As an AI Software Development Company, we will help you harness machine learning algorithms and the latest artificial intelligence tools and technologies for exponential growth.
We are committed to pairing endless capabilities of machine learning and your business goals. Our services bring years of combined experience to build AI-powered software.
Applying our expertise in supervised, unsupervised, and reinforcement machine learning, neural networks, and deep learning, we build smart systems that make the best decisions with little to no human help.
Natural Language Processing
We build real-time speech recognition and conversational AI software solutions that drive user experience way forward.
From biometric authentication to CCTV monitoring and live video analysis, we develop sophisticated solutions that accurately recognize and interpret visual information.
Artificial intelligence has many possibilities to transform your business and just a few examples of how our AI consulting and development services forward business efficiency and improve the bottom line.
Big Data driven ML models
Utilised big data for training of the ML models to cleanse, remove duplications, check mismatches and analyse error patterns within the 30 million plus utility household meter data records.
Manual task automation
Optical character recognition(OCR) and data capturing solutions for extracting information from any documents to eliminate manual processes.
Health insights prediction
Deep Learning models that recognise the health deterioration patterns of a particular patient using symptom, physiology and biologics data.
Vision Systems and Sensors
General purpose, powerful vision systems, sensors, cameras and components for machine vision inspection.
In-Process Inspection Machines
State-of-the-art dynamic vision systems for quality control in the automotive industry.
Quality Inspection Machines
Inspection machines for high-speed quality control.
We strongly believe a road to successful AI and ML adoption is a journey and the following steps ensure we implement high-quality AI solutions.
Define use case
Our project starts by clearly defining the problem or challenge we are helping the organisation to solve by implementing AI.
Verify data availability
Once the use case is clearly defined, we ensure the processes and systems in place are capable of capturing and tracking the data needed to perform the required analysis.
We undertake a data exploration exercise to validate data assumptions and understanding ensuring data is telling the right story based on the subject matter expertise.
Define model building
We run tests to determine which variables or features are more significant to validate the hypothesis and improve execution. We ensure domain and business experts are involved to provide continuous feedback to create a successful ML model.
Define model validation
The definition of performance measures assists in the evaluation, comparison and analysis of results from multiple algorithms and help to further refine specific models
Automation and deployment
Once the model has been built and validated, it is then rolled out into production. Beginning with a limited rollout of a few weeks or months, upon which business users provide continuous feedback on the model behaviour and outcome, it can then be rolled out to the wider audience.
Evaluate and Refine
Once a model has been published and deployed for use, it is continuously monitored as, by understanding its validity, an organisation will be able to update the model as required.
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