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Institutional financial technology

Trading, portfolio and risk software for institutions.

Wellbridge builds institutional software for trading, portfolio management and risk management — across equities, bonds, foreign exchange, derivatives and crypto. It is designed for banks, hedge funds, asset managers and wealth managers rather than for retail trading. Exposures, risk and margin requirements arrive reconciled, with their assumptions attached and open to review.

Start a conversationHow we work
Illustration: an ultra-wide monitor on a dark desk showing a risk terminal — a large profit-and-loss area chart, a candlestick strip, a volume histogram and tables of positions.
Illustration: a risk terminal, where positions, profit and loss and market data resolve on a single surface.

The problem

Trading, risk and reporting rarely share one picture.

Execution in one system, positions in another, risk and margin in a third. Each may be right on its own. Together they arrive without the assumptions, the data vintage or the change history that would let anyone check them.

  • 01

    Assumptions drift out of sight

    The inputs behind a model change faster than the note recording why they were chosen.

  • 02

    Numbers arrive without provenance

    A figure travels further than the explanation of where it came from.

  • 03

    Review is hard to evidence

    Without a versioned record, a reviewer can see the answer but not how it was reached.

Two analysts seated at a desk beside a tall window, one pointing at a monitor showing abstract multi-line charts in blue and orange.
The desk, the review, the decision — the three places risk work actually happens.

What we build

Three connections, one chain from trade to decision.

We think of the work as a bridge: it only carries weight when every span is joined.

  1. Data to its origin

    Every position, price and input carries where it came from, its vintage and any adjustments — visible at the point it is used.

  2. Models to their assumptions

    Assumptions are stored beside the results they produce, so a change can be traced to what it moved.

  3. Analysis to human judgement

    Assistance drafts and explains; people validate, sign off and remain accountable.

How the chain from trade to decision fits together

Select a part of the structure to see what it joins. Every item is also listed below as ordinary links.

Choose a part from the list to see what it joins.

Our risk product

WellBridge AI Risk Terminal

The WellBridge AI Risk Terminal is Wellbridge’s risk product: positions, exposures, scenario analysis, margin and sign-off on one surface, with every figure traceable to the model and the data it came from.

Ask about the Risk TerminalView the product overview
A monitor on a dark desk showing a risk dashboard: position and exposure panels, a scenario heat grid and a chart lit in blue.
Positions, exposures, scenarios and sign-off in one connected view.

How we work

Institutional software is a discipline.

  • Evidence before claims

    We describe what something does only when we can show it.

  • Lineage you can follow

    Any figure should lead back to its sources in a few steps.

  • Review by design

    Consequential steps wait for a person. Nothing irreversible happens silently.

  • Calm, accessible interfaces

    Dense information, presented so the important thing is obvious.

  • Minimal data

    We collect what a task needs and nothing more.

Read our approach

Insights

Notes on trading, risk and review

All insights
ClarityFive questions to ask of any risk numberWhere it came from, how fresh it is, how it was calculated, what it assumes and who has reviewed it.AI assistanceWhat “human review” should mean in AI-assisted workReview is a design decision, not a disclaimer. Four properties that make it real.Honest demonstrationsWhy we label synthetic dataIllustrations help people understand a workflow. Labels stop them being mistaken for results.

Bring us a trading or risk workflow you need to be able to defend.

Tell us what you trade, who has to trust the numbers and what a reviewer would need to see. We will reply with questions before we reply with answers.

Start a conversation