Category: Technology

Hospitality/Real Estate Veteran Brings Decades of Industry Experience to leader in fully automated, reservable meeting spaces.

SAN JOSE, CA, UNITED STATES, March 5, 2026 /EINPresswire.com/ — ZenSpace, Inc., the pioneer in fully automated, IoT-enabled meeting spaces, today announced that Alexi Khajavi has joined its Board of Directors.

Khajavi is Group President of Hospitality & Operational Real Estate at Questex and serves on the Board of Directors of the American Hotel & Lodging Association (AHLA). Khajavi brings more than two decades of leadership across the global media, advertising, marketing, hospitality, travel, and events industries. At Questex, he oversees a portfolio of world-class events and media properties that convene senior decision-makers from across the hospitality and commercial real estate ecosystem.

His appointment reflects ZenSpace’s growing momentum and the increasing demand for intelligent, on-demand workspace solutions in high-traffic public environments. “The way people meet and work in public spaces is fundamentally changing, and the opportunity this creates for real estate operators and asset managers is compelling,” said Khajavi. “ZenSpace has built something truly differentiated—a platform that turns any space into a bookable, technology-enabled workspace. I’m excited to work alongside the team as the company enters its next phase of growth.”

“Alexi is one of the most respected leaders in the hospitality and commercial real estate industry,” said Mayank Agrawal, CEO and Founder of ZenSpace. “His experience, relationships, and strategic perspective will be invaluable as we scale. We’re thrilled to welcome him to the board.”

About ZenSpace
ZenSpace, Inc. is the pioneer in fully automated, technology-enabled meeting spaces. The company combines modular, soundproof SmartPods with its proprietary Space OS platform to deliver on-demand, IoT-connected workspaces for enterprises, public venues, and live events. ZenSpace transforms underutilized spaces into bookable, revenue-generating environments. For more information, visit zenspace.io.

About Alexi Khajavi
Alexi Khajavi is Group President of Hospitality & Operational Real Estate at Questex, a leading global information services and events company. He serves on the Board of Directors of the American Hotel & Lodging Association and has held advisory roles with the Center for Responsible Travel at Stanford University and the Center for Health and the Global Environment at Harvard School of Public Health. He holds a B.A. from the University of California, Santa Cruz, where he graduated magna cum laude with distinction and honors.

Ted Simon
ZenSpace Inc
ted@zenspace.io

ZenSpace helps the Prince Waikiki Resort turn idle lobby space into a revenue generating guest amenity

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New feature removes the requirement for external Git accounts, allowing Salesforce teams to automate deployments and version control with zero initial setup.

LANDSBERG AM LECH, BAVARIA, GERMANY, March 5, 2026 /EINPresswire.com/ — OrgFlow, the leading provider of Git-based DevOps solutions for the Salesforce platform, today announced the launch of Managed Repositories. This new feature fundamentally changes the entry point for Salesforce development teams by removing the technical barrier of manual Git repository configuration.

Managed Repositories allow users to initiate modern Salesforce DevOps workflows without needing to “bring their own” Git accounts from third-party providers. Instead, OrgFlow automatically creates and maintains a secure Git repository on behalf of the user. This update is designed to significantly reduce the time, effort, and specialized knowledge previously required to implement a robust Continuous Integration and Continuous Deployment (CI/CD) pipeline.

“Our goal has always been to bridge the gap between Salesforce environments and version control,” said a spokesperson for OrgFlow. “By offering Managed Repositories, we are making ‘True Git-based DevOps’ accessible to teams who want the power of industry-standard software engineering without the overhead of managing complex infrastructure.”

For many Salesforce administrators and low-code developers, the initial setup of a version control system has historically been a point of friction. OrgFlow’s Managed Repositories act as the single source of truth, seamlessly syncing metadata between production and sandboxes. This automation prevents “code clobbering”—the common issue where developers accidentally overwrite each other’s work—and ensures a clean, auditable history of all changes.

The feature integrates directly with OrgFlow’s existing Web UI and CLI interfaces. While the system manages the repository, teams still benefit from OrgFlow’s advanced metadata normalization and smart merging algorithms. This ensures that even “no-code” changes made directly in the Salesforce UI are attributed to the correct author and safely stored in version control.

The release of Managed Repositories is available immediately to all OrgFlow users, further cementing the tool’s position as the most interoperable and user-friendly DevOps bridge for the Salesforce ecosystem.

