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Data Startup Cinchapi Announces New Features to its Data Platform

By | Cinchapi, Investor, News, Pitch, Real-Time Data, Startup | No Comments

Data Startup Cinchapi Announces New Features to its Data Platform

Cinchapi Data Platform adds Workflow Automation, Insight Detection, and Recommended Searches; Cinchapi will be a featured Startup at the Collision Conference in New Orleans.

ATLANTA, GA. May 1, 2017 – Fresh on the heels of winning the Atlanta Startup Battle, data startup Cinchapi today announced the addition of a new set of features to the Cinchapi Data Platform (CDP). Building on the company’s core mission of providing computing without complexity, today’s release offers data analysts, data scientists, and business leaders additional capabilities to make working with decentralized real-time data more efficient and intuitive.

Additionally, the company will be showcasing the new features as well as the full capabilities of the platform at the Collision Conference in New Orleans this week. Cinchapi has been selected as one of 66 startups to be a part of the Collision Pitch Competition, with the first round occurring on May 2nd. The firm will also be demonstrating the CDP in the startup hall on May 3rd.

The new features in this build of the Cinchapi Data Platform include:

  • Recommended Searches – The CDP recommends searches based on real-time changes in the connected data sources to ensure that users can easily discover new insights when they’re available.
  • Insight Detection – The CDP runs automated analysis across every aspect of the connected data sources to detect and curate the most important traits.
  • Workflow Automation – The CDP allows users to easily automate complex workflows in response to changes in the underlying data set. For example, a utility company can automatically dispatch a repair crew when the data suggests a meter will become faulty.

These new features add to the compelling value proposition of the platform. By combining machine learning with human intelligence, the Cinchapi Data Platform simplifies the work and enhances the capabilities of data professionals seeking to explore and discover insights within any real-time or conventional data source – including IoT generated data.

“When we released the initial iteration of the CDP, we delivered a solution which simplified the process of data prep and exploration across disparate data sets,” said Jeff Nelson, Founder and CEO of Cinchapi. “Still, we knew that there was room for improvement. The addition of these new features will enhance the discovery of new insights across decentralized data sources, as well as powering complex enterprise automation workflows. Our team looks forward to showcasing these new capabilities at the Collision Conference in New Orleans next week.”

The CDP uses machine learning to be able to interpret and understand any data in any format. Machine learning also makes quick work of data prep and cleanup, so analysts, scientists, and business leaders can explore real-time and conventional data with ad-hoc, context-aware and conversational questions in just a few minutes. Additionally, the machine learning works to automatically uncover otherwise hidden patterns, anomalies, and relationships which may exist across disconnected data sources. Once discovered, the platform can function like a “DVR for Data” allowing users to rewind time to see how these hidden connections were created and how they evolved over time.

Asking questions is the first step in the CDP’s Ask, See, and Act workflow. The platform’s contextual natural language interface allows users to ask questions of the data with common English words and phrases – there is no need to use a cryptic query language in an effort to “solve for x”. Next, the CDP’s analytic engine lets users see the results via vivid visualizations alongside easily understood text-based responses. Lastly, users of the platform can act in a number of compelling ways. These include the ability to quickly identify interesting data which warrants further investigation by a human, it can generate code snippets for use in data-driven applications, and, as part of the newly announced features, the CDP can now trigger or dynamically modify enterprise automation workflows.

To learn more about the Cinchapi Data Platform, or to schedule a demonstration of the platform, please visit https://Cinchapi.com

About Cinchapi

Atlanta-based Cinchapi is transforming how data analysts, scientists, and developers explore and work with data. The Cinchapi Data Platform (CDP) and its Ask, See, and Act workflow was purpose-built to simplify data preparation, exploration, and development. Its natural language interface combined with machine learning and an analytics engine make working with data conversational, efficient, and intuitive. Imposing no schema requirements, the CDP streams, comprehends, and stores definitive data generated in real-time by IoT devices as well as conventional, legacy, and proprietary databases. Learn more about the Cinchapi Data Platform and its #AskSeeAct workflow at https://Cinchapi.com/

