We operate human feedback pipelines and annotation workflows that move AI projects from prototype to production. Specialized in RLHF, Computer Vision, and native Turkish language data — with the QA rigor enterprise teams require.
Built for production AI systems.
What We Operate
We operate structured human feedback pipelines for instruction tuning, response ranking, and safety alignment.
Each annotator is trained against project-specific guidelines, with outputs continuously evaluated through multi-layer QA checkpoints to ensure consistency and model-ready data.
High-precision bounding boxes, polygons, keypoints, and semantic segmentation delivered with pixel-level accuracy.
Designed for autonomous systems, robotics, and industrial inspection workflows where annotation quality directly impacts system performance.
End-to-end transcription, speaker diarization, and audio event classification for ASR and voice AI systems.
Native Turkish datasets delivered with timestamp-level accuracy, reviewer consensus, and multi-tier quality validation.
Supporting AI teams across fintech, autonomous systems, and conversational AI.
How We Work
A structured engagement model designed for teams deploying AI systems in production.
We define data scope, annotation schemas, and quality benchmarks upfront.
Project guidelines are finalized before annotation begins to ensure clarity, consistency, and measurable outcomes.
A controlled pilot dataset validates alignment across requirements, guidelines, and expected output quality.
Your team reviews the results. We iterate until standards are met.
Multi-layer quality assurance ensures accuracy and consistency at scale.
Inter-annotator agreement is continuously monitored, and edge cases are documented to refine guidelines and reduce variance.
Once quality is validated, we scale throughput without compromising accuracy.
Capacity adjusts to your roadmap while maintaining stable performance and QA standards.
Security & Compliance
Why Anatolia Data
The difference between experimental datasets and production-ready AI systems.
All Turkish-language data operations are performed by native speakers with regional and cultural fluency.
No offshore routing. No machine pre-labeling. Every dataset reflects real-world language usage, context, and intent.
All team members operate under strict NDAs within secure, access-controlled environments.
Data handling follows privacy-first workflows, with support for custom security and compliance requirements when needed.
Engagements begin with a focused pilot and scale seamlessly to production volumes.
Our workforce model supports elastic throughput without re-onboarding, process resets, or quality drift.
Quality is enforced by default, not retroactively. Each task passes through tiered review — annotator, senior reviewer, and audit sampling.
Inter-annotator agreement is continuously tracked, and edge cases are documented and escalated.
Operational Workflows
Designed for consistency, traceability, and model readiness.
Model-agnostic pipelines
Custom annotation schemas
Validation checkpoints
Reviewer consensus
Continuous monitoring
Dataset consistency controls
Trusted at Scale
We operate data pipelines for teams shipping real-world AI across language, vision, and speech.
Rigorous multi-layer verification processes achieving 98%+ accuracy across complex datasets, ensuring noise-free training data
Native-language annotation teams trained for domain-specific guidelines
Multi-stage QA workflows with reviewer consensus and audit sampling
Pilot-to-production delivery model trusted by technical and procurement stakeholders
Our work supports AI systems deployed in:
Conversational and generative AI
Autonomous and computer vision systems
Fintech and risk intelligence
Enterprise speech and voice interfaces
(Client names are protected under NDA.)
Consistent output quality across large volumes
Clear escalation paths for edge cases
Stable throughput aligned with product roadmaps
Data that is ready for training — not cleanup
Built for production AI systems.
Project Scoping
Our solution architects are ready to design a custom data pipeline for your specific model requirements.
Operated by Native Turkish Teams under strict NDA.