blockquote>
h1>Deal-Flow Intelligence: AI Infrastructure, Cybersecurity, Fintech, Defense, and Construction Payments Companies Institutional Investors Are Watching in June 2026/h1>
h2>”The infrastructure layer of artificial intelligence continues absorbing capital at a pace that outpaces application-layer investing. The five companies profiled below represent that trend in action.”— MB – Editor./h2>
p class=”publication-meta”><em>MiamiBusiness.com | MiamiFinancialServices.com | July 2026 Report | Originally published June 26, 2026 | Updated November 2026 to provide full June 1–30 retrospective</em>/p>
p class=”date-scope”><strong>Reporting Period: June 1–30, 2026</strong> /p>
p class=”featured-answer”><strong>Featured Answer:</strong> Five companies—Dapple, NeuralTrust, Partly, Patronus AI, and Earlytrade—reported total funding between $20M and $50M during June 2026. The aggregate capital signals institutional investor focus on AI agent security, automotive AI, AI simulation infrastructure, and construction payments technology. Investors favor companies with enterprise-grade deployments, regulatory alignment, and defensible data moats in emerging technology verticals. /p>
p class=”tldr”><strong>TL;DR — Key Takeaways</strong>/p>
ul>
li>Partly closed a $50 million Series B at a $500 million valuation on June 23, expanding its automotive parts AI platform into the U.S. market./li>
li>Patronus AI raised $50 million in a Series B on June 25, unveiling its first digital world models for AI agent training and simulation./li>
li>NeuralTrust secured $20 million in seed funding on June 17 to secure the growing swarm of AI agents in the enterprise./li>
li>Dapple closed $30 million in seed funding on June 10 for its blockchain-based insurance platform./li>
li>Earlytrade announced new financing on June 9, with total capital raised reaching $25 million to deploy agentic AI across the construction payments ecosystem./li>
/ul>
p class=”audience”><strong>Target Audience:</strong> Institutional investors, venture capitalists, private equity analysts, corporate development teams, and financial professionals tracking emerging technology deal flow in artificial intelligence, cybersecurity, fintech, and construction technology. /p>
hr />
h2>Table of Contents/h2>
p>[Click each link to jump to the corresponding section:]</p>
ul class=”toc”>
li><a href=”#dapple”>1. Dapple — $30M Seed (June 10, 2026)/a>/li>
li><a href=”#neuraltrust”>2. NeuralTrust — $20M Seed (June 17, 2026)/a>/li>
li><a href=”#partly”>3. Partly — $50M Series B at $500M Valuation (June 23, 2026)/a>/li>
li><a href=”#patronus”>4. Patronus AI — $50M Series B (June 25, 2026)/a>/li>
li><a href=”#earlytrade”>5. Earlytrade — $25M Total Capital Raised (June 9, 2026)/a>/li>
li><a href=”#market-observation”>Market Observation/a>/li>
li><a href=”#looking-ahead”>Looking Ahead/a>/li>
li><a href=”#faqs”>Frequently Asked Questions/a>/li>
li><a href=”#cta”>Call to Action/a>/li>
li><a href=”#disclaimer”>Editorial & Investment Disclaimer/a>/li>
/ul>
hr />
h2>Introduction: Why This Month Matters/h2>
p>June 2026 reinforced a decisive shift in institutional capital allocation toward the emerging infrastructure layer of artificial intelligence: agent security, simulation training platforms, automotive intelligence, blockchain-based insurance, and construction payments AI. Rather than chasing consumer applications or speculative use cases, capital is flowing into companies that can demonstrate enterprise-grade deployments, regulatory readiness, and defensible data moats./p>
p>This edition of the <strong>Miami Emerging Company Intelligence Report</strong> highlights five real companies that entered June 2026 with significant publicly reported funding activity, product development milestones, or commercial expansion. Each company has been evaluated based on publicly available data, and editorial commentary represents independent analysis, not company affiliation./p>
p>These companies are presented for informational and editorial purposes only and should not be interpreted as investment recommendations./p>
hr />
h1 id=”dapple”>1. Dapple/h1>
h3>Industry: Blockchain-Based Insurance Technology / DeFi Infrastructure/h3>
h3>Headquarters: Not publicly disclosed at this time/h3>
h3>CEO: Not publicly disclosed at this time/h3>
