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Effective and Agile Research

Achieve Breakthrough Accuracy and Speed for Deep Archival Research

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Agile, Intelligent, and Effective Research

RESEARCHWORK.AI serves researchers, students, historians, curators, educators, archivists, and exhibitors.

    User Testimonials
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    RESEARCHWORK.AI Transforms Exhibit Building by Revealing Hidden Connections

    “When building exhibits, we do a lot of research that doesn't make it into our final product; but RESEARCHWORK.AI gives us a way to put our work to use more than ever before. We are now able to better satisfy the curiosity of our visitors, and we've even found connections in our research that we didn't know were there.”

    Kurt Beecher

    VP, Museum of Science and Innovation, Schenectady, NY
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    Easily Process and Synthesize Large Volumes of Data

    “We have explored the benefits of RESEARCHWORK.AI for use by our client organizations (Green Houses) to process and comprehend large amounts of data in a short time & absorb more knowledge. Nowigence has a strong product portfolio offering AI enabled digital solutions for various use cases in businesses. ”

    Howard Ulep

    President, 3B Technology Solutions LLC
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    Elevates Your Critical Thinking and Problem-Solving Skills

    “RESEARCHWORK.AI enriches students' abilities to process and comprehend large amounts of data in a short time, absorb more knowledge, collaborate on projects and hone critical thinking and problem-solving abilities.”

    Pratap Chandra Jena

    Chairman, PJ College of Management and Technology
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    A Powerful, Must-Have Tool for Researchers and Students

    “This is a must have tool for anyone who reads a lot of PDFs or archival content for research either as lifelong students (which we all are) or businesses.”

    Bijal Oza

    Computer Science Educator
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    RESEARCHWORK.AI for quick learning with Q&A

    “I appreciate being able to scan the content, see related concepts, learn through Q&A, and conduct in-depth research with RESEARCHWORK.AI.”

    Aydan Mori

    Liberty University
    How does RESEARCHWORK.AI work?

    RESEARCHWORK.AI extracts key insights, connects related concepts, generates quizzes with answers, creates notes, and empowers users to interrogate the content seamlessly

    SVGFeature
    01

    Upload

    Upload PDFs, Text Files, Research Papers, Study Material or URLs

    SVGFeature
    02

    Data Processing

    Classification (also called Labelling) and relational mapping:

    • RESEARCHWORK.AI auto classifies content uploaded into topics and subtopics along with the relationship between them (e.g. Mushrooms are vegetables and not fruits or grains)
    RESEARCHWORK.AI Overview

    What amazing functionalities will help you with RESEARCHWORK.AI?

    • Relational Mapping occurs while uploading content. PDFs, Text Book, URL, Transcript, Research Papers can be uploaded. Contact Support team for auto information retrieval (IR) from Bing daily for updating with fresh content or linking archival research in Museums, Public Libraries, and Businesses via APIs.
    • Relational Mapping is important for contextual comprehension including proper pronoun interpretation. Edit features allows for correcting machine learning (ML) errors - AI interlaced with HI (Human Intelligence).
    • Build tabulated (structured) data from unstructured textual data that can then be combined with your other business numerical (structured) business data. This leads to unified business analytics that helps you harness most of the business data generated daily.
    • Relational Mapping also creates the foundations of root-cause analysis (RCA).
    • RESEARCHWORK.AI has in-built statistical models that help extract important key points from large volumes of data. This helps you scan and better understand the content, identifying sections for you to read in-depth for better comprehension.
    • The important points selected by you by clicking will then be routed to the note-builder.
    • Accurate relational mapping of extracted entities leads to complex quizzes with answers providing the full traceability of the sections where the topics bear reference. You don't need to depend on quiz creation alone. Ask any simple or complex questions allowing your curiosity to better understand the study material.
    • In-built machine learning module separates the cause from the effect. They classify causes and effects to help you better understand the research content. This functionality is useful in problem-solving. Later, when asked, the user can display the cause and effect analysis with a fishbone diagram. This can then be posted on to your research paper, power point, emails, or any other format that you desire.
    • RESEARCHWORK.AI is built with tools where you just have to click on a point to add it to a note-builder. All features of researchwork.ai are built in a way that just a simple click routes the point to the note-builder. Full traceability of the data source exists. When you have re-sequenced the points to call it your own, click to compose the content to meet the end-specification of where and how you want to post it – e.g. long-form essay, short-condensed summary, social media posts, emails, power points, or dissertations.

    Achieve Unparalleled Accuracy, Efficiency, and Speed in Your Research Work

    Archival research and in-depth study have traditionally relied on human oversight and interpretation. Human fatigue and the sheer volume of data present obstacles for researchers seeking to navigate the digital archives efficiently.

