DefinedCrowd releases new feature at TechCrunch Disrupt NY

SEATTLE, WA – DefinedCrowd Corp., a startup that allows companies to collect, enrich and train data for artificial intelligence (AI) applications, was selected to participated on TechCrunch Startup Battlefield NY. The enterprise revealed on stage the Multimodal Workflow, a new feature of the platform.

TechCrunch’s Startup Battlefield is one of the most important and competitive event for tech startups. This year’s acceptance rate was less than 3% and the top companies selected pitched their business during TechCrunch Disrupt NY to a specialized jury, and a vast live audience, while the event was livestreamed to all the world.

“This is truly an honor,” states Dr. Braga, CEO of DefinedCrowd. “It’s great to be among the few selected to pitch their companies on stage. TechCrunch has always been a reference to us and it’s really exciting for us to be part of this.” The video of the presentation is available on TechCrunch’s Youtube Channel.

Dr. Braga revealed the new feature of DefinedCrowd’s platform on stage, the Multimodal Workflow. This template will serve clients with specific need of synchronized data collections from different inputs. With spontaneous scenarios or scripted prompts clients can now collect speech, video and even biometrics data all synchronized and ready to be used. Beside demographic configuration (Language and Proficiency, Gender, Age and Country), the clients can set up the collection environment to theirs needs, for example, selecting from home, living-room, office or In-car environments and optimize the noise conditions and recording distance.

They’re able to choose the output quality and format of video and audio as well as combine different physiological signals, as Heart Beat, Respiratory Rate or EDA and other sensors as GPS and Accelerometer. All the other settings are optional and configurable, so clients have access to a complex but flexible workflow, easy to use and configured to their needs.

“This feature allows us to meet the market requests, since there is an increasing number of AI companies needing synchronized data to train their models. This new workflow enables the creation of data needed to build a service that will monitor our vital signs and recommend a calming playlist when we’re stressed, for instance,” explains Dr. Braga. “It’s really exciting for us to release the Multimodal workflow at Startup Battlefield, which will give us a huge exposure,” she adds.

TechCrunch Disrupt NY, which Startup Battlefield is part of, took place in New York from May 15th to 17th.

DefinedCrowd is one of the fastest growing tech startups. Founded in August 2015, it’s one of the few companies that has clients since day one. Their customers include Nikon, Jibo, Accenture, and other 500 Fortune companies. Accelerated by the Microsoft Ventures Seattle program, DefinedCrowd counts with investments from Sony Innovation Fund and Amazon Alexa, among others.

DefinedCrowd Announces Alpha Release of Enterprise Software-as-a-Service

The initial release focuses on speech and NLP data workflows optimized for AI, chatbot and personal assistant applications

SEATTLE, WA – DefinedCrowd Corp., an intelligent data platform helping data scientists enrich and train data for artificial intelligence (AI) applications, today announced the release of the alpha version of their Software-as-a-Service (SaaS) for enterprise-scale speech technologies and natural language processing (NLP). With its expertise in speech and natural language technologies, the DefinedCrowd platform combines machine learning and data science with the global power and scale of modern crowdsourcing. It enables enterprises to improve quality, scalability, and time-to-market for the speech and NLP components of AI applications. The announcement was made in a blog post by Dr. Daniela Braga, the Chief Executive Officer of DefinedCrowd.

The alpha version of the SaaS for enterprise customers released today focuses on the core strength of DefinedCrowd – speech and NLP data workflows. Optimized for AI and machine learning (ML) applications, the platform enables enterprise data scientists to collect and enrich data from scratch or have their own data being cleaned and structured.

Instead of spending months building engineering infrastructure to collect and label data, with the new platform from DefinedCrowd, data scientists can select from a series of specialized built-in data workflows that will guide them through a smart combination of humans in the loop and machine learning models in 46 languages to deliver back high quality structured data in a faster turnaround time than typically experienced. In the alpha version, the data workflows released include: speech data collections, speech transcription and validation, data collection and semantic tagging for chatbots building, and sentiment tagging, and semantic annotation.

“Releasing our alpha version of the enterprise SaaS is a milestone we’re incredibly excited about since it gets us one step closer to realizing our vision to be the top source for data scientists everywhere to collect, enrich and structure high quality data quickly, competitively and at scale,” said Dr. Braga.