h3>Website: <a href=”https://dapple.co/” target=”_blank” rel=”noopener”>https://dapple.co/a> — [Primary funding announcement: <a href=”https://dapple.co/newsroom/dapple-closes-30m-seed/” target=”_blank” rel=”noopener”>https://dapple.co/newsroom/dapple-closes-30m-seed/a>]/h3>
h3>Public Phone: Not publicly available/h3>
h3>Public Email: Not publicly available/h3>
h3>Primary Funding Source: <a href=”https://dapple.co/newsroom/dapple-closes-30m-seed/” target=”_blank” rel=”noopener”>Dapple Closes $30M Seed (June 10, 2026)/a>/h3>
h3>Funding Amount: $30 million Seed/h3>
h3>Funding Date: June 10, 2026/h3>
h3>What They Do/h3>
p>Dapple is building a blockchain-based insurance platform designed to bring decentralized finance (DeFi) principles to insurance products. The company uses smart contract technology to create transparent, automated insurance coverage for digital asset holders and DeFi protocol participants. Dapple’s platform enables users to purchase, manage, and claim insurance through decentralized interfaces, reducing administrative overhead and increasing coverage transparency./p>
h3>Mission/h3>
p>To make insurance accessible, transparent, and automated through blockchain technology, serving the growing DeFi and digital asset ecosystem./p>
h3>What They Appear To Be Seeking/h3>
ul>
li>DeFi protocol partnerships for integrated insurance coverage/li>
li>Talent in blockchain engineering, insurance technology, and regulatory compliance/li>
li>Expansion of smart contract capabilities across multiple blockchain networks/li>
li>Regulatory licensing for insurance operations/li>
/ul>
h3>Deployment and Commercial Strategy/h3>
p>Dapple deploys its insurance platform as a decentralized application accessible through web interfaces and wallet integrations. The company’s go-to-market strategy centers on partnering with DeFi protocols to offer native insurance coverage for smart contract risk, impermanent loss, and other blockchain-specific risks. Commercial engagement typically involves integrating Dapple’s smart contracts directly into existing DeFi interfaces./p>
h3>Financing and Capital Allocation/h3>
p>The $30 million Seed round announced on June 10, 2026, will fund product development, team expansion, regulatory licensing, and ecosystem partnerships. As a Seed round, it represents institutional confidence in Dapple’s initial product-market fit within the DeFi insurance vertical and provides the capital runway needed to scale operations and expand into additional blockchain networks./p>
h3>Why Investors Are Watching — Editorial Interpretation/h3>
p>The intersection of DeFi and insurance represents a compelling growth opportunity as the decentralized finance ecosystem matures. Traditional insurance models are ill-suited for the fast-paced, programmable nature of blockchain-based financial products. Companies that can build automated, transparent insurance infrastructure using smart contract technology address a genuine market gap. Dapple’s Seed round signals that investors are increasingly willing to deploy capital into infrastructure companies serving the DeFi ecosystem, particularly those that can bridge the gap between decentralized technology and regulated insurance requirements. The key investment question is whether Dapple can achieve sufficient scale and regulatory compliance to become a trusted insurance provider within the broader DeFi ecosystem./p>
hr />
h1 id=”neuraltrust”>2. NeuralTrust/h1>
h3>Industry: AI Agent Security / Cybersecurity Technology/h3>
h3>Headquarters: Not publicly disclosed at this time/h3>
h3>CEO: Not publicly disclosed at this time/h3>
h3>Website: <a href=”https://www.neuraltrust.ai/” target=”_blank” rel=”noopener”>https://www.neuraltrust.ai/a> — [Primary funding announcement: <a href=”https://www.prnewswire.com/news-releases/neuraltrust-raises-20m-to-secure-the-growing-swarm-of-ai-agents-in-the-enterprise-302802926.html” target=”_blank” rel=”noopener”>https://www.prnewswire.com/news-releases/neuraltrust-raises-20m-to-secure-the-growing-swarm-of-ai-agents-in-the-enterprise-302802926.html/a>]/h3>
h3>Public Phone: Not publicly available/h3>
h3>Public Email: Not publicly available/h3>
h3>Primary Funding Source: <a href=”https://www.prnewswire.com/news-releases/neuraltrust-raises-20m-to-secure-the-growing-swarm-of-ai-agents-in-the-enterprise-302802926.html” target=”_blank” rel=”noopener”>NeuralTrust Raises $20M to Secure AI Agents (June 17, 2026)/a>/h3>
h3>Funding Amount: $20 million Seed/h3>
h3>Funding Date: June 17, 2026/h3>
h3>What They Do/h3>
