Patents Assigned to Quantiphi, Inc
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Publication number: 20250238454Abstract: A validation system enables concurrent visual validation of multiple electronic documents. A processor generates a custom user interface (UI) framework comprising two sections. The first section displays document previews, while the second holds extracted data, including identifiers for document and page IDs, along with entity positions and associated values across the documents. Upon user input on a specific document entity in the second section, the validation system concurrently loads document previews in the first section, displaying corresponding data values from the multiple documents. The updated visualization allows for validation and review operations across the documents, utilizing the received user input and loaded information.Type: ApplicationFiled: January 24, 2024Publication date: July 24, 2025Applicant: Quantiphi, IncInventors: Bhaskar Kalita, Arunima Gautam, Sayantani Chaudhuri, Sreejith S, Parikshit Prasann Thatte
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Patent number: 12339845Abstract: Disclosed is a method comprising receiving user query (UQ) indicative of task (202) associated with retrieval of data (204) from database (206) comprising structured and unstructured data sources (SAUDS) (208) and generating relevant response (RR) (210) for UQ; generating task plan (220) for determining embedding (224) for task, performing retrieval task (226) for identifying relevant SAUDS (228), generating relevance scores (230), and when relevance scores indicate unstructured pipeline (232): triggering unstructured data query engine (UDQE) (234, 306) for retrieving data, and generating RR, or when relevance scores indicate structured pipeline (236): triggering structured data query engine (SDQE) (238, 308) for retrieving data, and generating RR, or when relevance scores indicate hybrid pipeline (240): triggering SDQE for retrieving first portion of data (FPD) (242), transforming received UQ and FPD, triggering UDQE for retrieving second portion of data (SPD) (246), and combining FPD and SPD for generatingType: GrantFiled: March 28, 2024Date of Patent: June 24, 2025Assignee: QUANTIPHI, INCInventors: Dagnachew Birru, Ankit Prakash, Ayush Dudhe, Sriram Natarajan, Ashwin Sanjeevan, Muneeswaran I, Saisubramaniam Gopalakrishnan, Harpreet Singh, Hamza Moiyadi, Kanishk Mehta, Vishal Vaddina
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Publication number: 20250200290Abstract: The present disclosure provides a method for recommendation of suitable assets using Large Language Model (LLM), method comprising receiving descriptors for each asset from amongst plurality of assets; generating embeddings for each asset from amongst plurality of assets, by employing LLM; creating database of assets by storing generated embeddings for each asset from amongst plurality of assets in database; receiving user query pertaining to request for recommendation to solve enterprise problem; generating cosine similarity scores, wherein each cosine similarity score is generated between user query and corresponding generated embedding for given asset stored in database of assets; identifying predefined number of similar assets from amongst database of assets, based on highest cosine similarity scores; constructing optimal prompt based on identified predefined number of similar assets and user query; and prompting LLM, using constructed optimal prompt for generating response as recommendation of identifiedType: ApplicationFiled: December 19, 2023Publication date: June 19, 2025Applicant: Quantiphi, IncInventors: Dagnachew Birru, Ankit Prakash, Jasprit Kaur, Ashwin Sanjeevan, Sriram Natarajan
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Publication number: 20250131926Abstract: The present disclosure provides a system for adapting legacy servers to operate within a Rasa NLU framework. The system includes a first server configured to store domain-specific functions configured to perform tangible domain-specific operations, a Rasa NLU server configured to receive a user request and a processor configured to execute an API call to an API handler based on the user request using a webhook configuration and execute domain-specific functions in the first server by executing the API handler by matching a conditional statement defined in the API handler specific to the user intent to be executed. Further, the processor is configured to cause the first server to perform tangible domain-specific operations based on the executed one or more domain-specific functions. The system avoids use of external libraries like the Rasa SDK while adapting or integrating the existing legacy server with the Rasa NLU server.Type: ApplicationFiled: October 19, 2023Publication date: April 24, 2025Applicant: Quantiphi, Inc.Inventors: Reghupathi Hariharan, Sijil S.
