In the evolving landscape of commerce, artificial intelligence (AI) is changing how businesses interact with customers, manage operations, and stay competitive. It is rapidly reshaping the commerce industry by enhancing efficiency in decision-making across various functions. According to IBM, “By implementing effective solutions for AI in commerce, brands can create seamless, personalized buying experiences that increase customer loyalty, customer engagement, retention and share of wallet across B2B and B2C channels.” From automating customer service to optimizing trade compliance and market expansion, AI is providing solutions that are not only more efficient but also more precise and adaptable to the ever-changing market demands. By harnessing AI, companies can streamline their operations, improve customer experiences, and make informed decisions based on real-time data and advanced analytics. In this section, we explore various AI use cases in the commerce industry that highlight its transformative potential and practical applications.
The Chatbot for International Trade Administration (ITA) is integrated into trade.gov to help ITA clients with frequently asked questions, finding information, and recommending events and services. Clients interact with the chatbot by asking questions or responding to prompts. The chatbot searches through ITA content libraries and staff inputs to provide answers and suggestions tailored to the client’s profile, whether they are an exporter, foreign buyer, or investor. This tool enhances user experience by providing quick and personalized assistance.
The Consolidated Screening List (CSL) is a comprehensive list of entities for which the U.S. Government imposes restrictions on certain exports, reexports, or transfers. It merges 13 export screening lists from the Departments of Commerce, State, and Treasury. The CSL search engine features “Fuzzy Name Search” capabilities, enabling searches without needing the exact spelling of an entity’s name. In this mode, the CSL provides a “score” for results that closely match the searched name, which is especially useful for names translated from non-Latin alphabets. This tool aids in ensuring compliance with export regulations by simplifying the search process.
The Market Diversification Toolkit helps users identify new potential export markets by analyzing current trade patterns. Users input the products they manufacture and the markets they currently export to. The tool uses a machine learning algorithm to suggest and compare new markets worth considering. It combines product-specific trade and tariff data with macroeconomic and governance data to provide a comprehensive view of suitable markets for further research. Users can filter the results to focus on specific markets and adjust the weight of eleven different indicators that contribute to a country’s overall score. Additionally, all data can be exported to a spreadsheet for detailed analysis.
The Fisheries Electronic Monitoring Library (FEML) serves as the central repository for electronic monitoring data concerning marine life. This library collects and stores data from various electronic monitoring systems, providing a comprehensive resource for researchers and policymakers. The FEML aims to support the conservation and management of marine resources by offering accessible and organized data on marine life.
The project, known as VIAME, focuses on using optical survey data collected in the Gulf of Mexico to automate species identification and counting. The project has three main objectives: developing an image library of landed catch, creating automated image processing techniques using Machine Learning and Deep Learning to identify and count species from underwater images, and developing algorithms to process these images in near real-time and upload the information to a central database. This automation aims to enhance the accuracy and efficiency of marine species monitoring and data collection.
The project aims to expedite the use of VIAME for the automated identification of reef fish. Image libraries are being compiled to develop detection and classification models that automate the annotation process for the SEAMAP Reef Fish Video survey in the Gulf of Mexico. While the work is primarily conducted in VIAME, other potential methods are also being explored to identify the best-performing models. The current status indicates that the models are performing sufficiently well to incorporate automated analysis into video readings this spring, as part of a supervised annotation quality assurance/quality control process.
The project aims to demonstrate the effectiveness and operational suitability of a hybrid statistical-dynamical prediction system that provides seamless probabilistic forecasts of daily extremes and subseasonal-to-seasonal temperature and precipitation. A Bayesian statistical method was recently demonstrated for post-processing seasonal forecasts of mean temperature and precipitation from the North American Multi-Model Ensemble (NMME). The current goal is to test an updated hybrid system that enables seamless sub-seasonal and seasonal forecasting, with a particular focus on representing daily extremes in line with climate conditions. The project also explores the use of machine learning to enhance forecasting accuracy and reliability.
The Coastal Change Analysis Program (C-CAP) began a high-resolution land cover development effort in 2015, using geographic object-based image analysis and machine learning algorithms like Random Forest to classify coastal land cover from 1-meter multispectral imagery. Recently, C-CAP has adopted Convolutional Neural Networks (CNN) to derive the impervious surface component of their land cover products. Most of this work is done through external contracts. Before this high-resolution effort, C-CAP focused on moderate resolution multi-date land cover development using Landsat imagery for the coastal U.S. Since 2002, C-CAP has used Classification and Regression Trees for land cover data development. This program aims to provide detailed and accurate land cover data to support coastal management and conservation efforts.
