Regional reach
People, languages and environments matched to verified program needs.
Real-world data. Regional intelligence.
Aria MENA designs and manages consented data collection, annotation and human evaluation for AI systems that need to understand the people, languages and environments of MENA and Africa.
02Operating principles
Verifiable quality
Defined acceptance criteria, measured outputs and review evidence.
Cultural accuracy
Native or demonstrated regional knowledge where context matters.
Responsible provenance
Clear origin, consent, permitted use and documented handling.
03Real environments
Real work happens in specific environments.
Program design starts with the task, setting and variation the model must understand. These are examples of the environments Aria MENA can scope—not claims of active sites.
Production and workshops
Structured physical tasks where tools, objects, sequence and safe working conditions matter.
- Assembly and packaging
- Tool use and maintenance
- Warehousing and handling
Hospitality and service
Human-scale workflows shaped by space, timing, language and interaction.
- Kitchen workflows
- Housekeeping tasks
- Retail and customer service
Skilled and specialist work
Demonstrations and judgments that require relevant experience rather than a general crowd.
- Repair and diagnostics
- Skilled trades
- Domain-specific evaluation
04Capability system
From the physical world to model-ready evidence.
One managed operating layer for hard-to-source regional data—designed around your protocol, modality and acceptance standard.
0103040506
Flagship capability
02Egocentric and Physical-AI Data
First-person video and real-world task capture for robotics, embodied AI and multimodal systems.
Multimodal Data Collection
Coordinated image, video, audio, text and sensor collection under a defined program protocol.
Data Annotation
Human labeling, review and structured delivery for visual, language and mixed-modality datasets.
Multilingual Speech and Language Data
Native speech, transcription and language work designed for dialect, context and code-switching.
Human Feedback and Model Evaluation
Rubric-led preference, quality, cultural-fit and safety evaluation by relevant reviewers.
Domain-Expert AI Training
Specialist demonstrations and evaluation for tasks that cannot be judged by a general crowd.
05Managed delivery
A data program, not a task marketplace.
Aria MENA translates model needs into a controlled regional operation with evidence at each handoff.
- 01
Define
Protocol, participant profile, environments, risks and acceptance criteria.
- 02
Pilot
Small-batch capture and review before production scale.
- 03
Operate
Managed recruitment, collection, annotation and quality control.
- 04
Deliver
Structured data, provenance records and measurable acceptance evidence.
06Program controls
Responsible data is part of the operating design.
The exact controls depend on the project. Aria MENA defines them before collection and records what was actually applied.
Consent and permitted use
Explain the task, capture method, intended use and relevant participant choices.
Contributor fit and instruction
Match people to the task and give them clear examples, boundaries and escalation routes.
Acceptance and exceptions
Define measurable checks, invalid cases, review depth and rework before production.
Provenance and versioning
Connect each delivery to its protocol, consent version, transformations and review record.
07Start with the model problem
Tell us what your model needs to see.
Share the task, modality, environment and acceptance standard. Aria MENA will help determine whether a focused pilot is practical.