“This product that we’re launching, a data platform to enable data scientists to build personal assistants and chatbots, is the first of many products in our roadmap. There’s a high demand to accelerate innovations around AI so we can all benefit from the promises it will bring from improved productivity to making better decisions. DefinedCrowd wants to be the partner of choice for the AI builders ushering in this new revolution.”

To learn more about the DefinedCrowd, please visit definedcrowd.ai

DefinedCrowd Announces New Private Beta Platform

SEATTLE, WA – DefinedCrowd Corp., a next-generation data science company for artificial intelligence (AI), today announced at TechCrunch Japan the release of their private beta global intelligent data platform for enterprise-scale speech technologies and natural language processing (NLP). With its expertise in speech and natural language technologies, the DefinedCrowd platform combines machine learning and data science with the global power and scale of modern crowdsourcing. It enables enterprises to improve quality, scalability, and time-to-market for the speech and NLP components of AI applications. The announcement was made during a keynote speech by Dr. Daniela Braga, DefinedCrowd’s Chief Executive Officer.

Today, the company released the latest phase of speech processing program templates and introduced their first image collection and enrichment data pipeline, marking the first step into the exploding AI-based image enrichment market. All of these new pipelines enable enterprises to define and distribute speech and natural language programs for processing through the DefinedCrowd global Crowd-as-a-Service platform. The updated templates released today include, among others: speech data collections for acoustic model training, queries and text variants collections, dialogue systems testing, emotion labeling, and image and video tagging. These add to the previously announced pipelines which included semantic annotation for natural language understanding, mean opinion score for text-to-speech evaluation, text and audio validation, and orthographic transcription for automatic speech recognition.

“We are incredibly excited to announce our private beta and ongoing updates and releases of our intelligent data platform today,” said Dr. Braga. “With the release of our latest wave of speech and NLP process program templates, we are helping enterprises accelerate data training and modeling using modern data science and AI methodologies.”

Additionally, the company announced that it is now capable of executing programs in over 53 countries spanning more than 46 languages and more than 100 dialects. “Our crowd continues to grow at an unprecedented pace,” said Dr. Braga. “As always, we believe the combination of our highly qualified and global Crowd-as-a-Service platform with modern machine learning capabilities enables our platform to make the most intelligent speech and NLP processing program recommendations in the market today. The end result is improved quality, reduced cost and faster time-to-market for our customers.”

To learn more about the DefinedCrowd, please visit https://www.definedcrowd.com/

DefinedCrowd Announces $1.1 Million Series Seed Funding

KIRKLAND, WA — (September 1, 2016) – DefinedCrowd Corp., a next-generation data science company focused on building data refinery platforms for machine learning and artificial intelligence, today announced a $1.1 million Series Seed funding round which included Sony Innovation Fund, Amazon Alexa Fund, and Portugal Ventures. The investment will be used to accelerate the development of the DefinedCrowd software-as-a-service platform, which combines machine learning and data science with the global power and scale of modern crowdsourcing to enable enterprises to improve quality, scalability, and time-to-market for their artificial intelligence and natural language processing applications.

“We are incredibly excited to announce the close of our Series Seed round and the set of incredible strategic partners that we now have as we continue to execute on our vision of becoming the best platform for adding intelligence to artificial intelligence and machine learning companies and applications,” said Dr. Daniela Braga, Chief Executive Officer of DefinedCrowd. “With this funding we plan on accelerating the release of our SaaS-based product line: we will add more data pipelines, more crowd management and crowd diversity features, more quality control and data security features and more enterprise scalability. We have been listening to customers globally, refining our feature set, and are ready to execute. We’re also starting to expand our services to European and Asian markets. We couldn’t be more excited.”

