Your first step to artificial intelligence

A unified platform for all data types.





The Enlabeler Platform

Enlabeler offers an end-to-end solution that integrates with open source tools and unifies the machine learning journey across data types. Reducing complexity, saving time and ensuring data quality is maximised for the successful deployment of your machine learning model.

  • Central place for all data types – no more moving around datasets
  • Call-off open source tools & generative AI models – easy integration
  • Data quality is continuously monitored during development & deployment
  • Each data scientist selects their modules depending on your needs

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Our Services

Enlabeler moreover offers human in the loop services that are focused on data quality, data compliance and producing unbiased, inclusive & representative datasets for your ML models.

Image Annotation

  • 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

  • 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.

Video Annotation

  • 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.

Audio Transcription & Translation

  • Offer both machine and human language specialist for text and audio translation.
  • Speech to text transcriptions for the implementation of Natural Language Processing models, covert your audio/video to subtitles or text
  • 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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Our Clients

Dr. Dvora Joseph Davey

Assistant Professor of Epidemiology, UCLA and UCT

“The team and Enlabeler were able to analyze our data using machine learning and their team to review the data very quickly and effectively. We learned more about the benefits of using machine learning and AI in coding our qualitative data for rapid turn around and dissemination of our study data. Thank you for your collaboration and we look forward to working with you in the future.”


Rens Masselink

R&D Lead at Satelligence

“In order for us to scale our global mapping faster, Enlabeler significantly enhanced our capacity for labeling crop areas, and we are very happy with how the project turned out. The communication was swift and straightforward and they provided quick iterations and adjustments where needed.”


Mollie Painter

Professor of Ethics and Organisation at NBS

“Collaborating with izwe.ai and Enlabeler has been exceptional. Despite linguistic challenges, they delivered outstanding transcription results for our sensitive gender-based violence survivor recordings. Their proactive expertise, nuanced transcribers, and comprehensive insights surpassed expectations.”


Asive Dlaba

Data Scientist & AI Lead at Telkom

“Enlabeler’s swift transcriptions of multilingual call center conversations, seamlessly integrated with our chosen cloud partner, proved invaluable. The HITL team’s adeptness in transcription, segment shortening, diarization, and code switching not only saved 8 hours per 1 hour of work but also led to $20k savings per substantial audio batch.”


Bert Rijk

CEO at Aurea Imaging

“Enlabeler provides flexible and reliable labelling crews for our projects. Communication with the Enlabeler team was pleasant and efficient. We greatly appreciate the social impact that the Enlabeler team makes.”


Amy Bray

Competition Lead and Data Scientist at Zindi Africa

“We are very satisfied with the constant communication. You nailed it.”


Philip Weijschedi

Co-Founder and COO at Auto-Pilot

“We are happy to work with Enlabeler, as their labeling workforce helps us to kickstart new projects. This extra service provides value for our users who want to offset their initial AI model accuracy by labeling and historical datasets.”


Benji Meltzer

Chief Technical Officer at Aerobotics

“Aerobotics has used Enlabeler across large data annotation projects spanning the globe, working with us to build a precisely labelled dataset that underpins our agronomic products. They have been an excellent partner to Aerobotics, providing high quality services and a committed team.”


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,
Praekelt Consulting

“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.”


Cycily 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.”


Sally Hodgin

Operations & Customer Success at Elerian AI

“It’s been a joy partnering with Enlabeler on our user experience Testing projects, a fundamental step in the Elerian Digital Agent development journey. Thank you for going above and beyond to source diverse and talented testers and for being wonderfully flexible to meet the needs of our dynamic organisation!”


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 datasets guaranteed
  • World-class cross validation worksflow
  • SA scores 6th on the global proficiency index

We are personal and reliable

  • Dedicated Project Manager
  • Service oriented, mulitingual worksforce
  • Online, on premises or totally remote

We are fast & secure

  • A quick turnaround to meet your deadlines
  • Humans-in-the-loop processes ensures quality
  • Data security certificates

We create jobs and make an impact

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


Audio hours transcribed (SA English alone)


language experts available in over 10 different languages


Labelers in our database today


Number of annotations made

Recent news

Enlabeler: Data labeling with purpose


The use of artificial intelligence (AI) and machine learning (ML) is growing in a variety of sectors, sparking the need for more data annotation models assisted by specialists globally. While the need for trained annotators is increasing, it’s often

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Bridging the gap with Enlabeler


As more organizations are relying on artificial intelligence and machine learning technology, trained data annotation specialists are in high demand. Enlabeler is bridging the gap between an eager data annotation and labeling workforce and the risin

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