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Deployed AI engineers who build with your team

Our deployed AI engineers, often called forward deployed engineers, work alongside your people to find the workflows where AI saves the most time or removes the most risk, build the solutions and keep improving them. What we build together belongs to you.

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Our approach

Discover, deploy, advance

Every engagement follows the same three stages, so you always know what is happening, who is doing it and how success will be judged.

  1. Discover

    We start by talking to the people who do the work, and agree where AI is worth the effort.

    • Workshops with leadership and the teams doing the work
    • A map of the workflows, systems and data involved
    • Use cases ranked by value, risk and effort
    • Success measures agreed before anything is built

  2. Deploy

    Our AI engineers join your teams and build the solution with them, on PrivateMind.

    • Engineers embedded in your delivery teams
    • Integration with your systems, documents and market data
    • Security and compliance review built into the plan
    • Production release inside your existing controls

  3. Advance

    Once it is live, we measure it, improve it and move on to the next workflow.

    • Evaluation and monitoring against the agreed measures
    • Improvements to prompts, models and fine-tunes
    • Knowledge transfer so your team can run it
    • The next use case, informed by the last

Where we start

Three places financial firms often start

Break and exception triage

What goes in
Reconciliation breaks, trade exceptions and the notes your operations team already keep.
What comes out
Each break arrives with a likely cause, the evidence behind it and a suggested fix, so people start from an answer instead of a blank screen.

Research and filings assistant

What goes in
Internal research, company filings, broker notes and meeting transcripts.
What comes out
Answers with citations back to the source documents, kept inside your permissions and never used for training.

Quant and engineering workflows

What goes in
Your repositories, market data from AtlasFeed and the research modules your team uses.
What comes out
Coding agents in secure workspaces that write, test and backtest changes for your engineers to review.

Workshops

Workshops built around your own data and problems

Run by engineers who build on PrivateMind every day. People leave having done real work with the tools, on problems they recognise.

Leadership

Where AI can make a measurable difference to your firm, what it will cost and what needs to be true for it to work.

Analysts and operations

Practical use of PrivateMind chat on your own documents and data, including projects, sources, skills and connectors.

Engineers and quants

Building on the API, retrieval, evaluation, coding agents in workspaces and when fine-tuning is worth it.

What you can expect from us

  • You own the result. The code, prompts, evaluations and fine-tuned weights we build together belong to your firm.
  • The same people throughout. The engineers you meet at the start are the engineers who build the solution.
  • Work you can see. Everything happens in your repositories and on your PrivateMind environment.
  • Inside your controls. Your data stays on PrivateMind infrastructure and under your policies for the whole engagement.

Questions

AI Solutions questions

Something not covered here? Tell us what you are trying to achieve.

What are deployed AI engineers?

AI engineers, often called forward deployed engineers, who work alongside your people to find the workflows where AI saves the most time or removes the most risk, build the solutions with them and keep improving them.

How does an engagement work?

Every engagement follows the same three stages. In Discover we agree where AI is worth the effort. In Deploy our engineers build the solution with your teams on PrivateMind. In Advance we measure it, improve it and move on to the next workflow.

Who owns what you build?

You do. The code, prompts, evaluations and fine-tuned weights we build together belong to your firm, the same engineers stay throughout, and everything happens in your repositories and on your PrivateMind environment.

Do you run workshops?

Yes, for leadership, for analysts and operations teams, and for engineers and quants. They are run by engineers who build on PrivateMind every day, and people leave having done real work on problems they recognise.

Tell us what you are trying to achieve

We will suggest a workshop or an engagement that fits, and be clear about what it will take.

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