Agentic Capital Markets: AI and Blockchain Transforming Private Markets with Edwin Mata

Agentic Capital Markets: AI and Blockchain Transforming Private Markets with Edwin Mata

Join Edwin Mata, CEO and Co-Founder of Brickken, for a forward-looking examination of the structural migration reshaping global private finance. For years, traditional private capital markets have remained plagued by manual legal paperwork, siloed asset registries, and illiquid secondary trading loops. While the first wave of real-world asset (RWA) tokenization successfully demonstrated how Web3 rails can represent equity, debt, and real estate on-chain, Edwin argues that tokenization alone is just the preliminary step. Drawing from his background in M&A corporate law and Web3 systems architecture, Edwin details how Brickken is building the operational asset layer for "Agentic Capital Markets"—a paradigm shift where machine-readable financial assets, programmatic compliance standards like ERC-7943, and autonomous AI agents converge to execute end-to-end asset issuance, investor onboarding, and cross-border capital allocation. 🎯 Insights You’ll Learn: The Agentic Capital Market Shift: Moving past static token issuance to build machine-readable financial instruments that autonomous AI agents can query, trade, and manage. Standardizing Institutional RWA: How pioneering Ethereum standards like ERC-7943 embed regulatory compliance, transfer restrictions, and jurisdiction-aware logic directly into asset smart contracts. Autonomous Investor Operations: Replacing manual KYC/AML tracking and accredited investor verification with automated, on-chain identity verification and dynamic rule enforcement. AI-Driven Market Discovery: How autonomous agents leverage cross-chain data feeds to identify capital mispricings, evaluate private credit yields, and execute instant liquidity matching. 🌍 Why This Matters: Private markets represent hundreds of trillions of dollars in illiquid value, yet capital allocation remains severely bottlenecked by slow administrative overhead, fragmented geographic silos, and high intermediary costs. Edwin Mata is solving this institutional friction point at its core. Under his leadership, Brickken has grown into a leading institutional infrastructure provider that powers the entire lifecycle of real-world asset tokenization. By engineering the underlying compliance protocols and developer infrastructure required for AI agents to operate on-chain safely, Edwin is opening the door for 24/7 global liquidity, automated portfolio rebalancing, and democratized access to institutional-grade private assets. 👤 Expert Background: CEO & Co-Founder of Brickken, a leading global infrastructure provider enabling the compliant tokenization, management, and distribution of real-world assets. Cross-Border M&A & Technology Attorney, who specialized in international corporate transactions and regulatory frameworks prior to founding Brickken. Institutional Standard Co-Architect, actively driving the development and adoption of open Ethereum standards like ERC-7943 for institutional RWA interoperability. Global Web3 Keynote Speaker & University Lecturer, recognized as a leading voice on digital securities regulation, asset-backed tokens, and AI-driven financial markets. 🎙️ Hosted by Gary Fowler, CEO of GSD Venture Studios — global AI entrepreneur, investor, and innovation leader spotlighting founders navigating the realities of building in the AI era. 💡 Perfect For: Chief Investment Officers, Asset Management Directors, Private Equity Partners, FinTech Product Architects, Web3 Infrastructure Developers, and Venture Capitalists tracking the convergence of artificial intelligence, blockchain rails, and institutional private markets. 🚀 Timely Topic: As institutional appetite for real-world asset tokenization expands rapidly in 2026, the key competitive bottleneck is no longer issuing tokens, but enabling intelligent systems to trade and manage them safely. Edwin Mata is delivering the definitive blueprint and technical infrastructure required to build agentic financial markets.

The Upstream Shift: Replacing Construction's Compliance Bottleneck with Marian Pulford

