Privacy infrastructure
Separating inspection, policy, transformation and recovery into explicit security boundaries.
Research & Engineering
Engineering boundaries. Researching better decisions.
Our technical work connects privacy architecture with structured decision research, while keeping implementation evidence separate from future goals.
Areas of work
Focused questions.
Explicit evaluation.
We describe the technical direction publicly without exposing confidential implementation details or claiming results we have not qualified.
Structured decision models
Studying Choice, Score and Noul decisions with typed outputs and meaningful probabilities.
Moroccan language research
Planning evaluation for Darija, Arabic and Latin scripts, mixed-language inputs and Moroccan context.
Efficient inference
Comparing decision-focused approaches and measuring latency, memory and cost before claiming advantages.
Data protection architecture
Keeping sensitive processing and recovery within configured boundaries while controlling external destinations.
Reproducible evaluation
Tracking data provenance, grouped splits, calibration and experimental evidence to make future claims defensible.
Engineering philosophy
Keep authority
where it belongs.
Model confidence is information.
Policy is authority.
A detector may classify data and express uncertainty. A privacy system decides what the application is allowed to do with that data, under explicit policy.
That separation keeps research progress from silently broadening access or weakening a processing boundary.
Explore PrivacyGuard architectureEvidence before scale
Make the next claim
worth trusting.
Claims about model quality, efficiency and reliability require more than a successful demonstration.
Data
Track provenance and intended-use rights. Keep evaluation splits resistant to leakage.
Behavior
Test typed decisions, uncertainty, boundary cases and context changes.
Languages
Evaluate Darija, scripts and mixed inputs separately. Do not infer support from an encoder.
Operations
Measure reliability, privacy boundaries and performance in the environment being claimed.
Let’s build what comes next
Work on a question that matters.
Contact us about research collaboration, technical partnerships or future engineering opportunities.