Generative Multimodal AI are pioneering the next chapter of AI, that self-learns from real-world data while explaining its decisions.

Co-Pilot for Enterprise

Our multi-dimensional neural network creates a real-world representation of knowledge where concepts are connected by semantic relationships.

AI Factory

Cognino removes the traditional AI adoption barriers. We offer an intuitive interface, offering standardised and modular drag-and-drop AI building blocks, and advanced programmatic and API interfaces, to make it accessible for users of all levels. You can leverage a comprehensive vertical library of trainable deep learning building blocks to create reusable, scalable, and customisable AI solutions. That’s how we make AI accessible.
You don’t need to be a data scientist to work with Cognino, but we do offer more sophisticated modules for AI researchers.

Drag & Drop UI

Wizard Base Training

Modular AI

API Interfaces

AI Platform – Learn from ANY data

Transform messy, incomplete, and unstructured raw data from a variety of sources into actionable and elastic learning resources. We automatically aggregate different models to amplify training and runtime performance. By doing this, we save you time.

Multi Source

Data Transformation

Any Data

Any Model

AI Cloud, AI Appliance, AI-Edge

Deploy Cognino anywhere using our pre-designed AI cloud for optimum performance. Simplify model creation, training, testing, deployment, maintenance, and management via an integrated and containerised AI platform that can run on any hardware, any cloud, and in any environment. Optimise and balance model training and serving across multiple computing (CPU and/or GPU) nodes dynamically.

Multi Cloud

On Prem

AI In A Box Appliance


Our Technology

Explainable Neural Network

We have developed a multi-dimensional Neural Network that can scan, comprehend and act on multiple instances of any type of dataset whilst creating context and purpose along with self-learning.

Neural Sense

Cognino’s Intelligent Scanner works to find only relevant and specific information, then creates the foundational pathway to build knowledge by dynamically extracting only important data.

Neural Weaver

Cognino’s Neural Weaver is a unique approach to Neural Network knowledge creation. The Neural Weaver scans through any data while creates dynamic context, sub-context, information class, and type along with the purpose.

Pattern and Prediction

Cognino engines finds patterns and predicts insights on the basis of semantic understanding and relationships using context and purpose.

Elastic Learning

Cognino’s continuous self-learning capability adapts in response to new data whilst retaining its learned information in the long-term memory.

Co-pilot For Assistive Training

Our unique co-pilot wizards bring the power of AI to the domain expert by automating the process of building an AI through training, self-learning and re-enforcement learning techniques.

Advance NLP

We have a number of breakthrough NLP technologies that can understand the purpose and context, and learn from large comprehensions, not just simple sentences.


Our Neural Network driven summarisation creates dynamic summary from a large set of texts for contextual decision making.

Personalisation and Recommendation

Our state-of-art deep learning recommendation model can personalise and recommend insights from a large set of data, based on the requirements of the user.

Technologies we work with

We work with best-in-class global technology partners to amplify the value of our Cognino platform. Although platform agnostic, we fully support and integrate with all AI services and APIs offered by Microsoft Azure, Amazon Web Services (AWS) and Google Cloud Platform (GCP) and IBM Cloud. Our AI experts can tailor a bespoke solution to build your own Intelligent Core Platform, leveraging and amplifying all cloud based cognitive services.

Leading edge AI engine that understands context by learning causal connections within data, resulting in unparalleled speed and accuracy

Technology page - AI + Context use cases