Capabilities
Brand Data Lab provides end-to-end solutions that help clients reduce the overall cost and increase revenue by improving their processes and product offerings.
Natural Language Processing
Interactive automated conversations (chatbots)
Information extraction and summarization
Sentiment analysis
Similarity detection
Computer Vision
(Image Processing)
Object detection
Face recognition
Image classification
Video analysis
Advanced Analytics
Better predictions & forecasting
Smart recommendation system
Pattern recognition
Anomaly & fraud detection
Speech Recognition
Custom voice assistant
Voice-based navigations in application
Speech to Text
Voice based command to extract data
Technology Stack
FullStack
Cloud – Microsoft Azure
Cloud – AWS
AI / ML / DL
Cloud – Google (GCP)
Data Engineering
Brand Data Lab Edge
We provide our clients with unified solutions to all their data extraction, integration, and analytical needs. We build industry-leading visual interfaces for the C-Suite to analyze trends, offer insights and predictions, and help them in planning and decision making.
AI gives real-time insights to drive meaningful change and help capture the maximum dollars possible while delivering a good patient experience.
Our historical data predicted fluctuations in patient volumes and aligned staffing recommendations. These recommendations were given days ahead of time to ensure that hospitals had adequate time to meet rising patient demand and secure quality of care levels.
To address fatigue, machine learning alerts doctors to anomalies in scans and flags possible diagnoses for doctors to review, saving doctors valuable time in the review process.
Our automation has saved on cost by reducing labor hours. Directing customers to the information they need faster, improved customer satisfaction and decreased churn.
Elimination of manual data entry offered a way for revenue cycle leaders to lift that burden from staff, allowing them to direct their focus to more high valued tasks.
Applying machine learning to the decision-making process gives revenue cycle leaders a way to balance their decisions against larger volumes of data than previously possible, leading to a wealth of insights and new opportunities previously out of reach on a manual scale.
This technology has led to expanded data analysis and increased insights into businesses.
AI’s “intelligence” effectively addresses the most pressing revenue cycle management issues, such as prior authorizations, claim status checks, and out-of-pocket cost estimates, while getting the information that needs human intervention to the right person at the right time.
Our team comprises the best in the industry, across all domains.
Our common-sense decisions based on mathematical models and specific customer-oriented products & strategies help reduce project management cost by 25-35%, and project execution time by nearly 40%.
Our end-to-end quality management system can help mitigate risk in the supply chain.
Our client has experienced an immediate benefit of over 10% to the bottom line.
Our AI-driven intent-centric ‘what-if’ analysis system for scheduling optimization can save 20% on OPEX costs.
Considers multiple factors simultaneously, accounts for personal preferences, can handle last-minute surprises, and recommends the best alternate solutions in less than 5 seconds.
An AI / ML tool that is prepared for disruptions. It always has alternate plans and manages to schedule under multiple and diverse constraints.
Handled route optimization, and provided pro-active, efficient scheduling to save resources. Achieved 15% savings on OPEX costs.
Work with an engineering and legal team that is experienced and proven to generate IP and manage it.
They can identify and help secure various patent possibilities, to make you a market powerhouse and provide a barrier to competition.
Deploy the best of NLP and AI to capture and decode facial expressions, eye movement, real-time interactions, and survey attitudes.
Measure subconscious emotional responses of your audience, to ensure not a single advertising dollar is wasted.
Demographic fragmentation based on end-use complexity of a product.
Recorded over 20% increase in sales of certain products, simply by changing the aisle placement in supermarkets.
A 20-30% drop in manufacturing costs, by redesigning products or manufacturing processes.
We combine the power of topology optimization, biomimicry, and compliant mechanism design.
The AI-based system helped achieve over 40% improvement in water recycling efficiency and an 81% reduction in the solid waste generated during the process.