Welcome!

@CloudExpo Authors: Elizabeth White, Liz McMillan, Yeshim Deniz, Zakia Bouachraoui, Pat Romanski

News Feed Item

Engagement Labs Shares for Debt Settlement

MONTREAL, QUEBEC -- (Marketwired) -- 06/26/14 -- Engagement Labs Inc. (TSX VENTURE: EL) (the "Corporation") announces that it has agreed to a shares for debt settlement transaction with one of its service providers (the "Creditor"), pursuant to which the Corporation will issue 325,000 common shares (the "Shares") and pay the Creditor an amount of $8,000 to settle an outstanding debt in the amount of $351,690.77 for legal services rendered to the Corporation (the "Transaction"). The closing trading price of the Shares on June 26, 2014 was ($0.55). As part of the Transaction, the Corporation has agreed to pay the Creditor an additional aggregate sum of up to $100,000 conditional upon the Corporation completing one or more transactions, each for gross cumulative proceeds of a minimum of $500,000, by way of equity financing, debt financing, sale of assets or any form of business combination, merger or amalgamation resulting in the Corporation increasing its cash position.

The Shares to be issued to the Creditor will be subject to a four-month plus one-day hold period from the distribution date, pursuant to securities legislation and the policies of the TSX Venture Exchange (the "TSXV"). The Shares have not been nor will they be registered under the United States Securities Act of 1933, as amended, or state securities laws, and may not be offered or sold in the United States or to an account for the benefit of US persons, absent such registration or an exemption from registration.

The Transaction remains subject to the approval of the TSX Venture Exchange.

About Engagement Labs

Engagement Labs offers real-time, intelligent social media data, analytics and insights for organizations that are actively engaging on social and digital networks. The Company extracts business intelligence from user generated data (BIG DATA) and transforms it into actionable data for corporate clients, brands and social media teams. Engagement Labs created eValue™ analytics, an Intelligent Data on Demand platform for agencies, marketing teams and dashboard providers. Offered under SaaS or through an API, eValue™ analytics PRO supports the entire social marketing cycle by providing over 250 comprehensive, intelligent metrics to measure social performance and ROI for brands to evaluate and coordinate social media activities across all online channels (social media sites, forums, news and blogs). Engagement Labs is listed on the TSX Venture exchange (TSX VENTURE: EL) and has offices in Montreal, Toronto, Mexico and Paris. www.engagementlabs.com / www.evalueanalytics.com

Contacts:
Engagement Labs
Julie Bourbonniere, Conversational marketing
514-317-6448, ext.106
(c) 514-993-8530
[email protected]

Engagement Labs
Paul Allard, CEO
(c) 514-831-4245
[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.

CloudEXPO Stories
Using new techniques of information modeling, indexing, and processing, new cloud-based systems can support cloud-based workloads previously not possible for high-throughput insurance, banking, and case-based applications. In his session at 18th Cloud Expo, John Newton, CTO, Founder and Chairman of Alfresco, described how to scale cloud-based content management repositories to store, manage, and retrieve billions of documents and related information with fast and linear scalability. He addressed the challenges of scaling document repositories to this level; architectural approaches for coordinating data; search and storage technologies, Solr, and Amazon storage and database technologies; the breadth of use cases that modern content systems need to support; how to support user applications that require subsecond response times.
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-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
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 detail these pain points and explain how cloud can address them.