Most of our work starts as a problem, not a specification. Pick the one closest to yours and we'll show you what we've built for people in the same position.
Our quants test and improve the strategy against your own data. Our engineers build the order routing, portfolio automation and consolidated reporting around it.
Learn more →Portfolio optimisation and risk analysis. Allocation and rebalancing, hedging and exposure management, drawdown modelling, and reporting an allocator will accept: Sharpe, Sortino, information ratio, beta to benchmark, sector and geography weights.
Learn more →We stress-test your rules against your own data and tell you what we find, then encode them for multi-broker execution with one dashboard to deploy, monitor and intervene. Most clients keep us on afterwards for the analysis.
Learn more →Indicators, dashboards, data platforms, algo products and member workspaces, with access control, subscriptions and billing. Built from nothing, or rebuilt when the product already sells but under-earns.
Learn more →Quants and engineers in one team. Our quants establish whether the numbers hold up. Our engineers build what survives.
Free, with an engineer. If there is no defensible edge, or no viable product in it, we say so then.
Architecture, milestones and a fixed price, agreed before any build.
Milestone demos against your own data. Nothing touches clients or capital untested.
A documented codebase your own developers can maintain. Retainer optional. or we handle maintance with a fully dedicated team
Most firms build exactly what you specify, even when the specification is the problem. We are measured on the outcome: better risk-adjusted performance, or software people actually buy.
Every system is built once, for one client, around your rules and constraints. You own the code and the IP outright.
Two tests before anything gets built: does the strategy hold up against your data, and would anyone pay for the product. If either answer is no, we say so.
"We only build things that have a real data-backed probability edge."
Client systems and joint ventures we co-own. Each one solved a specific, live problem, these are selected examples.
Backtesting through optimisation to live deployment, with automation integrated into existing systems and consolidated reporting across brokers and venues.
Automated strategies on institutional-grade infrastructure, materially lower latency, and full visibility over live positions and performance.
"Variance are the best in the business. I would not consider looking elsewhere."
Visit korncapital.com → Read the case study →
An internal dashboard to design, backtest, deploy and monitor strategies across multiple US brokers, with intelligent order slicing and distributed execution.
A scalable system running at roughly 50ms with reduced slippage and full internal control over live strategies on substantial capital.
"Anyone looking for a properly built trading system can confidently trust the team end to end."
Read the case study →
Automated fifteen years of manually executed cycle rules, then built the entire product around them: TradingView indicator, macro dashboard, education library, community and billing.
We partnered with a professional trader who runs a YouTube channel and trades Hurst cycle theory. We automated the method, then built it out into a full platform: a TradingView cycle indicator, a live macro dashboard, a structured education library, community infrastructure and subscription billing. A company we co-own rather than a project we invoiced, now at 2,300+ paying members across monthly, annual and lifetime tiers.
Market research on X is buried under engagement bait, and there is no way to tell a consistently useful account from a loud one.
A Chrome extension for traders on X: filter the timeline down to one market, rate the accounts you follow on four dimensions, and keep every idea you save in one searchable library. Built and maintained by us, currently in beta.
Connected his live Interactive Brokers account to a desktop system that captures fills centrally and broadcasts signals automatically to his Telegram following.
The signal service scales with no added operational overhead, trades are captured and published without manual work.
"Very easy to work with. Great communication. Quick and high quality delivery."
Read the case study →Flagship engagements, the joint ventures we co-own, and a library of systems built to the letter of a written spec.
Three hundred clients across twenty countries. Here is what they say about working with us.
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Vivek, Ben and Karan lead every engagement personally. You deal with a principal, not an account manager. Behind them sits a team of quants and engineers across execution, data and product.
Vivek is the quant. He stress-tests strategies against real data, works out where performance actually comes from, and decides whether there is an edge worth building on.
Ben takes products to market. Scoping the MVP, shaping the brand and positioning, and working out whether anyone will actually pay for it before a line of code is written.
Karan builds the infrastructure. Execution, broker integrations and the architecture underneath, engineered to run unattended against live capital from day one.
Quants and engineers across three disciplines. Who works on your engagement depends on what it needs.
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A specialist will read it, not a sales team. Bring your rules, your current setup and your constraints, and we'll tell you what we'd build and roughly what it takes.
Quants and engineers building trading and investment systems, infrastructure and products.