AI Software Development


Our knowledge of AI
Natural Language Processing
BCD Apps develops real-time speech recognition and conversational AI software solutions that improve user experience.
Machine Learning
We have expertise in supervising, un-supervising, and enhancing machine learning, neural networks, and deep learning which allows us to make intelligent systems that make the best decisions with little or no human intervention.
Computer Vision
From biometrics and CCTV surveillance to live video analytics, we design advanced solutions that meticulously perceive and interpret visual information.
Our focus on AI Solutions
ML Models Based on Big Data
Big Data was used to training an ML model to clean, de-dupe, check for discrepancies, and analyze error patterns on over 30 million residential meter records.
Automation of Manual Tasks
Eliminate manual processes by extracting information from any document with the
optical character recognition (OCR) and data capture solution.
Health Observation Prediction
A deep learning model that uses symptomatic, physiological, and biological data to identify
patterns of deterioration in agiven patient’s health.
Vision Systems and Sensors
General purpose, High-Performance vision systems, sensors, cameras,and components to examine machine vision.
In-Process Inspection Machine
State-of-the-art dynamic vision system for quality control in the automotive industry.
Quality Control Machine
Inspection Machine for fast
quality control. Our quality control process all equipped with modern technology.
How we Process a Successful AI Implementation
We firmly believe that the road to successful AI and ML adoption is a long one and we materialize the following steps that will ensure the implementation of high-quality AI solutions.
Defining Use Cases
Our project begins by precisely defining the problems/challenges faced by an organization and we assist them to solve these issues by implementing AI.
Verify Data Availability
Once the use case is clearly defined, we put in place processes and systems that can collect and track the data necessary to perform the required analysis.
Defining Model Validation
Defining the performance measures helps evaluate, compare, and analyze the results of numerous algorithms to further refine a particular model.
Data Exploration
Perform data exploration to validate your assumptions and understanding of your data and ensure that your data tells the right story based on your expertise.