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Wishpond Announces Date for Fourth Quarter and Fiscal Year End 2024 Financial Results Video Conference Call

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VANCOUVER, BC, April 10, 2025 /PRNewswire/ – Wishpond Technologies Ltd. (TSXV: WISH) (OTCQX: WPNDF) (the “Company” or “Wishpond”), a provider of marketing-focused online business solutions, is pleased to announce that it expects to release its audited annual financial statements for the fiscal year ended December 31, 2024, on Thursday, April 24th, 2025.

The Company will also host a conference call to discuss the results on the same day at 10:00 am PT (1:00 pm ET). The call will be hosted by: Ali Tajskandar, Chairman and Chief Executive Officer; and Adrian Lim, Chief Financial Officer.

Webinar Details:

Date:                                       

April 24, 2025

Time:                                       

10:00 am PT (1:00 pm ET)

Webinar Registration:           

https://bit.ly/wp2024_financial 

Dial-in:                                               

+1 778 907 2071 (Vancouver local)

+1 647 374 4685 (Toronto local)

Meeting ID #:                         

838 2959 6589

Please connect 5 minutes prior to the conference call to ensure time for any software download that may be required.

Wishpond Technologies Ltd.
Per: “Ali Tajskandar”
Founder, Chairman and Chief Executive Officer
Wishpond Technologies Ltd.

About Wishpond Technologies Ltd.

Wishpond is a Vancouver-based provider of AI-enabled marketing and sales solutions that help businesses grow more efficiently. The Company’s vision is to create a fully autonomous AI-enabled platform that streamlines the entire customer acquisition journey, from lead generation and engagement to deal closure, enabling businesses to scale cost-effectively while driving higher conversions. Wishpond offers an all-in-one marketing suite that integrates AI-driven tools such as an AI Website Builder, AI Email Automation, and SalesCloser AI, a conversational AI-based virtual sales agent that leverages generative AI to conduct personalized sales calls and product demos, increasing efficiency, reducing costs, and enhancing customer satisfaction. With a focus on innovation, Wishpond has filed multiple patent applications in conversational AI, reinforcing its leadership in AI-enabled marketing automation. The Company serves small-to-medium-sized businesses across various industries, providing a powerful yet cost-effective alternative to fragmented marketing solutions. Wishpond employs a Software-as-a-Service (SaaS) business model, generating most of its revenue from subscription-based recurring revenue, which ensures strong revenue predictability and cash flow visibility while continuously expanding its AI capabilities. Wishpond is listed on the TSX Venture Exchange under the ticker “WISH”, and on the OTCQX Best Market under the ticker “WPNDF”. For further information, visit: www.wishpond.com.

Cautionary & Forward-Looking Statements

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release. 

While the Company expects to release its financial results for the fiscal year ended December 31, 2024, on April 24, 2025, and host a conference call on the same day, such statements are forward-looking information within the meaning of applicable Canadian securities legislation. The Company will use commercially reasonable efforts to meet such timelines, however, extenuating circumstances such as delays in auditor review, requests for additional information from auditors, the availability of employees and consultants, other pressing business or regulatory requirements which may divert management attention from the audit and other factors may cause the Company to not be able to meet such deadlines. Readers are cautioned not to place undue reliance on forward-looking information. The forward-looking information contained in this press release is expressly qualified by this cautionary statement and is made as of the date hereof. The Company disclaims any intention and has no obligation or responsibility, except as required by law, to update or revise any forward-looking information, whether as a result of new information, future events or otherwise.

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SOURCE Wishpond Technologies Ltd.

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ACEC California Awards More Than $100,000 in Scholarships to Engineering and Land Surveying Students

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SACRAMENTO, Calif., May 4, 2026 /PRNewswire/ — The American Council of Engineering Companies of California (ACEC California) has announced the recipients of its 2026 Scholarship Program, awarding a total of $102,500 to 14 students, including six graduate students and eight undergraduates, pursuing degrees in engineering and land surveying at colleges and universities throughout California.

Administered by the ACEC California Scholarship Foundation, the annual program supports accomplished undergraduate and graduate students preparing for careers in engineering and land surveying. In addition to scholarships awarded by ACEC California, students may also receive accompanying funds through the ACEC national organization and local ACEC California chapters.