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Jeff Nelson Atlanta Startup Battle Winner - Cinchapi

Data Startup Cinchapi Wins Atlanta Startup Battle

By | Cinchapi, Investor, News, Pitch, Startup | No Comments

Data Startup Cinchapi Wins Atlanta Startup Battle

Cinchapi Data Platform makes working with data more intuitive and efficient; VC judges award $100,000 investment prize

ATLANTA, GA. April 14, 2017 – Data startup Cinchapi was named the winner of the second Atlanta Startup Battle pitch competition, held last night at Tech Square Labs in Midtown Atlanta. Cinchapi bested four other startups finalists culled from nearly 400 applicant companies.  With its winning pitch, Cinchapi’s founder and CEO, Jeff Nelson explained how the Cinchapi Data Platform makes the preparation and exploration of data far more intuitive and efficient than previously possible.

The Atlanta Startup Battle judging panel, comprised of current venture capitalists from Silicon Valley and Atlanta, apparently was impressed by how the platform combines machine learning with human intelligence to radically reduce data prep, and to expose patterns, anomalies, and relationships which warrant further investigation.

“I’m honored that the judges understood Cinchapi’s vision of using a combination of human and machine intelligence to deliver real-time analytics.” said Nelson after Cinchapi’s victory was announced. “And I’m super excited to have Paul Judge and Allen Nance on board as advisors and investors. Working with them will help the Cinchapi team scale our business over the next few months.”

Nelson’s winning pitch focused on the Cinchapi Data Platform (CDP) and it’s Ask, See, and Act workflow. In an effort to make data conversational, the platform’s context-aware, natural language interface allows users to ask questions with common English words and phrases. The CDP’s analytic engine lets users see the results via vivid visualizations alongside easily understood text-based responses. Lastly, users of the platform can act by triggering enterprise automation workflows, generating code snippets for use in data-driven applications, or they can quickly identify interesting data which warrants additional investigation by a human.

Indeed, it was the human element that stuck out to investor Allen Nance, one of the founders of Tech Square Labs, and the Atlanta Startup Battle. “We’re living in a world with more data, and the interaction data is more and more complex, “ Nance said from the rooftop of Tech Square Lab where the winner was announced. “Cinchapi is trying to make it human again.”

The Cinchapi Data Platform uses machine learning to radically reduce data prep and cleanup, as well as to uncover hidden patterns, anomalies, or relationships across decentralized or disparate real-time data sources. Once discovered, the platform can function like a “DVR for Data” allowing users to rewind time to see how these hidden connections were created and how they evolved over time. To learn more or to schedule a demonstration of the platform, please visit https://Cinchapi.com

About Cinchapi

Atlanta-based Cinchapi is transforming how data analysts, scientists, and developers explore and work with data. The Cinchapi Data Platform (CDP) and its Ask, See, and Act workflow was purpose-built to simplify data preparation, exploration, and development. Its natural language interface combined with machine learning and an analytics engine make working with data conversational, efficient, and intuitive. Imposing no schema requirements, the CDP streams, comprehends, and stores definitive data generated in real-time by IoT devices as well as conventional, legacy, and proprietary databases. Learn more about the Cinchapi Data Platform and its #AskSeeAct workflow at https://Cinchapi.com/

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2017 Atlanta Startup Battle

Data Startup Cinchapi Advances to Final Round of Atlanta Startup Battle

By | Cinchapi, Investor, News, Pitch, Startup | No Comments

Data Startup Cinchapi Advances to Final Round of Atlanta Startup Battle

Over 400 companies applied to take part in pitch contest; Cinchapi remains as one of five finalists competing for $100,000 investment prize

ATLANTA, GA. April 10, 2017 – This past weekend, data startup Cinchapi emerged as a finalist in the second Atlanta Startup Battle pitch competition. Competing against nine other startups selected from a pool of over 400 applicants, the judges were impressed by the vision and execution of the Cinchapi Data Platform. As one of five finalists, Cinchapi will next deliver its pitch in front of a select audience of 500 on Thursday, April 13, 2017, at Tech Square Labs located in Midtown Atlanta.

