What we can do
AI and Machine Learning
From concept to implementation, we help companies put AI to work. Whether it’s building a new AI algorithm to power autonomous vehicles or building AI that could outperform humans in certain functions, we have the skills and expertise to deliver cutting-edge solutions.
We’ve created some of the leading AI products on the market today from the latest deep learning models to natural language processing (NLP). We help you bridge the gap between business needs and technical implementations. We can help you build your AI solution or AI-enabled application from ideation to scaling phase.
Data Science and Analytics
We offer end-to-end data science and analytics service from formulation of strategies to implementation, deployment, scaling and support.
Data Storytelling
Your data has a story to tell. Let us give it a voice. We help our clients with visualization and dashboarding so they can make data-driven decisions. We help you leverage data to improve your services, products, and processes.
Data Engineering and Architecture
We provide data acquisition and enrichment services to help build and improve your machine learning models at scale. We understand that machine learning models are only as good as their training data.
Data Acquisition and Enrichment
We provide data acquisition and enrichment services to help build and improve your machine learning models at scale. We understand that machine learning models are only as good as their training data.
Data Ingestion
We help you acquire raw data from multiple data sources or generate synthetic data to train your machine learning models. We obtain raw data and convert it to a format that can be easily manipulated depending on your use case.
WHAT CAN GENERAL AI DO?
General AI is very different, and is the type of adaptable intellect found in humans, a flexible form of intelligence capable of learning how to carry out vastly different tasks, anything from haircutting to building spreadsheets, or reasoning about a wide variety of topics based on its accumulated experience. This is the sort of AI more commonly seen in movies, the likes of HAL in 2001 or Skynet in The Terminator, but which doesn't exist today – and AI experts are fiercely divided over how soon it will become a reality.
WHAT CAN NARROW AI DO?
There are a vast number of emerging applications for narrow AI: interpreting video feeds from drones carrying out visual inspections of infrastructure such as oil pipelines, organizing personal and business calendars, responding to simple customer-service queries, coordinating with other intelligent systems to carry out tasks like booking a hotel at a suitable time and location, helping radiologists to spot potential tumors in X-rays, flagging inappropriate content online, detecting wear and tear in elevators from data gathered by IoT devices, generating a 3D model of the world from satellite imagery, the list goes on and on.
New applications of these learning systems are emerging all the time. Graphics card designer Nvidia recently revealed an AI-based system Maxine, which allows people to make good quality video calls, almost regardless of the speed of their internet connection. The system reduces the bandwidth needed for such calls by a factor of 10 by not transmitting the full video stream over the internet and instead animating a small number of static images of the caller, in a manner designed to reproduce the callers facial expressions and movements in real time and to be indistinguishable from the video.
However, as much untapped potential as these systems have, sometimes ambitions for the technology outstrips reality. A case in point are self-driving cars, which themselves are underpinned by AI-powered systems such as computer vision. Electric car company Tesla is lagging some way behind CEO Elon Musk's original timeline for the car's Autopilot system being upgraded to "full self-driving" from the system's more limited assisted-driving capabilities, with the Full Self-Driving option only recently rolled out to a select group of expert drivers as part of a beta testing program.