Welcome!

News Feed Item

Dais Analytic Wins SBIR Grant

Dais Analytic Receives US Army Small Business Innovation Research Grant to Further Its Demonstrated Successes in Cleaning Most Forms of Wastewater

TAMPA, FL -- (Marketwired) -- 03/27/14 -- Dais Analytic Corporation (OTCBB: DLYT) (OTCQB: DYLT), an advanced materials company focused on commercializing its technology in the worldwide energy and water markets, has entered into an agreement with the US Army for a six month, Phase I Small Business Innovation Research (SBIR) grant titled "Non-Fouling Water Reuse Technologies."

The grant funds Dais to tailor its NanoClear® water cleaning process to meet the needs of field deployed Army units. The NanoClear process has consistently shown Dais's novel Aqualyte® material has the ability to separate most contaminants from water, achieving nearly 'parts per billion' clean product water with little or no fouling of the important membrane component.

The US Army has requested Dais Analytic focus using its industry leading expertise in nanotechnology materials and water treatment to develop a solution to repurpose gray water, created by a number of daily military uses, into potable drinking water. Current solutions require multiple steps and have high maintenance needs not meeting the flexible requirements outlined by the military for use in most field deployed operational environments. The goal of this grant is to offer drinkable water in a single process which is energy efficient, has low maintenance, and is able to treat most all forms of contaminated water created by military field operations. Success by the Dais team with this initial project can potentially lead to further funding useful to move the technology to market.

The NanoClear process works by manipulating key attributes of the Company's patented Aqualyte materials to remove most waterborne contaminants. The results of the Company's pilot water site (named 'Dais-East'), located at a Pasco County wastewater treatment facility with support from Pasco County, played a key role in the award of this grant.

"The Dais team is honored to be selected by the US Army's technical organization for this award. It shows confidence in the work we have completed to date as well as support for the innovations outlined in the program. We want to couple the operational knowledge developed at our Dais-East pilot site with new developments funded by the US Army to optimize our materials and process to meet their needs in critical field applications. We believe this work will accelerate adoption of NanoClear technology with users who desire a low-maintenance method to repurpose wastewater into high quality product water," said Brian C. Johnson, Chief Technology Officer of Dais.

"This award again demonstrates the value of the Dais 'core' materials technology. When the program is complete is projected to offer progress towards commercializing water cleaning applications which reward the confidence of our shareholders and business partners have in us," said Tim Tangredi, President and CEO of Dais.

About Dais Analytic Corporation

Dais Analytic Corporation (OTCBB: DLYT) is commercializing its innovative Aqualyte™ family of nano-structured materials and processes focusing on evolutionary or disruptive air, energy and water applications. The uses include:

  • ConsERV™, a commercially available engineered energy recovery ventilator (an HVAC product) useful for efficient management of ventilation air's temperature and moisture content using the energy found in the outgoing 'stale' air stream to pre-condition the incoming fresh air often saving energy, CO2, and allowing for equipment downsizing;

  • NanoAir™, an early beta-stage water-based, no fluorocarbon producing refrigerant cooling cycle useful to replace the existing gas based compression cooling cycle in most all forms of air-conditioning and refrigeration saving a projected 50% in energy and CO2;

  • NanoClear™, an early beta-stage method for treating contaminated water (sea, waste, industrial) to provide 1,000 times cleaner potable water; and;

  • NanoCAP™, which holds promise to use the Aqualyte™ family to form a disruptive non-chemical energy-storage device (an ultra-capacitor) when completed for use in transportation, renewable energy, and 'smart grid' configurations.

Each use demonstrates the diversity of Dais' core product -- Aqualyte™ -- the family of nano-structured polymers and engineered processes having a focus on minimizing consumption of irreplaceable natural resources, and ending the degradation of our environment. To find out more about Dais please visit www.daisanalytic.com, and to learn more about ConsERV please visit www.conserv.com.

Safe Harbor Statement
This press release includes statements that may constitute forward-looking statements made pursuant to the safe harbor provision of the Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as "will," "expects," "anticipates," "future," "intends," "plans," "believes," "estimates" and similar statements. Statements that are not historical facts, including statements about the Company's beliefs and expectations, are forward-looking statements. Forward-looking statements involve inherent risks and uncertainties that could cause actual results to differ materially from the forward-looking statements. For example, statements about the future sales volume are forward looking and subject to risks. A number of important factors could cause actual results to differ materially from those contained in any forward-looking statement. Potential risks and uncertainties include, but are not limited to, risks outlined in the Company's filings with the U.S. Securities and Exchange Commission. The Company does not undertake any obligation to update any forward-looking statement, except as required under applicable law.

Pamela McMillan
Dais Analytic Corp
11552 Prosperous Dr
Odessa, Fl 33556
727-375-8484 Ext 206
[email protected]

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.

Latest Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.