This project uses deep learning algorithms to automate the identification of right whales from photographs. Initially started as a Kaggle competition, it has expanded to include multiple algorithms that match right whales from various viewpoints (aerial, lateral) and body parts (head, fluke, peduncle). The system is now operational on the Flukebook platform, serving both North Atlantic and southern right whales. A paper detailing this work is currently under review at Mammalian Biology. This automated identification system enhances the efficiency and accuracy of whale monitoring and conservation efforts.
NOAA Coral Reef Watch (CRW) has been using remote sensing, modeled, and in situ data for over 20 years to operate a Decision Support System (DSS) aimed at helping resource managers, researchers, decision makers, and other stakeholders worldwide prepare for and respond to coral reef ecosystem stressors, mainly due to climate change and ocean warming. CRW offers the world’s only global early-warning system for coral reef ecosystem physical environmental changes. It remotely monitors conditions that can lead to coral bleaching, disease, and death, providing near real-time information and early warnings to its user community. CRW also uses operational climate forecasts to predict stressful environmental conditions at specific reef locations globally. The products are primarily based on sea surface temperature (SST) but also include light and ocean color data, among other variables. This system supports the conservation and management of coral reefs by providing timely and accurate information.
This project focuses on using robotic microscopes and machine learning algorithms to remotely and autonomously track lower trophic levels, specifically phytoplankton, which are crucial to marine food webs supporting fisheries and coastal communities. Phytoplankton respond quickly to changes in physical and chemical oceanography, and shifts in their communities can affect the entire food web. The project employs an Imaging Flow Cytobot (IFCB) to continuously collect images of phytoplankton from seawater. Automated taxonomic identification of these images is done using a supervised machine learning approach, specifically the random forest algorithm. The IFCB is deployed on both fixed platforms (docks) and roving platforms (aboard survey ships) to monitor phytoplankton communities in aquaculture areas in Puget Sound and the California Current System. The project maps the distribution and abundance of phytoplankton functional groups and their relative food value, supporting fisheries and aquaculture. It also describes changes in these communities in relation to ocean and climate variability and change.
This project involves the development and support of an Edge AI survey payload for multispectral aerial imaging, which runs detection model pipelines in real-time. The payload consists of nine cameras (color, infrared, ultraviolet) controlled by dedicated on-board computers with GPUs. YOLO detection models are used to process imagery faster than it is collected, enabling real-time analysis. The primary goals are to reduce the overall data burden by terabytes and shorten the data processing timeline, thereby expediting analysis and population assessment for Arctic mammals. This technology enhances the efficiency and effectiveness of aerial surveys and wildlife monitoring.
This project aims to refine and improve the detection and classification pipelines for ice seals in multispectral aerial imagery. The primary objectives are to reduce false positive rates to less than 50% while maintaining over 90% accuracy. Additionally, the project seeks to significantly reduce or eliminate the labor-intensive post-survey review process. By enhancing the accuracy and efficiency of these pipelines, the project aims to improve the monitoring and conservation of ice seal populations.
The First Guess Excessive Rainfall Outlook is a machine learning product designed to provide an initial estimate for the Weather Prediction Center’s (WPC) Excessive Rainfall Outlook. It is developed using data from the Excessive Rainfall Outlook (ERO) along with various atmospheric variables. This product focuses on providing predictions for days 4-7, helping meteorologists and decision-makers prepare for potential excessive rainfall events. The use of machine learning enhances the accuracy and reliability of these forecasts.
The automated detection of hazardous low clouds supports safe and efficient transportation by providing accurate and timely information to meteorologists and aviation professionals.This project focuses on the maintenance and sustainment of the operational fog/low stratus (FLS) products. These products are created by combining satellite imagery with Numerical Weather Prediction (NWP) data using machine learning techniques. The FLS products are available in the Advanced Weather Interactive Processing System (AWIPS) and are routinely used by the National Weather Service (NWS) Aviation Weather Center and Weather Forecast Offices.
