Real AI results, real numbers.

A quant trading client wanted to explore hundreds of strategy ideas, but hand-coding, backtesting and debugging each one was slow and didn't scale — most ideas never got tested.

We built an end-to-end agentic backend that autonomously generates trading-strategy variants, backtests them, and fixes its own errors using a multi-provider LLM pipeline (Claude + others) with RAG over market context.

The system generated 200+ strategy variants autonomously and the client deployed 3 profitable strategies to production. Strategy ideation that took days now runs in minutes.

Auditing brand performance across channels was a manual, repetitive effort that consumed analyst time and didn't scale with the client's growing customer base.

We delivered the backend for an AI brand-performance platform integrating 5+ LLM APIs with automated evaluation pipelines that score and audit brand presence automatically.

Manual brand-auditing effort dropped by 90%, freeing the team to act on insights instead of spending days compiling them.

A 36-year-old school & college network of 20+ campuses across Faisalabad and Multan — serving 8,000+ students with 500+ staff — had no unified web presence. Prospective families had no single place to compare campuses, explore programs, or apply, and admissions inquiries were scattered across individual locations.

SaTekk designed and built a fast, responsive multi-campus website on Next.js and React (deployed on Vercel): a campus directory with individual profiles and contacts, program pages spanning all six academic levels (Early Years through FSc/ICS and O Level), leadership and CEO messaging, photo galleries, and a single online admissions application with campus and program selection that funnels inquiries from any campus into one place.

One branded home for the entire institution — every campus, program and the full admissions flow accessible online, with families able to apply from a single form instead of contacting campuses individually. Live at pjsc.edu.pk.