The AI hype is reshaping the IT market. 1/3 pillars of our strategy is to seed and build new AI-native businesses within 2 years so we don't just survive the shift — we lead it.
The consulting and IT services market is changing as AI agents and automation reduce demand for traditional staffing models. The Business AI Cluster exists to build AI product businesses where we sell subscriptions, licences, and fixed-scope implementations — not CVs or bodyshop hours.
Traditional IT staffing is under growing pressure as clients adopt AI internally. Instead of selling headcount, we sell defined-scope products and accelerators that deliver value independently of team size. And who buys value? Business people — decision-makers who are at least partially outside of IT departments.
Backed by Bull's investment and DataSentics' existing business, we have the capacity to make these bets on our future — we do not need to make it work tomorrow unlike many traditional companies — but that backing comes with a real responsibility to deliver results. We validate market fit and scale the ones that gain traction to make at least 1 product successful within a 2–3 year horizon.
We're building revenue based on subscriptions, licences, and repeatable implementations — not project-by-project staffing. Products with their own clients, teams, and growth paths. If we succeed, we gain a structural margin advantage through access to Bull's infrastructure and the EU AI Factories ecosystem, keeping AI compute costs well below market rates.
Every product goes through a rigorous lifecycle — from backlog idea to a fully funded, profitable business. We invest at each gate, kill what doesn't work, and double down on winners.
Validate market fit and potential. Prepare inputs for next funding round.
Generate revenues & clients. Prepare inputs for next funding round.
Prove potential profitability / ROI. Prepare inputs for next funding round.
In an AI-driven world, the only durable advantage is moving up the value chain — where business is done on trust and partnership, not commodity delivery. Here is where we play and where we want to go.
You trade trust · bear full business + IT complexity · true business partner
Palantir, SAS, SAP · trade trust · own IT complexity · share business complexity
Productized business processes · own full IT complexity · business complexity stays with the customer
Consulting · own IT architecture · IT ops & business complexity stay with the customer
Bodyshop · people / HW / materials · all IT & business complexity stay with the customer
General human productivity has multiplied — and keeps multiplying with Claude, co-workers, agents, etc. Everything ships faster, cheaper, with fewer people.
Today we profit from a shortage of expert demand — Databricks-style platform & data engineering work. Before AI agents, we had ~10 years to ride this wave.
With productivity exploding through agents and copilots, the supply gap is closing much faster. The runway is real, but it's no longer a decade.
To beat the competition we must transform our business so the synergy between Bull and DataSentics becomes a real advantage. Diversification alone won't be enough to grow.
Right now we're exploring ~6 product bets in parallel. That's healthy for discovery — but to win a niche all the way up the value chain, we will need to prioritize and concentrate resources behind the bets that prove traction. Quality, not quantity.
It's the one altitude where AI cannot replace us. Everything below will keep commoditizing. Everything above will keep compounding on partnership and accountability.
We are exploring whether to partner more deliberately with outcome-based services — businesses where we can jointly transform their operating model into a hybrid / BPO offering, rather than selling them tooling.
The pattern we're testing: industries that already sell an outcome (not a deliverable), have a meaningful human-judgment layer, and a semi-physical workflow that AI alone can't fully replace.
Dive into our product portfolio or meet the leaders driving each initiative forward.