Click here to close now.


Java IoT Authors: Pat Romanski, Liz McMillan, Elizabeth White, Betty Zakheim, Steve Watts

News Feed Item

Ayasdi Launches With $10 Million From Khosla Ventures and FLOODGATE to Pioneer Automated Insight Discovery From 'Big Data'

Based on 12 Years of R&D at Stanford, Funded by DARPA, Ayasdi Delivers the First Platform That Uses Topological Data Analysis (TDA) to Solve World's Most Profound and Expensive Problems

PALO ALTO, CA -- (Marketwire) -- 01/16/13 -- Ayasdi ( today announced that it has received $10.25 million in a Series A funding led by Khosla Ventures and FLOODGATE. Ayasdi has created the world's first Insight Discovery platform, a technology that combines advanced mathematics, computer science, and visualization to help organizations find breakthrough insights in large and complex datasets that lead to impactful outcomes.

Ayasdi represents the culmination of a decade long research effort at Stanford, led by renowned mathematics professor and Ayasdi Co-Founder Gunnar Carlsson, and funded by the Defense Advanced Research Projects Agency (DARPA) and the National Science Foundation. Ayasdi enables organizations of any size to automatically find answers to questions they did not know to ask. Ayasdi overcomes the limitations of biased and query-driven "Big Data" approaches to reveal never-before-seen insights within a matter of minutes.

"At Khosla Ventures, we love companies that take a disruptive approach to transform an industry, as Ayasdi's team is doing in the field of big data," said Vinod Khosla, Founder, Khosla Ventures. "Ayasdi's Insight Discovery platform utilizes machine powered intelligence to unearth important -- and previously unattainable -- answers that will help solve some of the most pressing global, social, and economic issues."

Today, "Big Data" Fails to Solve Big Problems Because Query-Based Approaches are Flawed
Governments, businesses, and scientists have spent the last 30 years and billions of dollars attempting to address many of the world's biggest problems by analyzing data. Although Big Data tools have improved over the last 10 years, they have failed to yield breakthrough insights because data analysis methods have not evolved.

Since the creation of SQL in the 1980s, data analysts have tried to find insights by asking questions and writing queries. This approach has two fundamental flaws. First, all queries are based on human assumptions and bias. Secondly, query results only reveal slices of data and do not show relationships between similar groups of data. While this method can uncover clues about how to solve problems, it is a game of chance that usually results in weeks, months, and years of iterative guesswork.

The Ayasdi Breakthrough: Discovering Answers to Questions You Didn't Know to Ask
Ayasdi's Insight Discovery platform delivers insights, derived from massive and complex datasets, quickly and without queries. It is the first machine learning platform that combines computer science and a branch of mathematics known as Topological Data Analysis (TDA) that visualizes the entire dataset. Ayasdi's platform explores datasets with hundreds of machine learning algorithms in minutes to automatically discover insights that could not be determined through query-based or ad hoc approaches.

Ayasdi is designed for any type of user -- from domain experts to data scientists and researchers -- and does not require coding or model building. The cloud-based platform scales to meet the most demanding processing requirements and is secured using industry standard encryption. Ayasdi is engineered to complement other Big Data solutions and can work with datasets of any size or type including structured and unstructured.

Ayasdi is now actively working with Global 1000 customers to solve critical issues:

  • Discover New Drugs: First insight in 8 hours from 100+ hours leading to expedited clinical trials.
  • Improve Cancer Therapy: Recently, Ayasdi discovered new insights from an 11-year breast cancer dataset that included new sub-populations of breast cancer survivors.
  • Explore New Energy Sources: Identified data patterns leading to more predictive drilling.
  • Predict Fraud: Found unknown fraud relationships leading to new preventive measures.
  • Prevent Terrorist Attacks: Analyzed large corpus of text data revealing hidden patterns.

"The answers to today's most important scientific, business and social problems lie in data," said Gurjeet Singh, CEO of Ayasdi. "The biggest challenge in Big Data today is asking the right questions of data. The power of Ayasdi is its unique ability to automatically discover insights -- regardless of complexity -- without asking questions. Ayasdi's customers can finally learn the answers to questions that they didn't know to ask in the first place. Simply stated, Ayasdi is 'digital serendipity.'"

Industry Leaders Attest to the Power of Ayasdi
"The technology at Ayasdi, based on Topological Data Analysis, is one of the top 10 innovations developed at DARPA in the last decade and is the key to unlocking some of the biggest national security challenges that we face today," said Tony Tether, Former Director, Defense Advanced Research Projects Agency (DARPA).

"As one of the largest medical genetics centers in the United States, we conduct pioneering research to identify the genetic susceptibilities -- or predispositions -- of many diseases, including cancer. Ayasdi has already helped us glean new insights that will lead to breakthrough drug discoveries," said Eric Schadt, Director of the Icahn Institute of Genomics and Multiscale Biology at Mt. Sinai.

"UCSF and Ayasdi are collaborating together to develop new diagnostics and evaluate therapies for traumatic brain and spinal injuries. By utilizing Ayasdi's technology and Topological Data Analysis, we've been able to find insightful patterns in complex data that we are hopeful will lead us to new ways to treat, prevent and manage such traumatic injuries," said Adam R. Ferguson, Ph.D., Principal Investigator, UCSF Brain and Spinal Injury Center.

