European AI & Software Agency

Built for funds. AI agents, data systems and software for venture capital, private equity and finance teams: deal sourcing, LP reporting, portfolio data.

First use case live in production, at a fixed price agreed up front.

The problem

Where a fund loses its week.

The work around each investment decision is mostly reading, copying and chasing. It lands on the people who should be talking to founders and LPs.

  1. Sourcing by hand.

    Analysts check the same databases, newsletters and event lists every week and paste what they find into a sheet.

  2. An inbox full of decks.

    Inbound applications arrive faster than anyone can read them. Good companies wait and weak ones get the same attention.

  3. Reporting season.

    Portfolio numbers come in by email in a different format from every company, and someone rebuilds the LP report by hand each quarter.

  4. A CRM nobody trusts.

    Contacts go stale, duplicates pile up and the warm path to a founder or an LP stays in one partner's head.

What we build

Systems for the investment team.

Typical systems we build for funds. Each one runs inside the tools your team already uses and is scoped as one use case.

  1. SOURCING

    Deal sourcing and screening

    A pipeline that pulls companies from the sources you already watch, scores each one against your thesis and hands the team a ranked list with the reasons behind every score.

    Typical parts

    • Source monitoring
    • Thesis-based scoring
    • Ranked shortlists
    • Weekly digests
    Data and intelligence
  2. INBOUND

    Inbound application triage

    An agent reads every deck and form submission, extracts the facts your team screens on, checks them against your criteria and routes each application to the right person. A human decides, the agent does the reading.

    Typical parts

    • Deck and form parsing
    • Criteria checks
    • Routing and replies
    • CRM logging
    AI agents and automation
  3. PORTFOLIO

    Portfolio data and LP reporting

    A portal where portfolio companies submit their numbers in one format, with reminders and validation. The same data feeds the LP report, so the quarterly rebuild becomes a review.

    Typical parts

    • Collection portal
    • Reminders and validation
    • KPI dashboards
    • LP report drafts
    Product engineering
  4. NETWORK

    LP discovery and network intelligence

    A research engine that finds and qualifies LPs that fit your fund, maps who in your network knows whom, and keeps the CRM clean while it works: deduplicated, enriched, up to date.

    Typical parts

    • LP discovery
    • Relationship mapping
    • Enrichment
    • CRM hygiene
    GTM engineering

How it works

Diagnose. Build. Embed.

Front end, back end, databases, AI, and agents. We build the whole system, not just the model.

  1. Diagnose

    Map the work, find the wins

    We map how your product and operations actually work, then pinpoint where custom software or AI pays back fastest. You get a clear plan, not a workshop.

    Product and process mapping Technical audit Architecture plan ROI ranking
  2. Prototype

    Show a working demo

    You click through a working demo of the real thing, not a slide deck. We adjust it with you before committing to the full build.

    Working prototype Real data and UI Fast iterations Fixed scope
  3. Build

    Build the real system

    We build the production system end to end: front end, back end, databases, and the AI or agents where they earn their place.

    Front and back end Databases and auth AI and agents Integrations
  4. Deploy

    Ship and train

    We ship to production, watch the first real usage, and train your team so the system holds up without us in the room.

    Production release Team training Handover docs Monitoring
  5. Embed

    Extend and embed

    As you grow we extend the system, add capacity, and roll out the next build on a cadence you control.

    Ongoing support New features More capacity Next roadmap

Ways to engage

You know the price before we start.

Three ways to work with us. The price is set per use case and agreed up front. No calculators, no guesswork.

  1. Audit. Free. We map your processes and tell you where AI pays back first. The findings are yours to keep.
  2. Sprint. One use case, built and running in production, at a fixed price agreed before you commit.
  3. Run. We stay on as your tech partner on a fixed schedule: operate what we shipped, improve it, extend it.
Book a free Audit

FAQ

Questions from funds.

  • Yes. We build on the CRM, data providers and inbox your team already uses, and connect them through their APIs. If a tool has no usable API, we tell you in the Audit before anything is scoped.

  • Your team. The systems read, extract, score and rank. Every score comes with its reasoning and its sources so an analyst can check it, and anything that leaves the firm goes through a person first.

  • With the least access the work needs. Data stays in European infrastructure by default: managed, your own cloud, or on-premise. We keep it only as long as the work requires and never reuse it outside your project. More on the security page.

  • With the free Audit. We map how sourcing, screening and reporting run today and name the one use case that pays back first. That becomes a Sprint at a fixed price agreed before you commit.

Yours, next

Start with one use case for your fund.

The free Audit maps your process and names the first system worth building. Case studies are coming soon. See who we work with.