No AI without trusted data.
This is the gate everything passes through. Before a single model touches your business, we audit your data and applications — availability, quality, vulnerabilities, governance — so the blind spots that quietly kill AI projects get caught first. Cheap to fix now. Ruinous to discover later.
◢ THE 4 CONTROL DIMENSIONS
Four checks stand between an idea and production.
Pass all four and you scale on solid ground. Fail one and you find out on your own time, in production, with your reputation attached.
Classification & Governance
Privacy, business criticality, sensitivity, usage rights. We classify your apps and data and implement the CIA triad, then verify traceability across your information systems — and define which datasets are actually safe for private vs. SaaS AI.
Vulnerabilities
Exposure, flaws, penetration tests where they matter. A mapping of data and application weaknesses, NIS-compliant — surfaced before any deployment, not after an incident writes the headline.
AI Readiness
Is the data even accessible, and under what rights? We check source systems, access rights and historical depth — do you actually have what's needed to feed or train the model reliably?
Quality
Completeness, freshness, consistency, error rate. Is the data clean enough to produce results you'd bet on? Because not all of it is — and shipping on dirty data is worse than not shipping.
◢ THE DATA WE FLAG
Some data can never feed a model. We know where the lines are.
IP & engineering data
Proprietary designs, firmware, encapsulation processes, multi-mode algorithms — the crown jewels that must never leak into a third-party model.
Customer-classified datasets
Data owned by third parties, agencies, NGOs and corporate clients — often under use agreements signed years before AI was mainstream.
Personal classified data
Entrusted personal data, medical profiles, GPS coordinates, behavioral patterns — the kind of data that ends careers when mishandled.
Personal data (GDPR & friends)
Employee, customer and supplier personal data across jurisdictions and privacy regimes — handled by the rules, not by hope.
Commercial data
Customers, contracts, SLAs, pricing, pipeline, proposals, custom quotes, supplier terms — your competitive edge, kept yours.
Financial data
Revenue, P&L, controlling and tax data — governed, gated, and never casually exposed to a prompt.
Would your data survive an AI project?
Most teams don't know until it's too late. The governance gate tells you in weeks, not incidents.
Run the gate◢ KEEP GOING