Companies That Trust Us
Data Acquisition for Manufacturing
- Aya Data can acquire real-time data that allows you to track KPIs during manufacturing. We can also help you acquire data to monitor your machinery and equipment as well as the quality of your products.
- You can collect data about each leg of your supply chain to optimize the whole chain by identifying bottlenecks or having immediate insight into inventory levels.
- Historical data about products and market fluctuations can help you make predictive analyses to make demand forecasts and reduce waste. We can help you scrape the web, search open-source libraries, or procure data from our partners that meets your needs.
Data Annotation for Manufacturing
- You need data sets labeled with high accuracy to build functional machine learning models for object recognition. Whether you will use ML to automate manufacturing processes or detect defects, we can annotate your data with pinpoint precision.
- Aya Data can annotate your texts to automatically extract relevant data from documents and streamline your bureaucratic processes.
- We can categorize and label large data sets to create training data that can be used to make data-driven decisions based on accurate ML prediction models.
Data Science and AI Solutions for Manufacturing
- Machine learning models can help you improve your business’s energy efficiency by tracking real-time data from various sources and identifying opportunities for energy saving.
- Every aspect of the manufacturing process can be optimized with AI solutions – from identifying the root causes of deviations to reducing waste to decreasing operational downtime. All you need are AI solutions for manufacturing tailored to your needs.
- Aya Data can build and deploy bespoke AI solutions from scratch or provide trained staff to augment your team for existing projects.
Manufacturing Case Studies
Improving Language Model Accuracy Based on Reinforced Learning from Human Feedback
Overview Client X, an IT company based in Europe but with subsidiary branches across Western Africa, approached us to help train a language model that could assist with writing code as well as answering queries from prompts. The existing language model was trained using supervised learning, but the outputs it provided were not sufficiently accurate. […]
Collecting and Processing Data on a 3000Ha Cocoa Field for Automated Crop Monitoring
Overview Client X is a large agricultural company that wished to optimize its practices in crop monitoring, early disease detection, and weed identification by implementing AgTech solutions. The pilot project was to be conducted on a cocoa plantation covering a 3000 ha area. The Client did not have an in-house team of data scientists to […]
Medical Imaging
Overview Medical diagnostics and imaging are essential to a quick and effective healthcare system. Identifying disease from images requires exceptional skill and expertise, especially when dealing with challenging medical conditions such as subtle cancers, brain and nerve lesions and eye disease.
Content Moderation For Advertising and Marketing
Online advertising is pivotal to brand and business success, not just at enterprise or SMB level, but for small businesses too. However, given that the Google Display Network alone consists of over 200 million sites, apps, and videos, placing adverts involves risk by association to harmful content.
Ethical Data Sourcing in Africa
Machine learning projects require data – that goes without saying. However, obtaining high-quality data for training and testing purposes is one of the most pressing challenges facing AI teams today. For example, Cognlytica found that some 25% of the time spent on machine learning projects was spent on data sourcing…
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