TruVector

TruVector

Making AI understand Africa

AI systems struggle with African languages, accents, cultural contexts, and environments. TruVector builds trusted datasets that help AI understand Africa — accurately, ethically, and at scale.

African languages & accents

Datasets that capture the linguistic diversity and speech patterns across African contexts.

Cultural context

Real-world environments, cultural nuances, and contexts that matter for deployment.

Trusted & auditable

Every data point includes rich metadata and validation history for responsible AI development.

Our mission: Make AI work for Africa

AI systems today fail to understand African languages, accents, cultural contexts, and real-world environments. This isn't just a data problem — it's a barrier to building AI that serves African users.

When AI doesn't understand Africa, it fails in real-world deployment. Speech recognition misses accents. Language models miss cultural context. Computer vision misses African faces and environments.

TruVector exists to change this. We build trusted datasets that help AI systems understand Africa — its languages, its people, its contexts — so that AI can serve African users effectively.

Improve AI performance on African languages and accents

Capture cultural context and real-world environments

Reduce bias from thin or skewed datasets

Enable responsible deployment with audit-ready data

Why current datasets fail for Africa

African languages, accents, faces, and environments remain underrepresented. When data is collected, it's often inconsistent, context-poor, and hard to audit.

Underrepresentation of African contexts

Low-quality or noisy samples

Weak validation and inconsistent labeling

No clear consent trail

Uncertain provenance and auditability

Context-poor data that misses cultural nuance

How TruVector helps AI understand Africa

African language & accent data

Datasets that capture linguistic diversity, code-switching, pronunciation variants, and speech patterns across African contexts.

Cultural context & environments

Real-world environments, cultural settings, and contexts that reflect how AI will actually be deployed in Africa.

Rich metadata for accuracy

Each data point includes language, region, consent records, age, phenotypical data, validation history, and provenance — enabling precise model training with licensed datasets.

Every data point includes

Comprehensive metadata for responsible AI development

Language

Region

Consent records

Age

Phenotypical data

Validation history

Provenance

Quality tiers

How we collect data

TruVector is currently developing a mobile application that collects, validates and rewards users. Our workflow ensures every data point includes comprehensive metadata and passes through structured validation processes. Licensed datasets are delivered with complete documentation and usage terms.

Why trust TruVector

Built around responsible data practices for audit-ready datasets

Clear participant consent per data type

Privacy-first handling and access control

Provenance and validation traceability

Bias/coverage monitoring to avoid skewed datasets

Who this is for

AI labs building African-capable models

Product teams deploying speech/vision in African contexts

Researchers needing ethically sourced, validated datasets

Enterprises needing high-trust data for model evaluation

Licensed datasets are available for commercial and research use, with clear usage terms and complete documentation.

FAQ

Do you sell personal data?+

No. Data is collected with explicit consent and governed by defined usage terms. Outputs are designed for responsible use and auditability.

What types of data can you collect?+

Audio, video, images, text/chat, and structured questionnaires — depending on scope and consent model.

What metadata comes with each data point?+

Each data point includes abundant metadata: language, region, consent records, age, phenotypical data, validation history, provenance, and quality tiers.

How do you ensure quality?+

Automated checks plus structured validation workflows, producing tiered outputs aligned to your dataset requirements.

Can you build a dataset to spec?+

Yes. We scope collection and validation around your requirements, target regions/languages, and quality thresholds. Licensed datasets are delivered with complete documentation and defined usage terms.

How are datasets licensed?+

Datasets are licensed with clear usage terms and governance. Contact us to discuss licensing options tailored to your use case and requirements.

Need a dataset built to spec — or exploring a partnership?

Contact us to discuss dataset requirements, timelines, licensing, and design.

Get in touch

For partnerships, dataset requirements, or questions about our approach.

contact@truvector.io