Join Marian Pulford, Co-Founder and CEO of Kestrel Labs, for an insightful evaluation of why optimizing broken workflows is a losing strategy for category-defining startups. In the tech world, most founders compete by building incremental software wrappers designed to make manual tasks marginally faster or cheaper. Marian argues that the true deep-tech breakthroughs occur when operators challenge the foundational assumption that those painful workflows need to exist in the first place. Focusing on the built environment—one of the world's largest, most capital-intensive, yet least digitized markets—we explore how Kestrel Labs is eliminating the traditional, high-friction regulatory review loop. 🎯 Insights You’ll Learn: The Workflow Substitution Thesis: Why long-term enterprise value is won by completely replacing outdated industrial workflows rather than creating superficial speed optimizations. Structuring the Unstructured Built Environment: How Kestrel converts complex municipal building codes into an objective, machine-readable data layer to power autonomous design auditing. BIM-Native Compliance Integration: The engineering strategy behind running comprehensive 30-second regulatory checks directly within active Autodesk Revit and Trimble Connect models. The 80/20 Compliance Split: Automating the 80% of black-and-white, objective municipal zoning rules so that human expert judgment can focus entirely on the remaining 20% of ambiguous code. The Pre-Seed Scaling Roadmap: Tactical lessons from closing a $2.15 million financing round led by New Stack Ventures and First Mile Ventures to scale a nine-person deep-tech engineering team. De-Risking the Capital Pipeline: How moving regulatory validation upstream saves real estate developers months of expensive design rework and severe local permitting delays. 🌍 Why This Matters: Every single severe permitting delay, late-stage design overhaul, and unexpected field surprise during construction can be traced back to an unresolved code violation buried deep in the early design phase. Historically, the commercial architecture and construction fields accepted this catastrophic friction as the unavoidable cost of doing business. Marian Pulford refused to accept that premise. Backed by an authoritative data agreement with the International Code Council (ICC), Kestrel Labs provides an automated compliance engine right at the moment design decisions are actively being made. 👤 Expert Background: Co-Founder & CEO of Kestrel Labs, a pioneering construction technology company building the first native AI-powered building code compliance platform inside BIM. Cross-Functional Operations Executive, who previously directed high-impact fundraising, strategy, and operational rollouts across large-scale nonprofit and urban development sectors. Category-Defining Deep-Tech Leader, building structural information systems to digitize the compliance workflows of the global real estate and construction industries. 🎙️ Hosted by Gary Fowler, CEO of GSD Venture Studios — global AI entrepreneur, investor, and innovation leader spotlighting founders navigating the realities of building in the AI era. 💡 Perfect For: Principal architects, enterprise real estate developers, property technology (PropTech) investors, municipal permitting officers, and deep-tech founders aiming to disrupt heavily regulated, analog asset classes. 🚀 Timely Topic: As the global built environment grapples with rapid urbanization and complex, evolving local zoning ordinances, legacy manual code research has officially hit its limit. Marian Pulford is delivering the exact automated framework required to turn regulatory constraints into a seamless, programmatic utility. Subscribe for more global founder conversations from GSD Venture Studios: https://gsdvs.com #PropTech #ConTech #KestrelLabs #BIM #BuildingCode #Automation #MarianPulford #GaryFowler #GSDVentureStudios

The Polymeric Reset: Chemical Recycling of Plastic and Textile Waste with Dr. Maurizio Crippa

