46 Labs and Mozee Partner to Launch Secure, Scalable Network for Connected Vehicle Fleets
DALLAS--(BUSINESS WIRE)-- 46 Labs, the global business communications management provider, today announced a strategic partnership with Mozee, the pioneer of modular agile transit (MAT). Through this collaboration, 46 Labs will provide the mobile communications infrastructure powering Mozee's expanding fleet of driverless, electric multi-passenger vehicles.
Founded in 2022 in Dallas, Mozee provides AI-powered, multi-passenger autonomous shuttles and fleet management software to help cities, campuses, airports and events move people safely, efficiently and sustainably. As part of its growth, the company is relocating its headquarters and manufacturing facility to Arlington, Texas, one of the first U.S. cities to integrate autonomous transit into its broader public mobility network.
'Mozee is reimagining what it means to move through modern cities, and we're proud to deliver the network foundation that keeps their vehicles connected,' said Trevor Francis, CEO of 46 Labs. 'As mobility continues to evolve, partnerships like this highlight the growing need for reliable infrastructure—built not only for scalability, but to help reshape legacy systems with flexible, future-ready innovation.'
The 46 Labs network offers Mozee a secure, resilient communications backbone built for growth. 46 Labs' dedicated, secure and custom infrastructure is designed to minimize risk and ensure continuity even during broader industry outages. The platform also enables centralized management of all connected vehicles, treating each one like a mobile endpoint with real-time visibility and control.
The flexibility of 46 Labs' platform also opens the door to new applications, such as turning Mozee vehicles into mobile cell spots to enhance connectivity at major public events and in high-density transit zones. As Mozee explores new ways to expand service and meet demand, having a communications network that can evolve with those needs is a critical advantage.
'We're proud to collaborate with 46 Labs as they help us lead the shift toward smarter, more human-centered mobility,' said Shawn Taikratoke, CEO at Mozee. 'This partnership helps us deliver the power of modular agile transit to meet today's transit challenges—We're proud to find a partner who moves at our speed to ensure our autonomous system remains responsive, secure and adaptable in a dynamic operating environment.'
This partnership reflects how two fast-growing Texas companies are coming together to solve modern infrastructure challenges in real time. As Mozee brings next-generation transit solutions to cities like Arlington, 46 Labs provides the resilient communications backbone that helps keep those systems connected, secure and ready to scale. It's a shared investment in building smarter, safer communities—starting at home in North Texas.
About 46 Labs, LLC
46 Labs is a global business communications company dedicated to transforming the way businesses manage their connectivity infrastructure. Founded in 2012 and headquartered in Dallas, Texas, 46 Labs offers innovative solutions that unify complex communications infrastructures. Their flagship product, the Peeredge Orchestration Platform, provides scalable voice and messaging management services to hundreds of global carriers and Fortune 500 companies daily. Committed to upgrading business communications on a global scale, 46 Labs continues to replace outdated critical infrastructure and legacy systems, enabling carriers and large enterprises to operate with advanced levels of clarity. For more information, visit www.46labs.com.
