smart apps

Positronic builds smart apps with a continuous delivery model to the cloud on a serverless compute platform. Continuous Delivery is a development methodology in which features get deployed in minutes instead of weeks. Cloud is a compute model that enables ubiquitous, on-demand access to a shared pool of configurable computing resources that can be run on-premises, hosted, or via hybrid infrastructure providers. Serverless is an execution model in which the cloud provider dynamically manages the allocation of machine resources.

 
 
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task automation

Machines can do repetitive tasks faster, without rest, and with more accuracy than humans when powered by the latest AI technology. Save time and money by automating. The automation of work was born out of economic theories on mass production and the ability to manufacture products efficiently and safely. What started as robotics for simple and mundane tasks has now revolutionized the way people and companies do work. Let us super-charge your workforce with tools that automate tasks.

 
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computer vision

Modern computer vision algorithms consistently beat human accuracy in visual recognition tasks. Leverage computer vision for automatic extraction, analysis and understanding of useful information from images or video. Applications include automatic inspection, assisting humans in identification tasks, controlling processes, detecting events, interaction, modeling objects or environments, navigation, and organizing information. We'll build custom systems that manage image acquisition, pre-processing, feature extraction, detection/segmentation, high-level processing, and decision making.

 
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predictive modeling

We deliver near real-time predictions with extreme accuracy. Supervised learning algorithms make predictions based on a set of examples. For instance, the purchase & behavioral information contained in sales systems can be used to predict the lifetime value of a customer early in their relationship. Each visit, each purchase, and each interaction is labeled and used as training data. A supervised learning algorithm looks for patterns in those value labels. It can use any information that might be relevant — the day of the week, the season, the store, the presence of disruptive events. After the algorithm has found the best pattern, it uses that pattern to make predictions against new unlabeled testing data — tomorrow's customers.

 
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real-time communications

We build telephony, video, & screen-share interfaces for cloud apps. This technology allows audio and video communication to work inside web pages by allowing direct peer-to-peer communication, eliminating the need to install plugins or download native apps. Enable recording of dial-out calls, conference calls, & video calls from inside your app on day 1 with our simple APIs,