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    • Use Case: miSci at Schenectady, NY and Nowigence announce artificial intelligence collaboration using RESEARCHWORK.AI
    • The Museum of Science and Innovation at Schenectady in New York was looking at various AI platforms to help them prepare for the exhibition called Ground to Gourmet that was opening in the Fall of 2023. They were looking for interactive displays that transported school children and museum visitors on a journey through the fascinating origins of the food we cherish.
    • They finally selected RESEARCHWORK.AI as the AI Co-pilot. Archival research and in-depth study have traditionally relied on human oversight and interpretation. Human fatigue and the sheer volume of data present obstacles for researchers seeking to navigate the digital archives efficiently. A lot of hours, almost equivalent to a month of work, are needed to research archives to prepare the exhibits for an exhibition. A lot of the content that is researched doesn't make it into the final exhibits. It is always challenging to pick content that visitors would find most relevant.
    • RESEARCHWORK.AI was able to dig deep into the shelves of their archives, prompting users of all ages with auto generated questions, arousing their curiosity, and allowing them to ask any questions. This interactivity helped users embark on a journey learning about the fascinating origins of the history of the food we eat, past and present. RESEARCHWORK.AI assisted visitors to take an amazing tour of food and food technology covering past, present, and future that reaches from thousands of years in the past all the way into the space age! Each visitor could learn about the food by interrogating the archives satisfying their curiosity in the manner they best chose.
    • Use Case: Structuring the unstructured data and combining it with structured data for advanced unified data analytics
    • Typically, data analytics includes numeric (structured) data which is just 10% of all data generated daily by businesses. The wealth of knowledge is in textual (unstructured) data, which is 60% of all data. It contains causes and reasons for problems, the results of actions taken, and commentary explaining the trends found in graphical images and data analysis.
    • Textual data has mostly been mined manually so far. It relies on human oversight and interpretation. Interpretation can be biased. Human fatigue and the sheer volume of data present obstacles in connecting-the-dots. Memory recall is sometimes a problem affecting the quality of data analytics.
    • With our advanced algorithms in extractive AI, we harness textual data, create structured data from unstructured, and deliver it in ways that can be combined with structured data captured in ERP systems, Excel, or tables. RESEARCHWORK.AI extracts, classifies, and maps the relationship amongst the principal entities, concepts, and attributes contained in the text. It breaks down sentences into cause and effect delivering unbiased and in-depth causal studies. It is able to identify risks and opportunities, presenting them in ways that businesses can work on risk mitigation plans thereby increasing their The result is improved efficiency, accuracy in decision-making, and profitability.
    • Many of our customers like MiSci, 3B Technologies, Owens Corning, Rex-Company, Tech Mahindra, and others use RESEARCHWORK.AI daily for problem solving by structuring the data from unstructured data.
    • Use Case: In-Built Advanced AI with Unified Data Analytics for Smart Alerting, Process Control, and Yield Optimization in Next Gen Technologies
    • When companies like 3B Technologies LLC and Rex-Company were looking for an AI partner to be a part of their consortium of Next Gen Products and Technologies, they zeroed down to the AI SaaS solutions offered by Nowigence. They were looking at Unified Data Analytics combining the power of Structured and Unstructured Data for Smart Alerting, Process Control, and Yield Optimization to be embedded in their products (as OEM).
    • There are many features in products (RESEARCHWORK.AI, Lille.AI, and Pluaris) developed by Nowigence that can be integrated in third party products to deliver Process Control and Yield Optimization. We are working with margin constrained industries like Mining where yields have reached a saturation which without our AI cannot be improved. Our AI solutions are integrated with next gen advanced products. As examples, mobile generators that produce high quality water from atmospheric humidity, or low-cost organic waste vaporizers and high temperature reactors that volatize waste in presence of excess hydrogen into renewable natural gas (RNG) which is then sold. Their products are sold in many State Governments and Federal Agencies in U.S. We are also helping them in initial market penetrations in countries like India and Indonesia.
    • Even a one percent increase in yield results in sizeable margin increase. We then build reinforcement learning models for continuous improvement.
    Testimonials

    Wow! I find it hard to stumble on good quality information and facts out there when it comes to my subject matter. This was excellent.

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    Erika Borrayo,
    Individual User

    These are really enormous ideas. The research has touched upon some good points here.


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    Marya Matthews
    Individual User

    Excellent research! We want to link researchwork.ai to our website for our clients. Keep up the great work and we'll help you make the app even more valuable over time

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    Melody Kinsella
    Individual User

    I have been surfing online more than 2 hours today, yet I never found any interesting research content like yours. It's pretty worthy enough for me. In my opinion, if all made good content out of research using your app, the net will be much more useful than ever before.

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    John Barret
    Individual User

    Wow! that was unusual. I just wrote an extremely long comment but after I clicked submit my comment didn't show up. Grrrr… well! I'm not writing all that over again. Anyhow, just wanted to say superb researchwork.ai.

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    Frederic
    Individual User
    FAQ's

    Frequently Asked Questions

    RESEARCHWORK.AI is an AI co-pilot that specializes in extracting relevant details on any topic from documents, PDFs, files, books, and research papers that are uploaded. It brings structure to the unstructured data, finds connections among related ideas, provides full traceability of data sources for copyright protection, ensures data privacy, generates quizzes, answers questions, and creates notes. RESEARCHWORK.AI does the heavy lifting evaluating, analyzing, and recommending, upon which human intelligence can edit or endorse before wrapping it all together using generative AI.

    Absolutely. Researchwork.ai provides full traceability of data sources whether the content contributing to the ideas is from privately uploaded files or from publicly available information. Additionally, Researchwork.ai presents the work it does in a way where users, can select and sequence the ideas making the content our very own.

    Yes, we do not use your data to train our machine learning (ML) and natural language processing (NLP) algorithms. All traffic between users and our servers IS fully encrypted using the industry standard. All server clusters and VPS are monitored with network policies to limit open ports. There is strict access management on any SSH session. Only machines with white-labeled IP addresses have access to our data warehouses. You are responsible for the data that you upload. If you cancel the subscription then the data stored for you is deleted from our system.

    Yes, you can try researchwork.ai for trial till the 12 credits are consumed. After which you will be required to pay as per the subscription plan you choose.

    Each task by RESEARCHWORK.AI costs about $0.1707 per call, and $10 allows roughly 50 to 60 API calls.

    Yes, you can. But you will not be refunded the remaining credits in your account. It is best that you exhaust the credit points before canceling the subscription.

    The contextual comprehension of researchwork.ai is word and grammar based. Just language translation may not be enough to get the best out of RESEARCHWORK.AI. However, you can try the model accuracy in the free trials and then contact us. We will try to understand the issues from you and then see if we can fix it within a reasonable time.