.

Email Deliverability (SPF/DKIM/DMARC)

SPF, DKIM and DMARC set up and aligned, a sending-domain strategy that protects your main domain, careful warm-up, and Postmaster data watched so a re...

  • SPF, DKIM, DMARC aligned
  • Sending domain strategy
  • Postmaster monitoring

03AI

Useful AI, with a human where it matters.

04Integrations

The glue. Usually the hard part.

Selected work

Client work stays private. The patterns don’t.

Client case studies are anonymous and sanitised: industry, problem and approach, never names, screenshots or data. Our own products and hackathon builds are public, with the code.

Hackathon · solo
Hackathon · lablab.ai · Sep 2026

LockSmith (case study on talalkhawaja.com)

A deploy gate for PostgreSQL migrations: it flags lock-taking statements, proves the locks in embedded Postgres, estimates blocking time, and has IBM Bob rewrite them for zero downtime.

Next.jsReactTypeScriptTailwind CSS
Case study on talalkhawaja.com
Hackathon
Hackathon · lablab.ai · Sep 2026

ThesisCircuit (case study on talalkhawaja.com)

Paper-only options research agents: three strategies compete, a critic objects, and a fail-closed risk governor has the final say. NO TRADE is a first-class, audited result.

PythonFastAPIalpaca-pyNext.js
Case study on talalkhawaja.com
Finalist — USAII Global AI Hackathon 2026
Hackathon · Devpost · Jun 2026

CivicAI Readiness Blueprint (case study on talalkhawaja.com)

Decision support for community AI readiness: transparent local scoring, gaps, scenario comparison, a three-phase responsible-AI roadmap, and an optional AI policy insight.

Next.jsTypeScriptOpenAI APIRecharts
Case study on talalkhawaja.com

Hackathon case studies live on talalkhawaja.com, our founder’s site: one canonical write-up per project. All work →

Describe the problem

Tell us what’s broken. Skip the pitch deck.

A few sentences is plenty. We reply with questions, a suggested stack and the smallest useful first step.

  • Read by a builder, not a sales script
  • We’ll say so if you don’t need us
  • No NDAs needed to describe a problem

Prefer email? info@teqprotech.com

Plain words are best. Mention the tools you already use.

Goes straight to info@teqprotech.com. No mailing lists.
How we work

Four steps. No mystery phase.

Built to scale, not to impress. Every step ends with something you can see.

  1. Step 1: Map the mess

    A call and a look inside your tools. We write down how work actually flows today, including the workarounds nobody admits to.

    Out: a one-page system map

  2. Step 2: Design the system

    Which tool owns which data, what gets automated, where a human approves. Smallest useful version first.

    Out: scope, stack, first milestone

  3. Step 3: Build in the open

    Short cycles you can click through. Logs and audit trails from day one, so debugging is reading, not guessing.

    Out: working software, weekly

  4. Step 4: Hand over and harden

    Training for your team, docs in plain language, monitoring on the parts that matter. Then we stay on call.

    Out: a system nobody has to babysit

Technologies

The stack, with receipts.

Each one is backed by a shipped project or a role we hold. Filled dot: several shipped projects. Ring: at least one.

  • Laravel (several shipped projects)
  • PHP (several shipped projects)
  • WordPress (several shipped projects)
  • MySQL (several shipped projects)
  • JavaScript (several shipped projects)
  • TypeScript (several shipped projects)
  • Next.js (several shipped projects)
  • React (several shipped projects)
  • Tailwind CSS (several shipped projects)
  • Python (several shipped projects)
  • FastAPI (several shipped projects)
  • GoHighLevel (several shipped projects)
  • OpenAI API (several shipped projects)
  • Vercel (several shipped projects)
  • REST APIs (several shipped projects)
  • Webhooks (several shipped projects)
  • AI agents (several shipped projects)
  • WooCommerce (at least one project)
  • CodeIgniter (at least one project)
  • Web scraping (Selenium) (at least one project)
  • Flutter (at least one project)
  • Dart (at least one project)
  • Zapier (at least one project)
  • n8n (at least one project)
  • JobNimbus (at least one project)
  • Twilio (at least one project)
  • Qwen (at least one project)
  • Amazon Bedrock (at least one project)
  • CockroachDB (at least one project)
  • PostgreSQL (at least one project)
  • Docker (at least one project)
  • GitHub Actions (at least one project)
  • DevOps & deployment (at least one project)
  • Voice AI (at least one project)
Several shipped projectsAt least one project
AI + automation

AI that asks before it acts.

The model is great at reading, drafting and reasoning. It is not your accountant. So we split the job. It’s how our 2026 hackathon agents were built, and how we build yours.

Humans approve

Every consequential action (a quote, a message, a spend) waits at an approval checkpoint.

Seen in: QuotePilot AI · NeighborOps AI

Tools decide numbers

Pricing, availability and risk limits come from deterministic code, not from a model’s mood.

Seen in: QuotePilot AI · ThesisCircuit

Evidence, always

Each run leaves a trail: what it read, what it proposed, who said yes. Debugging is reading, not guessing.

Seen in: ScopeGuard AI · ClientOps Memory AI

The Lab

We ship on deadlines for fun.

Hackathons are where we test ideas fast, as team “teqprotech”. Summaries here; each full case study (code, video, team credits) lives on our founder’s site.

Finalist — USAII Global AI Hackathon 2026

CivicAI Readiness Blueprint (case study on talalkhawaja.com)

Decision support for community AI readiness: transparent local scoring, gaps, scenario comparison, a three-phase responsible-AI roadmap, and an optional AI policy insight.

Team: Aqeela Urooj, Talal Khawaja · Devpost · June 2026

11hackathon entries in 2026From our published records
#12lablab.ai leaderboard (founder profile)Snapshot 2026-09-27
Summaries only. Code, demo videos and full team credits live on each case study.
Team

Small team. Direct line to the builders.

Portrait of Talal Khawaja

Talal Khawaja

Founder

Teqprotech

I'm Talal Khawaja, a full-stack developer in Karachi. I lead production and GoHighLevel automation for a US organisation, founded Teqprotech, and build AI systems that keep a person in charge of the decisions that matter.

Credited on 9 projects shown here.

Insights

Field notes, not thought leadership.

Insights coming soon

We’re writing up what we learn in production.

Debugging notes, build write-ups and how-to-buy guides. Until they’re published, the GoHighLevel service page carries a short field note on debugging with Audit Logs.

Read the field note
Start a project

Your idea doesn’t need another meeting. It needs a system.

Messy idea, complicated workflow, weird integration. Bring it.