Quant Systems & Infrastructure

Built for Alpha. Precision systems.

Alpha infrastructure for funds that move fast.

For emerging funds and family offices.

  • Data pipelines
  • Backtesting frameworks
  • Fund infrastructure

Why most funds stay behind

Generic tools weren't built for this.

Most funds run on infrastructure designed for general business. That's the gap we close.

Quant pipeline · liveprocessing
Raw market data
Tick feedsAlt dataOptions chain
Factor library
News sentimentCross-asset factorsAlt-data embeddings
ML signal output
Alpha scoreConfidencePosition size
Signal generatedtrade ready

01 — Data infrastructure

Data that breaks at scale

Off-the-shelf pipelines weren't designed for tick data, factor libraries, or alternative datasets. We build ones that are.

02 — Alpha generation

Models without domain depth

Generic ML misses Alpha. Signal extraction requires financial context baked into the feature engineering — not bolted on later.

03 — Operations

Systems that don't talk to each other

Investor ops, deal flow, and team workflows on disconnected tools kill speed. We wire them together.

T+0 sync
Data freshness SL
1M features/hour
Signal throughput
Daily full refresh
Retrain cycle

Core Capabilities

Built by engineers who speak finance.

Two practices. One firm. Zero generalists.

01

Quant & Intelligence

Quantitative systems

We build the quantitative backbone — from raw data ingestion to live AI-driven signal generation.

  • Data Pipeline & Factor Library
  • Backtesting & Framework
  • AI Agents & ML Models
02

Infrastructure & IT

Infrastructure consulting

We wire the operational layer — CRM, automation, and enterprise architecture that scales with your AUM.

  • Internal Systems (CRM & HR)
  • Process Automation
  • Enterprise Architecture

Representative work

What we've built. What it does.

Representative work across quant systems, data infrastructure, and fund operations.

DATA PIPELINE

Tick-to-signal data pipeline

Raw market data ingested, cleaned, and structured into a factor library feeding live ML signal generation. Sub-millisecond latency, terabyte-scale.

QUANT INFRASTRUCTURE

Backtesting framework

Walk-forward strategy validation with drawdown analysis and multi-regime testing across historical data.

  • Walk-forward validation with drawdown analysis
  • Multi-regime and out-of-sample testing

FUND OPERATIONS

CRM & fund ops build

Deal flow, investor relations, HR onboarding and reporting — wired together for a lean fund team.

  • Deal flow and investor relations CRM
  • HR onboarding, reporting, and workflow automation

Representative patterns only. No client names or performance claims.

Get started

Ready to build the stack your fund needs?

Whether it's a data pipeline, a backtesting framework, or an internal ops system — let's scope it in one conversation.

No decks. No retainers. Just a conversation.