Market Infrastructure
Live feeds, historical depth, and the pipelines that keep both current.
Trading, research, and wealth technology for Pakistan's capital markets.
Institutional-grade tooling, now within reach of fund managers, advisors, family offices, and serious investors. We build these systems, and we keep them running.
Local market data is not clean. Filings vary by company, corporate actions rewrite history, and reporting formats shift over time. We have spent years working with exactly this data.
Live feeds, historical depth, and the pipelines that keep both current.
Filings, statements, and market history turned into data you can screen and compare.
Scanners, signals, and the tooling that sits between a strategy and a decision.
Holdings, cost basis, performance attribution, and reporting across multiple books.
Your rules encoded, run on schedule, delivered where you make decisions.
Client portals, internal systems, and connecting what you already run.
Most of what we build starts as a problem that fits none of these cleanly.
Describe yours->Nobody has gone deeper into this market's data. We built the system that proves it.

A production analytics platform for the Pakistan Stock Exchange, built and operated end to end. Live market data, two decades of financial statements across the full listed market, screening on more than 180 metrics, portfolio tracking, and institutional flow analysis.
The same infrastructure sits behind the private tools we build for clients.
Most of our work is private by request. These are the ones we can describe.
He was checking the same entry rules by hand every evening. We encoded them, ran them across the full market, and delivered a ranked daily list that lands before the open. Built in two weeks, running for over a year, extended twice since at his request.
Holdings spread across several accounts, reconciled into a single view with cost basis, realised and unrealised positions, and dividend history. Paired with a backtesting environment for evaluating allocation strategies against two decades of market data before committing capital.
Multi-condition rules evaluated continuously against the live market: price and volume thresholds, technical crossovers, and corporate announcements. Alerts reach the advisor within seconds of the condition being met, so client positions are reviewed while it still matters.
Engagements are led directly by the people below, and scaled to whatever the work requires.

Engineering Lead
Built PSX Terminal end to end, from market data ingestion to interface. Leads architecture and engineering on real-time systems and the market data behind them.

Data & Delivery Lead
Twelve years in data analytics and governance across banking and financial services. Leads warehouse architecture, data governance, and delivery on larger programmes.
Describe the problem. We will come back with a plan.