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Systems BY THE PEOPLE
Accountable to the People

Systems BY THE PEOPLE
Accountable to the People

Pallas AI

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Image

We are Providing

Expertise

Integrity

Quality

a bicycle with a white frame
white volkswagen beetle coupe scale model
Image

We are Providing

Expertise

Integrity

Quality

Our vision

Shaping the Future of Meaningful Customers Connections. Turning Support Into a Growth Advantage

BUILD ACCOUNTABLE AI SYSTEMS THROUGH HUMAN EXPERTISe

Pallas AI is committed to serving the organizations that aims fair and accountable AI and autonomous systems.

We compete on fair labor, trust and quality.

FAQ

Everything You Need to Know Before Getting Started

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Everything You Need to Know

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Support Questions, Answered

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Common Questions From Support Team

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Everything You Need to Know

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Support Questions, Answered

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Common Questions From Support Team

Specializations

Specialized data services for high-stakes AI

Experienced reviewers, linguistic nuance, and subject-matter depth for data that cannot be handled generically.

Real regulatory experience

Built on hands-on GMP site licensing background — batch records, SOPs, deviations, and audit-ready documentation, not annotators reading a style guide.

Native Turkish data

Annotation, transcription, and RLHF done by native speakers — not machine-translated approximations of English guidelines.

Pharma & Life Sciences

Regulatory-grade annotation grounded in GMP site licensing experience — including batch records, SOPs, deviations, clinical trial data, and pharmacovigilance review.

Turkish & Multilingual Data

Native-level Turkish NLP and speech annotation, cultural-context review, translation QA, and dialect-aware data handling.

Medical & Healthcare Data

Clinically-informed annotation for notes, EHR data, medical imagery, and accuracy review for medical RLHF, with KVKK/HIPAA-aligned handling.

Domain Expert Review

Licensed professionals review legal and financial documents, complete subject-matter QA passes, and support credentialed reviewer sourcing.

Content Moderation & Trust & Safety

Policy-driven review for platforms, including harmful content flagging, misinformation labelling, and moderator wellness safeguards.

Model Evaluation & Benchmarking

Test finished model outputs against ground truth with accuracy benchmarking, hallucination-rate testing, and rubric-based output scoring.

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