p>NeuralTrust is building cybersecurity technology specifically designed to protect the growing swarm of AI agents deployed within enterprise environments. As organizations increasingly integrate autonomous AI agents into their workflows, new attack surfaces emerge that traditional security platforms are not equipped to address. NeuralTrust develops security solutions that monitor, authenticate, and control AI agent behavior within enterprise networks, preventing unauthorized actions, data exfiltration, and agent-based attacks./p>
h3>Mission/h3>
p>To secure the growing swarm of AI agents in the enterprise, providing the cybersecurity infrastructure needed for safe AI agent deployment./p>
h3>What They Appear To Be Seeking/h3>
ul>
li>Enterprise customers deploying AI agents at scale/li>
li>Strategic partnerships with AI platform providers and cloud vendors/li>
li>Expansion of security capabilities across multi-agent environments/li>
li>Talent in AI security, cybersecurity engineering, and enterprise sales/li>
/ul>
h3>Deployment and Commercial Strategy/h3>
p>NeuralTrust deploys its security platform within enterprise networks as an overlay to existing AI agent infrastructure. The company’s approach combines behavioral analysis, authentication protocols, and real-time monitoring to establish security boundaries around AI agent operations. Enterprise deployment typically involves integration with existing agent orchestration platforms and security information and event management (SIEM) systems./p>
h3>Financing and Capital Allocation/h3>
p>The $20 million Seed round announced on June 17, 2026, will fund product development, security research, team expansion, and commercial deployment. As the enterprise AI agent market expands rapidly, NeuralTrust’s focus on agent-specific cybersecurity addresses a gap that is becoming increasingly critical as organizations deploy more autonomous AI systems into production environments./p>
h3>Why Investors Are Watching — Editorial Interpretation/h3>
p>AI agent security represents one of the fastest-growing subcategories within the broader cybersecurity market. As enterprises move from deploying individual AI models to orchestrating swarms of autonomous agents that can make decisions and execute tasks independently, the security implications become profound. NeuralTrust’s positioning at the intersection of AI and cybersecurity creates a defensible competitive position: companies that understand both agent behavior patterns and security principles are uniquely qualified to build effective protection platforms. The $20 million Seed round reflects early-stage institutional confidence in this emerging category, which is expected to grow significantly as AI agent adoption accelerates over the next several years./p>
hr />
h1 id=”partly”>3. Partly/h1>
h3>Industry: Automotive Parts Intelligence / AI Technology / Fintech Infrastructure/h3>
h3>Headquarters: Copenhagen, Denmark (with U.S. expansion underway)/h3>
h3>CEO: Not publicly disclosed at this time/h3>
h3>Website: <a href=”https://www.partly.com/” target=”_blank” rel=”noopener”>https://www.partly.com/a> — [Primary funding announcement: <a href=”https://www.prnewswire.com/news-releases/partly-closes-historic-series-b-raise-at-500m-valuation-and-announces-immediate-us-market-expansion-302807008.html” target=”_blank” rel=”noopener”>https://www.prnewswire.com/news-releases/partly-closes-historic-series-b-raise-at-500m-valuation-and-announces-immediate-us-market-expansion-302807008.html/a>]/h3>
h3>Public Phone: Not publicly available/h3>
h3>Public Email: Not publicly available/h3>
h3>Primary Funding Source: <a href=”https://www.prnewswire.com/news-releases/partly-closes-historic-series-b-raise-at-500m-valuation-and-announces-immediate-us-market-expansion-302807008.html” target=”_blank” rel=”noopener”>Partly Closes Historic Series B at $500M Valuation (June 23, 2026)/a>/h3>
h3>Funding Amount: $50 million Series B at $500 million valuation/h3>
h3>Funding Date: June 23, 2026/h3>
h3>What They Do/h3>
p>Partly is an automotive parts intelligence and financial technology platform that uses artificial intelligence to optimize the global spare parts supply chain. The company provides AI-driven tools for predicting parts demand, managing inventory, identifying parts across vehicle specifications, and financing the working capital required to maintain optimal parts inventory levels. Partly’s platform serves automotive manufacturers, parts distributors, repair networks, and fleet operators worldwide./p>
