Bytte operates under strict data governance, following global standards for privacy, security, and ethical AI practices.
Bytte is committed to the highest standards of data protection, security, and ethical AI. We align our practices with global frameworks to ensure transparency, accountability, and trust.
We align with NDPA and GDPR requirements, ensuring lawful data collection, consent management, and individual rights protection.
NDPA • GDPR AlignedOur operations follow SOC-2 and ISO 27001-aligned practices for information security management and access controls.
SOC-2 • ISO 27001 AlignedWe follow ISO 42001, OECD AI Principles, and NIST AI RMF for responsible AI development and dataset governance.
ISO 42001 • OECD • NIST AlignedAll datasets include standardized Data Cards with provenance documentation, methodology, and limitations disclosed.
TransparentBytte aligns with Nigeria's Data Protection Act (NDPA) and the EU's General Data Protection Regulation (GDPR) to ensure lawful, transparent, and secure data handling practices.
All data contributors provide explicit, informed consent. We maintain detailed consent records and ensure data is collected only for specified, legitimate purposes.
We respect data subject rights including access, rectification, erasure, and portability. Contributors can exercise these rights through our documented processes.
Clear IP ownership through work-for-hire contracts. All contributors understand how their data will be used and licensed to third parties.
We collect only the data necessary for stated purposes. Personal information is anonymized where possible, and retention periods are clearly defined.
Our security operations follow industry-leading standards to protect data confidentiality, integrity, and availability throughout the entire data lifecycle.
Role-based access controls (RBAC) and multi-factor authentication ensure that only authorized personnel can access sensitive data systems.
Data is encrypted at rest and in transit using industry-standard protocols (TLS 1.3, AES-256) to protect against unauthorized access.
Comprehensive logging and monitoring of all data access and modifications. Audit trails are maintained for accountability and incident response.
Data is stored on secure, redundant infrastructure with regular backups. We implement network segmentation and intrusion detection systems.
Third-party vendors undergo security assessments. We ensure our partners meet equivalent security standards through due diligence processes.
Bytte aligns with ISO 42001, OECD AI Principles, and NIST AI Risk Management Framework to ensure our datasets support transparent, robust, and human-centered AI systems.
Following OECD AI Principles, we provide clear documentation on dataset sources, collection methods, and potential limitations. Every dataset includes comprehensive provenance information.
Our data collection prioritizes human welfare and dignity. Native speakers are fairly compensated, and we ensure cultural sensitivity in all annotation processes.
We follow the NIST AI Risk Management Framework to identify, assess, and mitigate risks throughout the dataset lifecycle including bias, privacy, and safety concerns.
Datasets undergo rigorous evaluation for demographic representation, dialect coverage, and potential biases. We document known limitations and provide guidance for responsible use.
Our operations align with ISO 42001 for AI management systems, ensuring systematic governance of AI-related risks and opportunities in our dataset development process.
We adhere to ethical AI principles: no deceptive practices, fair compensation for contributors, and respect for cultural and linguistic diversity in all data collection activities.
Bytte aligns its practices with internationally recognized standards and frameworks for data protection, security, and AI governance.
Nigeria Data Protection Act
General Data Protection Regulation
Service Organization Control
Information Security Management
AI Management System
AI Principles
AI Risk Management Framework
Dataset Documentation Standard
Complete chain of custody documentation from collection through validation. Every dataset includes information about source, contributors, collection dates, and processing history.
Regular audits and reviews ensure ongoing compliance with evolving standards. We update our practices as regulations and best practices develop.
Our team receives ongoing training on data protection, security best practices, and ethical AI principles to maintain high standards across all operations.