About Mozee
Mozee is advancing modular agile transit (MAT) - an AI-powered, multi-passenger transportation system designed to flex and scale with the evolving needs of cities, campuses, airports, and events. Our electric autonomous shuttles operate without fixed infrastructure, adapt in real time, and move groups of people with the safety, precision, and reliability communities demand. Backed by intelligent fleet software and deep systems integration, Mozee empowers public and private partners to unlock smarter mobility, reduce congestion, and reclaim space for people - not cars. By making transit modular, dynamic, and infrastructure-agnostic, we're helping the world move beyond the transportation trap and into a future built around human connection and flow. For more information about Mozee, visit www.mozeealong.com.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
TechCrunch
2 hours ago
- TechCrunch
Why AI will eat McKinsey's lunch — but not today
Navin Chaddha, who leads the 55-year-old Silicon Valley venture firm Mayfield as its managing director, is betting big on AI's ability to transform people-heavy industries like consulting, law, and accounting. But as he acknowledged at TechCrunch's StrictlyVC evening in Menlo Park, Ca., recently, where Chaddha played co-host, disrupting services businesses where human relationships and trust matter is often harder than Silicon Valley anticipates. The veteran investor, whose wins include Lyft, Poshmark, and HashiCorp, discussed why he believes 'AI teammates' can create software-like margins in traditionally labor-intensive sectors, and why startups should target neglected markets rather than compete head-to-head with giants like Accenture. This conversation has been edited lightly for length and clarity. You think that law firms, consulting companies, and accounting services – collectively a $5 trillion market – will be completely reimagined by AI-first companies that operate with software-like margins. Prove it. What have you seen beyond PowerPoint presentations? I think an advantage of a firm that has been in business for over 50 years is that it has seen all the trends, from mainframe to minicomputers to PCs, to the internet, to mobile, cloud, social and now this AI era. The example I would give is in the late '90s, this concept of e-business came, which was: if I'm a physical business, I cannot survive if I'm just brick and mortar; I need to be click and mortar. Then outsourcing became a trend, and offshoring became a big trend. You couldn't build a software services company without a presence in India or one of the emerging markets. The same thing happened with supply chains and manufacturing — China and Taiwan rose. So what is this new era with AI? Clearly, AI is a 100x force, and AI is teaming up with humans, hopefully to make them better. And I think it is, and it's going to help reimagine business. A lot of the repetitive tasks are going to be done by AI… and there'll be two models. One is that you grow organically. The second is that you grow inorganically. . . Can you give a specific example of how this will work? What are the kinds of things an LLM or AI can do? Well, say I have to implement Salesforce. Who wants to go do that work? The human will come in and say, 'I'm your client manager. You have to implement Salesforce.' It's the same set of things. Use AI as the horse to do it, and whatever AI can't do, have the human in the loop. Techcrunch event Save $450 on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Save $200+ on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Boston, MA | REGISTER NOW Now, suddenly, if you start doing these kinds of things, you can have less work done by humans and more work done by AI, and [customers] only pay for AI when [they] use it. And the market [entry] should not be to go after [big consulting and IT companies] like Accenture, Infosys, or TCS. Go after the neglected masses. There are 30 million small companies in the U.S., and 100 million worldwide that can't afford knowledge workers. Provide them service as software. They say, 'I need a receptionist. I need a scheduler. I need somebody to build my website…' AI should be used to [create] startup funding forms, with some human [involvement] for negotiation. You don't compete with the Accentures of the world. You go after fragmented markets, where instead of charging per hour, instead of charging per month for a contractor, you charge per event. So outcome-based pricing rather than time-based billing. This is outcome based, yes . . . Cloud billing is like that; electricity is like that . . .If 80% of the work will be done by AI, it can have an 80% to 90% gross margin. Humans can still have a 30% to 40% margin. You could have blended margins of 60% to 70% and produce 20% to 30% net income. And believe me, most services companies make money. Tech companies don't. They live on venture money and then public market money. You just led the Series A for a company called Gruve a few weeks ago. It's an AI tech consulting startup. What did you see in its early customer pilots? I think this is where the combination of inorganic and organic happens. [Gruve was founded by] very successful founders who had done two services companies before [and] bootstrapped, and got them to $500 million in revenue each, and $50 to $100 million in profits. They started this time and said, 'What do we know? We know security.' So they acquired a $5 million security consulting