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We are a technology company building AI for the financial industry.

Risk Intelligence. Market Analytics. Autonomous AI. Three technology pillars. One connected financial intelligence ecosystem.

Simulated environment. Illustrative data only.

Technology for the modern financial market.

Financial firms work across complex markets, data sources and systems. Fellowdata brings risk intelligence, market analysis and automation together in one controlled environment.

  • Risk Intelligence

    Monitor exposure, trading activity, limits and operational conditions through structured risk intelligence.

  • Market Analytics

    Turn institutional reports, derivatives data, corporate disclosures and macroeconomic information into structured market intelligence.

  • Autonomous AI

    Deploy AI agents that monitor, analyse and carry out defined workflows within configurable controls.

Solutions

Three technology pillars.

Use them separately, or together on one shared data and policy layer.

  • 01. Risk Management Technology

    Monitor, analyse and control the risk in your clients' order flow with structured risk management software for brokerages and financial firms.

    • Order flow routing
    • Client risk profiling
    • Exposure analysis
    • Risk limits
    • Margin monitoring
    • Risk alerts
    • Reporting
    • API connectivity
    Explore risk management technology
  • 02. Markets Data Analytics

    Transform institutional reports, derivatives data, corporate disclosures and macroeconomic information into structured market intelligence.

    • COT analytics
    • Open interest and derivatives
    • SEC filings
    • Forex and equities
    • Macro and central banks
    • Commodities
    • Quantitative analytics
    Explore markets data analytics
  • 03. Autonomous AI Agents

    Automate research, monitoring, analysis and reporting with intelligent agents that work within configurable policies and permissions.

    • Market monitoring
    • Research automation
    • Risk monitoring
    • Information processing
    • Alert generation
    • Workflow automation
    • Scenario evaluation
    Explore autonomous AI agents

How it works

From data to intelligence to informed decisions.

Fellowdata turns complex financial information into structured intelligence and controlled workflows.

  1. 01

    Data

    Connect trading platforms, APIs, databases and approved data sources.

  2. 02

    Ingestion

    Normalise and structure financial and operational data.

  3. 03

    Analysis

    Apply quantitative models, rules and analytics.

  4. 04

    AI reasoning

    Evaluate information against your objectives and rules.

  5. 05

    Insight

    Deliver alerts, evaluations and reports to your team, with every step logged.

Human oversight and configurable controls stay central wherever the use case requires them.

Risk management

See risk more clearly.

One desk for your clients' order flow: routing, exposure, client profiles and alerts, all under rules you set.

Explore risk management

Route every client order by rules you control: A-book, B-book or a partial hedge, decided by client profile, order size, symbol and exposure.

Markets data analytics

Market data, in context.

COT positioning, open interest, company filings and macroeconomic data in one analytical environment, with every figure traceable to its source.

Explore markets data analytics

AI agents

Autonomous intelligence, with controls.

AI agents that observe, analyse and evaluate market data within the permissions you set, so your traders decide with better information.

Explore AI agents
Simulated environment. Illustrative data only. AI-generated outputs may be incomplete or inaccurate and should be reviewed according to the intended use and applicable controls.

Our principle

Autonomous does not mean uncontrolled.

Fellowdata's agents work autonomously on analysis, never on trading. You decide how much an agent may observe, analyse and report; your traders make every decision.

Level 3: Evaluate

The agent evaluates scenarios and risk, and explains what it found.

  • Allowed
  • Reviewed by your team
  • Within configured limits
  • Not available
  • Read approved dataAllowed
  • Generate analysisAllowed
  • Send alertsAllowed
  • Evaluate scenarios and riskAllowed
  • Prepare research reportsNot available
  • Run multi-step researchNot available
  • Place or prepare tradesNot available
  • Give investment adviceNot available
  • Audit loggingAllowed

Fellowdata's AI agents analyse and evaluate information only. They do not place, prepare or execute trades, and they do not give investment advice. Trading decisions always stay with your traders.

Industries

Built for financial organisations.

  • Brokerages

    Order flow routing, exposure and toxic-flow control for brokerages, including forex and CFD brokers.

    Brokerage risk technology
  • Prop trading firms

    Technology for monitoring trading activity and risk.

  • Asset managers

    Portfolio intelligence and monitoring workflows.

  • FinTech companies

    APIs and intelligent infrastructure for financial applications.

  • Professional traders

    Automated market intelligence and research workflows.

Principles

Built around five principles.

  • Security

    Protect systems and information.

  • Control

    Define what technology and AI systems can and cannot do.

  • Transparency

    Make important system behaviour observable.

  • Accountability

    Keep clear responsibility for technology and decisions.

  • Resilience

    Design systems to operate reliably under adverse conditions.

Build the future of financial technology.

Tell us about your organisation, your technology environment and the problem you want to solve.