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Deployments

Cursor generates $13 million per employee. It is a three years old startup. This is what happens when a company runs on self-improving agents instead of headcount.

Every company we work with is building toward that ratio. The goal is shifting people to compounding work while agents handle verifiable tasks.

A company is a collection of SOPs. Anything verifiable can be automated. We move your workflows from human-in-the-loop to agent-native, department by department.

LinkedIn Automation

Financial Services & Real Estate Firms

The Challenge

LinkedIn in the Gulf is undersaturated. A city like Dubai has roughly 3,000 relevant C-suite in a vertical. The challenge is prompting AI correctly so posts, comments, and messages match your style without feeling fake or spammy.

What We Deployed

Deployed an automated system synchronizing 10 employee accounts to post, comment, and engage with C-suite targets. The CEO reaches out to decision-makers directly after building feed presence.

Results

  • CEO followers grew from 2K to 10K in under 2 months
  • Company account followers grew 5x
  • Secured a deal from a UK MNC opening a Saudi branch
  • Built international relevancy at a fraction of Meta and Google ad costs
LinkedIn Automation

Quotation Pricing AI

General Contracting Firm

The Challenge

Needed accurate quotes fast. Pricing breakdowns relied entirely on the owner's undocumented intuition built across years of experience.

What We Deployed

Built a quotation agent to generate structured pricing and material breakdowns. Corrections are added to its context, allowing the accumulated memory to self-improve and match the owner's intuition.

Results

  • Owner now reviews quotes instead of building them
  • New hires generate owner-calibrated quotes on day one
  • System improves continuously with every exception
Quotation Pricing AI

Invoice Reconciliation Automation

Import/Export Trading Firm

The Challenge

Four full-time staff spent their week matching 800+ invoices against purchase orders and receipts, leading to payment delays and vendor friction.

What We Deployed

Built a reconciliation agent connected to their ERP. It runs OCR on incoming email attachments, matches them against POs and receipts, and surfaces only exceptions for human review.

Results

  • 85% of invoices processed without human involvement
  • Payment cycle reduced from 7 days to 2 days
  • Two employees redirected to higher-value tasks
Invoice Reconciliation Automation

What We Look For in a Client

We work best with leadership that has absolute conviction. We treat every company as if we are the shareholders looking to improve its health. Employees push internally for us once they see how much easier their day becomes.

The broader mission we are building toward is faster AI adoption across businesses. We aim to compress a five-year adoption curve into a single year. Higher adoption drives better models, faster self-improvement, and systems that will eventually solve clean energy, advanced material and bio research.

If this resonates, let’s talk.

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Anonymization Notice: Company names and specific metrics have been modified to protect client competitive advantage. All implementations completed in 2025-2026.