h3>Mission/h3>
p>To transform the global automotive parts supply chain through AI-driven intelligence and embedded financial infrastructure./p>
h3>What They Appear To Be Seeking/h3>
ul>
li>U.S. market expansion and automotive industry partnerships/li>
li>Talent in automotive engineering, AI/ML, and financial services/li>
li>Expansion of parts intelligence database and AI model capabilities/li>
li>Integration with automotive OEM and distributor systems/li>
/ul>
h3>Deployment and Commercial Strategy/h3>
p>Partly deploys its platform as a cloud-based solution that integrates with existing parts management and inventory systems used by automotive distributors and repair networks. The company’s AI engine analyzes historical demand data, vehicle fleet distributions, and regional factors to generate parts demand forecasts. Commercial engagement typically includes platform licensing, data integration services, and embedded financing for parts inventory./p>
h3>Financing and Capital Allocation/h3>
p>The $50 million Series B announced on June 23, 2026, at a $500 million valuation, provides capital for immediate U.S. market expansion, technology platform development, and team growth. The round positions Partly to compete in the large and growing automotive parts intelligence market, where AI-driven demand forecasting and embedded financial services create significant competitive advantages./p>
h3>Why Investors Are Watching — Editorial Interpretation/h3>
p>Partly’s combination of automotive intelligence and financial technology creates a defensible competitive position in the global spare parts market. The company’s $50 million Series B at a $500 million valuation signals strong institutional confidence in its European success and U.S. expansion potential. Investors are watching because the automotive parts supply chain represents a massive, fragmented market that has been slow to adopt AI-driven optimization. Companies that can demonstrate measurable improvements in parts availability, inventory turnover, and capital efficiency across the supply chain create value that compounds across thousands of individual transactions. Partly’s U.S. expansion announcement makes this a particularly important round to monitor./p>
hr />
h1 id=”patronus”>4. Patronus AI/h1>
h3>Industry: AI Agent Training and Simulation / AI Infrastructure/h3>
h3>Headquarters: Not publicly disclosed at this time/h3>
h3>CEO: Not publicly disclosed at this time/h3>
h3>Website: <a href=”https://www.patronus.ai/” target=”_blank” rel=”noopener”>https://www.patronus.ai/a> — [Primary funding announcement: <a href=”https://www.prnewswire.com/news-releases/patronus-ai-raises-50-million-series-b-and-unveils-first-digital-world-models-for-ai-agent-training-and-simulation-302811248.html” target=”_blank” rel=”noopener”>https://www.prnewswire.com/news-releases/patronus-ai-raises-50-million-series-b-and-unveils-first-digital-world-models-for-ai-agent-training-and-simulation-302811248.html/a>]/h3>
h3>Public Phone: Not publicly available/h3>
h3>Public Email: Not publicly available/h3>
h3>Primary Funding Source: <a href=”https://www.prnewswire.com/news-releases/patronus-ai-raises-50-million-series-b-and-unveils-first-digital-world-models-for-ai-agent-training-and-simulation-302811248.html” target=”_blank” rel=”noopener”>Patronus AI Raises $50M Series B and Unveils First Digital World Models (June 25, 2026)/a>/h3>
h3>Funding Amount: $50 million Series B/h3>
h3>Funding Date: June 25, 2026/h3>
h3>What They Do/h3>
p>Patronus AI is building digital world models and simulation infrastructure specifically designed for AI agent training and evaluation. The company creates simulated environments where AI agents can be trained, tested, and evaluated before deployment in real-world enterprise environments. Patronus’s digital world models simulate complex enterprise workflows, customer interactions, and business processes, providing a safe and scalable platform for AI agent development, testing, and continuous improvement./p>
h3>Mission/h3>
p>To create the digital world models and simulation infrastructure that enable safe, effective AI agent training and deployment at enterprise scale./p>
h3>What They Appear To Be Seeking/h3>
ul>
li>Enterprise customers developing and deploying AI agents/li>
li>Strategic partnerships with AI model providers and platform companies/li>
