Patient data systems, compliance reporting, and workflow automation for regulated environments.
Real-time tracking, route optimization, and inventory visibility across your distribution network.
Scale your product infrastructure, integrate third-party tools, and ship features faster with reliable ops.
Secure transaction processing, regulatory reporting, and customer-facing portals for financial services.
QIS is QServices’ always-on AI sales engine. It monitors Upwork around the clock, scores every job that fits, and writes a personalised proposal — before competitors finish reading the brief.
120 hrs/week uptime
Built and run by QServices
0 human hours required
Powered by the same engineering practice trusted by
Before QIS, sourcing leads on Upwork meant hours of browsing, reading, and
writing-with the best opportunities slipping past while a teammate was at
lunch.
Hundreds of jobs posted daily. Reading and triaging each one takes hours that nobody has.
Generic templates get filtered out. A personalised cover letter takes 20 minutes. Math doesn’t work.
Tracking what’s been bid on, what’s pending, what converted — across spreadsheets and inboxes — falls apart fast.
reviewed by a human
evaluated by QIS-0 human hours
A new job appears on Upwork. Within minutes, QIS has read it, scored it, written
a tailored proposal, and put it in front of the sales team – ready to submit.
An AI model reads the brief and scores it 1–10 against QServices' real capabilities — Azure, Power Platform, .NET, mobile, AI integration. Anything below threshold is silently skipped.
QIS writes a cover letter in the voice of a QServices developer. It cites a matching case study, answers every screening question, and even catches "secret words" clients hide to test attention.
Hi — saw your post about migrating .NET to Azure. We shipped a similar workload for Loan Cirrus last quarter — Hyperscale SQL, full audit trail, FDIC-ready.
On your 10K concurrent users question: App Gateway + autoscale on CPU and queue depth, Redis for session.
A full proposal document (Word) is generated, attached, and pushed into the QLS dashboard. The sales team reviews, tweaks if needed, and submits — usually within minutes of the job going live.
QLS (QServices Lead System) is the dashboard where the team reviews
everything QIS produces. Score breakdown, generated letter, client history, and
submission status – without leaving the page.
A new job appears on Upwork. Within minutes, QIS has read it, scored it, written
a tailored proposal, and put it in front of the sales team – ready to submit.
| Capability | Human Team | QIS |
|---|---|---|
| Coverage hours / week | × ~40 hrs | ✓ 120 hrs (Mon–Sat) |
| Jobs reviewed daily | × ~20 | ✓ ~280 |
| Time to first proposal | × 2–8 hours | ✓ Under 5 minutes |
| Cover letter personalisation | × Template + edits | ✓ Per-job, with case study match |
| Screening question handling | × Manual, often missed | ✓ Auto-detected and answered |
| Pipeline visibility | × Spreadsheets | ✓ Live dashboard (QLS) |
| Cost per qualified lead | × $$$ (analyst time) | ✓ $ (compute + review) |
Today, QIS runs exclusively for QServices’ own pipeline. It’s the engine behind how we win Upwork work — not a shrink-wrapped SaaS. If you’re interested in a similar system built for your sales channel, that’s exactly the kind of bespoke engagement our team takes on. Book a call to talk it through.
An LLM reads the full brief and weighs four signals: stack match against QServices’ core capabilities, budget realism, project clarity, and client signal (history, payment verified, hire rate). Each gets a sub-score; the final number is a weighted average. Anything under 6 is filed away; 7+ goes to drafting.
Yes. Every letter references the specific job, picks a matching case study from QServices’ real portfolio, answers each screening question by name, and adopts the appropriate tone (technical for engineering managers, outcome-focused for ops leads). No two letters share more than ~15% of their content.
No catch. Since February 2026, QIS has evaluated 20,352 jobs end-to-end. Of those, 5,315 cleared the qualification bar and got a full proposal. Every letter was AI-generated, every score was AI-computed, and zero humans were in the production loop — only on review and submission.
Yes. The proposal lands in QLS as a draft. A salesperson opens it, skims the score breakdown and letter, and either submits as-is, edits, or skips. Average review time is under 90 seconds. The ‘human in the loop’ is at the gate, not in the assembly line.
A dedicated Mac Mini in our office runs the QIS workers continuously. Detection, evaluation, and drafting run on a hybrid of GPT-class models and our own fine-tuned classifiers. The QLS dashboard is a Next.js app on Azure App Service. Total monthly run cost: less than one analyst’s hourly rate.
QIS is what happens when an engineering team turns its own sales process into a
product. We build the same kind of always-on, Al-augmented systems for clients
– book 15 minutes with an architect to talk through yours.
Founder and CEO
Chief Sales Officer