company [that offers managed security services]. And they said, 'Let's look at the people. All the growth from this point on will happen through AI.' And they grew that from [$5 million in revenue] to $15 [million in revenue] in six months. They literally have an 80% gross margin. It's outcome-based. Customers love it. Cisco loves it. They say, 'Hey, I'm not getting hacked. Why am I paying for all these security people?' If you outsource, [a vendor has traditionally charged] $10,000 a month. [Gruve] says, ' [You pay us] zero. If you get hacked, if there is an event, if I look at it, then you pay me.' Can't companies like McKinsey just buy these AI capabilities? They've got big businesses they don't want to lose. Yeah, I think what's going to happen is this is where the innovator's dilemma comes in. When enterprise software companies, which were perpetual license companies, saw SaaS companies emerging, they didn't want to adopt [the model] because [SaaS companies] charge companies monthly instead of five years up front. The enterprise companies also collected a 20% maintenance fee. It was hard [for them] to get off that drug and to say, 'Oh, I'll charge you monthly.' The business model innovation was the key thing. They didn't do it. So McKinsey and Accenture, with so much dislocation, they're going to be busy serving their clients [which is why I advise founders to] go after the neglected masses. Figure out a unique go-to-market strategy and service somebody they [an Accenture can't come down market to serve]. But they're going to get reimagined too. So these small companies, which are not competing with them today, mark my words: in 10 years, they will be competing with them. And those big companies – McKinsey, BCG, Accenture, TCS, Infosys – all have the innovator's dilemma [and are asking themselves]: when do I do it? [When do I switch to an outcome-based AI model?] Because as a public company, my revenues are going to go down from predictable revenue to utility-based revenue. You carved out $100 million from your recently raised funds to dedicate to 'AI teammates' last fall. What makes a true AI teammate versus an AI tool? There's a lot of buzzwords in the industry. First it was copilots, then AI tools, AI agents, AI teammates. So the Mayfield thesis is that an AI teammate is a digital companion that collaborates with a human on shared goals and gets to better outcomes. The technology it might be built on could be agentic technologies or copilots. The manifestation of it is, 'I'm an HR teammate. I'm a sales engineering teammate.' The aim is not to replace; the aim is to team up and collaborate together. When people started talking about teammates and assistants, it sounded novel, but I wonder if that's going to look callous as more people lose their jobs. Does Silicon Valley have a marketing problem? Absolutely right, and I think we need to not sugarcoat it. We need to address it head-on. . .Yes, there's going to be job displacement, but humans are smart. They're the jockey. The horse here is AI. We will reimagine ourselves. We will reinvent ourselves. Today, the focus is on cutting costs, but we will figure out how to expand our markets, how to increase revenue. This happens with every technology wave that comes. When Microsoft Word came to PCs on the desktop, people thought [executive assistants] were out of business. Then Excel came, and accountants who did calculations — everyone thought they were out of business. We saw the same with Uber and Lyft. People thought taxi drivers would go away. But what happened instead? The markets expanded. My thesis is, the way emerging markets like India, China, and Africa never had landlines — you couldn't dig copper, so they went wireless, cellular — that's what's going to happen with many markets. AI will do the work where humans are not even available to serve that customer. So, long-run, I'm very, very bullish. In the short-run, there will be pain, but no pain, no gain. Speaking of coding, a recently announced 'vibe-coding' deal centered on a six-month-old Israeli company that had just reached 250,000 users per month and $200,000 in monthly revenue. It was bought by another Israeli company, Wix, for $80 million in cash. Does that math make sense to you? Actually, these days, no math makes sense. We're in the AI age. You don't know what's going to happen. I'm surprised that with $2.4 million in [annual recurring] revenue they only sold for $80 million. I thought it would be $800 million, right? [Laughs.] In today's world, you don't know. It's a marketplace. How do you invest in that market? That's where the secret recipe comes from people who are proven investors. They've cracked the code. It's not a science; it's an art. It's like the 10,000-hours [rule]: the more you practice this, the better you get. And the firms that have been around for 50 or 60 years – we've seen all kinds of bubbles. The number-one rule is, have your own North Star. Have discipline and have no FOMO, because FOMO is for sheep. And if you have those two or three things, your own strategy and no fear, [you'll do well]. Just remember one thing: for people [in this audience] who are VCs, we're in the money management business. We're not about collecting logos. We are about taking small amounts of money and making them bigger. During this part [of the cycle], a lot of money will get made. But I think 80% of the people are going to lose money. They don't know what they're doing.
