Tag Archives: ML

Picterra raises $6.5M to accelerate its mission of democratizing geospatial mapping

LAUSANNE, Switzerland, 2022-Apr-26 — /EPR INTERNET NEWS/ — Picterra, the leading provider of geospatial machine learning software, today announced the closing of a $6.5M investment. Led by venture capital firm VI Partners, with participation from ACE & Company, the investment will enable Picterra to pursue its mission of democratizing access to Earth observation imagery and geospatial ML.

“We are delighted to announce the closure of this funding round which will allow us to continue to lead the way in geospatial intelligence. VI Partners and ACE & Company closely share our vision and we couldn’t be happier to have them on board. This investment will be used to innovate the platform even further, scale the business, and boost mass adoption from enterprise customers.” – Pierrick Poulenas, CEO & Co-Founder

Earth Observation imagery is this century’s key resource. As satellite and aerial imagery become more accessible, companies are discovering new use cases as part of their data strategy. These include proactive monitoring of transport, infrastructure, and energy networks and ensuring companies meet and exceed their ESG goals. Customers worldwide including SGS, CYIENT, Westwood, and The World Bank use Picterra in their geospatial workflows.

However, the innate scale of such use cases requires smart use of machine learning in order to get useful insights. With Picterra’s no code ML SaaS platform, users can train, manage, and deploy powerful geospatial algorithms that rapidly transform images into real-world positive impact.

As the effects of climate change continue to have a devastating impact on the planet and our lives, Picterra’s mission is to support businesses of any kind to anticipate and mitigate the associated risks, helping humanity make better-informed decisions to protect our global ecosystem.

Olivier Laplace, Partner at VI Partners, said: “In the past decade, satellite and drone prices have been reduced by factors of 100x to 1000x. This is creating an explosion of geospatial images to be analyzed in an affordable way: an exceptional opportunity for Picterra that is well-positioned to become the leader in the democratization of machine learning for geospatial analysis and its many ESG applications.”

Adam Said, Founding Partner and CEO at ACE & Company, said: “The opportunity in mass adoption of geospatial intelligence remains significant, as most organizations have not yet recognized the role this powerful tool can play in their operations. By making ML geospatial analysis accessible to most, Picterra is in a unique position to scale this market by empowering its customers to make better informed decisions in the most cost-effective way.’

Via EPR Network
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PG Services will be demonstrating DB CyberTech’s GDPR solution during Elastic{ON} Frankfurt on October 30, 2018

SAN DIEGO, CA, USA, 29-Oct-2018 — /EPR INTERNET NEWS/ — DB CyberTech, a pioneer in machine learning based predictive data loss prevention, today announced that it is launching into the European market through a partnership with PG Services of Luxembourg. PG Services joins DB CyberTech’s growing partner ecosystem focused on bringing the next generation of truly intelligent cybersecurity solutions to market. DB CyberTech’s European operations will be headquartered in London.

“We’re excited to begin our new partnership with DB CyberTech. PG Services is known for selecting best in class solutions and integrating them into the Elastic SIEM for our global clients,” said Ali Alaie, Managing Director of PG Services. “After careful review and engineering investment in Europe, we selected DB CyberTech’s patented and award winning compliance and security platform to build a modernized connector that now presents critical GDPR discovery and classification data through the Elastic interface. We’re making DB CyberTech’s innovative platform for compliance and security available to all of our global Elastic clients. I’m pleased to showcase the integrated solution at this weeks Elastic{ON} conference in Frankfurt.”

DB CyberTech solutions enable customers with real-time visibility into their structured data for data security and GDPR compliance. The GDPR compliance solution is based on natural language processing to enable automated and continuous identification of high-value and sensitive personal data.

“We’re truly impressed with PG Services extensive experience with Data Analytics and Elastic value-added integrated solutions,” said Ali Hedayati, COO and President of DB CyberTech. “Our solution integration with PG Services Elastic-centric technology enables visualization, analysis, and searching of host intrusion detection alerts. The integration provides customers with comprehensive visibility, intelligent data classification, and automated machine learning for detection of suspicious activity in the data tier for security and GDPR compliancy.”

PG Services will be demonstrating DB CyberTech’s GDPR solution during Elastic{ON} Frankfurt on October 30, 2018.

SOURCE: EuropaWire

Advanced Data Classification now available for DB CyberTech’s #Predictive Data Loss Prevention and #GDPR solutions

SAN DIEGO, CA, United States, 27-Aug-2018 — /EPR INTERNET NEWS/ — DB CyberTech, a pioneer in machine learning based predictive data loss prevention, today announced advanced data classification for structured data as a new capability of their security and privacy platform. This new capability supports compliance with EU’s General Data Protection Regulation (GDPR).

DB CyberTech’s advanced data classification utilizes natural language processing to continuously and accurately identify high value sensitive data such as personal data, intellectual property, and financial information. With this capability, privacy professionals and Data Protection Officers are now able to focus more of their attention on a set of databases that store sensitive data and therefore pose the greatest risk to the organization.

Advanced Data Classification is available now for DB CyberTech’s Predictive Data Loss Prevention and GDPR solutions. Data classification operates completely non-intrusively by analyzing database conversations. No database login credentials are necessary and there’s no impact on database performance.

“To defend against today’s security threats to structured data, DB CyberTech offers database asset discovery, automatic data classification, and continuous monitoring to identify where sensitive data is stored along with which clients and applications process sensitive information,” said Brett Helm, CEO of DB CyberTech. “We then apply machine learning and behavioral analytics to pinpoint rogue activities including insider threats.”

SOURCE: EuropaWire