About OrgFlow:
OrgFlow is a specialized DevOps and CI/CD tool built exclusively for Salesforce. It prioritizes speed, security, and scalability by treating Git as the source of truth for all Salesforce metadata. With interfaces for both admins and engineers, OrgFlow enables hybrid teams to collaborate effectively while maintaining modern software engineering standards.

Spencer Williams
Scale Selling Corporation
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Salesforce DevOps: From 0 to Hero in 10 Minutes!

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GA, UNITED STATES, March 5, 2026 /EINPresswire.com/ — In some of the planet’s darkest and most complex aquatic environments, conventional sensors struggle to see, hear, or survive. A new study reveals how cavefish have solved this challenge through evolutionary design. By combining anatomical analysis with advanced fluid dynamics simulations, researchers show that distinctive features—such as duckbilled heads, dorsal horns, and humps—dramatically amplify hydrodynamic signals along the fish’s body. These structures increase pressure-gradient signals by up to 429.8% and velocity-related stimuli by up to 69.2%, effectively extending perceptual range while using fewer sensory organs. The findings offer a quantitative blueprint for designing energy-efficient artificial lateral line (ALL) systems, paving the way for smarter autonomous underwater vehicles in data-scarce and sensitive ecosystems.

Monitoring groundwater caves, turbid estuaries, and deep-sea systems is critical for understanding biodiversity, nutrient cycling, and climate change impacts. Yet optical and acoustic technologies often fail in these lightless, hydraulically complex environments due to rapid signal attenuation and high energy demands. Engineers have attempted to mimic the biological “lateral line” system of fish, but most artificial designs rely on simplified, uniform sensor layouts without a clear guiding principle for optimal placement. Meanwhile, cave-dwelling fishes of the genus Sinocyclocheilus have evolved in total darkness for about 10.16 million years, developing unusual cranial structures and highly specialized mechanosensory systems. Based on these challenges, a deeper investigation into how morphology enhances hydrodynamic perception became necessary.

In a study (DOI: 10.1016/j.ese.2026.100677) published in Environmental Science and Ecotechnology on February 12, 2026, researchers from Tsinghua University, the Kunming Institute of Zoology (Chinese Academy of Sciences), and collaborating institutions investigated how three Sinocyclocheilus species detect water flow in subterranean habitats. Using neuromast vital staining and validated computational fluid dynamics (CFD) simulations, the team examined how distinctive head structures influence pressure gradients and wall shear stress—key signals detected by the lateral line systems. The results reveal an evolution-guided strategy for sensor placement with direct implications for underwater robotics.

The researchers studied a morphological series: the surface-adapted S. grahami, and two cave-specialized species, S. rhinocerous and S. furcodorsalis. Fluorescent staining revealed that although the cave species possess significantly fewer neuromasts—reflecting energy conservation in nutrient-poor caves—their sensory units are strategically positioned.

To understand why, the team constructed high-resolution 3D models of each fish and simulated steady gliding flow at biologically relevant Reynolds numbers. The models quantified two primary hydrodynamic cues: differential pressure (ΔCp), linked to canal neuromasts, and wall shear stress (Cf), associated with superficial neuromasts. The results were striking. Compared with the surface species, troglobitic cavefish amplified differential pressure signals by up to 429.8% and velocity-derived signals by up to 69.2%. Secondary pressure peaks emerged near the duckbilled head and hump, effectively extending perceptual range along the body. Importantly, regions of maximal hydrodynamic variation closely matched neuromast clusters observed experimentally. Virtual removal of the horn showed that the duckbilled head and hump—not the horn alone—were primary drivers of signal amplification, while the horn enhanced localized dorsal sensitivity. Together, these findings reveal a principle of biological optimization: fewer sensors, but placed where flow gradients are strongest.

“Our findings show that cavefish don’t simply add more sensors to survive in darkness,” said the corresponding author. “Instead, evolution reshapes the body to amplify the signals each sensor receives. It’s a remarkably efficient strategy—reducing metabolic cost while increasing perceptual power.” The researcher noted that this morphology-driven amplification could fundamentally change how engineers design artificial lateral line (ALL) systems. “Nature is telling us where to place sensors: not uniformly, but precisely at hydrodynamic ‘hotspots’.”

