About Clarida Artificial Intelligence Solutions

Clarida Artificial IntelligenceTM (AI) is a sofisticated AI and Machine Learning software suite developed and offered by Clarida Technologies Ltd. available to organisations of any size. Drawing on more than 10 years of experience in advanced data analytics, we intend to offer this knowledge and experience to organisations for whom data analytics and especially AI is a mysterious field. We make AI accessible to organisations that do not have an entire team of data scientists available to them.

We demistify the use of Artificial Intelligence tools and make them available to the masses. Instead of selecting one core AI/ML technique and develop a product around that, we offer our clients more flexibility and individuality.

We offer the Clarida AI Benchmarking product where organisations can use their own data and test out the performance of 30+ preconfigured AI/ML systems. The best performing system will then be selected for the specific needs of the organisation allowing each organisation and each datastream within that organisation to determine which system works best in a specific situation.

Clarida AI Benchmarking Study

Instead of offering organisations just one AI/ML system based on our own beliefs of what might yield the best results on average, we just let more than 30+ AI systems decide this for us.

We offer the advanced Clarida AI Benchmarking study where we will load in your own selected data and let 30+ AI systems ingest the data. Once all systems finish their job, you will receive the performance metrics of each system. Having these metrics available to you will make it easy for you to decide which system to select for this specific datastream and for your specific organisation.

Not only is this saving you a whole lot of time that would otherwise have to be allocated towards hiring talented data-scientists who subsequently have to start developing an AI system from scratch, not to mention develop 30+ systems. We stand for the democratization of AI and making it accessible to the masses. In order to achieve this goal we made sure to make our Clarida AI Benchmarking Study affordable, get in touch to find out exactly how affordable.

Clarida AI Systems

In this section you can find a non-exhaustive overview some of the AI techniques we use. If you would like to learn more about one or several specific techniques, don't hesitate to let us know. Note that we run all of these AI systems during the Clarida AI Benchmarking Study to determine which one answers best to your specific needs.

  • Support Vector Machines
  • Multi-layer Feedforward and Recurrent Neural Networks
  • Random Forests
  • Multiple Additive Regression Trees
  • Collaborative Filtering
  • Rotation Forests
  • Linear Discriminant Analysis
  • Radial Basis Function Networks
  • Restricted Boltzmann Machines
  • Hierarchical Clustering
  • Gaussian Mixture Models
  • Density Estimation Trees
  • Euclidean Minimum Spanning Trees
  • Hidden Markov Models
  • Kernel Principal Component Analysis
  • Decision Stumps
  • Decision Trees
  • Locality-sensitive Hashing for Approximate Nearest Neighbor Search
  • Logistic Regression
  • Max-kernel Search
  • Naive Bayes Classifier
  • Nearest Neighbor Search with Dual-tree Algorithms
  • Neighborhood Components Analysis
  • Non-negative Matrix Factorization
  • Principal Component Analysis
  • Independent Component Analysis
  • Range Search with Dual-tree Algorithms
  • Rank-approximate Nearest Neighbor Search
  • k-Means Clustering
  • Least-angle Regression
  • Genetic Algorithms
  • Linear Regression
  • Local Coordinate Coding


Flexibility to suit the needs of Small to Large organisations

Realizing the varying needs between small and large organizations, we offer suitable options no matter what your specific needs are. Get in touch with us to find out more about our flexible pricing scheme.

Have a question?

We'd love to hear from you, why not try one of the following ways:
EMAIL: info@claridatech.com
PHONE: +44 203 5144 631
ADDRESS: Regent Street 207, London, United Kingdom

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