Remote • Worldwide • Small Projects Welcome
High-Quality Data for Better AI Systems
Astra Vale helps AI startups, research teams, and academic projects prepare, annotate, validate, and evaluate datasets with accuracy, consistency, and fast turnaround times.
Supporting startups, research groups, and machine learning projects with reliable human-in-the-loop data services.
ABOUT ASTRA VALE
Astra Vale is a small AI data operations studio focused on helping startups and researchers build stronger datasets and more reliable AI systems. We combine careful attention to detail, structured quality review processes, and responsive communication to support projects of all sizes.
Data Services for AI Teams
Data Annotation
Text, image, audio, and document labeling for machine learning datasets.
Dataset Validation
Review existing datasets to identify inconsistencies, errors, and quality issues.
AI Response Evaluation
Compare model outputs, assess quality, and provide structured feedback.
Data Cleaning & Preparation
Organize, standardize, and prepare datasets for training and analysis.
Human Feedback Collection
Generate human-reviewed examples and evaluations to improve AI performance.
Research Dataset Support
Assist researchers with large-scale data organization, categorization, and review projects.
Case Studies
Sport media Startup
Astra Vale annotated player-ball interaction events in padel match footage, including precise ball-hit coordinates and tracking markers, enabling an AI video editing system to automatically follow the ball.
Medical AI Research Lab
Enhanced Diagnostic Accuracy for Rare Pathologies
We executed high-precision image segmentation and expert-level cleaning of clinical scan metadata, improving model sensitivity to low-frequency pathologies by 22% for research publication.
E-commerce Vision Tech
Stabilized Visual Search Across 1M+ SKUs
Provided rigorous RLHF evaluation and attribute categorization for large-scale product catalogs, leading to a 35% increase in visual search relevance and user conversion metrics.
Built Around Quality and Reliability
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Quality First
Every project follows a structured review process to ensure consistency and accuracy.
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Fast Turnaround
Clear timelines and dependable delivery schedules for your research and development.
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Flexible Engagement
Available for one-time projects, pilot studies, and ongoing support.
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Research-Friendly
Comfortable working with both startup teams and academic research projects.
Simple and Transparent Process
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Project Discussion
Share your objectives, dataset requirements, and timeline with our technical team to define the scope of your project.
Scope & Proposal
Receive a detailed project estimate, including delivery schedule and quality assurance requirements based on your dataset complexity.
Execution & Quality Review
Our team works on your dataset while undergoing a rigorous, independent quality review process to ensure absolute accuracy.
Delivery & Feedback
Receive your final outputs and provide feedback for any adjustments or additional validation rounds.
Starter Projects
$75+
- Small datasets
- Pilot projects
- Proof-of-concept work
- Quick turnaround
Flexible Pricing
Every dataset and project is unique. Pricing depends on complexity, volume, turnaround requirements, and quality assurance needs.
All pricing is negotiable based on project size, complexity, and duration.
Standard Projects
Custom Quote
- Medium-sized annotation
- Validation tasks
- Evaluation projects
- Standard quality review
Research & Enterprise
Custom Quote
- Large datasets
- Long-term projects
- Ongoing support
- Academic research