Altius
Label training data faster, with higher quality.
Altius is built for teams training modern models, especially Arabic and reasoning workloads. Combine human reviewers with agentic pre-labeling and automated QA to move from raw data to model-ready datasets in shorter, more reliable cycles.
What Altius does.
- 01
Arabic annotation
We use workflows optimized for Arabic with linguistic context, not generic tooling retrofitted for Arabic.
- 02
Reasoning annotation workflows
Label multi-step reasoning, intermediate logic, and model rationale with specialized review interfaces.
- 03
Agentic QA pipelines
Run AI-assisted pre-labeling and quality checks as native pipeline steps instead of manual add-ons.
- 04
Multi-modal dataset ops
Manage text, image, audio, and video labeling with flexible taxonomies and training-ready exports.
- Arabic LLM training programs
- Reasoning model datasets
- Enterprise fine-tuning pipelines
- Public-sector AI programs
How teams run Altius in production.
- Step 01
Ingest raw multi-modal datasets
Bring text, image, audio, and video assets into one labeling pipeline with flexible taxonomy support.
- Step 02
Blend agentic pre-labeling with human review
Use AI-assisted first-pass labels, then route complex samples to specialist annotators.
- Step 03
Run QA and export training-ready outputs
Apply automated quality checks and reviewer calibration before final dataset release.
Deployment snapshot for Altius.
- Specialization
- Arabic + reasoning
- Designed for RTL and logic-heavy model training workloads.
- Modalities
- Text, image, audio, video
- One platform for mixed dataset programs.
- Quality controls
- Agentic QA
- Automated and human checkpoints to keep annotation quality high.
What teams expect after rollout.
- Improve consistency of labels across reviewers.
- Reduce costly relabeling and late QA failures.
- Accelerate iterations for fine-tuning cycles.
- Scale annotation throughput with human and AI collaboration.
AltiusLabel training data faster, with higher quality.
Tell us what you need and we'll walk your team through it, then scope the work from there.
Tell us what you’re building.
Whether you’re scoping a first AI initiative or scaling one that’s already live, we reply from Riyadh — in Arabic or English.
- info@sandrock.ai
- Phone
- +966 53 766 1755
- Address
- 9075 Riyadh Front, King Khalid International Airport, Riyadh, Saudi Arabia
Prefer email? Write directly to info@sandrock.ai.