DATA COLLECTION & CURATION

Real-World Training Data, At Scale

Ethically sourced, culturally representative training data from across Africa. We run custom collection campaigns for speech, images, text, and sensor data, capturing the real-world diversity your AI needs to perform accurately where it matters most.

15+

African Countries

12+

African Languages

1,000+

Field Contributors

100%

Ethically Sourced

Data Types

What We Collect

Every collection campaign is designed around your exact model requirements, from demographic targets to linguistic diversity and environmental conditions.

Speech and Audio Data

Speech & Audio Data

Recorded speech across accents, dialects, and environments — indoors, outdoors, noisy, and quiet settings. Ideal for ASR, TTS, and voice assistants.

Read & spontaneous speech Multi-speaker conversations Dialectal variations
Image and Video Data

Image & Video Data

Captured imagery reflecting African environments, faces, objects, and scenes,designed to eliminate bias from Western-centric training datasets.

Facial & biometric diversity Street & environment scenes Agricultural & medical imagery
Egocentric and Robotics Data

Egocentric & Robotics Data

First-person perspective video and sensor streams for training embodied AI, robotic manipulation, AR/VR, action recognition, and spatial computing.

First-person (POV) video Robot task demonstrations Wearable & action datasets
Geospatial and Sensor Data

Geospatial & Sensor Data

Location-tagged field data from African environments — satellite imagery, drone footage, GPS traces, and IoT sensor readings for geo-AI applications.

Satellite & drone imagery GPS & map data Environmental sensor feeds
Our Collection Process

Five stages, from requirements to ready-to-train data.

Every collection campaign runs through the same rigorous process, from co-designed requirements to ethical consent and quality-verified delivery.

Requirements and Design
Step 01
Requirements & Design
Define languages, demographics, geographies, recording conditions, and format specs with your team.
Participant Recruitment
Step 02
Participant Recruitment
Screened contributors recruited across 15+ African countries to match your demographic and linguistic profile.
Consent and Compliance
Step 03
Consent & Compliance
Informed consent collected. Rights, compensation, and usage terms communicated per GDPR and NDPA.
Collection and QA
Step 04
Collection & QA
Field supervisors oversee quality in real-time. Data reviewed against technical specifications before acceptance.
Processing and Delivery
Step 05
Processing & Delivery
Data cleaned, normalised, and optionally annotated before secure delivery in your preferred format.

Languages We Cover

Yoruba Hausa Igbo Swahili Amharic Zulu Wolof Twi Oromo Somali Luganda Xhosa Pidgin (Nigerian) Ewe Malagasy Kikuyu Tamazight Fula Shona Sesotho Lingala Darija Kinyarwanda + more

Ethics & Compliance

  • Explicit informed consent in local languages
  • GDPR & NDPA compliant data handling
  • Fair compensation for all contributors
  • Data anonymization & secure storage
  • Right to withdraw & data deletion

Explore Other Services

Service

Model Evaluation

LLM benchmarking, RLHF & red-teaming.

Service

Data Annotation

Image, text, audio & video labeling.

Service

Language Localization

African language datasets & translation.

Service

Talent Service

On-demand AI talent placement.

Need Custom Data from Africa?

Tell us your data requirements and we'll design a collection campaign tailored to your model's needs.