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Primace

Primace

Agency
Nigeria flagIle-Ife, Nigeria
sites.google.com/view/primace
$10.00/hrExpert27+ISO 27001GDPR

Key Skills

Software

AWS SageMakerAWS SageMaker
Anno-MageAnno-Mage
AppenAppen
ArgillaArgilla
Axiom AI
ClickworkerClickworker
CloudFactoryCloudFactory
CrowdFlowerCrowdFlower
CrowdSourceCrowdSource
Data Annotation TechData Annotation Tech
DataloopDataloop
DatatroniqDatatroniq
Google Cloud Vertex AIGoogle Cloud Vertex AI
LabelboxLabelbox
LionbridgeLionbridge
MercorMercor
MindriftMindrift
OneFormaOneForma
OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
RemotasksRemotasks
Scale AIScale AI
SuperAnnotateSuperAnnotate
Surge AISurge AI
TolokaToloka
TelusTelus
LabelImgLabelImg
Label StudioLabel Studio

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
ImageImage
TextText

Top Task Types

Evaluation Rating
Prompt Response Writing SFT
RLHF
Text Summarization
Translation Localization

Company Overview

Primace is a data labeling and annotation company dedicated to powering the next generation of artificial intelligence through accurate, context-aware, and ethically sourced data. Our mission is to make AI more intelligent, inclusive, and globally representative; one labeled dataset at a time. We provide high-quality labeling services across text, image, video, and audio data, supporting tasks such as NLP annotation, sentiment analysis, image segmentation, speech transcription, and data validation. Primace combines human expertise with efficient workflow automation to deliver precise, culturally relevant data for AI companies worldwide. With a trained and verified workforce across Africa and beyond, we ensure secure, GDPR-compliant data handling and multi-layered quality control, maintaining accuracy above 98%. Founded in Nigeria, Primace partners with organizations in healthcare, education, finance, and research; building AI systems that better reflect diverse human realities through ethical data labeling and local insight.

ExpertIgboHausaArabicFrenchYorubaEnglish

Security

Security Overview

At Primace, safeguarding client data is central to our mission. We implement comprehensive physical, digital, and procedural controls to maintain the highest standards of confidentiality, integrity, and data protection throughout every labeling project. Physical Security Access to our operational hubs and workstations is restricted to authorized personnel only. All work environments are monitored with CCTV surveillance and use secure entry systems. Devices used for annotation are password-protected, regularly inspected, and configured to prevent data downloads or unauthorized storage. Cybersecurity Policies Primace operates within a secure, cloud-based infrastructure protected by enterprise-grade firewalls, antivirus systems, and AES-256 encryption. All communications occur over SSL-encrypted connections, and two-factor authentication is enforced for all project management tools. Regular security updates and vulnerability scans help maintain a secure digital environment. Employee Confidentiality & Data Handling All employees and contractors sign Non-Disclosure Agreements (NDAs) before accessing client data. Each team member receives mandatory training on data privacy, cybersecurity, and responsible AI data practices. Role-based access control ensures annotators view only the data required for their specific tasks. Audits & Compliance We perform regular internal audits and quality checks to verify compliance with GDPR and ISO/IEC 27001 best practices. Data retention, transfer, and deletion policies are strictly enforced, ensuring that client datasets are never reused, shared, or stored beyond the project scope.

Security Credentials

ISO 27001GDPR

Labeling Experience

Label Studio

Text Classification and Sentiment Analysis for Conversational AI

Label StudioTextEvaluation RatingFine Tuning
Primace partnered with an AI development firm to train a conversational model capable of understanding customer emotions and intent. Our team annotated thousands of text samples across multiple categories—positive, negative, and neutral sentiments—while tagging entities and intents for improved contextual understanding. The project required linguistic precision, consistency, and domain-specific understanding to ensure high-quality data for training sentiment and dialogue models. Quality assurance was conducted through a multi-layer review process, ensuring over 97% data accuracy and reliability for model fine-tuning.

Primace partnered with an AI development firm to train a conversational model capable of understanding customer emotions and intent. Our team annotated thousands of text samples across multiple categories—positive, negative, and neutral sentiments—while tagging entities and intents for improved contextual understanding. The project required linguistic precision, consistency, and domain-specific understanding to ensure high-quality data for training sentiment and dialogue models. Quality assurance was conducted through a multi-layer review process, ensuring over 97% data accuracy and reliability for model fine-tuning.

2024 - 2024
LabelImg

Image and Object Classification for AI Vision Systems

LabelimgImageAction RecognitionEvaluation Rating
Primace executed a large-scale image and object classification project to support the training of computer vision models used in real-world recognition systems. Our team accurately labeled thousands of images using bounding boxes and class annotations, ensuring clear distinction across multiple object categories and environments. Each annotator received domain-specific training and followed detailed labeling guidelines to maintain high consistency and precision. A multi-layer quality assurance system was implemented, including peer review and expert validation, resulting in accuracy rates above 98%. All labeling was performed on secure, cloud-based platforms (CVAT, Labelbox, and LabelImg) with strict access control and GDPR-aligned data protection. This project strengthened Primace’s capacity in computer vision data annotation, AI dataset structuring, and collaborative workflow management, contributing to the development of more accurate and context-aware vision-based AI systems.

Primace executed a large-scale image and object classification project to support the training of computer vision models used in real-world recognition systems. Our team accurately labeled thousands of images using bounding boxes and class annotations, ensuring clear distinction across multiple object categories and environments. Each annotator received domain-specific training and followed detailed labeling guidelines to maintain high consistency and precision. A multi-layer quality assurance system was implemented, including peer review and expert validation, resulting in accuracy rates above 98%. All labeling was performed on secure, cloud-based platforms (CVAT, Labelbox, and LabelImg) with strict access control and GDPR-aligned data protection. This project strengthened Primace’s capacity in computer vision data annotation, AI dataset structuring, and collaborative workflow management, contributing to the development of more accurate and context-aware vision-based AI systems.

2024 - 2024