The Development of ProbSevere v3 focuses on enhancing a machine learning model that uses numerical weather prediction (NWP), satellite, radar, and lightning data to nowcast severe weather events like wind, hail, and tornadoes. Initially transitioned to National Weather Service (NWS) operations in October 2020, ProbSevere has proven effective in improving severe weather warnings. The new version, ProbSevere v3, incorporates additional datasets and advanced machine learning techniques to further enhance its capabilities. Successfully demonstrated in the 2021 Hazardous Weather Testbed, a proposal has been submitted to facilitate its operational update. This development is funded by the GOES-R program, aiming to provide more accurate and timely severe weather forecasts.
The VOLcanic Cloud Analysis Toolkit (VOLCAT) is designed to detect, track, characterize, and forecast hazardous volcanic events, particularly volcanic ash, which poses significant risks to aviation. VOLCAT includes several AI-powered satellite applications for eruption detection, alerting, and volcanic cloud tracking. These tools are regularly used by Volcanic Ash Advisory Centers to issue advisories. The project aims to further develop VOLCAT products and transition them to the NESDIS Common Cloud Framework, ensuring compliance with new International Civil Aviation Organization (ICAO) requirements. This enhancement will improve the accuracy and reliability of volcanic ash monitoring and forecasting, thereby enhancing aviation safety.
ProbSR is a machine learning algorithm designed to predict the probability of roads being subfreezing, providing a 0-100% likelihood. This tool is essential for improving road safety by helping authorities and drivers anticipate and respond to hazardous driving conditions caused by subfreezing temperatures. By offering precise and timely predictions, ProbSR aids in better decision-making for road maintenance and travel safety.
VIAME, or the Video and Image Analysis for the Marine Environment Software Toolkit, is an open-source, modular toolkit that enables users to apply advanced deep-learning algorithms for automated image annotation through a user-friendly graphical interface. Available free of charge to all NOAA users, VIAME supports a wide range of applications in marine research and monitoring. The National Oceanic and Atmospheric Association (NOAA) Fisheries Office of Science and Technology funds an annual maintenance contract that includes technical and customer support, routine software updates, bug fixes, and development efforts to meet diverse application needs across different centers. This toolkit enhances the efficiency and accuracy of marine imagery analysis, supporting various research and conservation initiatives.
This project employs a Long Short-Term Memory (LSTM) model to use ocean and atmospheric predictors across the tropical Pacific for forecasting the Oceanic Niño Index (ONI) values up to one year in advance. An extension of this project has been proposed to the cloud portfolio, aiming to incorporate a Convolutional Neural Network (CNN) layer that utilizes reforecast data to enhance the accuracy of ONI predictions. This advanced modeling approach helps improve the understanding and forecasting of El Niño-Southern Oscillation (ENSO) events, which are critical for climate prediction and planning.
This project aims to study the distribution and ecology of green sea turtles in and around La Jolla Cove in the San Diego region, a popular ecotourism site. By engaging local photographers to collect underwater images of green turtles, the project uses publicly available facial recognition software (HotSpotter) to identify individual turtles. This identification helps determine population size, residency patterns, and foraging ecology. The involvement of the community in data collection enhances the scope and accuracy of the research, contributing valuable insights into the conservation of green sea turtles.
This project focuses on developing robust automated machine learning tools for detecting and classifying the echolocation clicks of toothed whales and dolphins, covering up to 20 species found in the Gulf of Mexico. Funded from June 2018 to May 2021, the tools will be used for automated analysis of long-term recordings from passive acoustic moored instruments deployed across the Gulf from 2010 to 2025. The goal is to understand the environmental processes driving trends in marine mammal density and distribution. These advanced tools will enhance the efficiency and accuracy of marine mammal monitoring and conservation efforts.
The Steller Sea Lion Automated Count Program, led by NOAA Fisheries Alaska Fisheries Science Center’s Marine Mammal Laboratory (MML), is tasked with monitoring the endangered western Steller sea lion population in Alaska. MML conducts annual aerial surveys of known sea lion sites along the southern Alaska coastline, capturing visual imagery. Traditionally, two full-time counters manually process overlapping images to avoid double counting and classify individuals by age and sex. These counts are crucial for population and ecosystem-based modeling, informing sustainable fishery management decisions, and are highly anticipated by stakeholders. MML has collaborated with Kitware to develop detection and image registration pipelines using VIAME, updating the DIVE program to meet new interface needs. Currently, MML is assessing the efficacy of these algorithms and developing a workflow to enhance the traditional counting method, aiming to improve accuracy and efficiency in monitoring efforts.
