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Composable Recognized as a “Noteworthy Solution” in Celent’s 2024 North America New Business and Underwriting Systems Report

Composable, a leading provider of innovative data and machine learning solutions for the insurance industry, is proud to announce that it has been recognized as a “Noteworthy Solution” in Celent’s 2024 North America New Business and Underwriting Systems (NBUW) report. This distinction places Composable among the most promising emerging players in the industry, acknowledging its potential to challenge more established competitors.

Celent’s Technical Capability Matrix (TCM) categorizes solutions based on the sophistication of their technology and breadth of functionality. Composable’s recognition as a “Noteworthy Solution” highlights its ability to provide specialized capabilities that address unique market needs, positioning it as a potential leader in the next generation of underwriting systems.

“We are honored to receive this recognition from Celent,” said Andy Vidan, CEO of Composable Analytics, Inc. “This acknowledgment validates our ongoing efforts to deliver cutting-edge solutions that help our customers streamline their underwriting processes and drive operational efficiency. It’s a testament to the hard work of our team and the innovative approach we take in addressing the evolving needs of the insurance industry.”

Celent’s report assesses the technology and functionality of new business and underwriting solutions across a variety of factors, including modernity of codebase, integration capabilities, and the level of feature deployment in the market. Composable’s recognition as a “Noteworthy Solution” underscores its ability to provide significant value to its clients through advanced, flexible, and scalable solutions tailored to the unique challenges of the insurance sector.

About Composable
Composable is a Boston-based technology company specializing in data-driven solutions for the insurance industry. With a focus on streamlining underwriting processes through machine learning and automation, Composable’s platform enables insurers to make more informed decisions, reduce costs, and improve operational efficiency.

Composable Recognized in 2024 Gartner Market Guide for DataOps Tools

Composable Analytics, a leading innovator in DataOps and enterprise AI solutions, is proud to announce its inclusion in the 2024 Gartner® Market Guide for DataOps Tools. This recognition places Composable alongside the most forward-thinking companies in the data operations landscape, highlighting its contributions to improving data pipeline orchestration and automation.

The Gartner Market Guide outlines key capabilities required for modern DataOps tools, emphasizing the need for efficiency, scalability, and real-time data management. Composable’s DataOps platform excels in delivering these features, empowering enterprises to seamlessly manage and automate data workflows, while offering robust machine learning integrations. As data-driven decision-making becomes critical for business success, Composable’s platform ensures customers can harness the full potential of their data, from ingestion to insight.

“We’re honored to be recognized by Gartner in this pivotal guide,” said Andy Vidan, CEO of Composable Analytics. “Our focus has always been on delivering an end-to-end DataOps platform that simplifies complex data environments while driving real value for our customers. This acknowledgment is a testament to our commitment to innovation and operational excellence.”

As companies across industries face growing data complexity, Composable’s advanced tools and solutions ensure that data is efficiently processed, managed, and utilized, helping businesses achieve operational excellence and accelerate digital transformation.

About Composable Analytics
Composable Analytics provides cutting-edge DataOps and machine learning solutions for enterprise-level data management. Headquartered in Boston, MA, the company’s platform enables organizations to automate and streamline complex data processes, from data ingestion to real-time insights, ensuring agility and efficiency in decision-making.

Composable Secures Patent for Intelligent Assistant Technology in Analytics Workflow Automation

Workflow Automation with AI-Driven Recommendations for Analytics Programming

Composable Analytics Inc., a leading innovator in DataOps and Enterprise AI solutions, is proud to announce the issuance of U.S. Patent No. 11,422,776, titled “Intelligent Assistant for Automating Recommendations for Analytics Programs.” This milestone patent solidifies Composable’s position as a pioneer in revolutionizing data analytics development through cutting-edge automation and AI-driven insights.

The patented technology empowers users by providing an intelligent assistant within a programming system, designed to streamline the creation of analytical workflows. As users assemble workflows using a library of function templates, the assistant leverages stored action data and advanced machine learning models, such as Markov or n-gram models, to suggest relevant functions and data flow connections in real-time. This accelerates development and minimizes complexity, particularly when dealing with vast libraries of potential operations.

