Inventia AI

In the past, there have been many accidental scientific discoveries. Some of those discoveries had the impact to change the course of humanity e.g., X-Ray, Penicillin, Microwave, Teflon, Viagra, Vaseline, Match Sticks, Corn flakes, etc. Even if we consider the case of Penicillin - a single invention - that has saved millions of lives since its invention, we may come to realize it was discovered as a result of the mere carelessness of a researcher. If that medicine had been discovered earlier deliberately, it would have saved many more lives. More importantly, there are many inventions today that are waiting for such fortunate incidents to happen to be discovered.

 There is always one key element in all of the accidental and deliberate discoveries of the past and today - Inter- or intra-disciplinary knowledge. However, such occurrences of inter- or intra-disciplinary inventions are low because: 

1) Conventional scientific research is manual and tedious - requires finding the right keywords, exploring different articles, reading them, etc. 

2) Lack of inter- and intra-disciplinary activities (especially the perspective to apply to industrial problems) 

3) Inefficient in a way that humans are limited to reading, analyzing, or formulating a few hypotheses at a time. 

4) In traditional research, it can be difficult for researchers to keep up with all of the latest developments in their field, let alone other fields that may be relevant to their work.

Market :

According to a report by ResearchandMarket.com, the available scientific research and development market will be 2041.8B USD globally by 2023. The trend of academic software support services is increasing at a promising rate of 7.8% CAGR. The 7.8% CAGR in academic software support services is primarily a result of the ongoing digital transformation in education, the complexity of modern educational software, the shift towards online and personalized learning, and the growing importance of data analytics and cybersecurity in the education sector. These macro trends are likely to continue driving growth in this industry in the coming years.This clearly shows the market potential of Goddard's target market ie, the research community. 

In light of the above limitations, we propose a better way of scientific research automated by AI. We have developed an AI-enabled platform that can assist researchers in their day-to-day activities. Being a computation algorithm, it can read and infer thousands of articles in a blink of an eye and then visually present the personalized results to a researcher in the form of key points, hypotheses, and links among interdisciplinary knowledge (researchers working on those domains as well as their demographics) to save his/her time.  

its  features range from clustering, building knowledge graphs, and extracting attributes from the research to Generating scientific block diagrams based on input text or drawing, discovering hypotheses by connecting multiple research, and providing the demographic analysis to the researcher to be able to know the current research trend according to the live demographic research data extracted from hundreds of publication channels and helping for better collaboration.

Link to demo video : https://youtu.be/s7oMgqE2DDQ

Beta Access: https://app.goddard-discovery....

It can help close opportunity gaps in academic settings for secondary learners and teachers (especially for marginalized groups) in several following ways:

1. Inventia-AI can help level the playing field by providing students from all backgrounds with access to high-quality educational resources and a research eco-system.

2.It learns and tailors the experience to each student's prior knowledge, learning styles, linguistic competency, and requirements with the help of his/her personalized data. A diverse pool of teachers, students, and learning scientists in-loop will assist in data labeling, guiding the improvements in the AI responses, and most importantly, reporting scientific results inferred from the whole process. Students (with non-native English or weak student background) can get AI-generated explanations of the background topics or redirections to necessary knowledge resources to understand targeted topics in the best possible way. Thus, closing the learning gap among users. Likewise, teachers with weak professional development or knowledge gaps could get redirection to up-to-date research and insights from students’ learning patterns to craft their teaching style and curriculum.

3. The proposed platform uses AI to reduce knowledge bias and promote diversity of knowledge. Inventia-AI can help students access scientific knowledge from all demographics, share knowledge and collaborate to put their perspectives in view.

4. Marginalized academic communities may have limited access to scientific knowledge due to financial, institutional, or geographical barriers. Inventia-AI can help overcome these barriers by providing a low-cost, user-friendly, collaborative platform that allows users to access, organize, visualize scientific knowledge from different scientific sources, and know learning trends in other academic communities.

5. Marginalized academic communities may have limited expertise in their specific fields. Inventia-AI can help overcome these limitations by leveraging the collective knowledge and resources of different disciplines and helping them to explore new research directions. They also have limited access to networks, mentorships, and peer support. Inventia-AI can help overcome these limitations by providing a collaborative learning environment that enables real-time user-to-user knowledge sharing. They can connect with researchers from different backgrounds, exchange ideas, receive feedback, and build supportive communities.