Yahoo
2 hours ago
- Yahoo
Global Industry Growth, Competitive Landscape, Opportunities, and Challenges
The Global Smart Agriculture Market, valued at USD 15.9 billion in 2025, will grow at a CAGR of 11.8% to reach USD 43.3 billion by 2034. Driven by IoT, AI, and robotics, the market enhances farm productivity and sustainability, addressing global food demand, climate change, and labor shortages. Smart Agriculture Market Dublin, June 23, 2025 (GLOBE NEWSWIRE) -- The "Smart Agriculture Market Size, Share, Trends, Analysis, and Forecast 2025-2034 | Global Industry Growth, Competitive Landscape, Opportunities, and Challenges" has been added to offering. The global Smart Agriculture market, valued at USD 15.9 billion in 2025, is projected to expand at a CAGR of 11.8%, reaching USD 43.3 billion by 2034 This dynamic sector harnesses digital technologies to optimize farming productivity, sustainability, and resource efficiency. By integrating IoT, AI, drones, sensors, robotics, and data analytics, smart agriculture enhances decision-making, automates processes, and allows real-time soil and crop condition monitoring. This technology-driven approach enables farmers to reduce waste, cut costs, and boost yields. Smart agriculture addresses growing food demands while minimizing environmental impacts through precision farming, automated machinery, and VRT. Applications span livestock tracking, greenhouse automation, vertical farming, and satellite crop imaging. Challenges like climate change, shrinking arable land, and labor shortages propel innovation, making smart agriculture essential for modernizing traditional practices and securing future food systems. In 2024, the smart agriculture market saw significant momentum, influenced by government initiatives, heightened investments in agri-tech startups, and supply chain challenges. Precision irrigation systems, soil health sensors, and drone-assisted crop monitoring experienced widespread adoption, notably in North America, Europe, and Asia-Pacific. AI-powered predictive tools forecasted crop yields and detected pests, enabling proactive farmer interventions. Agri-tech companies launched smart greenhouse platforms with automated climate control and AI-directed nutrient dosing, enhancing controlled environment outputs. Public-private partnerships initiated pilot programs in developing economies, focusing on farmer education and subsidizing IoT equipment to boost adoption. Carbon monitoring and sustainability tools integrated into farm management software gained traction as food producers tracked emissions, soil health, and regenerative practices, aligning with global ESG standards. The trend is moving from fragmented solutions towards integrated, scalable data-driven platforms. By 2025 and beyond, the smart agriculture market will deepen its digital economy integration with climate resilience, food traceability, and autonomous operations. Advances in edge computing and 5G will enable faster data processing on farms, supporting real-time analytics for tasks like livestock monitoring, pesticide application, and irrigation scheduling. Autonomous tractors and robotic harvesters will expand beyond trials. Blockchain technology's role will grow in ensuring supply chain transparency, verifying sourcing practices, and monitoring product quality. Further global efforts to cut agriculture's environmental footprint will propel carbon-smart farming solutions, including platforms monetizing regenerative practices via carbon credits. Governments are likely to offer stronger incentives for smart agriculture, especially in climate-prone regions. Agri-tech firms will focus on modular platforms adaptable to diverse crops, languages, and farming scales. As farms become more connected, data-rich, and autonomous, smart agriculture is vital to achieving sustainable, high-output, resilient food systems. Key Trends in the Smart Agriculture Market Rise of AI-Driven Decision Support Tools: Advanced AI algorithms for forecasting, pest prediction, and optimal planting schedules enhance real-time decision-making. Expansion of Precision Livestock Farming: Automated systems for health monitoring and reproductive tracking improve dairy and poultry