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Publication number: 20250077555Abstract: A method for multi-stage processing of user queries for enhanced information retrieval. The method includes generating self-complete derived queries from a search query. The method includes extracting query entities from each derived query and mapping the query entities with a plurality of electronic documents to identify a set of relevant electronic documents. The method includes sorting the derived queries based on the number of relevant electronic documents related to each derived query to obtain a sorted sequence of derived queries and searching a result for each derived query sequentially from the set of relevant electronic documents according to the sorted sequence of derived queries, and appending the result retrieved for one derived query with a consequent derived query to obtain a final search result. The method involves breakdown of a search query into derived queries and resolve each derived query separately and sequentially to reduce complexity and computation cost.Type: ApplicationFiled: August 29, 2023Publication date: March 6, 2025Applicant: Quantiphi, IncInventors: Dagnachew Birru, Saisubramaniam Gopalakrishnan, Muneeswaran I, Rohit Agrawal, Vishal Vaddina
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Publication number: 20250005007Abstract: A method for processing one or more electronic documents for enhanced search includes defining a bounding box around each key and value of key-value pairs in a first schema file, tagging coordinates of a key corresponding to a first bounding box and coordinates of a value corresponding to a second bounding box in the first schema file. Furthermore, obtaining a first inference file, detecting coordinates of a key corresponding to a third bounding box, and determining coordinates of a fourth bounding box and the value of the first inference file that are determined by applying a normalization operation. Thereafter, extracting value encompassed by the fourth bounding box of the first inference file and automatically creating a searchable index of the first inference file with searchable key-value pairs. The method achieves an efficient and accurate clustering of data items with an accurate, meaningful, and formal objective function.Type: ApplicationFiled: June 29, 2023Publication date: January 2, 2025Applicant: Quantiphi, IncInventors: Reghupathi Hariharan, Shubham Kackar, Palash Nimodia, Neelesh Kumar Yadav, V B Krishna Sai Phani Kumar Avanigadda
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Publication number: 20240370730Abstract: A method and system for optimizing performance of Genetic Algorithm (GA) in solving scheduling problem is disclosed. The method includes receiving input constraints associated with supply and demand sides, for scheduling problem. The method include initializing set of schedules using initializer that sets initial set of solutions for GA to start optimization. The method may include generating parent population for GA. The method may include creating child population via evolution using current probabilistic parameters including crossover and mutation operators. The method may include utilizing a Multi-Level Hierarchical Grouping (MLHG) to de-duplicate child population. The method includes determining a new population from a total population including the parent population and the child population, using custom multi-objective sorting technique. The method may further include updating probabilistic parameters of the GA during runtime using runtime adapter, when pre-determined iterations unattained.Type: ApplicationFiled: July 9, 2024Publication date: November 7, 2024Applicant: Quantiphi, IncInventors: Dagnachew Birru, Achint Chaudhary, Anirudh Deodhar
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Publication number: 20240370778Abstract: A method and system for updating prediction model for curing process design is disclosed. The method includes updating a prediction model based on the input through a semi-supervised learning technique. The method may include receiving an input corresponding to a curing process. The method may further include generating a second set of experiments using the updated prediction model and an optimization component associated with the prediction model. The method may further include obtaining a second set of data upon performing a second set of experiments on a physical set-up. The method may further include determining an error between the predicted set of data and the second set of data. The method may further include updating the prediction model based on the second set of data when the error is out of a predefined threshold.Type: ApplicationFiled: July 9, 2024Publication date: November 7, 2024Applicant: Quantiphi, IncInventors: Dagnachew Birru, Anirudh Deodhar, Milad Ramezankhani, Rishi Yash Parekh
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Publication number: 20240320483Abstract: Disclosed is a method for identifying multi-level hierarchical relationships between data elements of a document, the method comprising receiving a plurality of sample documents each having a plurality of data elements arranged in a multi-level hierarchical data structure; classifying each of the plurality of data elements into a key entity field or a key field value based on a hierarchical relationship therebetween; identifying key entity fields, from among the classified key entity field of the plurality of data elements, having the hierarchical relationship therebetween; pairing the key entity field, with a corresponding key field value or an identified key entity field, to form a training dataset; and employing the training dataset on a neural network framework, having at least one of a textual modality or a visual modality, to identify the multi-level hierarchical relationships between the data elements of the document.Type: ApplicationFiled: March 21, 2023Publication date: September 26, 2024Applicant: Quantiphi, IncInventors: Bhaskar Kalita, Karthik Kumar Veldandi, Jeevan Prakash, Alok Kumar Garg, Sagar Kewalramani