“I commend the American Council of Engineering Companies of California for its investment in students that helps strengthen California’s infrastructure and engineering workforce,” said Senator Dave Cortese (D-San Jose). “These scholarships expand access to the education and training needed for students to pursue meaningful careers in engineering and land surveying related fields. California’s future depends on a strong pipeline of skilled professionals, and programs like this ensure our communities will benefit from their expertise for decades to come. I commend San Jose State University student, and Senate District 15 resident, Thao Huynh, along with all recipients of this prestigious scholarship program.”

The 2026 scholarship recipients reflect a strong combination of academic achievement and real‑world experience, pairing rigorous coursework with internships, professional employment, applied research and leadership roles in student and industry organizations. The group also represents the diverse pathways into today’s engineering and land surveying professions, including first‑generation college students, veterans, and professionals returning to school to advance their careers.

“ACEC California is honored to recognize these exceptional students who represent the future of our industry,” said Tyler Munzing, executive director of ACEC California. “As our state continues to prioritize the modernization of our critical infrastructure, investing in the next generation of engineers and land surveyors has never been more vital. We are proud to support these dedicated individuals as they prepare to lead California toward a more innovative and efficient future.”

More than 150 applications were reviewed by the ACEC California Scholarship Foundation’s volunteer Board of Trustees, chaired by Chris Diaz of Diaz•Yourman & Associates. Trustees include Donald Blackburn of Blackburn Consulting; Jeff Gavazza of KPFF Consulting Engineers; Michael Jaeger of Tanner Pacific; Henry Liang of MKN, an Ardurra Company; Jane Rozga of GHD; and Aundrea Tirapelle of Psomas.

Scholarship funds will be distributed to recipients at the beginning of the fall 2026 semester.

2026-27 Scholarship Foundation Award Recipients

Todd Allen-Gifford, Stanford University, pursuing a master’s in structural engineering and construction engineering.Owen Daulton, Loyola Marymount University, pursuing a master’s in mechanical engineering.Thao Huynh, San Jose State University, pursuing a bachelor’s in software engineering.Caden Kakoschke, California State University, Long Beach, pursuing a bachelor’s in mechanical engineering and naval architecture and marine engineering.Gaurav Kumar, University of California, Los Angeles, pursuing a bachelor’s in computer engineering.Grace Murphy, California Polytechnic State University, San Luis Obispo, pursuing a bachelor’s in mechanical engineering.Carlos Navea, San Diego State University, pursuing a master’s in civil engineering and structural engineering.Ryan Nguyen, California Polytechnic State University, Pomona, pursuing a master’s in civil engineering.Jacey Niiya, Stanford University, pursuing a master’s in structural engineering.Peter Otoshi, California Polytechnic State University, Pomona, pursuing a bachelor’s in civil engineering.Emily Petersen, California State University, Fresno, pursuing a bachelor’s in surveying and geomatics engineering technology.Paisley Tabor, Stanford University, pursuing a bachelor’s in mechanical engineering.Victor Vega, University of the Pacific, pursuing a bachelor’s in civil engineering and structural engineering.Zenia Zipp, California State University, Fresno, pursuing a master’s in civil engineering and surveying and geomatics engineering.

Learn more about the ACEC California Scholarship Foundation program and the awarded students at www.acec-ca.org/scholarship.

ACEC California represents over 1,000 engineering and land surveying firm offices and nearly 25,000 professionals who are involved in all aspects of the design, construction, and repair of California’s residential, commercial, industrial, and public works infrastructure.

View original content to download multimedia:https://www.prnewswire.com/news-releases/acec-california-awards-more-than-100-000-in-scholarships-to-engineering-and-land-surveying-students-302760472.html

SOURCE American Council of Engineering Companies, California

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HDT Conducts Hunter WOLF Training with 10th Mountain Division

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Second training event in one month highlights continued Army engagement, evaluation

FREDERICKSBURG, Va., May 4, 2026 /PRNewswire/ — HDT Robotics is conducting a new round of training and evaluation activities with Hunter WOLF unmanned ground vehicles (UGVs) at Fort Polk, Louisiana, with soldiers from the U.S. Army’s 10th Mountain Division.

