Do more with your data

We believe there is a better way to do cognitive. A more valuable, less obtrusive way where insights are sharpened rather than ballooned. We’re obsessively passionate about cognitive, and our mission is to help people achieve it. We focus on deep learning. It’s one of the least understood and least talked about aspects of a great company in 2019, and we see that as an opportunity: we’re excited to simplify cognitive for everyone through our software, education, and community.


Our Services


Natural Language Processing

Extract important insights from language data in many forms.

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Machine Learning

Use neural nets and decision trees to analyze multiple variables

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Optimization and Evaluation

Cross validation, hyper parameter tuning, LightGBM, t-SNE

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Data Analytics

Data profiling, Normalization, Mining, Data Augmentation

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Why Keagan.ai

Pre-made tools only get you so far. We take pride in understanding the reality of your situation, culture, business conditions, and existing tool set to build tailored solutions that dovetail with your organization and customers. Competitive advantage comes from doing something different; that’s what we deliver.

You may have a vague notion of what you want to build or what you want the tool to do. We’ll help you make that data science pipe dream a reality in small, incremental, cost-effective steps. The resulting tool will be tailored to your use cases to give your organization a true competitive advantage over your peers. We include you and your team in the process so that everyone is confident we’re solving the right problem.





10%
Today, less than 10% of enterprise IoT projects have an AI component.


$2917B
In 2021, AI augmentation will generate $2.9 trillion in business value and recover 6.2 billion hours of worker productivity.


80%
By 2022, more than 80% of enterprise IoT projects will have an AI component.



WHAT WE DO


Collect, explore, and Transform

You need a solid foundation for your data before being effective with AI and machine learning.

Predictive analytics

Leveraging predictive analytics to identify challenges and opportunities before they occur.

Optimization Algorithms

Developing custom optimization algorithms to maximize efficiency and profitability.

Reporting and Analysis

Display inferential statistics to identify actionable business insights and complex causal systems.


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