Labs

Bring your hardest problems into our lab.

Organizations come into our lab to tackle complex problems. We experiment across a wide range of technologies to prove what works, then hand over validated prototypes or blueprints for your team, or your implementation partner, to scale.

Why a lab

Find out before you invest.

Most AI ideas look promising in theory. The lab is where you find out, with a real build or a buildable design, before the big investment, the contract, or the costly implementation.

We take on the work that sits between an idea and the decision to invest heavily in it, whether the technology is brand new or already part of your estate. And because we never sell implementation armies, we have no reason to tell you yes.

From a Solution Blueprint: a reference architecture (redacted).

Where the lab fits

We find what works. You take it from there.

The lab works before the big build, not instead of it. We don’t sell implementation, so your team, or the implementation partner you already trust, takes what we prove into production.

  1. Cloud Lighthouse

    In the lab

    Experiment, prototype, and design. Find out what works, and what doesn’t.

  2. The handover

    What you take away

    A validated prototype to scale up or a solution blueprint, with the evidence behind it.

  3. You or your implementation partner

    Into production

    Your team or your partner builds and runs it, with us on hand if you want us.

Implementation partners: bring us in to test a client’s idea before you build. What we hand over is ready for your team.

Work with the lab

How a lab engagement runs

Focused cycles, starting from two weeks.

Every cycle is scoped with you up front. Larger ideas run several cycles, one after another or side by side when timelines are tight.

  1. Agree the question

    The decision riding on it, and what the cycle will deliver.

  2. Build and validate

    Alongside your people or on our own, on the technology that suits the problem, with an early check that it does what it should.

  3. Prove what works

    A prototype you can scale up or a solution blueprint, with an insights report. A clear no stops you investing in the wrong technology.

  4. Decide what’s next

    Take it forward with your team or partner, change course, or stop, knowing the risks either way.

From real lab work

Questions we answer in the lab.

Each one answered in lab cycles, before anyone commits to a big build.

Can we connect the single source of truth in our data lake to a custom copilot?

Is this portal the right choice to manage our thousands of field personnel and volunteers?

We need a better way to monitor and govern AI adoption, but we don’t need to own the tools ourselves.

Just how exposed are we to data in SharePoint training AI tools like Copilot without us knowing?

How straightforward will it be to move our application data and connect it to the lake?

A law firm needs this custom connector. A global NGO and a utility company need it too. Can we share the cost?

The lab team

The people who build with you.

Led by our Lab Director, with senior leaders from across Cloud Lighthouse alongside every cycle.

Bogdan Demeny

Lab Director

Yash Agarwal

Technologist

Ritika Agarwal

Technologist

Petru Boulescu

Technologist

Vlad Buliga

UI/UX Specialist

Talk to us

Bring us your hardest problem.

Tell us what you’re trying to find out and the decision riding on it. We’ll recommend the lab service that fits.