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Publication number: 20240289609Abstract: Disclosed is a system and a method for training a neural network to detect one or more anomalies in an event data. The system comprises a processing arrangement, communicably coupled to a database configured to store the event data. Herein, the processing arrangement is configured to receive event data associated with a plurality of log events for a given time period, pre-process the received event data to generate refined event data, process the refined event data using an encoder architecture of the processing arrangement, to generate one or more event embeddings based on a first transformation model, and wherein the second encoder is configured to generate one or more contextual embeddings based on a second transformation model for each log event, and process the one or more contextual embeddings via at least one statistical technique to generate an embedding matrix to detect the one or more anomalies.Type: ApplicationFiled: February 27, 2023Publication date: August 29, 2024Applicant: Quantiphi, IncInventors: Dagnachew Birru, Muneeswaran I, Vishal Vaddina, Dhruv Mathew
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Publication number: 20240221870Abstract: Disclosed is a system and a method for translating an image of a structural formula of a chemical molecule into a textual identifier therefor utilizing unique tokens for each of known entities. The method comprises pre-processing the image of the structural formula to generate a standardized image; processing the standardized image using an encoder-decoder architecture, wherein an encoder generates embeddings for features in the standardized image and a decoder is implemented to associate each of the features to one of the unique tokens; recurrently processing each of the features in the standardized image for predicting corresponding unique token to generate multiple possible sequences, and dynamically calculating a correctness probability for each of the generated sequences; selecting one of the sequences with highest calculated correctness probability; and generating the textual identifier, as an output, based on the selected one of the sequences.Type: ApplicationFiled: December 28, 2022Publication date: July 4, 2024Applicant: Quantiphi IncInventors: Dagnachew Birru, Sofia P. Moschou, Mahdieh Khalilinezhad
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Publication number: 20240212379Abstract: Methods, systems and computer program products for generating standardized structured data from unstructured and semi-structured images of document pages is disclosed. The embodiments include a training framework where, boundaries of one or more instances of a first and a second set-of-fields are detected, from images of document pages and tagged using unique labels. Individual fields within the set-of-fields are identified and associated with each instance and the unique labels, to generate large number of synthetically labelled documents. A neural network model is trained using the original document image and the large number of generated synthetically labelled documents. An inference framework receives as input scanned images of unstructured and semi-structured document pages. Custom object recognition module identifies different set-of-fields, and an OCR module recognizes the text from the input images. The outputs of these modules are stitched together to create a standardized structured data.Type: ApplicationFiled: December 23, 2022Publication date: June 27, 2024Applicant: Quantiphi Inc.Inventors: Bhaskar Kalita, Karthik Kumar Veldandi, Alok Kumar Garg, Sagar Kewalramani, Arunima Gautam
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Publication number: 20240193157Abstract: Disclosed is a system and a method for semantic search in an enterprise. The method comprises defining entities in the enterprise, indexing content from one or more data sources of the enterprise to determine relationships between individual pieces of the content and one or more of the entities, providing an interface to allow a user to enter a search query, parsing the search query, determining relevant pieces of the content based on the parsed search query, identifying the one or more of the entities for each of the relevant pieces of content based on the relationships therebetween and configuring the interface to display each of the relevant pieces of the content under respective one or more of the entities in response to the search query.Type: ApplicationFiled: December 11, 2022Publication date: June 13, 2024Applicant: Quantiphi IncInventors: Asif Hasan, Kanishk Mehta, Satyam Upadhyay, Vivek Tripathi, Raj Joshi, Sarthak Phatate, Bala Manikanta Thirunagaru
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Publication number: 20230409904Abstract: A method and system of predicting molecular properties is provided herein. The method includes representing a molecule as a graph and a string. The method further includes encoding the graph into a first feature representation and the string into a second feature representation, using a graph neural network and a transformer-based network, respectively. The method further includes concatenating the first feature representation obtained from the graph neural network and the second feature representation obtained from the transformer-based network to create a combined feature representation. The method further includes fusing the combined feature representation using a linear layer to obtain a synergistic combined feature representation for the molecule. The method further includes predicting one or more molecular properties for the molecule using the synergistic combined feature representation and a predictor network.Type: ApplicationFiled: August 24, 2023Publication date: December 21, 2023Applicant: Quantiphi, IncInventors: Dagnachew Birru, Mukkamala Venkata Sai Prakash, Saisubramaniam Gopalakrishnan, Nareddy Siddartha Reddy, Ganesh Laxman Parab, Vishal Vaddina
