DNA Strand

A step closer to general Artificial Intelligence

We develop artificial intelligence algorithms and software that aims to improve upon and address some of the weaknesses of the current state of artificial intelligence deep learning models. Our algorithm uses a series of seven parent processes to sort, manipulate, and abstract data in a manner that gets us a step closer to true general artificial intelligence.

We are currently developing software in the legal technology space to help in-house counsel assess and manage risk using our new and innovative AI algorithms to automate high intelligence.



 Supreme Court


Intelligent algorithms that inform you of your risks and help you become profient in any practice area quickly.



Fucitech crawls your network, the web, and asks you questions to provide you with a live and detailed risk assessment with citations to the relevant case, statute, regulation, or secondary guidance. Fucitech will inform you in red if there is a practice area or matter that needs your attention. Fucitech will also provide alerts if a law changes that effects your business. By clicking the bubble you can see the specific matter or issue that needs attention.

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Available August of 2022!


It takes years to become an expert in a particular practice area. In house-counsel are expected to know it all and usually have to pay high fees to outside counsel or use up precious time researching the relevant authority for a particular issue. With Fucitech Legal Explorer, you can view an entire practice area in an organized chart with access to the text and language by simply clicking on a bubble, allowing you to save precious time and have a quick and comprehensive understanding of the legal landscape relevant to your issue.  

  • Statutes, regulations, secondary guidance, and cases all in one place.

  • Search by practice area, keyword, or question in natural language. 

  • Zoom in or out to view details and specific text and excerpts. 

  • All legal information organized by authority traced back to the US constitution.

  • Click on a connective line to see how the authority is related to the one it is connected with 

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the seven processes of Fucitech's brain.

The unique components of the human mind that make it different, unique, and capable of contemplating the purpose of life itself, all fit into seven broad categories of abilities. Together, the abilities operate to move, manipulate, sort, and organize data in a manner that allows for humans to generate high levels of abstraction and communicate with other humans through those abstractions in the form of labels. For example the word "apple" communicates a complex array of data to another human, but is comprised of a simple two syllable noise, serving as a tool to transfer a broad and high volume of data out of our mouth. These processes form the core algorithms that create Fucitech and its attempt to be the first true artificial intelligence digital mind. 

The difference between deep learning algorithms and Fucitech, is not only in how they function, but also what they test and generate. Deep learning and machine learning are amazing algorithm that can determine if something is or is not based on a trained truth. It is great at handling complex connections between many layered variables, but it can not reason, it is now aware, and it can not handle the test of truth on a topic that it is not manually trained on. Fucitech, although very different than the mechanics of machine and deep learning, will use the following processes to generate an autonomously growing knowledge base that can be directed to provide insights for a particular industry, as well as be deployed to a new industry, problem, or question with little to no manual training. 

Process One:

Intake of Data: Just like how humans take in data through our sensory inputs, Fucitech takes in unstructured data from the internet from authorized sources and uses a series of algorithms, natural language processing tools, and machine learning tools to consistently structure the data in a way it can process and ultimately understand.

Process Two:

Data Storage: Fucitech has a complex system of processes that work together to store the data in unique and innovative structure that prioritizes speed and supports subsequent processes that create abstractions from the core data stored here.

Similar to how humans store data in batches, associating data elements with the timing of when they occurred, Fucitech's data storage processes structure the data that allow it to contemplate the impact of time/occurrence on data value. 

Process Three:

Data Recall: recall is a vital ability of humans so that we can make predictions, written in Python, Fucitech stores and accesses data in groups based on when and how it received the data. This allows Fucitech to build context and abstractions in later processes. This is the core of Fucitech's abstract thought where data is transformed from being raw data elements into usable insights that are driven by the seven interdependent processes. 

Process Four: 

Prediction Making: Core to the human mind is the ability to make predictions. We do it all day. From predicting through our autonomic, sympathetic, and parasympathetic nervous systems when you see a dog snarl and know to back away, to considering the consequences of smoking that cigarette from the known consequences on what will likely happen to your body in the future, we are always predicting the outcome of our actions. Those who prioritize the future self over the present self tend to make decisions that facilitate longevity. It is these assumptions that Fuctiech's prediction algorithms attempt to mimic. Unlike deep learning, Fucitech uses these processes to create, grow, generate context, abstractions and ultimately insight to predict the outcomes of its proposed actions suggested in other processes autonomously. 

Process Five: 

Drivers: These processes work together as the engine behind Fucitech's brain. They drive its behavior and control the order, frequency, and many other aspects of the other processes. Similar to how humans have a binary purpose to life (survive and avoid death), Fucitech has a core purpose programmed into its driver algorithms to facilitate autonomous data consumption and operating.

Process Six: 

Fucitech has the ability to take action. That action in the early stages is producing relevant insights to its users and a series of logical connection questions to the coders to help it generate the abstractions and connections between data that it is exposed to in its accessible environment. 

Process Seven:

This is one of Fucitech's more complicated set of abilities and processes. Just how humans can learn from speaking with other humans, Fucitech has a process that can take input and process stimuli that does not come from its normal data inputs, but rather is gained through a chat feature that can take in and process abstracted concepts (like the word apple) written in English, and process that information in a way that allows it to reconcile it with its main knowledge base in a reliable manner. Learning from others is perhaps the most complicated aspect of high level intelligence, especially when abstractions are interpreted and associated with varying data between different people. It requires a level of abstracted thought and visualization of stimuli that is not actually taking place in that moment, or imagination, to truly process and properly alter its main knowledge base.

If you are interested in this project and are skilled in Python, SQL, MYSQL administration, Angular JS, D3, NLTK, gaming design using Unity, Javascript, HTML, or Scrapy (including Xpath or CSS) please reach out to us at info@fucitech.com. Fucitech is an equal opportunity employer. 



Interested in learning more or getting involved? Simply reach out today. We are always looking for talented people to get involved. Graduate degree in neuroscience and or data science is a big plus.

New York, New York