The Hunter WOLF is a robotic multi-mission unmanned ground vehicle designed to reduce workload, extend operational duration, and keep soldiers in the field longer, with less fatigue and at safer distances. Built specifically for military operations, it delivers mobility, payload, and power in a compact system, engineered to perform in demanding environments where commercial vehicles fail.  

“The Hunter WOLF is a proven platform that’s ready to support operations today. It’s not a concept still in development like other options,” said Tom Van Doren, President, Robotics Sector at HDT Robotics. “Training directly with units like the 10th Mountain Division ensures the system continues to meet operational requirements and provides a dependable solution the military can confidently deploy.”

The training event will provide hands-on experience for soldiers in one of the Army’s elite light infantry units, known for rapid deployment and operations in complex, extreme environments, including mountainous and cold-weather conditions. During the event, soldiers will operate and evaluate the Hunter WOLF in real-world scenarios, gaining experience in system operation, mission integration, and sustainment across a range of mission tasks.

“Training events like this show how adaptable the Hunter WOLF’s modular design is across different mission requirements,” said John Conway, VP of Business Development, Robotics at HDT Robotics. “Soldiers are able to configure it quickly and apply it to operational tasks without adding complexity.”

During training, soldiers will operate Hunter WOLF vehicles configured for communications, sustainment, support, and employment of equipment normally too heavy for dismounted units to transport, such as loitering munitions. These configurations include:

Two Vehicle-mounted Tactical Radios (AN/VRC-158)Five Universal Battery Chargers (UBC)60-gallon Water Purification SystemsCasualty Evacuation (CASEVAC)15kW Mobile Power Export (120/240VAC inverter offload)Extended Cargo Rails for Equipment Transport

The training marks the second Hunter WOLF event conducted with the Army in the past month, reinforcing HDT’s commitment to delivering proven, field-ready robotic platforms that enhance operations while prioritizing soldier safety.

About HDT Robotics: HDT develops rugged, modular robotic systems to perform tasks in hazardous and demanding environments. Building on a legacy of advanced government and industrial robotics development, the company engineers precision manipulators and mobile platforms that reduce personnel risk while enabling critical operations in expeditionary, contaminated, or unsafe environments. For more information, visit HDTHunterWOLF.com.

View original content to download multimedia:https://www.prnewswire.com/news-releases/hdt-conducts-hunter-wolf-training-with-10th-mountain-division-302761065.html

SOURCE HDT Robotics

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Roomba Pioneer Colin Angle Unveils New Venture, Familiar Machines & Magic, Introducing a New Platform for Consumer Physical AI

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After building iRobot into a multi-billion-dollar business and architecting the global consumer robotics industry, Angle launches a new company to build emotionally intelligent robots designed for trust, interaction, and long-term connection.

BOSTON, May 4, 2026 /PRNewswire/ — More than two decades after introducing the Roomba and helping define consumer robotics, Colin Angle is returning with a more ambitious vision: Artificial Life. On stage today at The Wall Street Journal’s Future of Everything conference, Angle unveiled Familiar Machines & Magic, bringing the company out of stealth and introducing Familiars – physically embodied AI systems designed to perceive, adapt, and interact with people in ways that feel natural and consistent.

“The next era of robotics is not just about dexterity or humanoid form – it’s about machines that can build and sustain human connection,” said Colin Angle, cofounder and CEO of Familiar Machines & Magic. “Today, we’re emerging from stealth to share our vision for systems that move beyond task execution and become a natural part of daily life.”

FM&M uses the term “Familiars” to describe emotionally intelligent, physically embodied AI systems that perceive their environment, develop a distinct personality, and respond in ways that learn and evolve through life with the people around them.

Physical AI’s Next Frontier: From Capability to Human Connection
The global race to build Physical AI is on. From humanoid robots promising factory labor to autonomous systems reshaping logistics, tens of billions of dollars are flowing into machines designed to move, lift, sort, and transport. But this is only half the opportunity – the back-end, industrial physical AI opportunity. The other half is consumer-facing, for all of the use cases where robots will interact with humans, and it requires a fundamentally different approach.

Consumer Physical AI demands human connection – the ability to not just perform physical tasks, but to understand, communicate, and respond in ways that feel intuitive and supportive. This opportunity extends across daily life – anywhere people and machines intersect – not just within the home.

Consumer Physical AI outperforms screens in these types of emotional work because people respond more strongly to physical presence. While chatbots are widely used for emotional support, they are often less effective and beneficial for their users.

