Agent orchestration

AI agent teams building tomorrow's finance tools

We run teams of intelligent agents that design, verify and ship the next generation of tools for finance, investment and economics. Every task goes to the best-suited model: power where it matters, frugality everywhere else.

Cost

Multi-model routing

Expert models for critical reasoning, fast and local models for repetitive work. Spend is tracked continuously, task by task.

ROI

Every agent is measured

Delivered quality, rework rate, cost per deliverable: resources flow to where they create value, and teams are tuned accordingly.

Time-to-market

Teams working in parallel

Development, review, compliance and security testing, deployment and metrics analysis move forward together, with a checkpoint at every stage.

Shipping a trading bot under human control

A simulation of our orchestration console on a typical project: the planner splits the epics, picks the model for every task and arbitrates agent feedback. Figures are illustrative.

Orchestration console Project: trading bot under human control
Sprint 7 · D3 · 09:40 Live Simulation
Tasks delivered —
Rework rate —%
Average cost / task —€

Planner and agents

  • Assignment
  • Approved
  • Rework
  • Blocked

Planner log

    Sprint epics

    • E1 FIX & WebSocket market connectors 0 %
    • E3 Safeguards: limits, kill switch, audit 0 %
    • E4 Mobile control app 0 %
    Simulated console: invented epics, decisions and figures to show how it works, no client data.

    Orchestrated delivery chain

    From ticket to deployment, every deliverable passes through specialised agent teams. Checks send back whatever fails, and metrics feed continuous improvement.

    Improvement loop Sent back for rework 01 Development coding agents 02 Review cross review 03 Compliance business rules 04 Security tests & dependencies 05 Deployment continuous delivery 06 Metrics cost · quality · time
    Flow illustration: tasks move from stage to stage, and checks send them back when needed.

    Artificial Intelligence & Machine Learning

    We harness the power of AI to push the boundaries of financial performance.

    ML

    Machine Learning

    Enhancing decision-making

    Our Machine Learning algorithms analyze massive volumes of data in real-time to identify patterns invisible to the human eye. They optimize trading strategies, predict market movements, and continuously refine investment decisions.

    • Predictive market trend analysis
    • Anomaly detection and risk management
    • Dynamic portfolio optimization
    • Strategy backtesting and validation
    AI

    Artificial Intelligence

    Optimization beyond human capabilities

    Artificial Intelligence allows us to optimize complex systems where traditional approaches reach their limits. Ultra-fast execution, resource allocation, intelligent order routing: AI makes critical decisions in microseconds with precision impossible to achieve manually.

    • Smart Order Routing
    • Real-time latency optimization
    • Dynamic system resource allocation
    • Autonomous adaptation to market conditions

    Questions about AI agent orchestration

    01

    What is AI agent orchestration?

    It is the coordination, by a planner, of specialized AI agents that share the development work: writing code, review, compliance and security testing, deployment and metrics analysis. Each agent uses the model best suited to its task, under the supervision of a human expert.

    02

    How do you keep AI model costs under control?

    Through task routing: expert models are reserved for critical reasoning, while fast and local models take repetitive work. The budget is tracked continuously, task by task, which makes the cost of every deliverable measurable.

    03

    Is code produced by agents reliable?

    Every deliverable goes through cross-review, compliance testing and security testing. Anything that fails the checks goes back for rework, and a human expert validates each step before production.

    04

    Does our data stay confidential?

    Yes. Every project is covered by a non-disclosure agreement signed before any technical discussion, and tasks involving sensitive code or data can be assigned to locally run models, with nothing sent to an external provider.

    NDA signed · Reply within 24 h

    Have a project in mind?

    Let's talk under NDA: we reply within one business day.