Leverage the full potential of
AI to maximize business outcomes
Make data your secret weapon by gaining insights into your business and making better decisions. We use on-premise and cloud infrastructure, along with the latest AI tools, to tailor data solutions to your needs.
Discover Technologically Advanced Solutions Suitable For Your Business
At Booleandata, we help enterprises maximize the value of complex data ecosystems with advanced Data Science, AI, & ML services. We provide consulting, engineering, and software solutions covering the entire data application and management spectrum.
Our machine learning expertise includes supervised, unsupervised, and deep learning capabilities. We will help you choose the right algorithms & realistic models best suited for your problem.
Key Partnerships
Additionally, We Work With
Why Boolean Data?
Make Better
Decisions
We help you demonstrate the value of the institution’s data to facilitate improved decision-making processes across the entire organization, through measuring, tracking, and getting insights from data.
Efficiency and productivity gains
We will enable you to minimize costs associated with mundane, repeatable tasks that can be performed by technology while maximizing the talents of your human resour.
Automation
We help you eliminate repetitive business processes, particularly those that do not depend on human judgment and can be replaced with faster and more efficient software.
Experts in
the industry
Our inter-disciplinary mix of computer science experts and data scientists can help design and implement new algorithms in cases where none of the existing libraries suffice.
How will Our Services Benefit you?
We will work collaboratively with your subject matter experts to choose the right AI services and accelerators and build customized AI solutions geared towards your particular use cases.
We guide you through the entire process, working closely with your company, its challenges, strategy, and any questions you may have. Let's look at some of the fields we can help your business with:
Data Science
Extract knowledge and insights from noisy, structured, semi-structured, and unstructured data, and apply actionable insights from data across a broad range of application domains.
Natural language Processing (NLP)
By combining our strong machine learning skills with our expertise in entity extraction, sentiment analysis, and topic modeling, we are able to develop NLP applications that improve process efficiency, customer experience, and retention.
Computer Vision & Audio Analysis
Leverage signal processing and deep learning to capture deeper insights into your image, audio, or video data. Face detection/authentication, emotion analysis, text extraction, image captioning...these leading use cases that fall right within our expertise.
Cloud AI Services
Streamline and accelerate the ML model development and deployment process by using both real-time and batch data processing. AI/ML use cases and various cloud-based machine learning techniques such as AutoML, Hyperparameter Optimization, and Bot Services.
The Boolean Workflow for Implementing Data Science Solutions
Data Discovery
We start by building a high-level understanding of your company and its business domain. Then we define the business problem and identify data sources.
Data
Preparation
The most labor-intensive step involves preprocessing data based on the analysis requirement. Data is checked for missing values, inconsistencies are deleted, and datasets are normalized so they can be explored.
Data Exploration
During this stage, we develop an intuition for the data, identify important variables and their relationships, detect outliers, check assumptions, and choose appropriate modeling techniques.
Data Modeling
Based on the insights from EDA, we develop models—from simple regression to deep learning. After multiple iterations, the most suitable model is created. These models are then validated and approved by our domain experts.
Communication
Based on the insights from EDA, we develop models—from simple regression to deep learning. After multiple iterations, the most suitable model is created. These models are then validated and approved by our domain experts.