The study establishes a quantitative, evolution-guided framework for optimizing ALL sensor arrays. By positioning sensors at locations where pressure gradients and velocity changes are naturally amplified, autonomous underwater vehicles could monitor groundwater aquifers, coral reefs, and deep-sea habitats with lower energy consumption and higher signal fidelity. Such bio-inspired systems may enhance early detection of ecological disturbances, pollutant transport, and biodiversity shifts in environments where traditional sonar or optical systems underperform. Beyond environmental monitoring, the findings may influence robotic navigation, stealth sensing, and adaptive underwater exploration, demonstrating how millions of years of evolution can inform the next generation of engineering innovation.

DOI
10.1016/j.ese.2026.100677

Original Source URL
https://doi.org/10.1016/j.ese.2026.100677

Funding information
This work is financially supported by the National Natural Science Foundation of China (No. U2243222), Tsinghua University, China (No. 2022Z11QYJ044), National Key R&D Program of China (No. 2024YFA1803200), Yunnan Provincial Major Project for Basic Research (No. 202501BC070018) and Coordinate Innovation Center Projects (No. B2106019).

Lucy Wang
BioDesign Research
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Operationally Proven Security Operations Platform Consolidates Fragmented Security Stacks, Now Available Across Major Global Markets

DOVER, DE, UNITED STATES, March 5, 2026 /EINPresswire.com/ — NewEvol today announced the commercial availability of its next-generation SIEM and unified security operations platform across major global markets. Built on the Dynamic Threat Defense operating model, the platform delivers a purpose-built, unified foundation that consolidates detection, investigation, and response into an integrated operational system.

Dynamic Threat Defense is a continuous security operating model that integrates machine learning, behavioral analytics, threat intelligence, and automated response into a unified workflow. The platform continuously correlates telemetry, adapts as threats evolve, and executes defensive actions in real-time, enabling coordinated containment rather than sequential alert handling.

Security environments have become more distributed and unpredictable, while adversaries increasingly leverage automation and AI to accelerate attacks and evade static defenses. Alert-based, tool-dependent architectures struggle to keep pace. NewEvol replaces fragmented workflows with continuous telemetry correlation and orchestrated response within a unified system, enabling adaptive containment from initial signal through remediation.

“Security operations must evolve beyond fragmented, sequential models,” said Sachhin Gajjaer, Group CEO and Founder, NewEvol. “We built NewEvol to change the operating model. By combining a unified security operations platform with Dynamic Threat Defense, we replace static rules and manual coordination with a continuous, adaptive system that contains threats as they develop. That shift from reaction to coordinated defense is what ultimately reduces impact.”

Engineered from Frontline SOC Experience

NewEvol was developed by SOC analysts, security professionals, and engineers who bring more than a decade of experience operating in active production environments. Since 2018, the team has applied this frontline expertise to build and refine workflows, automation logic, and machine learning models that reflect real operational practices. This practitioner-driven foundation delivers consistent performance under real-world pressure.

Operational Simplicity and Lower Total Cost of Ownership

By consolidating multiple tools into a single integrated architecture, NewEvol reduces administrative overhead and eliminates complex integration maintenance. Streamlined onboarding and flexible deployment options accelerate time-to-value while supporting predictable cost models. The result is measurable operational efficiency without additional headcount or infrastructure sprawl.

Availability

NewEvol is now available to enterprise SOC teams and technology partners, including MSSPs, VARs, system integrators, and distributors across major global markets. Regional partner initiatives and localized market programs are planned throughout 2026.
To request a demonstration, visit https://www.newevol.io/landing-page/
For more information, visit www.newevol.io

About NewEvol

NewEvol is a next-generation SIEM and unified security operations platform built on the Dynamic Threat Defense operating model. Developed by practitioners with more than a decade of real-world security operations experience, the platform consolidates detection, investigation, and response, shortening detection-to-containment time while reducing operational complexity and total cost of ownership.

NewEvol is developed by Sattrix Software Solutions, an enterprise software engineering company specializing in advanced analytics and large-scale platforms, with offices in the USA, MEA, India, Malaysia, and Spain.

Media Relations
Sattrix Software Solutions
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Backed by certified financial planners, Fiscor is developing a self-directed trading system to integrate long-term financial modeling with investment execution

SAN FRANCISCO, CA, UNITED STATES, March 5, 2026 /EINPresswire.com/ — Fiscor, a modern financial planning platform focused on long-term wealth modeling, today announced the upcoming release of its integrated self-directed trading platform. The expansion follows the company’s public launch and pre-seed funding round backed by licensed financial advisors.

