Quantitative systematic investment management powered by scientific research and advanced computational technology.

It starts with a filing no one has time to read

Adople AI builds AI systems that turn SEC filings, compliance policies, and financial disclosures into structured, audit-ready data. We build for banks, funds, and financial institutions where a missed detail isn't a small mistake.

What if your best ideas had room to run?

We look for people who are scientific, collaborative, and ready to code. If you want to make a real-world impact with your ideas, start here.

Explore open opportunities

We look for signals across markets to deliver alpha for our clients

Applying a systematic approach across investment management, securities, and real estate.

Sophisticated technology platform

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Advanced data science

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Collaborative quantitative research

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$75B+

in assets under management

~1700

people across 3 continents

25

years using AI in investing

~640 PB

petabytes of data processed

img SYSTEMATIC STRATEGIES

Rigorous Scientific Inquiry &
Advanced Quantitative Models.

001.

Statistical Arbitrage

Exploiting high-frequency mean-reverting patterns and mathematical anomalies across global liquid assets.

  • Identify
  • Backtest
  • Execute
002.

Systematic Macro

Distilling global macroeconomic indicators and fundamental data into non-correlated directional signals.

  • Identify
  • Backtest
  • Execute
003.

Equity Market Neutral

Employing beta-hedged long and short quantitative equity strategies to isolate clean statistical alpha.

  • Identify
  • Backtest
  • Execute
004.

Machine Learning Alpha

Applying advanced deep learning and non-linear models to identify complex patterns in vast datasets.

  • Identify
  • Backtest
  • Execute
[ ENTERPRISE AI ]
[ PRODUCTION STANDARDS ]
[ COMPLIANCE READY ]
[ AGENTIC SYSTEMS ]
[ ENTERPRISE AI ]
[ PRODUCTION STANDARDS ]
[ COMPLIANCE READY ]
[ AGENTIC SYSTEMS ]
[ ENTERPRISE AI ]
[ PRODUCTION STANDARDS ]
[ COMPLIANCE READY ]
[ AGENTIC SYSTEMS ]
[01]

Built for production from day one.

Role-based access control, audit trails, and enterprise-grade security are part of the design, not added on afterward.

01
Built for production from day one
[02]

A focused specialty.

We work in two industries - healthcare and financial services - so our teams build for HIPAA-aligned and SOC 2-aligned realities, not generic use cases.

02
A focused specialty
[03]

Agentic, not just generative.

Our systems plan and complete multi-step tasks with verification built in, instead of only producing text for someone else to check.

03
Agentic, not just generative
[04]

A transparent process.

Every project starts with discovery and a working prototype, well before any conversation about full deployment.

04
A transparent process
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Research Compute

25K

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img CAREERS & CULTURE

Where Engineers
Do Their Best Work.

  • 01. Real Problems, Not Busywork
    Every engineer works on systems that reach production - healthcare and financial platforms real clients depend on, not internal side projects.
  • 02. Small Teams, Real Ownership
    No layers of approval. You own what you build, from the first prototype to the system running in production.
  • 03. Two Cities, One Team
    Engineering in Salem, client work out of San Francisco. Everyone works close to the problem they're solving.

Institutional Gated
Portal Gateway.