Capabilities
Ariamena designs, runs, and delivers human data programs in real environments. The work is one process, not a chain of vendors.
Data program design
Scoping, coverage planning, acceptance criteria, and the consent and governance framework the program will run under.
- Task and environment scoping
- Coverage and variation planning
- Acceptance criteria and data specification
Real-world data capture
Egocentric and third-person video, audio and speech, spatial and sensor data, and written context, recorded where the activity happens.
- Trained contributors in real settings
- Multi-modal capture protocols
- Consent and briefing built into the workflow
Annotation and structuring
The structure a model can learn from, applied consistently and documented.
- Objects, actions, and boundaries
- Keypoints, pose, and segmentation
- Temporal sequences, transcripts, intent, and outcome
Human evaluation
Judgment from people who do the work, applied to model outputs.
- Expert review of outputs
- Preference and ranking data
- Task-specific evaluation rubrics
Validation and quality
Multi-stage review that checks accuracy, consistency, and whether the data still answers the original question.
- Layered review
- Consistency and coverage checks
- Traceable acceptance
Delivery and documentation
Versioned datasets with the records your team and your reviewers will ask for.
- Data cards and provenance records
- Your formats and schemas
- Versioning and change notes
Modalities
Programs are designed around the signals the model needs, not around a single capture tool. Most programs combine several.
- Video
- Audio and speech
- Language and text
- Spatial and 3D
- Sensor and telemetry
- Documents and screens
- Multimodal sequences
How it fits together
Every capability above is a stage of one method. Program design sets the acceptance criteria; capture, structuring, and validation answer to them; delivery documents how they were met.
Tell us what your AI needs to understand. We'll help shape the data program that gets it there.