Artificial Intelligence · Quantitative Systems

Quantitative systems
that compound.

The Infinity Fund is a zero-to-one consultancy for machine learning and quantitative systems. We design, deploy, and operate the models that move capital, detect fraud, and turn data into a durable edge.

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Forged across the firms that move markets & data

CoinbaseActivision Blizzard MediaFranklin Templeton InvestmentsTano CapitalUpliftDavinAIState of NevadaCoinbaseActivision Blizzard MediaFranklin Templeton InvestmentsTano CapitalUpliftDavinAIState of Nevada
$100M

Capital deployed on a production ML strategy

8+ yrs

Shipping ML systems into production

AWS · GCP

Cloud-native MLOps across both clouds

0 → 1

Built from first principles, end to end

What we do

Three disciplines,
one compounding edge.

We operate where finance, data science, and engineering meet, taking ideas from a blank page to systems running on real capital and real users.

01

Algorithmic Trading

Systematic strategies from research to live execution, engineered for capital that has to perform, not just backtest.

  • Signal research & backtesting
  • ML-driven underwriting & credit modeling
  • Production execution on real capital
02

Data Science & ML

Models that earn their place in the business, fraud detection, forecasting, and risk scoring built on rigorous evaluation.

  • Gradient-boosted trees & deep learning
  • Fraud detection & risk scoring
  • Multi-armed bandits & experimentation
03

Production ML Engineering

End-to-end pipelines that train, deploy, and monitor, the unglamorous infrastructure that keeps models reliable in the wild.

  • Batch & realtime feature engineering
  • SageMaker / Vertex AI training & tuning
  • Dockerized services on autoscaling cloud

The approach

Built like a fund.
Shipped like a startup.

The Infinity Fund was founded on a simple conviction: the most valuable models are the ones that actually make it into production and stay there. We pair quantitative rigor with battle-tested engineering so your edge survives contact with the real world.

From a $100M municipal-bond strategy at Franklin Templeton Investments to fraud detection at Coinbase and bid-optimization at Activision Blizzard Media, the work has always been the same: turn data into decisions that compound.

Let's build something

The stack

Languages
Python · SQL · Rust · TypeScript · C++ · Bash, and whatever the problem calls for
AI / LLMs
Claude & GPT · RAG · agents & tools · prompt + eval pipelines
Cloud
AWS & GCP · Terraform · SageMaker · Vertex AI · BigQuery
Data
Databricks · Snowflake · PySpark · Iceberg · Airflow
Modeling
XGBoost · CatBoost · LightGBM · Keras · MLflow · H2O

Ready to deploy an edge that compounds?

Tell us about the problem worth solving. We'll tell you whether we're the right team to build it.