Key features of the patented technology include:

  • Action-driven recommendations
    • Automatically suggests functions or connections based on user behavior and historical metadata.
  • Context-aware learning
    • Personalizes recommendations using machine learning models trained on past workflows.
  • Enhanced usability
    • Supports a graphical user interface (GUI) to visually assemble and optimize workflows, reducing user effort and increasing efficiency.

“Achieving this patent underscores Composable’s commitment to innovation in DataOps and workflow automation,” said Andy Vidan, CEO of Composable Analytics. “Our intelligent assistant technology not only simplifies programming for data professionals but also ensures that organizations can derive actionable insights faster, with fewer resources.”

This patented technology is a cornerstone of Composable Analytics’ platform, which enables businesses to rapidly integrate, analyze, and act on complex data. By bridging AI and data science with intuitive workflow development, Composable empowers organizations to unlock the full potential of their data assets.

About Composable Analytics Inc.
Based in Cambridge, Massachusetts, Composable Analytics is a leader in DataOps and MLOps, delivering powerful solutions that simplify data integration, analytics, and workflow automation. With a focus on enabling smarter, faster, and more scalable decision-making, Composable drives digital transformation for industries ranging from finance to manufacturing.

For more information, visit composable.ai.

Composable Achieves Preferred Solution Status on Microsoft Azure

Composable’s DataOps and MLOps platform available in the Cloud marketplace delivers Enterprise AI cloud applications.

Cambridge, MA, November 17, 2021 –(PR.com)– Composable Analytics, Inc. announced today that their industry-first comprehensive data operations platform has achieved Preferred Solution status on Microsoft Azure Cloud Marketplace. The Composable DataOps Platform is a full-stack intelligent data operations platform with built-in services for data orchestration, automation and analytics. It accelerates data engineering, preparation and analysis and significantly speeds up the development of enterprise-grade data-intensive applications. Azure Preferred Solutions are selected by a team of Microsoft experts and are published by Microsoft partners with deep, proven expertise and capabilities to address specific customer needs in a category, industry, or industry vertical.

Composable Analytics, Inc. was founded with a mission to leverage technology originally developed at MIT to deploy high performance and highly scalable – or composable – analytical systems. Today, Composable offers a unique, end-to-end data operations ‘integrated development environment’ to meet customer demand for rapid development of advanced data-intensive applications. The Azure Marketplace Preferred Solution status is further industry validation of the Composable DataOps Platform and follows the recent recognition of Composable as a ‘Cool Vendor in DataOps’ by Gartner Research. As noted by Gartner, the Composable DataOps Platform serves as a “cohesive framework for DataOps and as a middleware for data operations or business operations.” Key features cited in the Gartner report include “automatic detection of live schema changes” and “embedding ML or analytics on the fly to build data intensive applications.”

DataOps has emerged as a must-have collaborative data management practice for organizations to truly operationalize their data assets and deliver data-intensive applications. Data and analytics leaders building these Enterprise AI solutions require modern data management solutions. Composable provides a middleware for real-time integration of data, services and systems, with a suite of tools for managing the full data lifecycles (DataOps) as well as managing the end-to-end machine learning lifecycle (MLOps).

Composable is available today on both the Microsoft Azure Marketplace and the Amazon Web Services (AWS) Marketplace, providing global exposure to Azure and AWS customers that are building modern, cloud-native Enterprise AI applications.

To learn more about Composable DataOps Platform, visit composable.ai.

About Composable Analytics, Inc.
Composable Analytics, Inc. builds software that enables enterprises to rapidly adopt a modern data strategy and robustly manage unlimited amounts of data. The Composable DataOps Platform, with core technology developed at MIT for the U.S. Department of Defense, accelerates the development of data-driven applications and serves as a coherent data operations framework for data-intensive applications and Enterprise AI solutions. Composable Analytics, Inc., an MIT Computer Science and Artificial Intelligence (CSAIL) Alliance member, is headquartered in Cambridge, MA. For more information, visit https://composable.ai.

USPTO Issues MIT Patent for Composable Analytics

Patent secures exclusivity for comprehensive composable analytics and end-to-end data operations

The United States Patent and Trademark Office (USPTO) granted Patent No. 11,023,105 for a comprehensive composable analytics environment. The patent, entitled “Systems and Methods for Composable Analytics”, was issued to inventors Lars Fiedler et. al. on June 1, 2021. Together with the recent grant of Composable Analytics, Inc.’s US patent No. 10,466,978 for claims intelligent composable analytical flows, Composable Analytics, Inc. is able to deliver the industry leading Intelligent DataOps platform.