The Steller Sea Lion Brand Sighting project focuses on detecting and identifying branded Steller sea lions using remote camera images in the western Aleutian Islands, Alaska. The primary goal is to streamline the photo processing workflow, reducing the effort required to review images. By automating the detection and identification process, the project aims to enhance the efficiency and accuracy of monitoring branded sea lions, contributing to better management and conservation of the species.
The Picky project utilizes Convolutional Neural Networks (CNN) to identify objects of specific sizes from side scan imagery. This technology provides users with a probability score, enabling the automation of contact picking in the field. Side scan imagery, which is a single-channel intensity image, is well-suited for basic CNN techniques. This automation enhances the efficiency and accuracy of object detection in various field applications.
WAWENETS is an algorithm designed to estimate the quality and intelligibility of speech in telecommunications. It processes digital recordings of speech from telecommunications systems and outputs a single number indicating speech quality (on a 1 to 5 scale) or speech intelligibility (on a 0 to 1 scale). This tool helps in assessing and improving the performance of telecommunications systems by providing clear metrics for speech quality and intelligibility.
The AI retrieval for patent search project aims to enhance the next-generation patent search tool by assisting examiners in identifying relevant documents and additional search areas. The system processes inputs from both published and unpublished applications and provides recommendations on further prior art areas to explore. Users can sort these recommendations by similarity to concepts of their choosing, making the patent search process more efficient and comprehensive.
28.AI use for CPC classification This project involves an AI system that classifies incoming patent applications according to the Cooperative Patent Classification (CPC) scheme. It assists in the operational assignment of work and recommends classification symbols for AI searches. The back-office processing system takes incoming patent applications as input and outputs the corresponding classification symbols, streamlining the patent classification process and improving accuracy.
The AI retrieval for Trademark (TM) design coding and image search project uses a Clarivate Commercial Off-The-Shelf (COTS) solution to help examiners identify similar trademark images. It suggests the correct assignment of mark image design codes and assesses the potential acceptability of goods and services identifications. The system processes both incoming and registered trademark images, outputting design codes and related images, thereby enhancing the efficiency and accuracy of trademark examination.
The Enriched Citation project is a data dissemination system that identifies references or prior art cited in specific patent application office actions. It includes bibliographic information of the references, the claims they were cited against, and the relevant sections relied upon by the examiner. The system extracts this information from unstructured office actions and provides it through a structured public-facing API, making it easier to access and understand citation data in patent applications.
The Inventor Search Assistant (iSAT) is a service designed to help inventors begin the process of identifying relevant documents, figures, and classification codes for conducting a novelty search. Users enter a short description of their invention, and the system provides a selectable set of recommended documents, figures, and classification areas. This tool simplifies the initial stages of patent research, making it more accessible for inventors.
At Scry Analytics Inc ("us", "we", "our" or the "Company") we value your privacy and the importance of safeguarding your data. This Privacy Policy (the "Policy") describes our privacy practices for the activities set out below. As per your rights, we inform you how we collect, store, access, and otherwise process information relating to individuals. In this Policy, personal data (“Personal Data”) refers to any information that on its own, or in combination with other available information, can identify an individual.
We are committed to protecting your privacy in accordance with the highest level of privacy regulation. As such, we follow the obligations under the below regulations:
This policy applies to the Scry Analytics, Inc. websites, domains, applications, services, and products.
This Policy does not apply to third-party applications, websites, products, services or platforms that may be accessed through (non-) links that we may provide to you. These sites are owned and operated independently from us, and they have their own separate privacy and data collection practices. Any Personal Data that you provide to these websites will be governed by the third-party’s own privacy policy. We cannot accept liability for the actions or policies of these independent sites, and we are not responsible for the content or privacy practices of such sites.
This Policy applies when you interact with us by doing any of the following:
What Personal Data We Collect
When attempt to contact us or make a purchase, we collect the following types of Personal Data:
This includes:
Account Information such as your name, email address, and password
Automated technologies or interactions: As you interact with our website, we may automatically collect the following types of data (all as described above): Device Data about your equipment, Usage Data about your browsing actions and patterns, and Contact Data where tasks carried out via our website remain uncompleted, such as incomplete orders or abandoned baskets. We collect this data by using cookies, server logs and other similar technologies. Please see our Cookie section (below) for further details.