1) Save time for the academic community and ensure efficient R&D: In the academic community, lots of time is wasted on products/ concepts /ideas already available due to limited knowledge. Therefore, our discovery platform will enable researchers and scientists to know about available data quickly. More importantly, our discovery platform will pitch them related hypotheses, ideas, products, projects, etc., ensuring faster progress in all domains and economic progress.

2) Efficient peer-to-peer and business-to-business connection: Many times, we wish for the availability of things, we might think are unavailable but are available. The issue arises due to our limited knowledge or inefficient searching capabilities over the internet. Our web discovery platform will have high-level intelligence to identify user preferences and link or suggest accordingly to respective information or data. For example, it can help to connect western organizations with the innovators in rural areas, creating innovative low-cost commercial products.        

3) Web discovery platform at the subconscious level: Helping people find information over the internet (without exactly knowing what they are looking for) with interconnected keywords. A cognitive web discovery platform - linking people with relevant knowledge and connections and at the next stage will generate a hypothesis, pictures, and ideas based on user preference and need. This is done by either furnishing interconnected data already available on the internet or generating new data based on user requirements.

Target Population

Academicians # 15M+

Higher Education Institutes # 100,000

Academic Publishers # 500+

R&D Corporate Entities (Private and Public) # 1000+

 Specifically, our emphasis is on early-stage STEM researchers and students in B2C settings within Asia whereas, academic institutes in North America and European Region. We foresee an obtainable scientific research market of 100M USD in Asia, Europe, and North America based on our connections and access to the market.

The team from Goddard - Discovery consists of professionals mainly from the field of artificial intelligence having extensive experience in developing solutions for a wide plethora of applications. Our idea is to train the network and have that agent understand extensive 8 knowledge from multiple fields. I, Ammar Abbas, am pursuing an Industrial Ph.D. from Austria while applying artificial intelligence to industrial safety systems. I believe in the business model that focuses more on the growth of the entire society, a product that can grow to a large scale and help serve the people around us.

Muhammad Affan is pursuing a Master’s degree in intelligent robotics from France and Spain while having extensive experience in research and development in the same field. He is passionate about research and development, and the benefits it could bring to humanity. He witnessed and observed that almost every field is being automated except the research workflow itself so he wanted to facilitate those (researchers) who are working hard to discover things to make people's lives better and tackle the pressing issues of today's era (e.g., water scarcity, deforestation, air pollution, etc.) and enhance fairness in academic research by reducing human bias through automation.

 Huzaifa Habib and Saad Hasib have 4+ years of experience in MERN stack, Git, Cloud Services, and Machine Learning. Therefore we have a strong interdisciplinary team with relevant backgrounds. We are striving to include everyone in the latest and greatest scientific breakthroughs by providing intelligence in each step of their research process.

Muhammad Haris Shakeel is a first-generation high school student with an interest in astrophysics. He is leading a community service society, aiming to increase awareness about environmental issues. Furthermore, he has led World Space Week in his school for two years, spreading awareness about space to over 1000 people. He has led various competitions and summer programs, including StemX and the National Science Bowl. Haris works with us to provide ideas on how to focus our product to help high school students, as he himself comes from a low-income household and is experienced with issues faced by students from marginalised communities.

There are other employees and interns at Goddard-Discovery who work to facilitate the company’s smooth operation in the areas of business development, software engineering, backend, AI development, etc.

User Feedback, Case studies, and Testimonials: We are currently gathering the user  feedback on the software (from academicians, students, engineers, and researchers). With continuous improvement, we want to undertake a case study to numerically evaluate the effectiveness of the Inventia-AI platform. This will allow us with the factual results of improvement in R&D capacity with or without our software. Additionally, we plan to record testimonials about user experience. Positive user reviews and success stories will be incorporated into promotional materials, websites, and publications to build trust and credibility.

Our progress includes the successful development and integration of five distinct tools into our application. Looking ahead, we are committed to enhancing these current features, introducing new functionalities, and securing legal registration through the Securities & Exchange Commission of Pakistan (SECP). We already have launched the Beta version of the software on our website .

The tentative number of monthly users on average is around 300. While we have not yet established a customer base that pays for our services, we have opted to introduce our premium features on our beta version at no cost during a limited time period.

We are raising 1M USD and so far we have raised around $80,000 USD through bootstrapping, fundings, grants, and credits since 2021. We forecast a revenue projection of 10M USD in 5 years with proper investment and funding.