Founded in 2025, Fiscor has raised early-stage capital from industry professionals who provide strategic alignment and operational insight. With this funding, the company has:

• Built and publicly launched its automated financial planning platform
• Developed a proprietary long-term projection engine
• Built structured scenario modeling architecture
• Engineered a forward-looking net worth and retirement simulation system
• Completed development of its integrated user-directed trading platform
• Established early adoption among long-term wealth-focused users

The company’s development to date reflects a focused, capital-efficient build strategy centered on core financial infrastructure.

One Financial Ecosystem: Planning and Execution

Financial planning and investment execution have historically existed in separate systems. Fiscor is unifying these functions into a single financial ecosystem that allows individuals to move from structured long-term planning to direct self-directed execution within the same environment.

The platform enables users to:
• Monitor real-time net worth
• Model retirement and financial independence
• Analyze income streams and liabilities
• Simulate major financial decisions
• Evaluate multiple forward-looking scenarios

Fiscor applies CFP-backed financial planning methodologies combined with selectively integrated artificial intelligence to deliver institutional-grade modeling through modern software infrastructure.

The trading functionality will be strictly self-directed at launch. Fiscor does not act discretionarily on behalf of users. The release aligns financial insight with implementation while maintaining user control and regulatory foresight.

Positioning and Direction

Fiscor operates at the intersection of financial planning software and execution infrastructure, positioning the company within an emerging category of integrated financial platforms. By combining structured modeling with built-in execution capability, Fiscor is building foundational infrastructure designed to scale with user engagement over time.
Founded in 2025, the company was created to modernize long-term financial decision-making through disciplined financial logic and unified system design.

Fiscor is publicly available at: www.myfiscor.com

Salah El-Danaf
Fiscor
salah@myfiscor.com

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City management platforms are becoming more capable, but also more complex. The Flashnet AI Module simplifies smart city CMS via natural language.

BRASOV, ROMANIA, March 5, 2026 /EINPresswire.com/ — Operators are expected to manage more devices, more data streams, more integrations and more workflows in their Control Management Systems – and it’s proving to be a steep learning curve.

To address this challenge, Flashnet developed a new software application designed to help smart city software operators by enabling them to make sense of existing data, identify devices, connect to them and orchestrate surgical actions across the entire infrastructure. A smarter and faster way for users to reach their objectives within the existing CMS.

The tool, built around natural language interaction, provides user-friendly data search and device filtering using a custom LLM (isolated Large Language Model using proprietary data sets). The AI model helps convert complex technical data into actionable insights for operators: by asking questions in plain language, users can better interpret technical information, they can filter devices more efficiently, or they can build custom reports.

Flashnet’s AI engineers promise further development in the near future: “We’re adding more capabilities soon, including predictive maintenance insights and heuristic anomaly detection. AI is better and faster than most operators at recognizing data patterns and predict system errors, and we’re planning to use this to identify abnormal behavior outside standard operation, including signals that haven’t been flagged before, so it can surface unexpected issues and early failure indicators” states Nicola Crespi, Flashnet’s Chief Product Officer.

Built with openness in mind, Flashnet’s AI Module can be integrated through open APIs in most existing applications, connecting with different platforms and multi-vendor infrastructures. Also, it can operate across systems to support vendor-neutral smart city operations.

At the same time, Flashnet’s AI layer is engineered for real-world performance at scale, supporting large infrastructures with millions of connected devices, low latency requirements, and meeting enterprise-grade security expectations. Whether it’s smart street lighting, or any other IoT sensors, the new AI integration from Flashnet is designed to work across any smart city system integrated into the platform, creating a unified intelligence layer for urban infrastructure.

Experience the AI solution at Smart Cities Connect in Raleigh, North Carolina

If you’re attending Smart Cities Connect in Raleigh, we invite you to visit our stand to see the AI Module and our inteliLIGHT^® ecosystem live. Whether you’re scaling urban pilots or building a resilient, hardware-agnostic infrastructure for your community, we’d be glad to connect, exchange ideas, and hear your feedback.