li>Expansion of simulation capabilities across diverse industry verticals/li>
li>Talent in AI/ML, simulation engineering, and enterprise sales/li>
/ul>
h3>Deployment and Commercial Strategy/h3>
p>Patronus deploys its simulation platform as a cloud-based infrastructure layer that integrates with existing AI agent development and orchestration tools. The company’s approach provides simulated environments that replicate real-world enterprise conditions, enabling AI agents to be trained and evaluated without risk to actual business operations. Enterprise deployment typically involves custom simulation environments tailored to specific industry verticals and use cases./p>
h3>Financing and Capital Allocation/h3>
p>The $50 million Series B announced on June 25, 2026, will fund digital world model development, simulation platform expansion, team growth, and commercial deployment. As AI agent adoption accelerates across enterprise environments, the need for reliable training and evaluation infrastructure becomes increasingly critical. Patronus’s announcement of its first digital world models positions the company at the forefront of this emerging category./p>
h3>Why Investors Are Watching — Editorial Interpretation/h3>
p>AI agent simulation and training infrastructure is emerging as a critical enabling layer for the next generation of enterprise AI. As organizations move from deploying single AI models to orchestrating complex multi-agent systems, the need for reliable training, testing, and evaluation platforms becomes fundamental. Patronus’s positioning as a provider of digital world models for AI agent training creates a defensible competitive position: companies that can simulate real-world enterprise conditions at scale provide essential infrastructure for safe AI deployment. The $50 million round signals institutional confidence in this category and positions Patronus among the leading companies in the AI agent infrastructure ecosystem./p>
hr />
h1 id=”earlytrade”>5. Earlytrade/h1>
h3>Industry: Agentic AI / Construction Payments Technology / Fintech/h3>
h3>Headquarters: Not publicly disclosed at this time/h3>
h3>CEO: Not publicly disclosed at this time/h3>
h3>Website: <a href=”https://www.earlytrade.com/” target=”_blank” rel=”noopener”>https://www.earlytrade.com/a> — [Primary funding announcement: <a href=”https://www.prnewswire.com/news-releases/earlytrade-raises-25m-to-deploy-agentic-ai-across-the-construction-payments-ecosystem-302792033.html” target=”_blank” rel=”noopener”>https://www.prnewswire.com/news-releases/earlytrade-raises-25m-to-deploy-agentic-ai-across-the-construction-payments-ecosystem-302792033.html/a>]/h3>
h3>Public Phone: Not publicly available/h3>
h3>Public Email: Not publicly available/h3>
h3>Primary Funding Source: <a href=”https://www.prnewswire.com/news-releases/earlytrade-raises-25m-to-deploy-agentic-ai-across-the-construction-payments-ecosystem-302792033.html” target=”_blank” rel=”noopener”>Earlytrade Raises $25M to Deploy Agentic AI Across Construction Payments (June 9, 2026)/a>/h3>
h3>Funding Amount: Total capital raised of $25 million/h3>
h3>Funding Date: June 9, 2026 (new financing announced)/h3>
h3>Note: The $25 million represents Earlytrade’s total capital raised to date, not a single round amount./h3>
h3>What They Do/h3>
p>Earlytrade is building agentic AI technology to automate and optimize the construction payments ecosystem. The company uses artificial intelligence to streamline payment workflows, reconcile invoices, manage supplier payments, and provide financial visibility across construction project supply chains. Earlytrade’s platform addresses the chronic inefficiencies in construction payments, where manual processes, payment delays, and lack of financial visibility create significant friction for contractors, subcontractors, and suppliers./p>
h3>Mission/h3>
p>To deploy agentic AI across the construction payments ecosystem, eliminating payment friction and improving financial transparency across construction supply chains./p>
h3>What They Appear To Be Seeking/h3>
ul>
li>Construction company and supplier adoption/li>
li>Integration with construction management and accounting platforms/li>
li>Expansion of AI agent capabilities across payment workflows/li>
li>Strategic partnerships with construction technology providers/li>
/ul>
h3>Deployment and Commercial Strategy/h3>