I have observed that to go beyond greatness you must have an effective team and the right direction. I want a ladder with a very strong and firm base leaning towards the right wall to climb the steps of success. All of these traits are provided by this program by finding the co-founders and being directed by the best mentors. If you have that, success will eventually follow. There are many programs but none is like this where you just need an overwhelmingz ambition, enthusiasm, and confidence to persist along this entrepreneurial journey.

Furthermore through this program we hope to get collaborators to help reach a wider community  

INVENTIA AI: generating engine, interdisciplinary connection, data visualization, knowledge extraction, hypotheses generation, personalized collection, collaborative features, cost saving, and interactive

1. Research Rabbit

what is has: (generating engine, interdisciplinary, data visualization, knowledge extraction, personalized collection, collaborative features, cost saving, and interactive)

what it doesn’t have: (hypotheses generation)

1. Wizdom AI

what is has: (generating engine, data visualization, personalized collection, collaborative features, cost saving, and interactive)

what it doesn’t have: (interdisciplinary connection, knowledg extraction, and hypotheses generation)

1. Iris AI

what is has: (generating engine, interdisciplinary, data visualization, knowledge extraction, personalized collection, and interactive)

what it doesn’t have: (hypotheses generation, collaborative features, and cost saving)

1. Elicit

what is has: (generating engine, knowledge extraction, personalized collection, cost saving and interactive)

what it doesn’t have: (interdisciplinary connection, data visualization, hypotheses generation, collaborative features)

1. Research Aide

what is has: (knowledge extraction, personalized collection, cost saving, interactive)

what it doesn’t have: (generating engine, interdisciplinary connection, data visualization, hypotheses generation, and collaborative features)

1. Discovery Lab

what is has: (generating engine, interdisciplinary connection, and data visualization)

what it doesn’t have: (knowledge extraction, hypotheses generation, personalized collection, collaborative features, cost saving, and interactive)

1. Connected Papers

what is has: (generating engine, data visualization, and interactive)

what it doesn’t have: (interdisciplinary connection, knowledge extraction, hypotheses generation, personalized collection, collaborative features, and cost saving)

1. Research Gate 

what is has: (knowledge extraction, collaborative features)

what it doesn’t have: (generating engine, interdisciplinary connection, data visualization, hypotheses generation, personalized collection, cost saving, and interactive)

1. Google Scholar

what is has: (collaborative features and cost saving)

what it doesn’t have: (generating engine, interdisciplinary connection, data visualization, knowledge extraction, hypotheses generation, personalized collection, and interactive) 

1. Minerva AI

what is has: (generating engine and cost saving)

what it doesn’t have: (interdisciplinary connection, data visualization, knowledge extraction, hypotheses generation, personalized collection, collaborative features and interactive)

1. Semantics Scholar

what is has: (cost saving)

what it doesn’t have: (generating engine, interdisciplinary connection, data visualization, knowledge extraction, hypotheses generation, personalized collection, collaborative features and interactive)

Inventia AI will make a significant impact in the education domain in pakistan. AI-powered teaching assistants and chatbots can revolutionize teaching methods and offer personalized learning experiences to students (Dawn, 2023). AI's application in automating administrative tasks and improving educational content can further enhance the quality of education (The Express Tribune, 2022).

Also, the platform has the potential to bring significant benefits and several changes to the research and development (R&D) industry. One of the main benefits is the ability to shorten the R&D cycle. Streamlining this process could lead to the development of new research techniques and methodologies. By presenting relevant knowledge in a way that is easy to understand and apply, the platform could help researchers to identify new research opportunities and develop innovative solutions to complex problems. Researchers may find new ways to use AI and other advanced technologies to improve their research processes.

Another benefit of the Inventia AI platform is its potential to support commercialization, startup, and IT export. By facilitating faster research and development, the platform can help researchers bring their products and services to market more quickly. This, in turn, can lead to the creation of new startups and the growth of existing ones, creation of new jobs, etc. which can have a positive impact on the economy.

Goddard-Discovery supports social integration by facilitating collaboration among researchers from different disciplines, cultures, and regions. By breaking down barriers and promoting interdisciplinary research, the platform encourages the exchange of ideas, perspectives, and solutions to address complex societal challenges.