operations. Growth of Carbon-Smart Farming Solutions: Platforms aiding in emissions reduction and carbon sequestration gain momentum, aligning agriculture with ESG goals. Proliferation of Connected Greenhouses: AI and IoT-equipped greenhouses automate resource allocation based on growth patterns. Integration of Blockchain for Food Traceability: Blockchain enhances transparency, fraud reduction, and sustainability verification. Key Drivers of the Smart Agriculture Market Growing Global Food Demand: Population growth and dietary changes push farmers towards technology-driven practices. Climate Change and Resource Scarcity: Unpredictable weather and resource limitations drive precision technology adoption. Government Support and Agri-Tech Funding: Incentives and partnerships boost technology development and implementation. Labor Shortages in Agriculture: Automation becomes essential to maintain productivity amid workforce declines. Key Challenge in the Smart Agriculture Market High Cost and Technical Barriers for Smallholders: Many small farmers face hurdles in investment, literacy, and infrastructure, limiting widespread adoption. Market Segmentation By Offering: Hardware, Software, Services By Farm Size: Small, Medium, Large By Application: Precision Farming, Livestock Monitoring, Precision Aquaculture, Precision Forestry, Smart Greenhouse, Other Applications By Geography: North America, Europe, Asia-Pacific, Middle East and Africa, South and Central America Key Attributes: Report Attribute Details No. of Pages 150 Forecast Period 2025 - 2034 Estimated Market Value (USD) in 2025 $15.9 Billion Forecasted Market Value (USD) by 2034 $43.3 Billion Compound Annual Growth Rate 11.8% Regions Covered Global Companies Featured Hikvision Digital Technology Co. Ltd. Dahua Technology Co. Ltd. Axis Communications AB Bosch Security Systems Inc. Hanwha Techwin Co. Ltd. Avigilon Corporation Teledyne FLIR LLC Huawei Technologies Co. Ltd. Seon Design Inc. Pro-Vigil Inc. Strongwatch Corporation Rosco Inc. BriefCam Ltd. Uniview Technologies Co. Ltd. Agent Video Intelligence Ltd. Aditya Infotech Ltd Genetec Inc. Safety Vision LLC Maryland Security Professionals Apollo Video Technology Floatograph Technologies LLC Maxxess Systems Inc. Evolv Technologies DynaColor Webgate Motorola Solutions Tiandy Technologies Allegion Dnake Jovision Xiamen Leading Optics Co. Ltd. Ava Group RFHIC Corporation Anaren Inc. Tokyo Denki Kagaku Kogyo Kabushiki Kaisha KYOCERA AVX Corporation Johanson Technology Inc. For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Attachment Smart Agriculture Market CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
3 hours ago
- Yahoo
HPE Collaborates with NVIDIA Corporation (NVDA) to Drive Next Gen of AI Innovation
NVIDIA Corporation (NASDAQ:NVDA) is among the best stocks added in a . A futuristic datacenter with servers and high-tech equipment, signifying the company's cutting-edge digital technology. On June 24, 2025, Hewlett Packard Enterprise announced the launch of its expanded NVIDIA AI Computing by HPE portfolio at the HPE Discover event. This launch introduced modular AI factory solutions built on NVIDIA Blackwell GPUs, HPE Private Cloud AI with RTX PRO 6000 support, along with full integration of NVIDIA AI Enterprise software. Furthermore, HPE introduced a new 'try and buy' model, allowing customers to experience the AI solutions before purchasing. Over 75 use cases were showcased, including agentic AI for the financial sector. Through this collaboration, NVIDIA Corporation (NASDAQ:NVDA) is set to strengthen its position in sovereign AI solutions and enterprise-grade deployments. Moreover, this partnership will allow NVIDIA to offer scalable infrastructure with post-quantum security, air-gapped data protection, and federated GPU pooling. NVIDIA Corporation (NASDAQ:NVDA) manufactures GPU and AI platforms, serving a vast range of sectors, including gaming, data center, automotive, and professional visualization markets. While we acknowledge the potential of NVDA as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the . READ NEXT: 10 Overlooked Tech Stocks to Buy Now and 10 Low Risk High Reward Stocks Set to Triple by 2030. Disclosure: None.