March 10-12, 2026

Raleigh, North Carolina

Raleigh Convention Center, Booth 615

About FLASHNET

FLASHNET is a fast-paced tech company that integrates the latest IT, energy and telecommunications technologies into hardware and software solutions, creating and implementing intelligent systems for smarter cities and better infrastructure. Founded in 2005, FLASHNET is a leader in intelligent utility management systems, with worldwide operations. (www.flashnet.ro)

About inteliLIGHT^®

inteliLIGHT^® is a smart street lighting control solution that offers detailed lamp-level management capabilities (ON/OFF, dimming, real-time reporting) over multiple IoT communication technologies. In-depth grid awareness is obtained through accurate utility-grade readings of any changes occurring along the grid, reducing energy loss and offering advanced maintenance optimization tools. Furthermore, inteliLIGHT^® is integrated with Smart City management platforms and offers support for further Smart City development. (www.inteliLIGHT.eu)

About Lucy Group

Lucy Group is an international group that makes the built environment sustainable. Headquartered in Oxford, UK, the company’s electric businesses advance the transition to a carbon-free world with infrastructure that enables renewable energy and smart cities. The Group has 1,800 employees, operates across 5 continents and has an annual turnover exceeding $500m. Further information can be found at www.lucygroup.com

Ovidiu Vrabie
FLASHNET SA
268 333 766
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NVIDIA Inception Company NDAY Strengthens Leadership with Industry Veterans from AIG, CIA, CMU, LevelBlue, and USAA as AI Penetration Testing Accelerates

MIAMI, FL, UNITED STATES, March 5, 2026 /EINPresswire.com/ — NVIDIA Inception company NDAY Security, an emerging leader in autonomous penetration testing, today announced the addition of several high-profile cybersecurity and risk leaders from AIG, the CIA, LevelBlue, and USAA to its advisory and leadership network. The appointments come amid surging market demand for AI-driven, continuous security validation as organizations face escalating cyber threats. NDAY is led by previous leaders of Big 4, Defense Contractors, and Trustwave Spiderlabs and SecureWorks, with over two decades of offensive experience, who deeply understand the problem organizations face.

NDAY Security is pioneering autonomous penetration testing with flagship products ATTACKN , DISCOVERN, ATTACKBENCH, and ATTACK Command Center, powered by artificial intelligence, enabling enterprises to identify and remediate vulnerabilities at machine speed. Unlike traditional pentesting models that rely on periodic human-led engagements, NDAY’s platform delivers continuous, adaptive, and scalable security testing.

“NDAY Security is tackling problems the cybersecurity industry has struggled with for decades,” said Jack L. Johnson Jr., Sr. Board Advisor and the first Chief Security Officer of the Department of Homeland Security. “Their platform does not just automate testing; it continuously discovers unknown risks in complex environments. Combined with a globally scalable delivery model, NDAY can bring high-level security testing to more organizations than ever before. Just as important, the addition of proven industry leaders strengthens the trust, credibility, and real-world expertise behind the company’s growth. That is a game changer.”

New Advisory Appointments

The new advisors bring additional deep experience and relationships in the following areas: Global cybersecurity operations, Cyber insurance and risk modeling, National intelligence and threat analysis, Managed detection and response, and Strategic development
Their collective expertise will support NDAY Security’s rapid product development, go-to-market expansion, and enterprise adoption

Gary McAlum, formerly of AIG and USAA, veteran Enterprise Chief Information Security Officer (CISO) and distinguished military cyber leader

Kory Daniels, Current LevelBlue Chief Security & Trust officer and former IBM Security Transformation Leader, expert in M&A due diligence and integration.

Rusty Byrne, a former Central Intelligence Agency (CIA) Chief Technology Officer (CTO), with experience in modern cyber threats.

Michael McCord, former Carnegie Mellon University (CMU) SEI CERT Senior Software Vulnerability Researcher, with expertise in Advanced Persistent Threats (APTs) and offensive security engineering.

Rising Demand for Autonomous Security
As AI transforms both offensive and defensive cyber capabilities, organizations are seeking proactive security solutions that operate continuously rather than reactively. NDAY Security reports growing interest from enterprises across finance, healthcare, technology, and critical infrastructure sectors.

Key drivers include:
Increasing AI attack sophistication
Regulatory pressure for continuous risk validation with real-time reporting
The need for real-time security assurance to minimize risk

“Autonomous penetration testing is a fundamental shift in how organizations scale cyber risk management,” said Rusty Byrne, former CIA CTO. “NDAY Security is building technology that mirrors how modern threats actually operate.”

About NDAY Security
NDAY Security is a cybersecurity company delivering AI-powered autonomous penetration testing and continuous security validation. As an NVIDIA Inception company, NDAY leverages advanced AI infrastructure and a scalable global delivery model to help organizations proactively identify and mitigate vulnerabilities before attackers exploit them.

PR
NDAY Security, Inc.
inbound@ndaysecurity.com

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