Gartner selects Composable as DataOps Cool Vendor

DataOps, a collaborative data management practice that allows organizations to truly operationalize their data assets, requires a broad set of tools and technologies to achieve data management mastery. Composable, the industry leading Intelligent DataOps platform, provides a comprehensive solution for data operations that enables organizations to rapidly build robust data-intensive applications.

Gartner selected Composable as a Cool Vendor in DataOps in their October 2020 report. The report explains that:

DataOps has emerged as a concept to deliver data to consumers faster, with more resiliency and predictability. Data and analytics leaders implementing DataOps may need to embrace new data management solutions to drive collaboration, knowledge sharing and data availability.

The report was authored by Gartner Analysts Nick Heudecker, Ankush Jain, Saul Judah, Austin Kronz, Robert Thanaraj, and Divya Radhakrishnan.

In the report, Composable was cited for serving as a “cohesive framework for DataOps and as a middleware for data operations or business operations.” Key features listed included “automatic detection of live schema changes” and “embedding ML or analytics on the fly to build data intensive applications.”

You can read the full Gartner Cool Vendors in DataOps report here.

CheckAlt and Composable Analytics Launch Scrypt, AI Data Capture for Document Processing and Payments

CheckAlt partners with MIT big data company to strategically deliver cognitive automation solutions, including machine-learning document processing and payments.

LOS ANGELES (PRWEB) AUGUST 10, 2020

Recognizing the broad impact of artificial intelligence and machine learning in document processing, CheckAlt has launched Scrypt in partnership with Composable Analytics, Inc., introducing cognitive automation to CheckAlt’s industry-leading payment processing solutions.

“Many organizations still struggle with manual business processes, multiple systems, and repetitive, recurring tasks,” said CheckAlt’s Co-Chairman and CEO Shai Stern. “Through our alliance with Composable, our Scrypt platform will further strengthen CheckAlt’s solutions in the payment data capture and integration space. Scrypt technology will be battle-tested and scaled for the benefit of all our clients.”

Composable, a machine-learning and analytics company affiliated with MIT’s Computer Science and Artificial Intelligence Laboratory, CSAIL, will work closely with CheckAlt’s Product and IT teams to facilitate Scrypt’s cognitive automation and deliver intelligent processing solutions for a variety of industry sectors, including property management, healthcare, utilities, municipalities, non-profit, higher education, and small business.

“We’re using advanced analytics techniques including data mining, text analytics, natural language processing and computer vision, to digitally sort, process and code documents,” said Andy Vidan, Ph.D., CEO of Composable Analytics, Inc. “We’re truly excited to partner with CheckAlt to deliver an end-to-end, intelligent, high-volume processing system through Scrypt.”

Companies can no longer grow simply by increasing their workforce; they must leverage technology that can position them to scale. “Process-driven ‘bots’ can replicate specific human actions, efficiently interacting between different systems and applications,” said Lars Fiedler, CTO of Composable Analytics, Inc. “We take this one step further, moving from process-driven to data-driven systems that gain knowledge over time and apply what is learned.”

CheckAlt’s Chief Product and Innovation Officer Bobby Rahmanian said, “At CheckAlt, we are always looking to stay at the forefront of technology when fulfilling our ongoing client commitment to break new ground together. Big data, artificial intelligence, and data-driven decision-making is the future and we are thrilled to partner with Composable on Scrypt to continue to bring innovative solutions to market.”

To learn more about Scrypt, visit https://www.checkalt.com/products/invoice-coding.

About CheckAlt
In the past 10 years, CheckAlt has become the universal payment processing hub for hundreds of financial institutions across the country. As both bank agnostic and demographic agnostic, CheckAlt is uniquely positioned for payments convergence. It has been our focus to process check payments while also eliminating paper from the system with robust electronic payment APIs. CheckAlt’s solutions include lockbox processing across a nationwide hub-and-spoke network of processing sites, consolidated item processing, integrated treasury solutions, and mobile capture services. CheckAlt is headquartered in Los Angeles, Calif. For more information, visit https://www.CheckAlt.com.

