BUILDING TODAY FOR TOMORROW’S NEEDS
UPCOMINGPROJECTS
A set of applied AI projects for language, health, better understanding of human patterns, and safer environments.
Live English→Farsi Dubbing
ConceptPurpose: A natural, fluent experience for watching English video content in Farsi.
Current focus: Real-time translation, natural Persian speech generation, preserving the speaker’s tone, and keeping audio in sync with the video.
Next step: Build and evaluate a first prototype on short video content.
Audio is processed only to produce the dubbed stream; no speaker identification and no voice profiling.
Virtual Skin Lab
PrototypePurpose: Simulating skin condition and showing possible care and treatment scenarios, to support more informed decisions.
Current focus: Modelling skin layers, analysing imaging data, and estimating likely changes over time.
Next step: Scientific validation of the base models with specialist data and clinician review.
Skin images are processed only with explicit consent. This project is a decision-support tool — not a replacement for a physician’s diagnosis or prescription.
First Impression AI
Internal testingPurpose: Responsibly studying the factors that shape first impressions in human interactions.
Current focus: Multimodal analysis of visual and behavioural cues, together with measuring and reducing model bias.
Next step: Internal evaluation across diverse scenarios and groups, before any limited pilot.
Anonymous analysis only — no identity recognition, no emotion inference, no biometric templates; aggregate insight, never individual profiles.
Behavioural & Environmental Pattern Analysis
PrototypePurpose: Helping create safer work and public spaces by detecting movement patterns, crowding, dwell and unusual events — without attributing intent or judging individuals.
Current focus: Local (on-premises) camera processing, anonymous spatial-pattern analysis, and privacy-control design.
Next step: A privacy audit and a limited, supervised pilot.
No facial recognition, no identity, no emotion inference — aligned with the EU AI Act prohibitions; aggregate, privacy-preserving metrics by design, fully separate from any access-control system.
Biometric Access Control
ConceptPurpose: Fast, secure access to authorised areas in workplaces, with privacy at the core of the design.
Current focus: Face liveness verification, local processing, permission management, and fallback paths for failure cases.
Next step: Hardware selection, security testing, and design of a controlled pilot.
Strictly separate from behaviour analytics: enrollment is explicit and consent-based, biometric data is used only for the access decision, and every decision is audit-logged.
The project development path
Concept
The problem, the real need and the solution’s potential value are examined.
Prototype
The core capability is built and tested at a limited scale.
Internal testing
Quality, safety, privacy, fairness and reliability are assessed.
Pilot
The solution is tested in the real world with a defined scope, human oversight and clear success criteria.
The stage shown is each project’s current development status — it does not mean readiness for public release or final deployment.
Behaviour analytics ≠ biometric security. Analytics is anonymous and aggregate — no facial recognition, no identity; biometric access control is a separate, consent-based system. No Smart project infers people’s emotions — aligned with the EU AI Act’s prohibited-practices rules.
Principles that guide every project
Human value
Every project starts from a real need and must create a meaningful outcome for people.
Responsible intelligence
Privacy, fairness, safety and human oversight are considered from the start of design.
Evidence before claims
Each project’s progress and impact are assessed with clear criteria and measurable results.