Innosential X-Labs focuses across different Horizontals of AI.
Our Five Pillars of Innovation are Decision Sciences, Language Technologies, Vision and Perception and Audio Understanding
Our Vertizontal AI Approach
- We are a Vertizontal AI company with expertise across four key horizontal areas: decision sciences, vision and perception, language technologies, and audio analytics.
- Our expertise in these areas allows us to provide a comprehensive suite of AI solutions and services that can be tailored to the specific needs of clients across different industries.
- We have experience working with clients in a variety of industries, including BFSI, healthcare, manufacturing, and others, and can leverage this experience to create customised and effective solutions for your organisation.
- Our deep knowledge and experience in each horizontal area allows us to create AI solutions that are customised to your specific needs and challenges, and that deliver real value and impact to your organisation.
- Overall, our Vertizontal AI approach and expertise allows us to provide a wide range of AI solutions and services that can help you solve complex problems, make better decisions, and achieve your business goals.
Where Are You In Your AI Journey ?
We create a customized implementation strategy for you based on where ever you lie in your AI implementation cycle.
The approach – Our eX3 Framework
- Our EX3 approach is focused on extracting business value quickly by iterating between exploration and exploitation.
- To achieve this, we use a combination of MLOps and AutoML-based frameworks for automation and decision support needs.
- By leveraging these frameworks, we are able to quickly explore new data and models, and then deploy the most promising ones in production for exploitation and value generation.
- Throughout this process, we focus on minimising the time and resources required to extract value, while also maintaining a high level of accuracy and precision in our models.
- Overall, our EX3 approach is designed to help our clients accelerate their AI journey, while also ensuring that they are able to extract maximum value from their data and models, quickly and efficiently.
We Help You Pick Your Solution
- Do you want to Improve your tactics to automate your operations: Dynamic Pricing, Recommender Systems, Fraud Detection, Document Understanding, Automated Bidding for Digital Marketing, Conversational AI.
- Or You want Strategic Data-Driven Decisions Using AI: Forecasting, Supply Chain Optimization, Customer Intelligence, Predictive and Prescriptive Analytics.
Our MLOPS Framework
- Our MLOps framework is based on AutoML, allowing us to quickly and efficiently find the best model for your specific needs.
- We offer quick solutions to deploy your model either in your preferred cloud or on edge devices, depending on your requirements.
- Our framework includes a monitoring platform that allows you to visualize your infrastructure and model performance, and detect any drifts in your model over time.
- We also provide tools to help you explain your model's predictions and ensure transparency in your AI systems.
- Finally, our intelligent model router allows ML engineers to automatically AB test multiple models, helping you to continuously improve your AI solutions over time.
Our Technology Stack
- Our technology stack is designed to be flexible and cloud-agnostic, allowing us to work with a wide range of cloud infrastructures based on your preferences.
- For data processing, we use Kubernetes-based Spark, which allows us to efficiently extract features and process large amounts of data in a distributed and scalable manner.
- Our ML workloads include both model training and inference, and are based on the Ray distributed computing framework, which is designed specifically for machine learning and other AI workloads.
- Together, these technologies provide us with a powerful and flexible platform for building and deploying end-to-end AI solutions, from data processing and feature extraction to model training and inference.
- Overall, our technology stack is designed to be highly adaptable to your specific needs, and to provide you with the performance, scalability, and flexibility you need to succeed in the fast-moving world of AI.
OUR ECOSYSTEM
Optimised by Machine Learning
AI Lab Smart City combines these core features and capabilities to create an ecosystem that is optimised by openness. With flexibility between vendors reducing the risks propriety solutions may present, the openness of platform means that opportunities are unlocked and freedom of choice enabled.
Insights
The Ki. ecosystem transmits and receives data securely via OTAA, using 128-bitsecurity keys. Supported by TALQ 2.0 and LoRaWAN Class C.
Communications
Interrogate various data sets securely, via a cloud based central repository. Analyse urban data based on unique smart city goals
Enabling Hardware
Better understand the measures to take in order to shape the behaviour and development of smart cities