p>Earlytrade deploys its platform as a cloud-based solution that integrates with existing construction management software, accounting systems, and payment processing infrastructure. The company’s agentic AI system automates payment reconciliation, invoice matching, and supplier communication, reducing the manual effort required to manage construction payments. Commercial engagement typically includes platform licensing, data integration services, and ongoing AI agent management./p>
h3>Financing and Capital Allocation/h3>
p>The June 9, 2026 announcement marked Earlytrade’s total capital raised reaching $25 million, providing the financial foundation for continued product development, team expansion, and market adoption. As agentic AI applications expand beyond technology-focused sectors into traditional industries like construction, Earlytrade’s positioning at the intersection of AI and construction payments addresses a significant market opportunity./p>
h3>Why Investors Are Watching — Editorial Interpretation/h3>
p>Construction technology is one of the most promising sectors for agentic AI applications. The construction industry remains characterized by fragmented supply chains, manual payment processes, and limited financial visibility—conditions that are well-suited for AI-driven automation. Earlytrade’s deployment of agentic AI across the construction payments ecosystem addresses a fundamental operational challenge that has persisted for decades. The $25 million total capital position provides the resources needed to scale operations, but the real value proposition lies in the company’s ability to demonstrate measurable improvements in payment speed, reconciliation accuracy, and supply chain financial transparency. Investors are watching because successful construction payments technology companies can achieve deep market penetration across the large and growing construction technology sector./p>
hr />
h2 id=”market-observation”>Market Observation: The AI Agent Infrastructure Thesis/h2>
p>June 2026’s funding activity reinforces a structural thesis that has been developing throughout 2026: institutional investors are deploying capital into the infrastructure layer that supports the growing deployment of autonomous AI agents and enterprise AI applications. The five companies profiled here—spanning blockchain insurance, AI agent security, automotive parts intelligence, AI simulation infrastructure, and construction payments AI—share common characteristics that investors are prioritizing in 2026./p>
ul>
li><strong>AI agent ecosystem:</strong> Three of the five companies (NeuralTrust, Patronus AI, Earlytrade) operate in the emerging AI agent infrastructure category, signaling institutional recognition that agent-specific tools represent a new market segment/li>
li><strong>Data moats:</strong> Each platform generates or processes proprietary data that becomes more valuable as usage scales/li>
li><strong>Enterprise targeting:</strong> Each company targets enterprise or institutional customers with substantial budgets and complex operational needs/li>
li><strong>Defensible positioning:</strong> Each company occupies a specific infrastructure niche that is difficult for competitors to replicate due to technology complexity and market expertise requirements/li>
/ul>
p>This pattern is unlikely to reverse in the near term. As AI agent adoption accelerates across enterprise environments, the supporting infrastructure market is expected to grow significantly, creating opportunities for companies that can build reliable, secure, and scalable solutions./p>
hr />
h2 id=”looking-ahead”>Looking Ahead/h2>
p>As the market continues evolving through the remainder of 2026, investors should monitor the following developments closely: /p>
ul>
li>AI agent security standards and regulatory frameworks/li>
li>Automotive parts intelligence platform adoption and market expansion/li>
li>AI simulation and training infrastructure deployment at enterprise scale/li>
li>Blockchain-based insurance product adoption and regulatory developments/li>
li>Agentic AI deployment in traditional industries including construction/li>
li>Ongoing consolidation in the AI infrastructure investment landscape/li>
/ul>
p>Future editions of the <strong>Miami Emerging Company Intelligence Report</strong> will continue highlighting companies demonstrating meaningful commercial traction, technological innovation, and institutional relevance. /p>