“The goal of the Alexa Fund is to fuel voice technology innovation and DefinedCrowd is doing exciting work to advance machine learning and artificial intelligence,” said Steve Rabuchin, Vice President, Amazon Alexa. “Their platform helps data scientists and developers build natural language applications faster and with higher-quality without requiring deep knowledge of speech science or natural language understanding and we’re glad the Alexa Fund investment can help expand those capabilities.” Additionally, DefinedCrowd announced that the company has extended their global crowdsourcing audience to over 36 countries covering over 30 languages and 100+ dialects, as well as extended their crowdsourcing audience by over 100%. “We are very focused on extending our data pipelines and templates to bring easy-to-use, enterprise-class crowdsourcing and data enrichment services to global companies everywhere,” said Dr. João Freitas, Chief Technical Officer. “We expect to add more self-

service features, continue our investment on specialization on data for AI, workflow and process templates, with state of the art reporting and analytics services, and robust REST APIs. Our ultimate goal is to build the most modern data enrichment platform available to enterprises everywhere.” To learn more about the DefinedCrowd, please visit https://www.definedcrowd.com

DefinedCrowd Announces New Intelligent Data Platform for Speech and Language Technologies

KIRKLAND, WA – (February 4, 2016) — DefinedCrowd Corp., a next-generation data science company for artificial intelligence (AI), today announced the launch of their global intelligent data platform for enterprise-scale speech technology and natural language processing (NLP) programs.  With its expertise in speech and natural language technologies, the DefinedCrowd platform combines machine learning and data science with the global power and scale of modern crowdsourcing. It enables enterprises to improve quality, scalability, and time-to-market for their speech and NLP applications.  

“We are incredibly excited to announce our intelligent data platform today. Our goal is to combine advanced data science and machine learning techniques with the global scale of Crowd-as-a-Service capacity. Our platform is designed to bring to the market a smarter data processing solution for AI applications,” said Amy Du, Chief Executive Officer of DefinedCrowd.  “As natural user interfaces continue to evolve, we believe that voice will become the primary input and response mechanism for all human-computer interactions. Today we have launched our intelligent data platform for speech and NLP applications and we will continue to add more features over time to support AI customers’ and partners’ data needs.” 

Additionally, DefinedCrowd announced that the company has been accepted into Microsoft Ventures Seattle Accelerator for Spring 2016. As one of the selected companies, DefinedCrowd will participate in an intensive four-month program to advance its product roadmap and market position.  Moreover, as part of the Microsoft Ventures program, DefinedCrowd will gain early access to key machine learning technologies and collaborate with Microsoft senior leadership and partners.

“We are extremely excited to be joining the next batch of the Microsoft Ventures Accelerator,” said Dr. Daniela Braga, President and Chief Scientist. “We already have a long list of Fortune 500 customers that are interested in or are already working with our platform. We believe that Microsoft Ventures Seattle will further accelerate our development and expansion.”

To learn more about the DefinedCrowd, please visit https://www.definedcrowd.com/

DefinedCrowd Releases Initial Set of Intelligent Data Program Templates

KIRKLAND, WA — DefinedCrowd Corp., a next-generation data science company for artificial intelligence (AI), today announced the private beta release of their first set of intelligent data program templates. The DefinedCrowd platform is a global data acquisition and enrichment platform designed for enterprise-scale speech technology and natural language processing (NLP) data programs. With its expertise in speech and natural language technologies, the platform combines machine learning and data science with the global power and scale of modern crowdsourcing. It enables enterprises to improve quality, scalability, and time-to-market for their speech and NLP applications.

The company has now released their initial set of speech data program templates to enable enterprises to define and distribute the most common speech and natural language data programs internationally. The eight templates released today include, among others: Semantic Annotation for Natural Language Understanding, Mean Opinion Score for Text-to-Speech Evaluation, Text-to-Audio Validation and Orthographic Transcription for Automatic Speech Recognition. More templates and data pipelines will be released over the next few months.

“We are incredibly excited to announce the private beta release of our first intelligent data program templates today,” said Amy Du, Chief Executive Officer of DefinedCrowd. “With the launch of our initial wave of speech and NLP data program templates, we help accelerate global enterprise data training and modeling using data science and machine learning capabilities.”

Additionally, DefinedCrowd shared that the company is now capable of executing in over 30 countries and over 100 dialects. “Addressing the opportunity and challenge of the global AI data market requires a new approach,” said Dr. Daniela Braga, President and Chief Scientist. “We believe the combination of our worldwide Crowd-as-a-Service platform with machine learning capabilities enables DefinedCrowd to provide large volumes of intelligent data quickly for today’s speech data scientists. The end result is improved quality, reduced cost and faster time-to-market.” To learn more about the DefinedCrowd, please visit https://www.definedcrowd.com/