From predictive ML to autonomous agents.
Classic models, GenAI, computer vision, agentic AI, grounded on a Microsoft Fabric backbone with responsible-AI guardrails baked in.
Built for outcomes, not for the deliverables themselves.
Every engagement ships value in the first weeks, not months.
Predictive AI & forecasting
Demand, churn, anomaly, predictive maintenance, feature stores, MLOps and a clear path to production.
GenAI grounded on your data
Retrieval-augmented chat, summarisation and drafting, with citations, content safety and full audit trail.
Agentic AI on Azure AI Foundry
Multi-agent workflows that plan, call tools, act, with human-in-the-loop where it matters.
Computer vision & document AI
Defect detection, OCR, intelligent document processing, trained on your operations, not a generic dataset.
Speech-to-text & translation
Conversational analytics on call recordings, meetings and customer interactions, in 80+ languages.
Responsible AI guardrails
Content filters, evaluation harnesses, model cards and a human-review loop, AI Act compliant by design.
How a typical engagement runs.
A predictable rhythm for unpredictable problems, senior team kickoff through delivery to support.
Use-case shortlist & risk tiering
Two weeks. We score every candidate on value, feasibility and AI Act tier, then pick three to pilot.
Architecture & guardrails
Foundation, models, evaluation harness, monitoring, designed for both first pilot and tenth use case.
Pilot, evaluate, productionise
Pilot in eight weeks. Evaluate against your own benchmarks. Ship with MLOps, not as a one-off.
Adoption, monitoring & iteration
Train end-users, monitor drift, iterate on prompts and models, so AI value compounds.
Where this solution earns its keep.
The day-to-day problems this practice is built to solve.
What makes us different.
Five reasons enterprise teams keep us around long after go-live.
End-to-end
Strategy, architecture, engineering, governance, AI and managed service. One partner, one accountability. Translated into measurable business outcomes the board cares about.
Seniority you can feel
50+ experts, avg. 15+ years. Multi-lingual (NL, FR, EN, EE).
Proven AI & Fabric accelerators
FabricIgnite Packs and battle-tested AI patterns. Reused across 100+ references.
Responsible by design
Privacy by design, GDPR, EU AI Act readiness, Purview-driven governance baked in from day one.
We own the run
Same Sparkleers from kickoff through delivery to support. Managed service keeps the platform healthy and the value compounding.
Bring us your toughest data or AI challenge.
60 minutes. Senior data consultant. We bring 100+ references and a senior team. You bring the messy reality.
Plan a 60-min call →FAQ
Frequently asked questions
- Where should we start with AI and GenAI?
- With a foundation and a use case that pays back. GenAI on messy, ungoverned data is theatre; we make sure the data underneath is trustworthy, then target a concrete, measurable use case.
- Is our data ready for AI?
- Often not yet. Readiness means governed, well-modelled data with clear lineage. We assess that first and close the gaps before putting AI on top.
- How do you keep AI compliant with the EU AI Act?
- We map your use cases to the Act's risk tiers and put the required controls (documentation, human oversight, monitoring) in place ahead of the enforcement dates.
- Should we build our own models or buy?
- Both, deliberately. We use Microsoft and Azure AI and Copilot where they fit, and build custom only where it creates a real edge, so you are not paying to reinvent commodity capability.