Features
What Altius does.
Arabic annotation
We use workflows optimized for Arabic with linguistic context, not generic tooling retrofitted for Arabic.
Reasoning annotation workflows
Label multi-step reasoning, intermediate logic, and model rationale with specialized review interfaces.
Agentic QA pipelines
Run AI-assisted pre-labeling and quality checks as native pipeline steps instead of manual add-ons.
Multi-modal dataset ops
Manage text, image, audio, and video labeling with flexible taxonomies and training-ready exports.
Use cases
Workflow
How teams run Altius in production.
Step 1
Ingest raw multi-modal datasets
Bring text, image, audio, and video assets into one labeling pipeline with flexible taxonomy support.
Step 2
Blend agentic pre-labeling with human review
Use AI-assisted first-pass labels, then route complex samples to specialist annotators.
Step 3
Run QA and export training-ready outputs
Apply automated quality checks and reviewer calibration before final dataset release.
Implementation
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.
Outcomes
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.
Ready to deploy Altius?
Tell us what you need. We'll show you how it works.
Get started
Let's build something.
Tell us what you need. We'll show you what we've already built — or scope a rapid prototype to prove it works.
Phone
+966 (53) 766 1 755Location
9075 Riyadh Front, King Khalid International Airport
Riyadh, Saudi Arabia