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Our Businesses / 01 Research Laboratories
Where our investment technology is developed and proven.
Our applied quantitative finance and AI research laboratories — dedicated facilities where our scientists and engineers conduct experiments, test new ideas, and push the boundaries developing advanced investment research and decision-making technology.
STEP 01HypothesisHundreds of ideas proposedSTEP 02ExperimentTested across decades of marketsSTEP 03Robust across regimesSurvives costs and taxNo look-ahead biasExplainable reasoningWithin risk limitsReviewChallenged by independent,institutional investment expertsSTEP 04DeploymentOnly the proven go liveIDEAS REMAINING
What We Work On
Four research disciplines under one roof.
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Our Objective
To create alpha by unlocking new investment strategies with AI.
Our laboratory is an alpha factory. AI lets us generate insights, develop new investment strategies and test far more ideas than a traditional research team, and only the strategies that prove themselves make it into client portfolios.
IDEAS IN THE ALPHA FACTORY · AI RESEARCH LABORATORY ALPHA OUT GENERATETESTVALIDATE INVESTMENT EXPERT Reviews and approves every strategy Alpha Market Illustrative Data, signals and hypotheses New, proven investment strategies
More ideas, explored faster
AI searches markets and data at a scale no human team can, surfacing opportunities others miss.
Only the proven survive
Every strategy is generated, tested and validated before it is used, after costs and tax.
Alpha delivered to clients
New strategies flow straight into model portfolios, so clients benefit as soon as they are proven.
Our Method
Nothing reaches a portfolio until it survives the laboratory.
Our laboratories run the scientific method. Every idea starts as a testable hypothesis, is put through controlled experiments, is reviewed independently, and is only deployed once the evidence holds.
Step 01
Hypothesis
Step 02
Experiment
Step 03
Review
Step 04
Deployment
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Far beyond an out-of-the-box LLM
The general-purpose AI tools available to everyone today are not built for investing. Our models are purpose-built for portfolio decisions and far more advanced.
More rigour than training an LLM on a task
Teaching an LLM to perform an activity is not the same as proving it works. Every model we deploy is tested, reviewed and validated through the scientific method first.
Experts who know the dangers
Both shortcuts carry real risks, from confident errors to models that fail when markets change. Our lab's investment and computer science experts know where these dangers lie and design them out before anything reaches a client.
Facilities
Dedicated infrastructure, not spare capacity.
Our laboratories run on dedicated compute and a governed research data environment, separated from production systems. Scientists and engineers work side by side, so a promising idea and its implementation are never more than a desk apart.
RESEARCH ENVIRONMENTDedicated compute and inferenceGoverned dataScientistsInvestment expertsEngineersside by sideVALIDATEDRELEASEProductionLIVE PORTFOLIOS
Read what the laboratories are publishing.
Research notes, working papers, and methods.
View Research
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