verb

yen

da

1. from Nyanja (Zambia): to go, to flow.

Streamline your AI operations with industry-specific talent from top universities in Zambia.

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Case studies

2-3 days

turnaround

50%

more affordable

500+

freelancers

Trusted by High Growth AI Companies

YOUR PROBLEM

Labeling data is time-consuming.
Mistakes are expensive.

Your AI model is only as good at the data used to train it. Labeling data accurately is time-consuming and mistakes are expensive.

We connect you to industry-specific talent to build your ground truth dataset. We handle all freelancer operations so you don't have to: sourcing, on-boarding, training, payments & more.

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OUR SOLUTION

We create a specialized team to label your data.

We partner with top universities + organizations in Africa to find the right industry-specific talent for you.
English is the native language in Zambia.
Sourcing process: English test, ID verification, & an interview.
We hand select a team and train them specifically for your project.

DONT BELIEVE US?

THE PROBLEM

Text Extraction

Tasq.ai needed individuals with legal expertise to extract information and answer detailed, complex questions from Modern Slavery Act documents.

The crowd was unable to deliver.

THE SOLUTION

Within 1 week we selected, trained, and on-boarded a team of law graduates to read, extract information, and answer detailed legal questions on Tasq’s platform.

‍Result: Accurately annotated legal documents used to train an AI model to detect modern slavery breaches.

THE PROBLEM

Data Labeling

Our client needed quality instance segmentation performed on hundreds of cells. The client used an automated solution for the initial segmentation. However, it did not accurately label or annotate all the cells.

THE SOLUTION

Within 24hrs we put together a team of final year medical students with expertise in cell biology and image analysis. The team manually annotated the cells in grayscale microscopy images with varied cell types, using a combination of human expertise and AI tools to refine the segmentation algorithm.
‍
Result: Achieved a segmentation accuracy rate of 95%.

THE PROBLEM

Text Classification

Our client had tons of unstructured data on customer complaints. There was a lot of customer churn and they didn’t know why. You can't improve your product or service if you can't hear what your customers are saying.

THE SOLUTION

Solution: Within 3 days we built a team of graduates with a finance background to label user customer support data for a large fintech company. This revealed key pain points for their 400M+ users.

Result: High quality labeling that provided actionable insights for customer retention.

THE PROBLEM

Image Generation

Kinnu, an ed-tech start-up based in London, was spending too much time each week creating content for their learning pathways for their app. Each learning pathway created by Kinnu is around 16,000 words of content and requires 15-20 images. The content is critical for their business but their founders wanted to free up time to focus on higher value-add tasks.

THE SOLUTION

Within 3 days we built a content creation team for Kinnu that leverages Generative AI, specifically Midjourney, to produce high-quality AI images when traditional methods of searching for images fall short. All images are of high-quality and copyright free.

Result: Kinnu’s Head of Content saves 18-24 hrs a week.

STILL NOT CONVINCED?

Listen to our clients.

Overall I was very happy with the professionalism and care taken in the delivery of the project!

- Shayne, Project Delivery Manager at Tasq.ai

The tasks we needed help with were quite complex and required a high level of skills and expertise. I am impressed how our collaboration has grown and absolutely love working with the Yenda team!

- Hannah Celina, Co-founder of Kinnu

We're here to help you build a team!

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