I'm Qamar. I build Gravixar, an AI-ops platform whose modules run your operations with a human on every approval. You see it running before you buy it.
How I work
The platform's modules run the same pattern everywhere: AI does the work, a human approves anything that writes, spends, or ships. When a team needs it shaped to them, I take that on as a high-touch build, one at a time, no agency layer between you and the person doing the work. That's me.
The systems I build for clients run in production. I usually run a version myself before recommending it. There are five scenes at demo.gravixar.com, each a purpose-built playground with sample data, no sign-in, nothing to install. It's a separate build from any client's system, on purpose. Pick the one closest to your work, run the loop yourself, and decide if the workflow makes sense before we talk pricing.
I prefer iterative engagements. Week one you have something running, even if small. Week ten you have something that's been used in real conditions and rounded off where the corners caught. I don't disappear into a four-month build cycle and surface with a "v1" you've never seen.
Four client engagements run live at the same time right now, and that only holds together because the layer behind them is itself a system. The operations stack I work from carries 24 registered modules, 13 of them reused across more than one product, 17 jobs on a schedule, and 23 governance checks that run daily and tell me when something has drifted. In July 2026 it moved 378 commits, 158 merged pull requests, and 68 guarded automated operations.
When AI is part of the system, it drafts and suggests; the human approves. The SEO agent on this site doesn't auto-publish. The market scan hands me a ranked brief and waits; no signal on it acts by itself. That pattern, AI handles the boring 80% and the human keeps the steering wheel, is what I sell.
What I'm working on
- An agency portal for a digital agency, live in production. 84 data models and 255 endpoints behind a 12-state delivery funnel, an AI intake step, and 9 scheduled jobs. A new client goes from inquiry to an active project in about 10 minutes, where the email version of that took two to three days.
- A healthcare ops platform, live on its own domain since June 2026. 250 clients, 2,042 credentialing panels, 13,702 timeline events on the record. It answers what nobody there could answer before: 125 panels waiting on the desk against 1,560 waiting on payers, 147 carve-out gaps, and a follow-up queue that went from nothing to 60 due per day. Payer-directory coverage of active panels moved from 34% to 66%, and exclusion screening runs against the real OIG list, all 83,665 rows of it.
- This site. Small in scope, and still real proof: 3 jobs on a schedule (an SEO drafter twice a week, a market scan on the 1st and 15th, a daily push to Google's job index), lead capture wired into the same system I run my own operations from, and the five live demo scenes it points at. None of the three publish anything on their own.
- The hosted platform. The same productized modules, rented by the month instead of commissioned as a build. It does not exist yet and I am not printing a date for it. Join the list.
Background
I started managing operations in 2009 and have been doing it in some form ever since: HubSpot, Monday, ClickUp, Zoho, and most of the rest of the suite over the years, on teams that were on-site, remote, and everything in between. These days I also head operations for an Islamabad-based creative agency on top of my own work, so the patterns I sell aren't things I've read about. They're things I run.
I've watched enough teams stitch Notion + Sheets + a Slack channel into something that almost works to know that "almost" is where most of the cost lives. The gap between that and a real system is where I tend to be useful.
A few things I'm not
- Not a CRM developer, though I've built portals with CRM-shaped pieces in them.
- Not a vendor who'll tell you AI is the answer to a problem AI is bad at.
- Not a black-box. Every system I ship comes with the audit trail, the source, and the decisions written down: 493 decision entries and 71 infrastructure entries so far, append-only, so nothing gets quietly rewritten after the fact.
Outside this
Islamabad-based, originally from Jabri, a small village in the mountains where I take my four boys when I can. They're all homeschooled, so a fair bit of my non-work time goes into STEM with them. Some of that became Robonamix, a robotics and STEM project for kids that I am picking back up. The rest of the time, mostly hiking.