R&D LAB · TYPESCRIPT + PYTHON

Quantitative Research Engine: futures backtesting built in-house.

A proprietary futures research and backtesting platform we built in-house: institutional-grade market data pipelines, vector similarity search, machine-learning market regime detection and large-scale strategy optimization.

01 / Quantitative Research Engine

Data engineering at its hardest

Futures research starts with data. Market data has to arrive complete and consistent before any strategy can be tested honestly. Mistakes there do not crash anything. They quietly produce wrong answers.

The Quantitative Research Engine is our internal platform for that work, written in TypeScript and Python.

02 / Quantitative Research Engine

Not for sale, on purpose

The engine is proprietary R&D. We do not sell it.

What we do offer is the engineering behind it. Data pipelines, vector search and machine learning on large datasets are the same skills we bring to custom AI solutions and data-heavy web application development for clients.

03 / Quantitative Research Engine

Where it shows up in client work

Financial data needs the same care in production. Our work on the Asora wealth management platform exposes portfolio, reporting and family-office data to AI models, with large datasets processed in a secure sandbox.

WHAT IT DOES

Quantitative Research Engine

// 01
Market data pipelines
Institutional-grade pipelines that turn futures market data into research-ready datasets.
// 02
Vector similarity search
Similarity search over market data, built on vector representations.
// 03
ML market regime detection
Machine-learning models that detect the market regime a strategy operates in.
// 04
Large-scale strategy optimization
Strategies are optimized at scale instead of being tuned by hand.
// 05
TypeScript and Python
Two languages, one platform, each used where it fits.

PRICING

Internal R&D

Not for sale. The same data engineering is available as a service.

BUILT WITH

Built with our
own services.

ACustom AISelf-hosted AI models, custom AI agents, MCP servers and AI strategy from a team that runs AI in production.BWeb applicationsCustom web apps, dashboards, portals, SaaS and internal tools in Angular, React, Node.js and TypeScript.

FAQ

Questions
answered.

A

Can I buy or license the Quantitative Research Engine?

No. It is internal R&D and not for sale.

B

Can you build a data platform like this for us?

Yes. The same data engineering is available as a service. Start with custom AI solutions or a technical consultation.

C

Which technologies does it use?

TypeScript and Python.

D

Why does a software company build its own research platform?

Because hard problems keep engineering sharp. Crows build their own tools. So do we.

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Response within 24 hours on business days · patrik.kelemen@crowie.io