Join Dr. Maurizio Crippa, Founder and Chief Scientific Officer of GR3N, for a deep dive into the chemical realities required to achieve a true circular economy. For decades, global sustainability initiatives relied on traditional mechanical recycling—a process that cuts polymer chains, degrades material quality, and inevitably results in plastic downcycling and eventual landfill disposal. Maurizio argues that to close the loop on complex human waste, we must move past these physical limitations and embrace advanced chemical recycling. Drawing from a distinguished career in materials science and his tenure as Vice President of Chemical Recycling Europe, Maurizio breaks down how GR3N uses a proprietary microwave-assisted technology to split PET plastics and polyester textiles back into their virgin-quality chemical building blocks, and why building deep-tech environmental infrastructure requires a complete shift in both societal mindsets and patient capital. 🎯 Insights You’ll Learn: The Limitations of Sorting: Why mechanical recycling fundamentally breaks down when faced with complex, multi-layer food packaging and mixed-fiber post-consumer textile waste. The Microwave-Assisted Depolymerization Breakthrough: How GR3N’s patented MADE (Microwave Assisted DEpolymerisation) platform utilizes specific electromagnetic frequencies to deconstruct polyethylene terephthalate (PET) into its original monomers (TPA and MEG) in a fraction of traditional process times. The Virgin-Like Standard: Why achieving a true circular loop requires generating recycled chemical outputs that are chemically identical to fossil-fuel derivatives, passing strict food-contact safety thresholds. The Textile Paradox: Overcoming the severe technical barriers of processing polyester garments embedded with complex dyes, elastane fractions, and multi-material hardware. The Role of Non-Dilutive Capital: How to strategically leverage state and international innovation grants—like GR3N's €35 million EU Innovation Fund grant—as foundational tools to de-risk capital-intensive technology. 🌍 Why This Matters: The world produces over 400 million tons of plastic waste annually, and the fashion industry accounts for millions of tons of discarded synthetic textiles that are structurally impossible to recycle with yesterday's tools. Simply asking consumers to sort better cannot solve a molecular problem. Dr. Maurizio Crippa is delivering the definitive physical solution. By designing an advanced thermodynamic execution platform that handles highly contaminated waste streams, GR3N prevents high-value carbon molecules from being incinerated or buried. 👤 Expert Background: Founder & Chief Scientific Officer of GR3N, a pioneering deep-tech chemical engineering firm scaling advanced depolymerization solutions globally. PhD in Materials Science & Academic Researcher, specializing in organic, inorganic, and polymer chemistry prior to transitioning into deep-tech entrepreneurship. Co-Founder & Former Vice President of Chemical Recycling Europe, actively shaping global circular economy policies and regulatory frameworks from 2020 to 2024. Co-Chairman of the Textile Working Group at Petcore Europe, directing international standards for polyester and PET value-chain circularity. 🎙️ Hosted by Gary Fowler, CEO of GSD Venture Studios — global AI entrepreneur, investor, and innovation leader spotlighting founders navigating the realities of building in the AI era. 💡 Perfect For: Sustainability venture capital partners, chemical engineering executives, supply chain sustainability directors, packaging designers, and deep-tech founders navigating the realities of capital-intensive industrial asset deployment. 🚀 Timely Topic: As international environmental laws tighten and multinational consumer brands scramble to meet mandatory recycled-content deadlines, standard waste collection systems are hitting their limit.

The Neutral Compute Layer: Breaking the Closed AI Financial Bottleneck with Eugene Cheah

Join Eugene Cheah, CEO and Co-founder of Featherless AI, for an eye-opening exploration into the hidden infrastructure crisis threatening the scalability of enterprise artificial intelligence. For the past few years, the corporate tech playbook has been completely dependent on a handful of closed-source foundational models running on single clouds. Yet, as companies attempt to shift from superficial prototypes to full-scale production, the financial reality of token fees has turned into an unsustainable tax—inherently constraining engineering speed and wiping out margins. Drawing from his elite computer science background at the National University of Singapore and his leadership in the Linux Foundation's attention-free RWKV project, Eugene explains why the multi-billion-dollar enterprise landscape must migrate to a neutral open-source framework, and how Featherless AI is making that shift an instant operational reality. 🎯 Insights You’ll Learn: The Token Tax Crisis: Why spending over a million dollars annually on closed-source tokens creates an artificial ceiling on enterprise software development and product margins. The "Elephant in the Room": How high-performing, cheaper, and faster open-weight models are systematically dismantling the idea that enterprises need to pay a premium for massive, general-purpose models. Taming "Token Anxiety": How moving to flat capacity pricing and dynamic scaling allows enterprise dev teams to size their server fleets to throughput needs rather than model count. Replacing the Transformer: The technical architecture behind RWKV—the attention-free open model project under the Linux Foundation designed to completely bypass the memory limits of traditional transformers. The $20M Series A Blueprint: Strategic takeaways from closing their latest institutional round co-led by AMD Ventures and Airbus Ventures to scale their global model marketplace. 🌍 Why This Matters: The ongoing pre-training wars between massive tech labs have obscured the actual bottleneck of enterprise deployment: flexibility and predictability. Forcing a company to hardcode its entire architecture to a single closed vendor leaves them exposed to abrupt API pricing shocks, unexpected model deprecations, and severe data sovereignty vulnerabilities. Eugene Cheah is building the definitive neutral alternative. By serving over 30,000 open models spanning language, vision, and audio through a single, lightning-fast unified API, Featherless AI operates as the fastest-growing inference partner on Hugging Face. 👤 Expert Background: CEO & Co-founder of Featherless AI, the San Francisco-based serverless AI platform providing instant API access to the largest library of specialized open models. Co-leader of the RWKV Project under the Linux Foundation Data & AI, pioneering linear-attention architectures that scale to massive contexts with zero quadratic memory penalties. Former CTO & Co-founder of Uilicious, an automated, low-code user interface testing platform utilized by international enterprise dev teams. 🎙️ Hosted by Gary Fowler, CEO of GSD Venture Studios — global AI entrepreneur, investor, and innovation leader spotlighting founders navigating the realities of building in the AI era. 💡 Perfect For: Chief Information Officers, Principal AI Engineers, Enterprise Architects, Venture Capitalists investing in deep-tech infrastructure, and software founders looking to maximize model performance without surrendering control of their unit economics. 🚀 Timely Topic: As enterprise buyers reevaluate their cloud spending in 2026, the ultimate competitive advantage belongs to platforms that can replace volatile, usage-based fees with predictable hardware execution. Subscribe for more global founder conversations from GSD Venture Studios: https://gsdvs.com #OpenSourceAI #AIInference #FeatherlessAI #RWKV #CloudInfrastructure #DeepTech #EugeneCheah #GaryFowler #GSDVentureStudios

