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

Artificial Intelligence presents many opportunities to transform your business. These are just a few examples of how our AI consulting and development services can increase business efficiency and improve your bottom line.

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.

Defining Model Building

Run tests to determine which variables or functions are more important to test hypotheses and improve performance. Ensure that domain and business experts are involved to provide feedback in order to build successful ML models.

Automation and Deployment

Once a model is built and validated, it goes into production. Starting with a limited rollout of a few weeks or months as business users provide feedback on model behavior and output. After that, it becomes available to a wider audience.