Empowering People Through Technology and Data

Oak-Tree builds technology that connects people to their data and empowers insight.

E-Commerce and Web

Acorn is the web platform for data. It allows you to turn your ideas into content and experiences faster than ever before.

Health and Medical

Integrated platforms and machine learning driven solutions will allow for patients to become active participants in their well-being, improve collaboration amongst physicians, and allow more effective research.

Industrial and Manufacturing

Integrating sensors, control systems, and machine learning allows for improved uptime, integrated data streams to empower new types of manufacturing, and streamlined operations.

Harnessing Information to Create Knowledge and Generate Actionable Intelligence.

With the right data and technology, it is possible to ask important questions. Hard questions. The type of questions whose answers are capable of changing the world.

Oak-Tree exists to help individuals and organizations find meaning in their data. We build software and services that empower fast decision making and consequential intelligence.

Analytics.

Data powers your organization. Analytics can help you to look at it with new eyes to see trends and opportunities.

Big Data.

New technology trends such as always connected phones, proliferation of cheap sensors, the connection of all devices to the Internet provide the ability to analyze enormous amounts of data in real-time. Help us show you how to harness your data streams for success.

Machine Learning and Artificial Intelligence.

Machine learning and artificial intelligence can help you surface insights and trends that you may not have known existed. Artificial intelligence can make recommendations, enrich data with new features, anticipate and take action on events, and do many other things. Let us show you how you can put AI to work for your business.

Artificial Intelligence is not the future, it's here today.

Artificial Intelligence (AI) powered products and services are available now - from self-driving cars to personal digital assistants - and we are just getting started. AI allows machines to learn and apply knowledge, enabling them to accomplish complex tasks. Examples of what AI products can do include:

  • Drawing conclusions and making predictions from data
  • Analyzing images and video (computer vision)
  • Working with text and speech (natural language processing)

AI can be used in a huge variety of ways, and is an exciting development. It allows for us to create systems that can react and respond to the world.

Oak-Tree is a leader in Artificial Intelligence.

Oak-Tree has been developing data driven applications which leverage AI for over a decade in healthcare, real-estate, finance, education and training, web and e-commerce, and government markets.

How is AI used?

Aerial Photo of Aerial Coastine (1)

Computer Vision when combined with other emerging technologies, such as drones, can be used for mapping coastlines, spotting for resources, or creating plans to address environmental issues.

Industrial Process: Refining

Artificial intelligence, analytics, and machine learning can help to bring insight to difficult industrial processes and problems. This includes optimizing controls, taking action on operational data, and predicting machinery failure.

Mapping the AI landscape.

Artificial intelligence is a broad field of technology. How do you know in which direction you should go? What is the general process to understanding how to use AI in your industry and organization?

Data drives the education of models.

Data and classical analytics, supplemented by "feature engineering" produces the input for machine learning models. The ability to track nearly every facet of modern life as a "datapoint" means that machine learning models have a huge variety of sources to learn from. Big data sets improve the quality of education that AIs receive. For many organizations, learning how to capture and use their data is the first step toward the adoption of AI.

Classical Machine Learning

Classical machine learning models make use of statistical techniques to explain "variance" in data distributions. Examples of classical machine learning algorithms include linear regression, k-Nearest Neighbor, learning vector quantization, self-organizing maps, and support vector machines.

Deep Learning

Deep learning is a branch of machine learning that uses computer simulations called artificial neural networks. Deep learning differs from classical machine learning in the way that the models are trained and the amount of data required. Deep learning models represent one of the cutting edges of AI, and are capable of achieving accuracy beyond classical models.

Patient In an MRI Scanner CT: Head Slice 1 Anatomic Models (3D): Skull and Neck

Machine Learning can help build improved models of human disease and assist medical providers in diagnosis and treatment.