If you provide us, or our service providers, with any Personal Data relating to other individuals, you represent that you have the authority to do so and acknowledge that it will be used in accordance with this Policy. If you believe that your Personal Data has been provided to us improperly, or to otherwise exercise your rights relating to your Personal Data, please contact us by using the information set out in the “Contact us” section below.
When you visit a Scry Analytics, Inc. website, we automatically collect and store information about your visit using browser cookies (files which are sent by us to your computer), or similar technology. You can instruct your browser to refuse all cookies or to indicate when a cookie is being sent. The Help Feature on most browsers will provide information on how to accept cookies, disable cookies or to notify you when receiving a new cookie. If you do not accept cookies, you may not be able to use some features of our Service and we recommend that you leave them turned on.
We also process information when you use our services and products. This information may include:
We may receive your Personal Data from third parties such as companies subscribing to Scry Analytics, Inc. services, partners and other sources. This Personal Data is not collected by us but by a third party and is subject to the relevant third party’s own separate privacy and data collection policies. We do not have any control or input on how your Personal Data is handled by third parties. As always, you have the right to review and rectify this information. If you have any questions you should first contact the relevant third party for further information about your Personal Data.
Our websites and services may contain links to other websites, applications and services maintained by third parties. The information practices of such other services, or of social media networks that host our branded social media pages, are governed by third parties’ privacy statements, which you should review to better understand those third parties’ privacy practices.
We collect and use your Personal Data with your consent to provide, maintain, and develop our products and services and understand how to improve them.
These purposes include:
Where we process your Personal Data to provide a product or service, we do so because it is necessary to perform contractual obligations. All of the above processing is necessary in our legitimate interests to provide products and services and to maintain our relationship with you and to protect our business for example against fraud. Consent will be required to initiate services with you. New consent will be required if any changes are made to the type of data collected. Within our contract, if you fail to provide consent, some services may not be available to you.
Where possible, we store and process data on servers within the general geographical region where you reside (note: this may not be within the country in which you reside). Your Personal Data may also be transferred to, and maintained on, servers residing outside of your state, province, country or other governmental jurisdiction where the data laws may differ from those in your jurisdiction. We will take appropriate steps to ensure that your Personal Data is treated securely and in accordance with this Policy as well as applicable data protection law.Data may be kept in other countries that are considered adequate under your laws.
We will share your Personal Data with third parties only in the ways set out in this Policy or set out at the point when the Personal Data is collected.
We also use Google Analytics to help us understand how our customers use the site. You can read more about how Google uses your Personal Data here: Google Privacy Policy
You can also opt-out of Google Analytics here: https://tools.google.com/dlpage/gaoptout
We may use or disclose your Personal Data in order to comply with a legal obligation, in connection with a request from a public or government authority, or in connection with court or tribunal proceedings, to prevent loss of life or injury, or to protect our rights or property. Where possible and practical to do so, we will tell you in advance of such disclosure.
We may use a third party service provider, independent contractors, agencies, or consultants to deliver and help us improve our products and services. We may share your Personal Data with marketing agencies, database service providers, backup and disaster recovery service providers, email service providers and others but only to maintain and improve our products and services. For further information on the recipients of your Personal Data, please contact us by using the information in the “Contacting us” section below.
A cookie is a small file with information that your browser stores on your device. Information in this file is typically shared with the owner of the site in addition to potential partners and third parties to that business. The collection of this information may be used in the function of the site and/or to improve your experience.
To give you the best experience possible, we use the following types of cookies: Strictly Necessary. As a web application, we require certain necessary cookies to run our service.
We use preference cookies to help us remember the way you like to use our service. Some cookies are used to personalize content and present you with a tailored experience. For example, location could be used to give you services and offers in your area. Analytics. We collect analytics about the types of people who visit our site to improve our service and product.
So long as the cookie is not strictly necessary, you may opt in or out of cookie use at any time. To alter the way in which we collect information from you, visit our Cookie Manager.
A cookie is a small file with information that your browser stores on your device. Information in this file is typically shared with the owner of the site in addition to potential partners and third parties to that business. The collection of this information may be used in the function of the site and/or to improve your experience.
So long as the cookie is not strictly necessary, you may opt in or out of cookie use at any time. To alter the way in which we collect information from you, visit our Cookie Manager.
We will only retain your Personal Data for as long as necessary for the purpose for which that data was collected and to the extent required by applicable law. When we no longer need Personal Data, we will remove it from our systems and/or take steps to anonymize it.