2017 Atlanta Startup BattleThe Atlanta Startup Battle is a pitch competition held in Atlanta. Over the course of the competition, startups developed their ideas and presented their pitches to a panel of judges. The panel is comprised of Venture Capitalists from Atlanta and Silicon Valley, who are seeking to build, scale, and fund the next generation of outstanding tech companies.

“Given the quality of competition, it’s truly an honor to be selected as an Atlanta Startup Battle finalist,“ said Cinchapi Founder and CEO, Jeff Nelson. “The reaction of the judges to our pitch reinforces our belief that data analysts and data scientists require a more efficient and intuitive way to prepare, explore, and work with real-time data.”

Nelson’s winning pitch focused on the Cinchapi Data Platform (CDP) and it’s Ask, See, and Act workflow. In an effort to make data conversational, the platform’s context-aware, natural language interface allows users to ask questions with common English words and phrases. The CDP’s analytic engine lets users see the results via vivid visualizations alongside easily understood text-based responses. Lastly, users of the platform can act by triggering enterprise automation workflows, generating code snippets for use in data-driven applications, or they can quickly identify interesting data which warrants additional investigation by a human.

The Cinchapi Data Platform uses machine learning along with human intelligence to radically reduce data prep and cleanup, as well as to uncover hidden patterns, anomalies, or relationships across decentralized or disparate real-time data sources. Once discovered, the platform can function like a “DVR for Data” allowing users to rewind time to see how these hidden connections were created and how they evolved over time. To learn more or to schedule a demonstration of the platform, please visit https://Cinchapi.com

About Cinchapi

Atlanta-based Cinchapi is transforming how data analysts, scientists, and developers explore and work with data. The Cinchapi Data Platform (CDP) and its Ask, See, and Act workflow was purpose-built to simplify data preparation, exploration, and development. Its natural language interface combined with machine learning and an analytics engine make working with data conversational, efficient, and intuitive. Imposing no schema requirements, the CDP streams, comprehends, and stores definitive data generated in real-time by IoT devices as well as conventional, legacy, and proprietary databases. Learn more about the Cinchapi Data Platform and its #AskSeeAct workflow at https://Cinchapi.com/

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Cinchapi Releases Beta Version of Data Platform

By | Cinchapi, Data Visualizations, Natural Language Interface, Natural Language Processing, News, Real-Time Data | No Comments

Cinchapi Releases Beta Version of Data Platform Featuring Machine Learning and a Natural Language Interface to Explore Any Data Source in Real-Time

The Cinchapi Data Platform allows data scientists and analysts to dispense with data prep. Makes data exploration and discovery conversational and actionable.

ATLANTA, GA. March 6, 2017 – Delivering on its promise to take enterprise data from cluster to clarity, Atlanta data startup, Cinchapi, today announced the beta launch of its flagship product, the Cinchapi Data Platform (CDP).  

The Cinchapi Data Platform is a real-time data discovery and analytics engine that automatically learns as humans interact with data and automates their workflows on-the-fly. Cinchapi’s data integration pipeline connects to disparate databases, APIs and IoT devices and streams information to the foundational Concourse Database in real time. Data analysts can then use the Impromptu application to perform ad hoc data exploration using a conversational interface.

The CDP’s analytics engine automatically derives additional context from data and presents the most interesting trends through beautiful visualizations that update in real-time. These visualizations can also be “rewound” to show how data looked in the past and evolved over time – even if the data has been deleted. The CDP’s automated machine intelligence empowers data analysts to immediately explore data using natural language and drill down by asking follow-up questions.

Compared to conventional data management, data teams can expect to shave 50% or more from their analytics tasks. Obstinately a data management platform, the CDP is ideal for anyone looking to explore decentralized or disparate data in search of previously hidden relationships. No matter the nature of the data source – be it any combination of unstructured IoT data, industry standard frameworks, proprietary data, or legacy sources – in just a few minutes, interesting relationships, patterns, or anomalies will be exposed.

