Define the system’s purpose and confirm it against EU AI Act requirements before a line of code is written.
STEP 2
Responsible data preparation
Source, clean and document data with provenance and bias checks built in from the start.
STEP 3
Data annotation & documentation
Label data with full traceability, producing the documentation regulators and auditors expect.
STEP 4
Model development with embedded controls
Build with human oversight, explainability and security controls as part of the architecture, not an afterthought.
STEP 5
Deployment & ongoing monitoring
Launch with monitoring in place, so drift, incidents and new obligations are caught early.
Governance and cybersecurity, embedded from day one
Retrofitting compliance after a model ships is slower and costlier than building it in. Our teams sit alongside yours through every step above, so the system that ships is the compliant one.
Have a build already underway?
We can join at any stage, from concept to a system already in production.