Financial markets engineering

Certified trading infrastructure and production AI for financial markets.

Flowistic engineers certified market connectivity, explainable AI, and high-performance quantitative systems—from architecture through live operations.

  • EPEX M7 Certified ISV
  • Sub-2 ms latency delivered
  • 99.9% trading uptime
  • Quant + production engineering

Evidence before promises

Certified where failure is expensive.

Flowistic combines financial-markets domain knowledge with production engineering. The proof is live infrastructure, measurable outcomes, and teams that can operate what we build.

Trianel
Allianz Global Investors
KfW
LANXESS

Certified

EPEX M7 Independent Software Vendor

<2 ms

Feed handling and order-processing latency delivered

99.9%

Uptime on live trading infrastructure

€200bn+

Assets managed through a delivered investment platform

“Flowistic significantly reduced implementation time and became a true sparring partner—challenging assumptions and driving solutions forward.”
Dr. Michael Heuterkes Head of Modeling and Quantitative Analysis, Trianel GmbH
Flagship engagement

EPEX M7 connectivity assessment and roadmap

De-risk the path to certified intraday power-market connectivity before committing to a large integration programme. We assess the current state, define the target architecture, and sequence the production path.

Delivered in the assessment

  1. 1 Current-state review against M7 integration and certification needs
  2. 2 Target architecture for feed handling, order routing, and controls
  3. 3 Sequenced roadmap with risks, dependencies, and resourcing
  4. 4 Go-live readiness and certification checklist

Problems we solve

The hard part starts after the prototype.

We focus on the boundary where domain rules, performance constraints, regulation, and operational reality meet.

Trading infrastructure

Connectivity must be fast, resilient, and certifiable.

We engineer market feeds, order routing, and operational controls that survive live intraday trading rather than only a test environment.

Certified connectivity, low latency, and 24/7 observability.

Production AI

A promising model is not yet an accountable system.

We turn quantitative and agentic AI work into explainable, monitored, and auditable applications that risk and operations teams can own.

Traceable decisions, validation, and production ownership.

Quantitative platforms

Legacy analytics cannot keep scaling by manual effort.

We modernize risk, investment, and reporting workloads with accelerated computing, robust data pipelines, and pragmatic cloud architecture.

Faster cycles, fewer interventions, and durable internal capability.

Selected production outcomes

Evidence across live financial systems.

Energy trading

Intraday trading infrastructure built for market speed

<2 ms processing latency
  • 99.9% uptime
  • 80% less manual intervention
  • Certified EPEX M7 integration

Asset management

A modern front-office investment platform

€200bn+ assets managed
  • 50+ legacy applications replaced
  • Five strict audit deadlines met
  • Multiple investment teams onboarded

Risk management

High-performance quantitative risk reporting

90% faster report generation
  • Daily instead of monthly monitoring
  • Hundreds of reports automated
  • Unified multi-source analytics

How we deliver

A short path to a system your team can own.

Every engagement moves through three accountable stages, with evidence and knowledge transfer at each boundary.

  1. 01

    Assess the production reality

    Align the business objective, domain constraints, existing architecture, and measurable success criteria.

  2. 02

    Engineer the critical path

    Build and integrate the smallest complete production path with performance, testing, and auditability designed in.

  3. 03

    Operationalize and transfer

    Validate under realistic conditions, instrument the system, and transfer the knowledge required for durable ownership.

Start with the critical path

Bring the architecture question you cannot afford to get wrong.

In 30 minutes, we will clarify the production constraint, the evidence needed, and whether Flowistic is the right engineering partner.