Just as powerfully, the Cinchapi Data Platform’s underlying database, Concourse, writes and stores definitive data across time. Like a DVR for data, users can “rewind time” to specific points in the past. They can also can press play to watch as vivid visualizations illustrate how these newly discovered insights were created and how they evolved over time.

“From day one, the Cinchapi vision has been to deliver ‘computing without complexity’”, explains Cinchapi CEO and founder, Jeff Nelson. “I’ve worked with data my entire career and have been frustrated by how much of my time has been spent integrating and cleaning up disparate or decentralized data before being able to explore trends or to begin coding. We knew that by leveraging machine learning, the Cinchapi Data Platform would eliminate the drudgery of data prep. It then instantly exposes the most interesting and relevant data to use or to more fully investigate.”

The End of Data Prep and Cleanup

If asked, those who work with data will tell you that the greatest impediment to working with it is that there is too much of it, and that often, the data is messy. In other words, before an analyst can get insights from data, she has to sift through all of the data to see what she has. She has to determine what data is relevant to the task at hand, and then see how that might relate to other data points.  This data prep and cleanup process can add weeks or months to a project.

As Big Data grows ever larger with data generated by the Internet of Things, it’s a problem which will only increase in scale and complexity. By 2020, BusinessInsider.com predicts that 24 billion IoT devices will be connected to the internet. That works out to about three IoT devices for every person on the planet.  Each of these devices will be generating “messy data”, as there is no standard for what IoT data should look like.

To solve this growing problem, the Cinchapi Data Platform uses machine intelligence to comprehend data, regardless of the source or the schema.  It then looks for relationships, patterns, or anomalies found between otherwise decentralized, disparate, data stores. The CDP was also purpose-built to not impose, nor to rely upon any specific data schema.

This makes the CDP the ideal platform when working with data sources which lack a coherent structure, like IoT data or undocumented legacy or proprietary data. Of course, the Cinchapi Data Platform can also work with industry standard databases like SQL, noSQL, and Oracle.

A Simple, Three Step Workflow

The Cinchapi Data Platform workflow consists of three simple steps: Ask, See, and Act.

Step One, ASK: Once connected to the desired data sources, the first step is to simply ask a question using common English phrases. There is no need to master cryptic data queries in an effort to “solve for x”. Instead, users can ask a question using everyday, conversational phrases. Should the user need a more specific answer, all that she needs to do is ask a follow-up question. With use, the CDP’s machine learning allows the platform to better understand the context of the question asked, further enhancing the user experience.

Step Two, SEE: After questions are asked, next comes the results. Built into the CDP is a powerful analytics engine which provides hidden insights and customized visualizations. This allows users to see relationships and connections which were previously obscured. Even better, with these new relationships now exposed, users can “rewind time” to see how these relationships have evolved and impacted operations in the past.

Step Three, ACT: With the results available, users can then act on the information presented. A data analyst can automate actions with just a few button clicks. A logistics company might find enhanced efficiencies in route planning which could be shared to the fleet in real-time. A CSO in a bank might use its automation capabilities to trigger alerts to a security team when potentially fraudulent activities are detected. Frankly, the possible use cases are endless.

CDP features include:

  • Concourse Database – An enterprise edition of the Cinchapi’s open source database warehouse for transactions, search and analytics across time. This is where streamed data is stored.
  • Sponge – A real-time change data capture and integration service for disparate data sources.
  • Impromptu – A real-time ad-hoc analytics engine that use machine intelligence for workflow automation.

About Cinchapi, Inc.

Atlanta-based Cinchapi is transforming how data scientists, analysts, and developers explore and work with data. The Cinchapi Data Platform (CDP) and its Ask, See, and Act workflow was purpose-built to simplify data preparation, exploration, and development. Its natural language interface combined with machine learning and an analytics engine make working with data conversational, efficient, and intuitive. Imposing no schema requirements, the CDP streams, comprehends, and stores definitive data generated in real-time by IoT devices as well as conventional, legacy, and proprietary databases. Learn more about the Cinchapi Data Platform and its #AskSeeAct workflow at https://Cinchapi.com/

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