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Your trading platform, built on a stack that already trades.

Building your own trading platform? Work with the team that built ours. We help firms design, build and run AI-native trading systems, from exchange connectivity to fund accounting, using components we run in production every day.

Tell us what you are building How it works

Who it is for

  • Trading firms and funds

    Launching or rebuilding systematic strategies without assembling a separate team for every one of them.

  • Banks and brokers

    Modernizing electronic trading with AI-native components instead of bolting models onto legacy systems.

  • Digital asset businesses

    Connecting to centralized and on-chain venues with infrastructure that has already met their edge cases.

  • Fintechs and new platforms

    Adding trading, prediction or fund operations capabilities to a product without starting from zero.

What we build with you

Each capability is a system we run in production. We adapt it to your markets, connect it to what you already operate, or build the missing pieces alongside it.

  1. 01

    Trading infrastructure

    In production as Pebble

    Exchange connectivity, order management, market data, risk, backtesting and replay on commodity cloud hardware, written in C++ and benchmarked at 1 million messages per second.

  2. 02

    Prediction models

    In production as Prometheus

    Transformer and world-model techniques that read order books across assets and venues, adapted to your markets and data.

  3. 03

    Decision and execution

    In production as Hive

    Reinforcement learning that turns proven, expert-driven strategies into behaviors that hold up across many noisy trades.

  4. 04

    Research automation

    In production as Metis

    An agentic research workflow that runs backtests, validates data and analyzes fills overnight, with human review before anything reaches production.

  5. 05

    Fund operations

    In production as Ledger

    Daily reconciliation across venues, wallets and banks, a double-entry journal, and NAV and investor reporting from the same records.

How it works

  1. 01

    Map

    We start with your markets, venues, data and constraints, and agree what the platform must do on its first day in production.

  2. 02

    Design

    We decide together which layers to adopt from our stack, which to build new, and which of your existing systems to connect.

  3. 03

    Build

    We build and integrate against real venue behavior, with the same research standards, risk checks and review gates we use ourselves.

  4. 04

    Run

    We take it live alongside your team, with monitoring and alerting from day one, then hand over or keep operating it with you.

  • Built by operators

    Our founders ran electronic trading at Deutsche Bank and Bank of America. We build for the failures production actually produces.

  • Proven with our own capital

    Every component runs in our own digital asset trading business, in adversarial markets, before we recommend it to anyone.

  • People stay in control

    Agents propose, people approve. Nothing reaches production, and no books close, without human review.

Questions

Can DeepQ help us build our own trading platform?

Yes. DeepQ works with firms that want to build their own trading platform, from a single layer such as exchange connectivity or fund accounting to a full AI-native stack. Engagements use components DeepQ runs in production. Write to partnerships@deepqdigital.com.

Which parts of the stack can we adopt?

Any of the five layers: trading infrastructure (Pebble), prediction models (Prometheus), decision and execution (Hive), research automation (Metis) and fund operations (Ledger). Many teams start with one layer and connect it to their existing systems.

How does an engagement work?

In four stages. Map: your markets, venues, data and constraints. Design: which layers to adopt, build new or connect. Build: integration against real venue behavior with DeepQ’s research standards and review gates. Run: live alongside your team with monitoring from day one, then hand over or keep operating together.

Do you work with traditional asset classes as well as digital assets?

DeepQ’s own trading is in digital assets, but the stack was built for the structural problems found across capital markets. The firm believes its AI-native framework can be extended to all asset classes; write to partnerships@deepqdigital.com to discuss your markets.

Tell us what you are building

A short note on your markets, venues and timeline is enough to start.

partnerships@deepqdigital.com