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Publication number: 20230360783Abstract: A method and system for optimal scheduling of nursing services in a hospital is provided herein. The method and system comprises forecasting demand for the nursing services for a time interval based on historical data and external data. The method and system further comprises extracting nurses' availability data for the time interval. The method and system comprises aggregating constraints applicable to the nursing services. The method and system also comprises computing a schedule of nurses based on the constraints using at least an optimization model.Type: ApplicationFiled: July 13, 2023Publication date: November 9, 2023Applicant: Quantiphi, IncInventors: Dagnachew Birru, Timothy Elwell, Sofia P Moschou, Achint Chaudhary
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Publication number: 20230351121Abstract: A method and system for generating conversation flows is provided herein. The method and system comprise storing conversations between at least an agent and at least a user in logs. Further, the method and system comprise extracting topics from the logs. Also, the method and system comprise creating clusters from the extracted topics. The method and system further comprise generating the conversation flows from the clusters.Type: ApplicationFiled: July 1, 2023Publication date: November 2, 2023Applicant: Quantiphi, IncInventors: Asif Hasan, Gaurav Johar, Kanishk Mehta, Sreevasthavan K C, Akash Mourya, Himanshu Kumar, Surya S G, Harshit Shah, Ashwini Patil, Saravanan Murugan, Anuja Anil Kumar Singh, Tridib Paul
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Publication number: 20230352155Abstract: A method and system for forecasting demand for nursing services in a hospital herein. The method and system comprises accessing external data and historical data of a hospital. The method and system further comprises combining the external data and historical data of a hospital to form a structured data aggregation. Further, the structured data aggregation is processed. The method and system further comprises forecasting for a time interval, the demand for nursing services. In addition, work drivers are an accurate workload indicator for nurse workload planning and takes into consideration patient-dependent diversified needs. Furthermore, the system comprises a productivity index that accounts for nurses down-time and administrative tasks that need to be subtracted from the time spent on clinical tasks. This is used to schedule accurately the nurse rota based on realistic hospital needs and uses historic data to predict the upcoming demand over different ranges of time-horizons.Type: ApplicationFiled: July 8, 2023Publication date: November 2, 2023Applicant: Quantiphi, IncInventors: Dagnachew Birru, Timothy Elwell, Sofia P. Moschou, Srinivas Kulkarni
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Publication number: 20230351159Abstract: A method and system for augmenting a neural network is provided herein. The method comprises connecting an input layer to a pre-input layer. The method further comprises joining a hidden layer to the input layer. The method comprises linking an output layer to the hidden layer. The method further comprises connecting a layer for computing physics equations to the output layer. The neural network system further comprising, an input layer, a hidden layer connected to the input layer and an output layer joined to the hidden layer. The system further comprising a layer for computing physics equations connected to the output layer and a pre-input layer attached to the input layer.Type: ApplicationFiled: July 11, 2023Publication date: November 2, 2023Applicant: Quantiphi, IncInventors: Dagnachew Birru, Sofia P Moschou, Shoumik Majumdar, Rishi Yash Parekh, Dhruv Mathew
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Publication number: 20230342557Abstract: A method and system for training a virtual agent is provided herein. The method and system comprises storing conversations between the virtual agent and a user in logs. The method and system further comprises mining the logs to retrieve utterances. The method and system further comprises computing regression for each of the plurality of the charging time segments. The method and system further comprises providing a score to the utterances. Further, the method ranking the utterances based on the score.Type: ApplicationFiled: June 28, 2023Publication date: October 26, 2023Applicant: Quantiphi, IncInventors: Asif Hasan, Gaurav Johar, Kanishk Mehta, Sreevasthavan K C, Akash Mourya, Himanshu Kumar, Surya S G, Harshit Shah, Ashwini Patil, Saravanan Murugan, Anuja Anil Kumar Singh, Tridib Paul
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Publication number: 20230316096Abstract: The disclosure provides a system, a method, and a computer program product for displaying a a Knowledge Graph at a client device. The method comprises receiving a sequence of selection elements in the Knowledge Graph, by a user. The method may include displaying the sequence of selected elements in a last in, first out order on selecting a UI component by the user. Also, the method may enable saving a state of display on closing display of the Knowledge Graph. Further, on reopening the display of the Knowledge Graph the saved state is rendered. The method also provides box select and panning feature for visually manipulating the Knowledge Graph. Further, in order to optimally execute the above features, nodes and edges which are the elements of a Knowledge Graph are stored in array data structures.Type: ApplicationFiled: June 5, 2023Publication date: October 5, 2023Applicant: Quantiphi, IncInventors: Dagnachew Birru, Vishal Vaddina, Somil Shah, Kenneth Rebello