Quantitative Finance & HFT
Models, signals, execution and low-latency infrastructure for trading desks, asset managers and brokers.
Two practices, one delivery model. Each one starts from your landscape as it actually is, not from a reference architecture.
Platforms we built because the engagements kept needing them. Each one is in production with clients today.
Research, backtesting, execution and risk for algorithmic, quantitative and high-frequency trading — one platform from signal to fill.
Optimize your international trade operations with an automated solution that streamlines export/import documentation, trade finance processes, and license/incentive management.
A customer success platform that brings onboarding, adoption, health, renewal and expansion into one view of the account, so the team that keeps customers is working from the same facts as the team that grows them.
The consultants on your engagement have worked your industry's processes before they worked your system.
Most AI programmes stall between the pilot and production. Our framework treats that gap as the real work, so the thing you demo in week six is the thing that runs in month six.
See the frameworkA readiness assessment run on your live data establishes where value is concentrated and what your landscape can support today. Days, not months.
A pre-validated agent goes live against a single line of business, measured against a baseline agreed up front.
Agents move across functions under a governed reference architecture, monitored for drift and for outcome.
Each function that goes live shortens the next. The platform investment is made once.
Recovery was reported monthly against a standard assumption, so nobody could say which line, shift or log lot was losing the veneer.
European buyers began asking for timber provenance the exporter held, but only across four systems and a filing cabinet.
Showroom quotations were priced from a spreadsheet mark-up, then met a factory that had never agreed to the date.
Written by the people doing the work, about the parts that are genuinely hard.
Desks argue about which execution algorithm to use and settle the benchmark in a sentence. The benchmark is the more consequential decision.
Plywood and MDF plants argue about yield with numbers that arrive three weeks late and describe an average nobody operates at.
Research culture rewards finding predictive signals. Returns are decided afterwards, in sizing, correlation and turnover — the part that gets the least attention.
Bring us your landscape and the problem you actually have. We will come back with a business case, a roadmap, and an honest estimate of cost and timeline.