Our Expertise

Our Capabilities

Teknuance focuses on thriving domains of technology like Robotics, Natural Language Processing and Machine Learning. We build technology solutions to resolve challenges faced by various industries such as Banking & Finance, Healthcare, Sales & Marketing Industry. While maintaining our focus on core sciences, we extend our research towards domains required for our innovative capabilities. Aside from our core competencies, we are also continuously upgrading our knowledge assets in advancing technologies; both hardware and software. We envision that our products will transcend the current technology space into newer dimensions.

Cognitive Intelligence

Understanding human minds can be complicated, but if monitored well, can lead to considerable benefits to the business. This requires techniques that allow companies to understand how users process information and make decisions. This is one of the key factors that many businesses have failed in, leading to closure.

The act of mastering these techniques certainly needs Cognitive Science to play a vital role. The subject of Cognitive Science has crafted out ways to effectively understand user minds with the help of pattern recognitions.

Pattern recognitions being an important aspect, enables businesses to understand customer patterns and regularities of their behavior, which then helps in making firm decisions on how to approach them. Understanding this process as a layman, means transforming your knowledge to a machine that will understand and reason in the same way as you do, above all, performing such functions more accurately and intellectually.

In today’s digital age, companies are required to process large volumes of human geared data. Understanding customer minds, relationship management or strategic thinking is possible only with human-like machines, which have proven to be as efficient and consistent as humans. They are also able to handle the volume of data garnered by organizations faster and with less error.

Synthetic Intelligence

The world is awash with technologies that can mine and process data at mind-numbing speeds. But, even with Enterprise Performance Management and Business Intelligence Platforms in place to process our data, the need to find the right balance in the dynamics of performance, durability, long term viability, stability and the overall marketability of the technology becomes necessary for end users.

Despite the variety of options available in the market, most of them have unsustainable limitations – they are non-cognitive and prone to technological backwardness due to rapid advancement in technology. There is no dearth of applications that mimic lower level decision making thought processes intended to collate information for a human to process and proceed with.

Most technologies are only able to handle reasoning, problem-solving and abstract thinking only to a limited extent due to the difficulty in breaking down the cognition required to handle said tasks. Comprehending complex ideas and learning from experience is an innate human capability that we strive to impart to machines today so that we may delegate data processing to them.

Our long term research in areas of Synthetic Intelligence and Cognitive Science focuses on the delivery of intelligent applications which can mimic human thought processes, thereby elevating our capabilities to artificial speeds. The unique cognitive responses streamline knowledge-driven processes optimally.

Artificial Intelligence

Communications between machines and humans have become easier today than it was decades ago, where complete human interference was needed to operate machines. This involves complex programming, giving every detail to the machine, giving it human attributes of understanding and knowledge and also giving it a brain of its own to learn more.

Thus, Artificial Intelligence involves the developing of mechanisms that are smart, intelligent and can operate and reason just as humans do. These machines are coded to understand other machines / robots and also understand humans. Technology today has evolved on multiple fronts in order to allow this phenomenon to be possible.

On one end, you have the processing of input in the form of text, speech, images and videos in order to catalogue and break down information that is being fed to a system. Research into speech recognition, image recognition and natural language processing though still in its adolescence has spearheaded applications of all natures from social media add-ons to reactive chat bots that handle customer service requirements.

On the other hand, you have semantic and sentiment analysis which adds context and personality to these tools thereby making them less artificial and therefore more acceptable to the human psyche. With the increasing demand for multi-tasking machines, companies are thus looking to meet this demand with developing smarter and intelligent programs.

Data science

In an increasingly digital world, the importance of data cannot be overemphasized. Mobile devices, the web and other web interactive platforms have become the serving plates for raw and analyzed data of all forms to anybody willing to take a bite. Coupled with the advent of Big Data, it has given rise to research in data mining and machine learning which provides an avenue for machines to identify patterns in large data sets and learn to analyze compiled data independently.

All these invariably have led to the implementation of Data Science into the study of Artificial Intelligence where its theories on data set recognition and analysis can be put to practical use. At the end of the day, Data Science is about generating business value for the organizations that are willing to invest in it. It is the synergy of Mathematics, Technology and Business Strategy working to create insights from data at its granular level.

Data Science is now an important facet of Business Decision Making. Understanding organizational data and generating insights from it is the key focus of the Data Scientist. In order to facilitate knowledge driven decision making, data-driven insights will have to be created first in order to support the validity of organizational strategies.

Enterprise Performance Management

To keep the flagship hoisted high, it is imperative for the organizations to not only constantly monitor and measure performance - but also to quickly apply generated tactics to stay successful and gear up towards future demands. These tactics allow the ability to transform organizations to a ‘Fully aware state” and make them sensitive to internal and external indicators and also make them responsive in applying determinant rules to create a rapid dynamic and concise decision formation process.

In order to deliver these capabilities, the principles of Cognitive Science and Synthetic Intelligence such as the human ability to receive, perceive and process information by applying cognitive reasoning, determination and decision-making abilities based on logical, philosophical, and scientific functions & methods have to be implemented to computers and machines.

With business dynamics requiring more user-specific services, the importance and effectiveness of Enterprise Performance Management applications cannot be undermined. This is why the Enterprise Performance Management market is worth over $2.2 billion and an annual growth rate of 4.8%.


Robotics has well emerged as a high-end technological objective that is enormously lucrative if engineered ingeniously. Staying up-to-date with today’s fast paced life; top engineers are continuously developing prototypes for various purposes which then transform to successful high-tech products. Robots are mainly stereotyped to be replacing people and their work, but the fact is that autonomy levels of a robot are still relegated to the human hand.

Objects are given real life attributes so that it can substitute human beings in dangerous environments. This is just one of the many ways in which they actually help in real life to solve complex problems, making it easier for humans. Every single day makes history with the launch of some type of robot. There are over millions of robots present today, undoubtedly replacing difficulties that humans face, and again it is with no doubt that the future looks “amazing” with such advances.

The goal in future is to enable human-robot collaboration in order to advance science and human life to unprecedented territories as envisioned by the greatest fictional minds in history. Perhaps we may all have our own personal Jarvis some day to make day to day life easier to handle.