About Composable Analytics, Inc.
Composable Analytics, Inc. builds software that enables enterprises to rapidly adopt a modern data strategy and robustly manage unlimited amounts of data. The Composable DataOps Platform, with core technology developed at MIT and the U.S. Department of Defense, accelerates the development of data-driven applications and serves as a coherent data operations framework for data intelligence solutions that leverage disparate data sources, live feeds, and event data regardless of the amount, format or structure of the data. For more information, visit https://composable.ai.

Accelerating Data-Driven Innovation with DataOps

Database Trends and Applications is a magazine covering data and information management, big data, and data science.  Their most recent report covers DataOps:

“Today, data is being created at unprecedented speed. But organizations don’t want to simply capture and store all this data. They want to draw insights from these vast data stores to improve their decision making and rapidly execute changes in order to gain competitive business advantage.”

Read the full report here.

Composable was featured in the issue – the full article can be viewed here.

Composable Granted US Patent: Cements position as the leading Intelligent DataOps Platform

The Industry’s Leading Intelligent DataOps Platform that Radically Transforms Enterprise Data Management


CAMBRIDGE, Mass., November 5, 2019 — Composable Analytics, Inc., a global technology company that builds innovative DataOps products and solutions, was granted a United States Patent #10,466,978 for “Intelligent assistant for automating recommendations for analytics programs.” The patent covers a technology area known as “intelligent augmentation,” where the platform augments the human user to intelligently and efficiently develop business and analytical workflows.

“We continue to push on our mission to give enterprises the power to intelligently consume, manage, explore and harness massive amounts of data,” said Andy Vidan, CEO of Composable Analytics, Inc. “Enterprises are embracing intelligent systems at a record paceWith Composable DataOps Platform, enterprises can now augment their analysts with intelligent recommendations to improve efficiencies and empower all their technical and non-technical users.”

“With our unqiue approach, Composable continuously learns and intelligently recommends steps in the process of developing DataFlow Applications” said Lars Fiedler, CTO of Composable Analytics, Inc. “The platform is using machine learning to help users build machine learning pipelines!”

About Composable Analytics
Composable Analytics, Inc. builds software that enables enterprises to rapidly adopt a modern data strategy and robustly manage unlimited amounts of data. Composable DataOps Platform, a full-stack analytics platform with built-in services for data orchestration, automation and analytics, accelerates data engineering, preparation and analysis. Built with a composable architecture that enables abstraction and integration of any software or analytical approach, Composable DataOps Platform serves as a coherent analytics ecosystem for business users that want to architect data intelligence solutions that leverage disparate data sources, live feeds, and event data regardless of the amount, format or structure of the data. Composable Analytics, Inc. is a rapidly growing data intelligence start-up founded by a team of MIT technologists and entrepreneurs.

Quantum Discoveries and Composable Analytics

Quantum Discoveries and Composable Analytics

Businesses that harvest Big Data to solve previously impossible challenges have emerged as leaders in a highly competitive and evolving global economy. Over the past few years, the amount of data generated by consumers and sensors has exploded. Harnessing the right insights from this data generates enormous competitive advantage. Most data-driven analysis to date has capitalized on the sheer volume of data, the opportunity today is in joining disparate data sets from a variety of sources, to generate actionable insights and additional value. Analytics on truly Big Data, data sets that are great in volume and great variety and generated at high velocity, is challenging, as the data environment is extremely chaotic. There’s no “one size fits all” concept in Big Data, as data is stored in a variety of formats, with different underlying data store, analysis and visualization technologies. When needs arise for cross-cutting analysis or for analytical methods not supplied by any one individual system, the overall analytical process is severely limited. Organizations that successfully overcome this “variety challenge,” are positioned to be game-changers. Much like the blending of data sources to generate new value, the blending of expertise through partnerships and collaborations to execute on new use cases, appears to be the most effective approach.

One such collaboration taking shape is between an early-stage advanced data science startup out of MIT with a new mineral discovery company, Quantum Discoveries (formerly QPX). The goal is extremely ambitious: discover world class mineral deposits by fusing domain experts (e.g., geoscientists) with machines (e.g., Artificial Intelligence) through a disciplined, data-driven, decision making platform to significantly improve the rate of success to find large mineral deposits.