References:

• Dawn. (2023). AI in education. https://www.dawn.com/news/1750836

The Express Tribune. (2022, February 5). Artificial Intelligence in Pakistan. https://tribune.com.pk/story/2366462/artificial-intelligence-in-pakistan

Goddard has enormous potential for commercialization at the National/International scale and subsequently, contributes not only to employment creation, economic growth, tech revolution, and attraction of AI practitioners but also to ensure sustainably and applied scientific research. For instance, the Goddard platform could enable interdisciplinary research on pressing environmental issues (e.g., water scarcity, deforestation, air pollution, etc.) to come up with indigenous solutions to those problems by connecting all relevant researchers or environmentalists in one place. Likewise, Goddard can enhance fairness in academic research and employability by bringing into limelight the women researchers. Goddard also strives for equal employment opportunities irrespective of race, gender, and other specificities.

track metrics around user engagement and retention :

We have 427 page views and 348 user engagements on our website for this month of August 2023. However, the page views for the Inventia AI web application are 383, and engaged users are 45. Notably, over the past 42 days, our website has maintained a user retention rate of 33.3% whereas on the application this rate ranges from 100% to 50% at max, out of which 21 are new users and 10 are returning users. 

How we would describe success :

• Number of unique and recurring users 
• Number of new ideas generated
• Number of hypotheses validated by the users
• Discoveries approved by the mass population

We are using customized natural language algorithms such as transformer and sequential models, and unsupervised algorithms for tasks such as clustering, semantic inference, and entity recognition within the scientific corpora. For algorithm development purposes, we are primarily using the python programming language and AWS EC2 Instance for cloud computing with Jinja, Tensorboard, Tqdm, Transformers, Spacy, Tensorflow, LSGNData, SRLModel, Sbert, Sklearn, Numpy, Pandas, Beautiful soup, and other Data cleaning libraries are used. At the moment, we are utilizing IEEE and Rest API. 

The UI / UX design and validation are carried out on Adobe XD, Illustrator, Photoshop, and similar software. Afterward, we undergo frontend development, we use the stack of HTML, CSS, JavaScript, React.js, Electron Js, Node Js, Express Js, MongoDB along with libraries among which some are React-Force-Graph, AMCharts, ChartJS(planned), AMMaps. For deployment, we are using Heroku, AWS lambda, AWS Amplify, and controlling version via Git/Github.

2 full time 

5 part-time

3 years (since January 2021 )

Our workspace is designed to be inclusive and welcoming to all. We have gender-neutral facilities, accessible spaces, and a zero-tolerance policy for discrimination or harassment of any kind.

To minimise barriers to opportunity, we offer mentorship programs, professional development opportunities, and flexible working arrangements including work from home. We believe in providing equal access to growth and advancement within the company, regardless of background,age or identity.

Most of our staff is satisfied with the environment and our intern give good feedback on their experiences. we are also committed to improving our environment and regularly take feedback from our staff members.

Revenue streams

Direct revenue streams will be obtained through the monthly subscription fee of academic users. Moreover, it could also be boosted by charging a percentage share from academic publishers. Indirect revenue would come from other international/ national startup grants, research funding agencies, industrial financial support, etc.

Our financial revenue model for sustainability and growth into the global market lies on the following: 

● Monthly subscriptions

● Patents

● Ads on a free plan

● Customized commercial plans

● Research analytics for companies or publishers

We use a B2B-based subscription model for research entities and organizations and a B2C subscription model for individuals. For academic publishers, we will charge a percentage share of their journal subscription fee (based on the number of articles redirected).

Pricing plan: https://drive.google.com/file/d/1WfstPTNQ9AILD3CAEea5hZsCsZIApTiH/view?usp=sharing 

Pricing forecast: https://drive.google.com/file/d/13DceP4EFQqEr1LA5V_MAWaZb1xMrreFp/view 

Pricing strategy: 

We use a B2B based subscription model for research entities and organizations and B2C subscription model for individuals. For academic publishers, we will charge a percentage share of their journal subscription fee (based on the number of articles redirected).

https://drive.google.com/file/d/13DceP4EFQqEr1LA5V_MAWaZb1xMrreFp/view

overall we have won gained up to $80000 in funding   

• Incubation within National Incubation Centers in Karachi and Multan ($3,000)
• Recognition by Amazon Web Services (AWS) Activate and award of $50,000 as credits
• Winner of SSK 0.5 million PKR grant challenge 2022 ($2500)
• Winner of National Idea Competition 2023, Pakistan. 3rd Runner up in the IT category (85 USD)
• CAREC ADB 2023 competition winner (1000 USD) - featured on their website and social media. 
• Runner Up for Prime Minister National Innovation Award (1750 USD)