If we are involved in a merger, acquisition or asset sale, your personal information may be transferred. We will provide notice before your personal information is transferred and becomes subject to a different Privacy Policy. Under certain circumstances, we may be required to disclose your personal information if required to do so by law or in response to valid requests by public authorities (e.g. a court or a government agency).
We have appropriate organizational safeguards and security measures in place to protect your Personal Data from being accidentally lost, used or accessed in an unauthorized way, altered or disclosed. The communication between your browser and our website uses a secure encrypted connection wherever your Personal Data is involved. We require any third party who is contracted to process your Personal Data on our behalf to have security measures in place to protect your data and to treat such data in accordance with the law. In the unfortunate event of a Personal Data breach, we will notify you and any applicable regulator when we are legally required to do so.
We do not knowingly collect Personal Data from children under the age of 18 Years.
Depending on your geographical location and citizenship, your rights are subject to local data privacy regulations. These rights may include:
Right to Access (PIPEDA, GDPR Article 15, CCPA/CPRA, CPA, VCDPA, CTDPA, UCPA, LGPD, POPIA)
You have the right to learn whether we are processing your Personal Data and to request a copy of the Personal Data we are processing about you.
Right to Rectification (PIPEDA, GDPR Article 16, CPRA, CPA, VCDPA, CTDPA, LGPD, POPIA)
You have the right to have incomplete or inaccurate Personal Data that we process about you rectified.
Right to be Forgotten (right to erasure) (GDPR Article 17, CCPA/CPRA, CPA, VCDPA, CTDPA, UCPA, LGPD, POPIA)
You have the right to request that we delete Personal Data that we process about you, unless we need to retain such data in order to comply with a legal obligation or to establish, exercise or defend legal claims.
Right to Restriction of Processing (GDPR Article 18, LGPD)
You have the right to restrict our processing of your Personal Data under certain circumstances. In this case, we will not process your Data for any purpose other than storing it.
Right to Portability (PIPEDA, GDPR Article 20, LGPD)
You have the right to obtain Personal Data we hold about you, in a structured, electronic format, and to transmit such Personal Data to another data controller, where this is (a) Personal Data which you have provided to us, and (b) if we are processing that data on the basis of your consent or to perform a contract with you or the third party that subscribes to services.
Right to Opt Out (CPRA, CPA, VCDPA, CTDPA, UCPA)
You have the right to opt out of the processing of your Personal Data for purposes of: (1) Targeted advertising; (2) The sale of Personal Data; and/or (3) Profiling in furtherance of decisions that produce legal or similarly significant effects concerning you. Under CPRA, you have the right to opt out of the sharing of your Personal Data to third parties and our use and disclosure of your Sensitive Personal Data to uses necessary to provide the products and services reasonably expected by you.
Right to Objection (GDPR Article 21, LGPD, POPIA)
Where the legal justification for our processing of your Personal Data is our legitimate interest, you have the right to object to such processing on grounds relating to your particular situation. We will abide by your request unless we have compelling legitimate grounds for processing which override your interests and rights, or if we need to continue to process the Personal Data for the establishment, exercise or defense of a legal claim.
Nondiscrimination and nonretaliation (CCPA/CPRA, CPA, VCDPA, CTDPA, UCPA)
You have the right not to be denied service or have an altered experience for exercising your rights.
File an Appeal (CPA, VCDPA, CTDPA)
You have the right to file an appeal based on our response to you exercising any of these rights. In the event you disagree with how we resolved the appeal, you have the right to contact the attorney general located here:
If you are based in Colorado, please visit this website to file a complaint. If you are based in Virginia, please visit this website to file a complaint. If you are based in Connecticut, please visit this website to file a complaint.
File a Complaint (GDPR Article 77, LGPD, POPIA)
You have the right to bring a claim before their competent data protection authority. If you are based in the EEA, please visit this website (http://ec.europa.eu/newsroom/article29/document.cfm?action=display&doc_id=50061) for a list of local data protection authorities.
If you have consented to our processing of your Personal Data, you have the right to withdraw your consent at any time, free of charge, such as where you wish to opt out from marketing messages that you receive from us. If you wish to withdraw your consent, please contact us using the information found at the bottom of this page.
You can make a request to exercise any of these rights in relation to your Personal Data by sending the request to our privacy team by using the form below.
