Real Work. Real Outcomes.

A fast-growing online retailer was manually writing product descriptions for every SKU — 40+ hours of writer time per week. We built a custom LLM pipeline trained on three years of their best-performing copy. Today, 500 descriptions are generated and auto-uploaded to Shopify at the push of a button. The writer was redeployed to brand strategy, and organic search traffic increased 34% within 90 days.

A regulated fintech startup had a $22k/month AWS bill with no clear visibility into where costs were going. We conducted a full infrastructure audit, identified idle resources, oversized instances, and inefficient data transfer patterns. After a 6-week optimisation sprint, monthly spend dropped to $13k with zero performance impact — and they now have dashboards to catch cost spikes before they escalate.

A SaaS company was spending 3 hours per day on support tickets that never required a human — password resets, billing questions, onboarding guidance. We trained a custom AI agent on their documentation and 18 months of resolved tickets. The agent now handles 60% of incoming queries autonomously, with a seamless handoff to the human team for complex cases. Customer satisfaction scores actually improved.

A digital media agency was manually producing 80 pieces of content per month across 12 client accounts. Briefing, writing, editing, scheduling — all done by hand. We engineered an end-to-end content pipeline that handles brief intake, AI-assisted drafts, brand voice checking, and CMS publishing. Output tripled to 240 pieces per month with the same team, and client retention improved as a result.