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SESEN.AI

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AI strategy & implementation for finance & health

SESEN.AI is a specialist AI consultancy founded by Dr Berkan Sesen, who brings 15+ years of experience building and scaling AI systems across financial services and healthcare.

  • Min project size
    $5,000+
  • Hourly rate
    $200 - $300 / hr
  • Employees
    2 - 9
  • Year founded
    Founded 2025

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    Our Story

    SESEN.AI was founded by Dr Berkan Sesen (DPhil, AI, Oxford) to bring investment bank-grade AI expertise to organisations that need senior hands-on delivery, not slide decks. We pair deep capability in ML, NLP, and agentic systems with commercial experience managing $2B+ in AI-driven assets. Principal-led: Berkan works directly on every engagement, supported by specialist associates from our research and engineering network as projects require.

    What Sets Us Apart

    Senior-led AI delivery, not outsourced juniors

    Principal-led delivery by a DPhil-qualified AI specialist with 11+ years across Citi, JP Morgan, and UBS. We build and ship, not just advise.

    Quick Facts

    1 year in business

    Tools and Technology

    Microsoft Azure
    Azure
    Google Cloud Platform

    Commonly Asked Questions

    Yes. We are UK-based and fully GDPR compliant. We have experience building systems that handle sensitive data in both financial services (FCA-regulated environments) and healthcare (NHS clinical data). We design with privacy-by-default principles including on-device processing and data minimisation where appropriate.

    Every engagement starts with a scoping session to define objectives, deliverables, and success criteria. We then work in iterative two-week sprints with regular check-ins, typically weekly demos or written progress updates. We use lightweight tooling (GitHub, Linear, or whatever the client already uses) and prioritise direct communication over process overhead. Berkan is the primary point of contact on all projects.

    We start with a no-commitment discovery call to understand the problem, existing data and systems, and what success looks like. From there we produce a short scoping document outlining approach, timeline, and cost. Once agreed, we run a kickoff session covering access requirements, communication preferences, and milestone definitions. For build projects we typically have a working prototype or initial analysis within the first two weeks so both sides can validate direction early.

    Our track record includes ML-powered investment products that scaled to over $2B in assets under management, an award-winning digital health app live on both app stores, and trading systems deployed in production at two global banks. We scope conservatively and prefer to underpromise, so the large majority of our engagements deliver on time and on budget. Where ROI is quantifiable we define metrics upfront and report against them. Where it is harder to measure, such as strategy or research engagements, we agree clear deliverables so there is no ambiguity about what was achieved.

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