About Khosla Ventures
Khosla Ventures offers venture assistance, strategic advice and capital to entrepreneurs. The firm helps entrepreneurs extend the potential of their ideas in breakthrough technologies in clean energy, mobile, IT, cloud, big data, storage, health, food, agriculture and semiconductors. Vinod Khosla founded the firm in 2004 and was formerly a General Partner at Kleiner Perkins and co-founder of Sun Microsystems. Khosla Ventures is based in Menlo Park, Calif. More information is available at

About Ayasdi
Ayasdi brings a pioneering approach to solve the world's most complex problems with the first Insight Discovery platform that automatically discovers insights from data. Founded in 2008 after a decade of research at Stanford, DARPA, and NSF, Ayasdi uses Topological Data Analysis (TDA) to reinvent how we find knowledge from data without asking questions, writing queries or code. By pairing hundreds of mathematical algorithms with machine powered intelligence, Ayasdi enables end users and domain experts to discover knowledge from massive datasets in seconds to minutes, often finding answers to questions that one would not know to ask of their data. Funded by Khosla Ventures and FLOODGATE, Ayasdi's customers include some of the world's largest organizations in government, financial services, oil and gas, and life sciences. To learn more, visit or follow us @ayasdi.

PR Contact
Michael Lindenberger
Reidy Communications
Email Contact

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

@ThingsExpo Stories
Growth hacking is common for startups to make unheard-of progress in building their business. Career Hacks can help Geek Girls and those who support them (yes, that's you too, Dad!) to excel in this typically male-dominated world. Get ready to learn the facts: Is there a bias against women in the tech / developer communities? Why are women 50% of the workforce, but hold only 24% of the STEM or IT positions? Some beginnings of what to do about it! In her Day 2 Keynote at 17th Cloud Expo, Sandy Carter, IBM General Manager Cloud Ecosystem and Developers, and a Social Business Evangelist, wil...
PubNub has announced the release of BLOCKS, a set of customizable microservices that give developers a simple way to add code and deploy features for realtime apps.PubNub BLOCKS executes business logic directly on the data streaming through PubNub’s network without splitting it off to an intermediary server controlled by the customer. This revolutionary approach streamlines app development, reduces endpoint-to-endpoint latency, and allows apps to better leverage the enormous scalability of PubNub’s Data Stream Network.
Apps and devices shouldn't stop working when there's limited or no network connectivity. Learn how to bring data stored in a cloud database to the edge of the network (and back again) whenever an Internet connection is available. In his session at 17th Cloud Expo, Ben Perlmutter, a Sales Engineer with IBM Cloudant, demonstrated techniques for replicating cloud databases with devices in order to build offline-first mobile or Internet of Things (IoT) apps that can provide a better, faster user experience, both offline and online. The focus of this talk was on IBM Cloudant, Apache CouchDB, and ...
I recently attended and was a speaker at the 4th International Internet of @ThingsExpo at the Santa Clara Convention Center. I also had the opportunity to attend this event last year and I wrote a blog from that show talking about how the “Enterprise Impact of IoT” was a key theme of last year’s show. I was curious to see if the same theme would still resonate 365 days later and what, if any, changes I would see in the content presented.
Cloud computing delivers on-demand resources that provide businesses with flexibility and cost-savings. The challenge in moving workloads to the cloud has been the cost and complexity of ensuring the initial and ongoing security and regulatory (PCI, HIPAA, FFIEC) compliance across private and public clouds. Manual security compliance is slow, prone to human error, and represents over 50% of the cost of managing cloud applications. Determining how to automate cloud security compliance is critical to maintaining positive ROI. Raxak Protect is an automated security compliance SaaS platform and ma...
Most of the IoT Gateway scenarios involve collecting data from machines/processing and pushing data upstream to cloud for further analytics. The gateway hardware varies from Raspberry Pi to Industrial PCs. The document states the process of allowing deploying polyglot data pipelining software with the clear notion of supporting immutability. In his session at @ThingsExpo, Shashank Jain, a development architect for SAP Labs, discussed the objective, which is to automate the IoT deployment process from development to production scenarios using Docker containers.
Countless business models have spawned from the IaaS industry – resell Web hosting, blogs, public cloud, and on and on. With the overwhelming amount of tools available to us, it's sometimes easy to overlook that many of them are just new skins of resources we've had for a long time. In his general session at 17th Cloud Expo, Harold Hannon, Sr. Software Architect at SoftLayer, an IBM Company, broke down what we have to work with, discussed the benefits and pitfalls and how we can best use them to design hosted applications.
We all know that data growth is exploding and storage budgets are shrinking. Instead of showing you charts on about how much data there is, in his General Session at 17th Cloud Expo, Scott Cleland, Senior Director of Product Marketing at HGST, showed how to capture all of your data in one place. After you have your data under control, you can then analyze it in one place, saving time and resources.
The Internet of Things (IoT) is growing rapidly by extending current technologies, products and networks. By 2020, Cisco estimates there will be 50 billion connected devices. Gartner has forecast revenues of over $300 billion, just to IoT suppliers. Now is the time to figure out how you’ll make money – not just create innovative products. With hundreds of new products and companies jumping into the IoT fray every month, there’s no shortage of innovation. Despite this, McKinsey/VisionMobile data shows "less than 10 percent of IoT developers are making enough to support a reasonably sized team....
