We differentiate ourselves from global competitors by:
Computer vision (CV) is a pioneering technology that equips machines with
an understanding of visual data, from smartphone apps to driverless
vehicles to IoT devices.
The techniques we use at Aya Data:
Supervised learning still forms the backbone of many Natural Language
Processing (NLP) models, particularly for niche and domain-specific
applications. Language annotation is vital to ensure models are up-to-date,
bias-free, and functional across multiple languages, dialects, and cultural
contexts.
Our NLP teams offer C1 / C2 proficiency in English, French and Spanish and fluency in over 10 African dialects. We provide:
3D training data is essential to building sophisticated geospatial
models that need to make sense of complex urban and natural
environments. LiDAR annotation converts complex 3D data into training
datasets.
We are experts in:
Our four pillars of commitment to our clients are based on years of experience of what gets
models into production the fastest and with the best results.
Our four pillars of commitment to our clients are based on years of experience of what gets
models into production the fastest and with the best results.
Our four pillars of commitment to our clients are based on years of experience of what gets
models into production the fastest and with the best results.
Our four pillars of commitment to our clients are based on years of experience of what gets
models into production the fastest and with the best results.
We follow the highest standards of data security and are GDPR and SOC 2 compliant. For sensitive projects, we
provide dedicated high-security Clean Rooms.
The only way to exceed expectations is to understand them in real-time. Effective communication is vital to effectively
complete projects which is why you will always have an open line of communication with us.
Quality is defined by you and delivered by us. Once KPIs are set, we iterate our workflow to deliver the results that
you need to get the most out of your model.
Delays cost money so efficiency is our highest priority. We operate with 20% slack at all times to ensure you
have the data to meet your deadlines.
Maize is one of the most important crops for Ghana’s agricultural industry; there have been significant, largely successful, investments into finding solutions to increase yields over the years. However, maize diseases still pose a significant challenge for maize farmers and communities.
Crime is a global problem which, due to the diversity of its causes, needs a local solution. In the US crime is never far from the political agenda and has played a prominent role in the majority of presidential election campaigns in the modern era. This is perhaps unsurprising in a region where over 500k violent crimes are reported annually (2021).
There are over 200 million instances of shoplifting per year in the United States alone, which is more than 500,000 a day. This ‘victimless crime’ is neither harmless nor without impact as consumers face higher prices and police and courts struggle to keep up with the burgeoning problem.
The global electric scooter market size is expected to reach USD 34.7 billion by 2028, expanding at a CAGR of 7.6%. Needless to say, this is changing the landscape of transportation, especially in urban areas. The growth will impact public transportation, city infrastructure, and critically, how self-driving cars should be trained to ensure the safety of the people around them.
1,200 miles above our heads are hundreds of satellites in low earth orbit traveling at 17,000 miles an hour that are taking high-resolution images of the earth. The aim of this is to understand our world in ever-increasing detail.
The Client is a leading utility company that works to increase the longevity and improve the safety of infrastructure by utilizing cutting-edge tech solutions. The Client engaged its in-house data science team to develop a computer vision model that should detect and classify road cracks, which would enable efficiency and timely maintenance.
The Client is a pan-African insurance company that wishes to utilize cutting-edge tech solutions to verify insurance claims. They assigned their in-house data science to develop a computer vision model that would detect and identify damage on vehicles.
Client X is a leading AgTech company focused on improving agricultural productivity and sustainability through cutting-edge technology solutions. Their aim was to have their in-house data science team develop a computer vision model that would detect and identify weeds.