We live in a world of information, where the amount of data increases faster than the ability to analyze it. The speed of the technology development has grown considerably, making it challenging to follow all the new inventions. A well-informed person is someone who can efficiently navigate through the information jungle, having the ability to find relevant information, catch new trends, and continuously learn new things, which are essential nowadays in the business world. Competitive intelligence is what you need for an efficient and smart management of your company.

Having the knowledge about discoveries and paths of the technology development is fundamental to survive in the market. To avoid other patent infringement and look for innovation, it is required to know and analyze the competition. All the industrial companies must be aware of the latest inventions, and for that reason, technology watch is necessary. However, due to the vast number of resources to analyze and digest the information, this tool became expensive and only available for multinational enterprises.

To help smaller companies, we have created a smart algorithm that has lowered the cost of gathering data, analyzing only the relevant information for businesses, enabling strategic making decisions to be based on competitive intelligence through an affordable and efficient tool. The matching algorithm searches for technology easier and faster, being able to understand the fields you are working on and giving you just the information that matches your interests.

As an added value of solutions for general competitive intelligence focusing only on competitors, we provide a better technology and patents ready for licensing. Taking this further step into product development boosts the R&D capacity of small and medium enterprises.

Our proprietary algorithm also takes into consideration the value of an invention and the level of a patent based both on the pre automated analysis of a patent’s claims and the assessment’s value of a consultancy. This is done in traditional methods used by IP attorneys and investors (discounted cash flows, etc.) to give the best matching results. Searching for the new inventions using our algorithm is more effective. It will prevent companies from missing an important information in the set of irrelevant documents.

Patent

Why do we need a patent?

What is a Patent?

A Patent is an official document which contains an invention disclosure and gives the right, granted by the government, to exclude others than the inventor from using, manufacturing or selling the said invention for generally 20 years.

What rights does a patent provide?

A patent owner has the right to determine who may or may not use the patented invention for the period in which the invention is protected. In another word, patent protection means that the invention cannot be commercially manufactured, used, spanned, imported, or sold by others without the patent owner’s approval.

How are patent rights enforced?

Patent rights are usually enforced in a court on the action of the right owner. Usually, in most systems, a court of law has the authority to give over patent violation. However, the main responsibility for observing, describing, and taking action against infringers of a patent lies with the patent owner.

What does it mean to license a patent? and why is it done?

Licensing a patent simply means that the patent owner donates permission to another individual/organization to make, use and sell his/her patent invention.

This takes place according to the agreed terms and conditions, for a defined purpose, in assigned territory, and for an agreed period.

A patent owner may grant a license to a third party for several reasons. The patent owner may not have the necessary manufacturing facilities, for example, and therefore prefers to allow others to make and sell his/her patented invention in return for royalty payments. Entering into a licensing agreement can help to build a mutually-beneficial business relationship.

What happens if I don’t patent my inventions

If you don’t patent your invention, competitors can take advantage of it. If the product is successful, many other competitor firms may well use same product without needing to ask for your permission. Larger enterprises can take advantage of economies of scale to produce the product more cheaply. That reduce your company’s market share for that product. Even small competing enterprises may be able to produce the same product and sell it at a lower price.

Competitive Intelligence

Competitive Intelligence in Businesses

In todaya’s world, it is necessary to know where and with whom you are competing against, how to direct the company’s path, and maintain your competitive advantage. One of the most effective methods to collect this information is through commercial intelligence or competitive intelligence. In this section, we will explore this topic and its applications.

What is Competitive Intelligencea?

Competitive intelligence (CI) is the act of determining, gathering, analyzing, and sharing knowledge about products, customers, competitors, and any aspect of the conditions required to sustain executives and managers in strategic decision making for an organization. This process expands a business competitiveness in the market since it provides knowledge of our competitors abilities and our clients needs. Furthermore, it facilitates decision making, supports strategic planning and the corresponding marketing strategies.

Its Objectives:

Competitive intelligence has four main goals:

Develop competitive positioning and, consequently, a company’s profitability.
Support company’s decision making in tactical actions as well as in long term strategies.
Establish early-warning mechanisms for market changes, enabling companies to act instead of reacting.
Identify market trends.
Research Development and Innovation (R+D +i) Objectives:

Choose
- Right areas to focus on
- Detect the latest inventions on-time.
- Decide what RD projects can be sourced out (not invented here) and multiplying RD capacity

The competitive intelligence system is imprescriptible and methodical by nature. Therefore, we suggest that the person in charge of it needs to have access to adequate resources and given support, being able to regulate the analysis of the key information, as well as bringing the reports and the information to the decision makers.

Artificial Intelligence

Superpower: Artificial Intelligence

Artificial intelligence (AI) is the capability of a computer program or a machine to think and learn. It is also a field of computer science, which emphasizes the creation of intelligent machines that work and react like humans. Basically, the concept of artificial intelligence was based on the World War II, and it has become a necessary part of the technology industry.

Research associated with artificial intelligence is highly technical and specialized. The core issues of artificial intelligence include programming computers for certain traits such as:

Knowledge
Reasoning
Problem solving
Perception
Learning
Planning
Ability to manipulate and move objects

Robotics is also a primary field related to AI. Robots need intelligence to handle tasks such as object manipulation and navigation, along with sub-problems of localization, motion planning, and mapping.

What can we observe as its parts?

Knowledge engineering is a core part of AI research. Machines can often act and react like humans particularly if they have abundant information related to the world. Artificial intelligence must have access to objects, categories, features, and relations between all of them to implement knowledge engineering.

Machine learning is another core part of AI. Learning without any supervision needs an ability to analyze patterns in streams of inputs, whereas learning with adequate supervision involves classification and statistical regressions. Classification determines to which kind the object belongs to and regression deals with obtaining a set of numerical input or output examples, thereby discovering functions allow the generation of suitable outputs from respective inputs. Mathematical analysis of machine learning algorithms and their performance is a distinct category of theoretical computer science often mentioned as computational learning theory.

Machine perception deals with the ability to use sensory inputs to deduce the different aspects of the world, while computer vision is the power to analyze visual data with a few sub-problems such as facial, object and gesture identification.