We find where AI pays off, build it with your own people, and stay until it is adopted. The extended creative tech engine for your innovation and data teams.
We are applied AI experts with the instincts of creatives. Engineers and innovators who think in business value: we build and ship the model ourselves, get energised by a messy operational problem, and read a P&L as comfortably as a training curve. We sit with the operator, then build what the problem calls for, an agent, a forecasting model, an optimisation engine, a piece of computer vision. That is the bridge most organisations are missing.
That combination is what turns a good idea into a solution people actually use. It is also why we go after the problems worth the effort, the ones where profit and planet improve together.
Your data and innovation people already own a full roadmap. We take the exploratory work off it and hand back documented work they can maintain.
Nobody in-house to point at the problem. We run the whole thing, from diagnosis to handover, and you keep everything we build.
Every loop narrows the question and raises the evidence. You decide whether to go further at each stage, and nothing scales before somebody has used it and told us the truth about it.
Remote. We interview the people who own the process and score every opportunity on profit and planet. A readiness score, your maturity stage, three costed starting points.
Your teams turn the top opportunity into concepts, facilitated in Amsterdam or self run with a Hack Pack. The concepts come out theirs, so nobody has to be sold later.
We build the strongest concept on your data and put it in front of the people who would use it daily. A working build, evidence it fits, a straight answer on whether to continue.
Hardening, integration, monitoring and the training that gets people using it. It lands in production and adopted, run by your team or by us.
Five ways in, each scoped to a result before you commit. Most clients start with the Scan.
Remote diagnostic. Where AI creates most value in your business, scored and ranked on profit and planet.
One of our Innovation Catalysts facilitates a session in Amsterdam where your team turns a real business problem into AI concepts worth building.
The Idea Lab in a box, shipped to your office. Run it yourself, at your pace, with your own people.
From concept to a working, tested build on your own data, ready to take into production.
Your burning problem turned into a competitive sprint: your teams, industry experts and external hackers, all in the ring.
All prices excl. VAT (btw).
Anna drives AmPhi Labs with startup-founder instincts, a track record in enterprise innovation at global scale, and the energy of a hackathon coach and competitor. MIT-trained in Applied AI & Data Science and pursuing an MBA in AI, Data & Analytics, she is obsessed with finding where AI solves problems worth solving.
Kevin turns complex operational problems into practical, testable AI systems. With a Master of Science in Artificial Intelligence and experience across applied machine learning, backend development and cloud infrastructure, he works the full tech stack, from data and model evaluation to deployments and user-facing prototypes. He combines technical depth with product thinking to build solutions that create measurable business value.
Camila is a sustainability and strategy consultant. Formerly at Deloitte, she has deep expertise in digital transformation and a drive to advance a low-carbon, purpose-led economy. She turns complex ESG issues into clear, actionable strategies, combining innovation and stakeholder engagement to deliver impact and business value.
Generative AI is the loud one right now, and it is a fraction of what actually pays off. We build across the whole spread.
Knowing where to start is the whole game. Right family, right order, on the use case with the best return. That is what the AI Value Scan is for.
"Anna has transformed the way we innovate. Our Hackathon and her idea acceleration labs didn't just generate creative concepts. They unlocked hidden value and turned promising ideas into scalable business opportunities. She brings structure, energy, and vision to innovation, making it both inspiring and results-driven."
"A game-changer for our Hackathon. Teams were guided with sharp insights and contagious energy, we kept momentum high, and roadblocks turned into real progress. We finished not only with strong prototypes, but with a renewed mindset on innovation."
"Anna's creativity pushed our Hackathon team beyond the obvious, we didn't just compete, we won! She has that unique ability to turn complexity into playful problem-solving, and to rally everyone around it."
Pages from a real scan report. Scored, ranked, costed, and specific to the company that answered.
An AI Readiness Score across five dimensions, with your maturity stage.
Findings mined from your own datasets, each one with the so-what spelled out.
Opportunities sized on your numbers: ROI, payback, prerequisites and what it takes.
Every opportunity placed on profit and planet, with the build-first quadrant marked.
We ask for real production data, so we treat it that way. EU-based processing, access limited to the AmPhi experts running your scan, and never used to train a model. How we handle it.
Every opportunity we find gets two scores: what it does for the business, and what it does for the planet. We go after the ones that are high on both, because those are the projects that survive a budget round and keep their momentum after the pilot.
Machine learning on box stock and procurement, so every order ships in the right size box. Less void space means less cardboard, fewer trucks and lower cost in one move, with a head start on the EU packaging rules.
Diagnosis, modelling, prototyping, production. Classic machine learning, generative AI and agents, chosen on merit. We will also tell you when the honest answer is that AI is the wrong tool.
Our roots run through sustainable packaging, print, paper and regenerative agriculture. We have run innovation at global enterprise scale and built ventures from scratch, so we know your problems from the inside.
Two scores on every opportunity. We look for the cases where the business result and the footprint improve together, because those are the ones that get funded and stay funded.
We will tell you whether AI is the right solution for it, and if it is not, where to start. Bring the problem, the constraints and whatever data you already have. You leave knowing what it would take to solve and whether the return is there.
How agile innovation works in practice, and how to get real value out of AI. What worked, what did not, and ideas you can put to use on Monday. Roughly monthly.
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