The Tribal Bottleneck: Why AI Agents Fail Without Structured IT Data with Pinar Ormeci

Join Pinar Ormeci, CEO of Lexful, for an unvarnished examination of the execution barrier stalling the next era of enterprise automation. While the tech industry rushes to build autonomous AI agents capable of handling complex work, they are systematically ignoring a foundational crisis: AI is only as reliable as the data it has access to. Nowhere is this "knowledge debt" more visible than in the Managed Service Provider (MSP) sector—the massive industry that quietly operates the digital infrastructure and cybersecurity for millions of global businesses. Drawing from over two decades of experience scaling global tech giants and leading high-growth startups through major acquisitions, Pinar breaks down why "tribal knowledge" is the ultimate bottleneck for AI, and how Lexful is reengineering how technical knowledge is captured, updated, and used. 🎯 Insights You’ll Learn: The Tribal Bottleneck: Why layering advanced AI agents onto outdated wikis, chaotic Slack channels, and undocumented "engineer memory" results in complete operational failure. The MSP Reality Check: How the teams running the world's commercial IT lines are trapped in an "operational mess," working off documentation that goes stale the moment it is saved. The Multi-Tab Scavenger Hunt: Why manual documentation workflows fail, forcing junior technicians to waste valuable minutes hunting for credentials, passwords, and network layouts during high-stakes outages. Defining AI-Ready Documentation: Moving beyond basic text paragraphs to construct machine-readable, structured relationship layers that AI models can safely reason over. Inside the "Knowledge Ops" Framework: How Lexful’s platform automatically captures, organizes, and maintains IT documentation as engineers work, bypassing the need for manual record-keeping. Deploying Ask Lex: Utilizing an intentional, context-aware AI data assistant to answer complex deployment queries in natural language, dropping technician onboarding timelines from months to days. The $150M+ Executive Playbook: Applying elite operational discipline from Qualcomm, Ericsson, and Timus Networks to build deep, venture-backed enterprise category leaders. 🌍 Why This Matters: In 2026, over 90% of IT organizations acknowledge that artificial intelligence is fundamental to their survival, yet the vast majority state that poor data quality blocks their implementation. When critical infrastructure configurations exist only in a senior engineer's head, the organization is incredibly vulnerable to human churn and tech burnout. Pinar Ormeci is solving this structural challenge. Backed by a $7 million seed round led by Top Down Ventures and York IE, Lexful treats technical documentation not as a passive chore, but as active operational intelligence. By natively mapping relationships between client assets, credentials, and live runbooks from day one, Lexful provides the essential, secure knowledge engine required to transition IT service delivery from chaotic manual response to high-velocity, autonomous execution. 👤 Expert Background: CEO of Lexful, the premier AI-native IT documentation platform transforming knowledge infrastructure for the global MSP community. Former CEO of Timus Networks, a high-growth cybersecurity innovator recently acquired by CyberFOX. Distinguished Global Executive who managed a $150M+ P&L at TNS (Nasdaq: TNSI) through its successful strategic acquisition by Siris Capital. R&D Systems Engineer & Consultant, who launched her career directing systems development at Qualcomm and leading large-scale digital transformation initiatives across Europe for Ericsson. Recognized Industry Leader, named among the Top 50 Women CEOs, holding corporate and advisory board seats across the global cybersecurity and AI ecosystems. Subscribe for more global founder conversations from GSD Venture Studios: https://gsdvs.com #MSPTech #ITDocumentation #Lexful #KnowledgeOps #AIAgents #TechLeadership #PinarOrmeci #GaryFowler