FM&M is focused on developing Consumer Physical AI systems that deliver this kind of interaction at scale by building Familiars.

The company’s leadership team has already brought consumer robotics to global scale. As leaders behind the Roomba platform at iRobot, they deployed more than fifty million robots into homes worldwide, turning a once-experimental category into a household technology. FM&M also brings together talent from Disney Research, MIT, Amazon, Boston Dynamics, Bose, and Sonos, applying deep experience in robotics, AI, and human-machine interaction to this next frontier.

Bringing Familiars to Life: Meet the First Familiar
During a live conversation with Wall Street Journal Technology columnist Christopher Mims at Future of Everything, Angle introduced the first Familiar – the inaugural system powered by FM&M’s Consumer Physical AI platform.

“iRobot proved that robots could deliver value at scale,” Angle said. “But they were still task machines. My goal has always been to create systems that understand context, remember interactions, and behave with consistency over time. That’s what we’re doing at Familiar Machines & Magic.”

A Familiar is purpose-built for social interaction rather than industrial performance. Its hardware and AI architecture are optimized for expressive, whole-body movement that communicates attention, awareness, and intent without relying on a screen.

The first Familiar is a quadruped, specifically designed for human-robot interaction, with 23 degrees of freedom enabling both lifelike movement and expressive behaviors. The Familiar is covered with a custom touch-sensitive coat, a vision system, and a microphone array and audio system, to support rich interactions. Its onboard edge AI stack is powered by a custom small multimodal model optimized for social reasoning, combining vision, audio, language, and memory to create socially responsive behaviors in real time.

Unlike humanoid robots designed to replicate human form for industrial uses, the Familiar is intentionally designed to be approachable and expressive, with a form factor optimized for interaction in everyday environments. It integrates context, memory, and adaptive behavior to create a consistent presence over time. Familiars are optimized for interaction, for presence, and for everyday use.

Today’s reveal marks FM&M’s emergence from stealth, not a commercial product launch. Specific applications, form factors, and timelines will be shared in future updates.

The Path Forward: The First to Scale Physical AI
The Consumer Physical AI market will not be won by the most impressive demo – but by the system people choose to live with. Familiar Machines & Magic is building a Physical AI platform focused on real-world deployment, measurable value, and responsible scaling.

Unlike cloud-dependent AI systems that rely on continuous data streaming, FM&M’s architecture prioritizes on-device, edge AI to reduce latency and strengthen privacy. The company has also established clear data governance guardrails as it develops systems designed for daily life.

By focusing on systems that can scale broadly, FM&M is building a platform that improves through real-world use rather than speculative demonstrations.

Follow the Journey
Familiar Machines & Magic will share updates, research, and progress as it develops its Familiars platform; this is just the beginning. If you’re curious what life with a Familiar could look like, sign up at familiarmachines.com or follow FM&M on LinkedIn and X.

About Familiar Machines & Magic
Familiar Machines & Magic is pioneering Consumer Physical AI, beginning with Familiars – physically embodied AI systems designed to form long-term, emotionally intelligent relationships with people. The company’s mission is to create artificial life to build a more caring world.

Founded by Colin Angle, cofounder and former CEO of iRobot, FM&M builds on more than three decades of consumer robotics experience. Angle is joined by cofounders Ira Renfrew, Chief People and Product Officer (C2PO), and Dr. Chris Jones, Chief Research and Development Officer (CRDO) – veteran robotics and AI leaders with experience spanning iRobot, Amazon, and other global consumer technology platforms.

Collectively, the founding team has deployed over 50 million consumer robots worldwide and led advances in navigation, machine learning, and human-robot interaction. The broader team brings additional expertise from institutions including Disney Research, MIT, Boston Dynamics, and USC.

With offices in Boston, LA, and Hong Kong, Familiar Machines & Magic is building a long-term platform for Artificial Life in partnership with leading researchers, engineers, and strategic collaborators.

For more information, visit: familiarmachines.com.

View original content to download multimedia:https://www.prnewswire.com/news-releases/roomba-pioneer-colin-angle-unveils-new-venture-familiar-machines–magic-introducing-a-new-platform-for-consumer-physical-ai-302761495.html

SOURCE Familiar Machines & Magic

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