Data As Services

Data As Services describes itself as a data science company whose models and tools range from artificial intelligence for lending and healthcare to an SEO tracking product. Its older material describes data-as-a-service as a model in which the company stores and manages a client's data through the cloud, so that the client can work with its customers while the analysis is handled for it.

Financial services models

The firm's financial work includes KYC automation, which checks a customer's identity using facial recognition with liveness detection, and OCR extraction, which reads the details from ID cards so that loan applications can be processed faster. Its material describes deep learning models for a range of financial sectors.

Healthcare models

The healthcare work covers models that predict hospital bills, classify types of disease from patient records, and use natural language processing to book doctors' appointments and handle some administrative tasks. The firm also describes anomaly detection models intended to flag serious complications such as heart attacks, strokes and sepsis. These are the firm's own descriptions of what its models do, and they are presented here without any claim about clinical results.

Energy and industrial sensors

For oil, gas and energy companies, the firm offers IoT solutions that read periodic data from machinery through sensors and devices and turn it into analytical insight. Customized deep learning models are used to support predictive and preventive maintenance, so that equipment can be serviced before it fails.

Retail and restaurant analytics

The retail work uses image analytics and facial recognition to show businesses how returning customers behave, and it adds sentiment analysis. Recommendation engines built on machine learning and deep learning suggest products to shoppers, and in restaurants they can suggest menu items. The firm's material describes these as end-to-end solutions for shops and restaurants.

Image processing and neural networks

Image work covers recognising objects, sorting pictures into classes and general image processing, built with convolutional neural network architectures such as Inception, VGG, AlexNet and ResNet, together with logistic regression and support vector machines. Object detection work uses algorithms in the YOLO and Faster R-CNN families.

The Neural SEO network and data services

The Neural SEO network is the firm's search product. It crawls each page of a client's site, analyses what each page is about and how valuable it is, then links the pages through semantic mapping, with the results delivered through an API, in JSON or into a database. A dashboard shows organic presence and monitors website health and off-page metrics. Beyond the product, the firm offers data analysis, database management, data warehouse and big data services, data platform optimization for systems such as Hadoop, Oracle and SQL Server, and data center infrastructure for clients who need it.