hr />
h2 id=”faqs”>Frequently Asked Questions/h2>
h3>Q: Why are these companies grouped together in a single report?/h3>
p>A: The companies were selected because they each reported significant publicly reported funding activity or strategic milestones during June 2026. They are grouped together because they share a common investment thesis: institutional capital is increasingly flowing into infrastructure-layer technology companies that serve enterprise and industry-specific customers, with particular focus on the emerging AI agent ecosystem. Each company was evaluated independently based on publicly available data./p>
h3>Q: What is the significance of Partly’s $500 million valuation?/h3>
p>A: Partly’s $500 million Series B valuation reflects institutional confidence in its automotive parts intelligence platform and its planned U.S. market expansion. As a European-based company expanding into the large U.S. automotive parts market, the valuation signals that investors see significant growth potential in AI-driven parts supply chain optimization./p>
h3>Q: Does Earlytrade’s $25M represent a single funding round?/h3>
p>A: No. The June 9, 2026 announcement indicated that Earlytrade’s total capital raised had reached $25 million. This is the cumulative total capital raised by the company to date, not the size of a single round./p>
h3>Q: Are these companies investment recommendations?/h3>
p>A: No. These companies are presented for informational and editorial purposes only. Inclusion in this report does not constitute an investment recommendation, endorsement, or prediction of future performance. Readers should conduct their own due diligence and consult qualified financial professionals before making investment decisions./p>
h3>Q: What is the significance of the June 2026 reporting period?/h3>
p>A: The June 2026 reporting period captures companies that entered the month with significant publicly reported funding activity, product development milestones, or commercial expansion. This edition was originally published on June 26, 2026, and has been updated in November 2026 to provide a full June 1–30 retrospective./p>
hr />
h2 id=”cta”>Call to Action/h2>
p><strong>Stay informed on emerging company deal flow.</strong> The <strong>Miami Emerging Company Intelligence Report</strong> is published monthly, highlighting companies demonstrating meaningful commercial traction, technological innovation, and institutional relevance. Subscribe to MiamiBusiness.com and MiamiFinancialServices.com for monthly updates on emerging technology deal flow, institutional investment trends, and enterprise technology company profiles. /p>
hr />
h2 id=”disclaimer”>Editorial & Investment Disclaimer/h2>
p>The information published by <strong>MiamiBusiness.com</strong> and <strong>MiamiFinancialServices.com</strong> is provided solely for informational, educational, and journalistic purposes./p>
p>Nothing contained in this publication constitutes investment advice, financial advice, legal advice, tax advice, accounting advice, securities recommendations, or a solicitation to buy, sell, or invest in any security, company, private placement, venture capital fund, private equity fund, cryptocurrency, or other financial instrument./p>
p>Companies discussed have been selected based on publicly available information and editorial judgment. Inclusion does <strong>not</strong> constitute an endorsement, recommendation, ranking, or prediction of future performance./p>
p>MiamiBusiness.com, MiamiFinancialServices.com, Wilson Alvarez Consulting Group, Inc., and their affiliates are <strong>not</strong> registered investment advisers or broker-dealers. Readers should perform their own due diligence and consult qualified financial, legal, tax, and accounting professionals before making investment or business decisions./p>
p>Information may change without notice, and no warranty is made regarding its completeness or accuracy. All trademarks and company names remain the property of their respective owners and are used solely for editorial identification./p>
p class=”author”><em>Published by MB – Editor. | MiamiBusiness.com | Wilson Alvarez Consulting Group, Inc. | All Rights Reserved</em>/p>
p class=”update-note”><em>Updated November 2026 to provide full June 1–30 retrospective; original post June 26, 2026.</em>/p>/blockquote>

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