We label your data

and grow Africa’s digital talent ecosystem in the process

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We are the one-stop-shop for companies and people
who need assistance with the classification, clean-up and labeling of datasets.


High quality



Our Services

Our data platform is an end-to-end solution for companies who want to automate business processes with
high-quality annotated data and need assistance with the classification, cleaning-up and labeling of raw data sets.


  • Image annotation for the training and implementation of computer vision models.
  • Object detection, anomaly detection, predictive maintenance, yield estimations, and many other use cases across multiple industries.
  • Bounding boxes, polygons, semantic segmentation, polylines, cloud points.


  • Text classification and annotation for the implementation of natural language understanding and other text related machine learning models.
  • Translation, entity extraction, text classification, summarisation and annotation across multiple industries and domains.
  • Specific focus on local African languages, with successful project delivery in isiZulu, isiXhosa, Sepedi, Sesotho, Afrikaans, English and Kiswahili.


  • Video annotation for the training and implementation of computer vision models.
  • Smart object tracking and anomaly detection in areas of security, behaviour tracking, self-driving cars, and many other use cases across multiple industries.
  • Process multiple frames per second with annotations of your choice.


  • Speech to text transcriptions for the implementation of Natural Language Processing models.
  • Speaker diarisation, call centre transcriptions, and various other use cases across multiple domains.
  • Transcriptions can then become the source data for our text services to allow for call summarisation, sentiment analysis and customer intent, for example.
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    How we work

    We offer our end-to-end services through our own platform, or within your systems environment. In both cases
    we help you transform your data into highly accurate training datasets. This way you can focus on building your
    machine learning capabilities without doing the heavy lifting.

    1. Upload

    Upload your data set

    7. Learn

    Report & Analytics

    2. Clean

    Clean up the data

    6. Train

    Train & deploy

    3. label

    Annotate, classify,
    label & split

    5. Review

    Quality review

    4. organise

    Organise the data

    Enikő Sánta

    Animal Scientist at Serket

    “At Serket we are building a system to recognize and analyze the behaviour of pigs. We always receive good quality data from Enlabeler. They are known for high adaptability and excellent communication.”


    Thembani Phaweni

    AI Lead at Telkom
    Strategic Insights

    “Working with data labeling means that you will have a great deal of confidence that your task will be executed to your needs on time and according to the quality required to train your model . This is where Enlabeler shines.”


    Stefan Steffen

    Executive for Data Science
    Telkom Group

    “Enlabeler has truly surpassed our expectations in terms of the quality of the work produced. The team is responsive and works hard to ensure that value is added from the start. ”


    Bernardt Duvenhage

    NLP & Machine Learning Lead,

    “We’ve used Enlabeler’s translation services a couple of times and really appreciate their ability to adapt to our needs and their dedication to providing high-quality results using local language experts.”


    Jonathan Vos

    Machine Learning Engineer,
    Practice Lead Platform 45

    “At Platform45, we’ve built sophisticated algorithms to process our data to meet the highly technical needs of our AI. Enlabeler has proved pivotal in our development cycle by being receptive to our needs.”


    Stefan Wierda

    Team Manager Advanced Analytics
    at Asset Insight

    “The flexible and pro-active nature of Enlabeler perfectly fits the fast-paced sector in which we operate”


    Raul Incze

    Lead ML Engineer

    “Collaborating with Enlabeler frees Kalido’s ML team to experiment with models and training scenarios, maximising the value our machine learning engine adds to the end users. Data and annotation quality is not something we have to worry about anymore.”


    Gilles Depypere

    Researcher & Lector: Artificial Intelligence

    “Working with Enlabeler was a pleasure. Due to their responsiveness, we were able to quickly communicate our complex labeling needs and obtain the labeled dataset we needed.”


    Pawel Burchaki

    Developer R&D

    “Enlabeler provides high quality results, making our development easier and faster. They always meet our expectations and do everything on time.”


    Cecily Morrison

    Principle Researcher at Microsoft Cambridge


    “A big thank you from me for staying the course and being easy to work with. This was a refreshing change from our previous experience working another global data labeling company.”


    Why work with us

    We bring humanity to data by creating remote jobs of the future in Africa whilst providing the
    highest-quality labeled data.

    We deliver high quality

    • Quality assurance processes
    • World-class cross validation worksflow
    • SA scores 6th on the global proficiency index

    We are personal and flexible

    • We start with your goals
    • Service oriented, mulitingual worksforce
    • Online, on premises or totally remote

    Fast, reliable & secure

    • We like deadline challenges
    • Human reviews ensures quality
    • Data security certificates

    Impact & job creation

    • Creating remote tech jobs in Africa
    • Contributing to SDG 8 - Decent work for all
    • Grow next generation of data professionals
    Learn More

    Our Impact

    Over 40% of all 25-34 year old and >66% of 15-24 year old South-Africans are currently unemployed (Q4, 2021). In line with the 8th Sustainable Development Goal (Decent Work for all and Economic Growth), Enlabeler fosters job creation in the emerging data-driven industry. These jobs not only create livelihoods for the leaders of tomorrow, they also build an ecosystem of talent in Africa and grow the entire economy’s competitiveness in the Artificial Intelligence and Data Industry.

    * Q4 2021 numbers (Stats SA website (http://www.statssa.gov.za/)


    Labeling jobs created


    language experts available in over 10 different languages


    Labelers in our database today


    Number of annotations made

    Our Clients

    We help you train and retrain
    your model to reach 99% accuracy

    Learn more

    Super Human Intelligence