For your own privacy and security, at our discretion, we may require you to prove your identity before providing the requested information.
We may modify this Policy at any time. If we make changes to this Policy then we will post an updated version of this Policy at this website. When using our services, you will be asked to review and accept our Privacy Policy. In this manner, we may record your acceptance and notify you of any future changes to this Policy.
To request a copy for your information, unsubscribe from our email list, request for your data to be deleted, or ask a question about your data privacy, we've made the process simple:
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Any User Submissions you post to the Website will be considered non-confidential and non-proprietary. By submitting, posting, or displaying content on or through the Website, you grant us a worldwide, non-exclusive, royalty-free license to use, copy, reproduce, process, disclose, adapt, modify, publish, transmit, display and distribute such Content for any purpose, commercial advertising, or otherwise, and to prepare derivative works of, or incorporate in other works, such as Content, and grant and authorize sublicenses of the foregoing. The use and distribution may occur in any media format and through any media channels.
We do not assert any ownership over your Content. You retain full ownership of all of your Content and any intellectual property rights or other proprietary rights associated with your Content. We are not liable for any statement or representations in your Content provided by you in any area in the Website. You are solely responsible for your Content related to the Website and you expressly agree to exonerate us from any and all responsibility and to refrain from any legal action against us regarding your Content. We are not responsible or liable to any third party for the content or accuracy of any User Submissions posted by you or any other user of the Website. User Submissions are not endorsed by us and do not necessarily represent our opinions or the view of any of our affiliates or partners. We do not assume liability for any User Submission or for any claims, liabilities, or losses resulting from any review.
We have the right, in our sole and absolute discretion, (1) to edit, redact, or otherwise change any Content; (2) to recategorize any Content to place them in more appropriate locations in the Website; and (3) to prescreen or delete any Content at any time and for any reason, without notice. We have no obligation to monitor your Content. Any use of the Website in violation of these Terms of Service may result in, among other things, termination or suspension of your right to use the Website.
These Submission Standards apply to any and all User Submissions. User Submissions must in their entirety comply with all the applicable federal, state, local, and international laws and regulations. Without limiting the foregoing, User Submissions must not:
We have the right, without provision of notice to:
You waive and hold harmless company and its parent, subsidiaries, affiliates, and their respective directors, officers, employees, agents, service providers, contractors, licensors, licensees, suppliers, and successors from any and all claims resulting from any action taken by the company and any of the foregoing parties relating to any, investigations by either the company or by law enforcement authorities.
For your convenience, this Website may provide links or pointers to third-party sites or third-party content. We make no representations about any other websites or third-party content that may be accessed from this Website. If you choose to access any such sites, you do so at your own risk. We have no control over the third-party content or any such third-party sites and accept no responsibility for such sites or for any loss or damage that may arise from your use of them. You are subject to any terms and conditions of such third-party sites.
This Website may provide certain social media features that enable you to:
You may use these features solely as they are provided by us and solely with respect to the content they are displayed with. Subject to the foregoing, you must not:
The Website from which you are linking, or on which you make certain content accessible, must comply in all respects with the Submission Standards set out in these Terms of Service.
You agree to cooperate with us in causing any unauthorized framing or linking immediately to stop.
We reserve the right to withdraw linking permission without notice.
We may disable all or any social media features and any links at any time without notice in our discretion.
You understand and agree that your use of the website, its content, and any goods, digital products, services, information or items found or attained through the website is at your own risk. The website, its content, and any goods, services, digital products, information or items found or attained through the website are provided on an "as is" and "as available" basis, without any warranties or conditions of any kind, either express or implied including, but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The foregoing does not affect any warranties that cannot be excluded or limited under applicable law.
You acknowledge and agree that company or its respective directors, officers, employees, agents, service providers, contractors, licensors, licensees, suppliers, or successors make no warranty, representation, or endorsement with respect to the completeness, security, reliability, suitability, accuracy, currency, or availability of the website or its contents or that any goods, services, digital products, information or items found or attained through the website will be accurate, reliable, error-free, or uninterrupted, that defects will be corrected, that our website or the server that makes it available or content are free of viruses or other harmful components or destructive code.