Just over a week ago I received a long and loud sustained applause for a presentation I delivered at this year’s Cloud Expo in Santa Clara. I was extremely pleased with the turnout and had some very good conversations with many of the attendees. Over the next few days I had many more meaningful conversations and was not only happy with the results but also learned a few new things. Here is everything I learned in those three days distilled into three short points.
DevOps is about increasing efficiency, but nothing is more inefficient than building the same application twice. However, this is a routine occurrence with enterprise applications that need both a rich desktop web interface and strong mobile support. With recent technological advances from Isomorphic Software and others, rich desktop and tuned mobile experiences can now be created with a single codebase – without compromising functionality, performance or usability. In his session at DevOps Summit, Charles Kendrick, CTO and Chief Architect at Isomorphic Software, demonstrated examples of com...
As organizations realize the scope of the Internet of Things, gaining key insights from Big Data, through the use of advanced analytics, becomes crucial. However, IoT also creates the need for petabyte scale storage of data from millions of devices. A new type of Storage is required which seamlessly integrates robust data analytics with massive scale. These storage systems will act as “smart systems” provide in-place analytics that speed discovery and enable businesses to quickly derive meaningful and actionable insights. In his session at @ThingsExpo, Paul Turner, Chief Marketing Officer at...
In his keynote at @ThingsExpo, Chris Matthieu, Director of IoT Engineering at Citrix and co-founder and CTO of Octoblu, focused on building an IoT platform and company. He provided a behind-the-scenes look at Octoblu’s platform, business, and pivots along the way (including the Citrix acquisition of Octoblu).
In his General Session at 17th Cloud Expo, Bruce Swann, Senior Product Marketing Manager for Adobe Campaign, explored the key ingredients of cross-channel marketing in a digital world. Learn how the Adobe Marketing Cloud can help marketers embrace opportunities for personalized, relevant and real-time customer engagement across offline (direct mail, point of sale, call center) and digital (email, website, SMS, mobile apps, social networks, connected objects).
The Internet of Everything is re-shaping technology trends–moving away from “request/response” architecture to an “always-on” Streaming Web where data is in constant motion and secure, reliable communication is an absolute necessity. As more and more THINGS go online, the challenges that developers will need to address will only increase exponentially. In his session at @ThingsExpo, Todd Greene, Founder & CEO of PubNub, exploreed the current state of IoT connectivity and review key trends and technology requirements that will drive the Internet of Things from hype to reality.
Two weeks ago (November 3-5), I attended the Cloud Expo Silicon Valley as a speaker, where I presented on the security and privacy due diligence requirements for cloud solutions. Cloud security is a topical issue for every CIO, CISO, and technology buyer. Decision-makers are always looking for insights on how to mitigate the security risks of implementing and using cloud solutions. Based on the presentation topics covered at the conference, as well as the general discussions heard between sessions, I wanted to share some of my observations on emerging trends. As cyber security serves as a fou...
With all the incredible momentum behind the Internet of Things (IoT) industry, it is easy to forget that not a single CEO wakes up and wonders if “my IoT is broken.” What they wonder is if they are making the right decisions to do all they can to increase revenue, decrease costs, and improve customer experience – effectively the same challenges they have always had in growing their business. The exciting thing about the IoT industry is now these decisions can be better, faster, and smarter. Now all corporate assets – people, objects, and spaces – can share information about themselves and thei...
The cloud. Like a comic book superhero, there seems to be no problem it can’t fix or cost it can’t slash. Yet making the transition is not always easy and production environments are still largely on premise. Taking some practical and sensible steps to reduce risk can also help provide a basis for a successful cloud transition. A plethora of surveys from the likes of IDG and Gartner show that more than 70 percent of enterprises have deployed at least one or more cloud application or workload. Yet a closer inspection at the data reveals less than half of these cloud projects involve production...
Discussions of cloud computing have evolved in recent years from a focus on specific types of cloud, to a world of hybrid cloud, and to a world dominated by the APIs that make today's multi-cloud environments and hybrid clouds possible. In this Power Panel at 17th Cloud Expo, moderated by Conference Chair Roger Strukhoff, panelists addressed the importance of customers being able to use the specific technologies they need, through environments and ecosystems that expose their APIs to make true change and transformation possible.
Microservices are a very exciting architectural approach that many organizations are looking to as a way to accelerate innovation. Microservices promise to allow teams to move away from monolithic "ball of mud" systems, but the reality is that, in the vast majority of organizations, different projects and technologies will continue to be developed at different speeds. How to handle the dependencies between these disparate systems with different iteration cycles? Consider the "canoncial problem" in this scenario: microservice A (releases daily) depends on a couple of additions to backend B (re...