Driving Strategic Business Value with AI
By infusing AI into every aspect of your business, you can automate digital experiences, shape the future, empower people to do more creative work, and drive strategic business value.
At the core of AI lies data. At Cuelogic, we harness the gold mine of your data to derive the critical logic that fuels ML models. Our expert engineers build comprehensive AI logic that is designed to help you achieve your business goals and drive intelligence through data.
million requests per day
Petabytes data processed
Increase in qualified leads
live lead tracking
ML Pipelines with Cuelogic
Our industry-validated ML pipelines are composed of a series of ML models that operate in an orchestrated manner. The output of one model is connected to the input of the next model until the objective is achieved. Intermediate processing is done between models, orchestrated with the help of powerful tools such as Hadoop, Flint, and Spark.
Data Science: Building Models which Represent & Predict Reality
Cuelogic’s Data Science experts create algorithms to help you address challenges in the data pipeline, from ingesting data to creating visualizations and everything in between. Our experts take the steps of preparing, cleaning, and analyzing data keeping in mind the final ML model to be deployed as part of the ML pipeline.
As part of this, we write the code for generating and selecting the features that would play an important role in the ML model. For improving the speed of the model, we conduct dimensionality reduction to balance the number of features with the size of the dataset. Vectorization plays an important role in this process. By converting text/images/audio /video into vectors, we can fine-tune the features selected earlier. This is tied together with hypotheses testing, a robust statistical technique through which we test the validity of the hypotheses and see which hypotheses can be included in the ML pipeline.
Creating Datasets for Robust ML Models
This is why at Cuelogic, we use two more datasets to build a more robust ML model that will perform well on the test dataset. These two additional datasets are the Validation and Tuning Datasets.
Model Generation & Training
Get the Cuelogic Advantage
Personalized AI Consulting
Our tech and domain experts conduct personalized consulting workshops to gain an in-depth understanding of your business and technology needs. Based on this, we help you define objectives and create a roadmap for your AI journey. A blueprint about the entire project, including the roadmap, delivery schedule of each module, and prototype plans are charted along with the chosen features and functions to be included.
We integrate your AI-driven solutions across your existing systems and platforms. This implies a synchronized operational flow that saves time and increases efficiency. Our experts ensure that your current systems and processes face minimal disruption while the integration is being carried out. Cuelogic’s solutions go right into the mix and become a part of your daily operational routine.
Ensure that you can explain to senior stakeholders and regulatory bodies the mechanisms of how an ML model or neural net arrived at a certain conclusion. Do this through decision trees, random forests, and other techniques implemented by our engineers. We leverage sophisticated notebooks (such as Jupyter) and version control systems to get the series of steps of how an insight was reached.
Efficiently automate workflows so that data scientists can build and test the model and directly deploy it into an ML pipeline. Open up bottlenecks and put ML workflows into production by reducing friction between data science and operations teams. Allow data scientists to quickly explore and implement new ideas about feature engineering, hyperparameter tuning, and model architecture to build, test, and quickly deploy new components in a CI/CD pipeline.
All of our solutions are developed considering highly secure development practices that surpass the normal industry standards. We do not use Personally Identifiable Information (PII) in any dataset because our ML models look for generalized data. We anonymize data using data scrambling tools. Our specialists implement IP protection mechanisms, use active control lists, and provide selective role-based access to aggregated data.
We believe in automating everything, from infrastructure to processes and operations. This is why we use industry-validated, proven approaches to ML that can be modified as necessary to suit your particular business situation. This introduces efficiencies, reduces manual efforts, controls costs, and accelerates time to market.
When building products, we keep the user at the center of all product development needs. With AI-driven user behavior prediction, the CX is customized according to the needs of the end user. Making this even more powerful is a beautiful, feedback-rich, intuitive UI that helps users achieve goals in the fewest possible clicks.
Outcome-driven Product DNA
We develop superior, AI-enabled software products. Our expert engineers leverage technical thinking while keeping in mind the bigger picture and business objectives. Cuelogic’s management teams put the end user at the center of product development while developing customized approaches to building software. At the heart of our software products is a metrics-driven approach that focuses on outcomes and the value they deliver.
Lean Thinking & Agile Processes
We optimize resources for all software product development activities for you to get the maximum ROI. That’s why we follow transparent agile development processes with which we can release software faster while maintaining the focus on superior quality development, testing, collaboration, and stakeholder visibility.
We’ve Achieved Phenomenal Results For our Clients