Except where such exclusions are prohibited by law, in no event shall the company nor its respective directors, officers, employees, agents, service providers, contractors, licensors, licensees, suppliers, or successors be liable under these terms of service to you or any third-party for any consequential, indirect, incidental, exemplary, special, or punitive damages whatsoever, including any damages for business interruption, loss of use, data, revenue or profit, cost of capital, loss of business opportunity, loss of goodwill, whether arising out of breach of contract, tort (including negligence), any other theory of liability, or otherwise, regardless of whether such damages were foreseeable and whether or not the company was advised of the possibility of such damages.
To the maximum extent permitted by applicable law, you agree to defend, indemnify, and hold harmless Company, its parent, subsidiaries, affiliates, and their respective directors, officers, employees, agents, service providers, contractors, licensors, suppliers, successors, and assigns from and against any claims, liabilities, damages, judgments, awards, losses, costs, expenses, or fees (including reasonable attorneys' fees) arising out of or relating to your breach of these Terms of Service or your use of the Website including, but not limited to, third-party sites and content, any use of the Website's content and services other than as expressly authorized in these Terms of Service or any use of any goods, digital products and information purchased from this Website.
At Company’s sole discretion, it may require you to submit any disputes arising from these Terms of Service or use of the Website, including disputes arising from or concerning their interpretation, violation, invalidity, non-performance, or termination, to final and binding arbitration under the Rules of Arbitration of the American Arbitration Association applying Ontario law. (If multiple jurisdictions, under applicable laws).
Any cause of action or claim you may have arising out of or relating to these terms of use or the website must be commenced within 1 year(s) after the cause of action accrues; otherwise, such cause of action or claim is permanently barred.
Your provision of personal information through the Website is governed by our privacy policy located at the "Privacy Policy".
The Website and these Terms of Service will be governed by and construed in accordance with the laws of the Province of Ontario and any applicable federal laws applicable therein, without giving effect to any choice or conflict of law provision, principle, or rule and notwithstanding your domicile, residence, or physical location. Any action or proceeding arising out of or relating to this Website and/or under these Terms of Service will be instituted in the courts of the Province of Ontario, and each party irrevocably submits to the exclusive jurisdiction of such courts in any such action or proceeding. You waive any and all objections to the exercise of jurisdiction over you by such courts and to the venue of such courts.
If you are a citizen of any European Union country or Switzerland, Norway or Iceland, the governing law and forum shall be the laws and courts of your usual place of residence.
The parties agree that the United Nations Convention on Contracts for the International Sale of Goods will not govern these Terms of Service or the rights and obligations of the parties under these Terms of Service.
If any provision of these Terms of Service is illegal or unenforceable under applicable law, the remainder of the provision will be amended to achieve as closely as possible the effect of the original term and all other provisions of these Terms of Service will continue in full force and effect.
These Terms of Service constitute the entire and only Terms of Service between the parties in relation to its subject matter and replaces and extinguishes all prior or simultaneous Terms of Services, undertakings, arrangements, understandings or statements of any nature made by the parties or any of them whether oral or written (and, if written, whether or not in draft form) with respect to such subject matter. Each of the parties acknowledges that they are not relying on any statements, warranties or representations given or made by any of them in relation to the subject matter of these Terms of Service, save those expressly set out in these Terms of Service, and that they shall have no rights or remedies with respect to such subject matter otherwise than under these Terms of Service save to the extent that they arise out of the fraud or fraudulent misrepresentation of another party. No variation of these Terms of Service shall be effective unless it is in writing and signed by or on behalf of Company.
No failure to exercise, and no delay in exercising, on the part of either party, any right or any power hereunder shall operate as a waiver thereof, nor shall any single or partial exercise of any right or power hereunder preclude further exercise of that or any other right hereunder.
We may provide any notice to you under these Terms of Service by: (i) sending a message to the email address you provide to us and consent to us using; or (ii) by posting to the Website. Notices sent by email will be effective when we send the email and notices we provide by posting will be effective upon posting. It is your responsibility to keep your email address current.
To give us notice under these Terms of Service, you must contact us as follows: (i) by personal delivery, overnight courier or registered or certified mail to Scry Analytics Inc. 2635 North 1st Street, Suite 200 San Jose, CA 95134, USA. We may update the address for notices to us by posting a notice on this Website. Notices provided by personal delivery will be effective immediately once personally received by an authorized representative of Company. Notices provided by overnight courier or registered or certified mail will be effective once received and where confirmation has been provided to evidence the receipt of the notice.
To request a copy for your information, unsubscribe from our email list, request for your data to be deleted, or ask a question about your data privacy, we've made the process simple: