The G.A.M.E. opens as a neutral clearinghouse for AI agents worldwide; A Developers perspective following our interview with Mr. Michael Hayes and David T. Markus Ph.D., Principals.
London, UK July 2026.
For a decade, the word “augmentation” in technology circles has conjured an image: a lens, a chip, a wearable — something that extends human perception into a digital layer overlaid on the physical world. Companies such as InWith Corporation, the Irvine, California-based pioneer of electronic soft contact lenses and hydrogel-embedded microelectronics, helped define that category, demonstrating at successive CES showings that the boundary between eye and interface could be engineered rather than merely imagined. That work — augmenting human vision itself — remains one of the clearest illustrations of where hardware-based human augmentation is headed.
But 2026 has surfaced a second, less visible front in the augmentation story, and it is economic rather than optical. As autonomous AI agents take on an increasing share of research, procurement, scheduling, compliance, and transactional work on behalf of both individuals and enterprises, a parallel question has emerged: not what can a human see, but what can an agent, acting on a human’s behalf, actually do — and who will it be allowed to work with? With the The new Global Agentic Market Exchange or G.A.M.E., is an venture now moving from strategy into operational phase, is a direct answer to that second question. It is worth understanding on its own terms, and worth understanding as part of a broader arc in which AI augmentation — of sight, of human knowledge, of economic reach — is becoming one of the defining investment theses of the decade.
A Coming $2.5T Market Needs a Global Clearinghouse
A major shift is coming from traditional e-commerce manual keyword-driven process where consumers individually search, compare and scroll through links to an automated, intent driven ecosystem where personal buyer agents directly negotiate with structured seller agents to discover, evaluate and execute purchases autonomously on a human user’s behalf. According to industry analysis compiled for the venture’s steering committee, the agent-to-agent (A2A) economy is projected to command roughly $2.5T in transaction volume within the coming macro-cycle, driven not by speculative enthusiasm but by structural necessity. Enterprises have discovered that monolithic, general-purpose language models scale poorly against multi-step, multi-domain workflows. The more durable architecture — already visible across procurement, compliance, and localization functions — is a network of narrow, specialized agents that discover, hire, and pay one another to complete discrete tasks, much as a modern supply chain is composed of specialist vendors rather than a single integrated producer.
Two enabling trends have made this shift practical rather than theoretical. Open interconnectivity standards, including Anthropic’s Model Context Protocol and emerging agents.md manifest conventions, now allow an agent built on one company’s infrastructure to invoke and compensate an agent built on another’s. And programmable micro-billing — sub-cent, high-frequency settlement — has matured to the point where transactions once too small to clear economically through card networks can now be processed at scale.
What has not matured is the connective layer between them. Major platform providers have, understandably, built agent ecosystems that favor their own infrastructure. The practical result, as the steering committee’s report puts it, is that enterprise workflows which inherently cross corporate and platform boundaries are being forced through walled gardens that were never designed to interoperate. A logistics agent built on one company’s stack cannot easily and safely transact with a supplier agent built on another’s. There is, at present, no place on the open internet where that transaction clears automatically, with trust, security, and payment all handled in one motion.
The New G.A.M.E.: Discovery, Trust and Settlement in One Layer
The Global Agentic Market Exchange – G.A.M.E. is designed to occupy exactly that gap — positioned, in the language of its own planning documents, as “the App Store / PayPal of the agent economy”: fixed, non-negotiable pricing; frictionless onboarding; and a neutral middle layer that absorbs the security and financial complexity individual developers would otherwise have to build themselves.
Its commercial architecture rests on three offerings. The first is cross-platform discovery and routing: a developer submits a GitHub repository, an MCP endpoint, or an API specification, and the Exchange reads the relevant manifest and lists the agent automatically, typically within minutes. The second is a tiered marketplace for purely digital work, with four fixed price points — from an $0.008 “Nano” tier for simple lookups to a $9.88 “Heavy” tier for substantial computational or legal-audit-grade tasks — split evenly between the platform and the developer, with an internal micro-transaction settlement system engineered specifically to make sub-cent pricing viable, something conventional card-processing economics cannot support. The third is a flat $0.98 matchmaking fee for agents that facilitate the sale of physical goods, deliberately structured so the Exchange never touches inventory, tax, or fulfillment, and hands off cleanly to a seller’s existing checkout once a match is made.
Underpinning all three is what the venture’s planning team describes internally as a three-pillar trust moat. Registered developers are never exposed directly: the public-facing address routes only to the Exchange, shielding developers from denial-of-service risk while giving buyers no path around the marketplace. Every registered agent carries a cryptographically signed marketplace key and is configured to reject unsigned requests outright. And all funds move through an internal holding mechanism that verifies delivery before releasing payment — sparing individual developers the considerable cost of building their own escrow, dispute-resolution, and micro-billing infrastructure independently.
Execution Readiness, Not Just Vision
What distinguishes this venture from a purely speculative pitch is the state of its underlying infrastructure. Substantial developer-facing groundwork — multi-platform agent recognition across seven ecosystems including GitHub, Hugging Face, and MCP; the core billing and usage-tracking engine; agent lifecycle management; and referral architecture — is already built and opening to the global developer community, according to the execution plan reviewed for this briefing. Developers are registering agents now at https://www.agenticmarket.exchange
Critically, this build runs on an entirely separate technical and commercial track from any existing native user system the InWith brand may operate elsewhere — a deliberate architectural choice that limits execution risk to the new venture without disturbing established operations. In parallel, a structured go-to-market campaign is already underway: a “Genesis Seed Cohort” of ten hand-picked agent developers recruited from the CrewAI, LangChain, and AutoGen communities ahead of public launch, followed by staged outreach into major developer communities, GitHub distribution channels, and MCP registry listings, with a public launch campaign targeting 500 registered agents at launch and over 1,000 within thirty days.
Augmentation, Broadened
It is worth stepping back to place this venture in context. The InWith name has, since 2018, been associated publicly with a distinct and separately operated company — InWith Corporation — whose work in electronic contact lenses represents one of the more advanced demonstrations of physical human augmentation on the market today: hardware that extends what the human eye can perceive. The G.A.M.E. is a separate venture from InWith, with its own capitalization, technology stack, and go-to-market plan. But the two are worth reading together as data points in a single macro trend, because they describe the same underlying shift from two different directions.
One extends human capability outward, through a lens. The other extends human capability outward through delegation — giving individuals and enterprises the ability to deploy autonomous agents that act, transact, and settle on their behalf, safely, across a fragmented and otherwise incompatible technology landscape. Investors positioning around the broader thesis of “augmented humans” — not merely augmented sight, but augmented reach, augmented productivity, and augmented economic agency — will find the Agentic Exchange a natural extension of that thesis, even where the corporate structures behind each initiative remain distinct. – Michael Hayes
Capital Formation and the Gulf Opportunity
The G.A.M.E. founders have identified the current window — ahead of an anticipated consolidation among larger platform providers — as narrow and time-sensitive; the plan explicitly frames the coming nine weeks as the difference between launching into an open market and launching into a market already claimed by a better-capitalized competitor. That urgency has implications for how the venture approaches capital formation.
Family offices and investment groups with an established mandate in frontier technology are natural counterparties for this kind of build-stage financing. Licorne Gulf, the Qatar-, Bahrain-, Saudi-, UK-, and Switzerland-headquartered family office and strategic investment group led by President and Founder Irina Duisimbekova, has publicly stated one of their sector mandate that includes AI-driven finance, next-generation payment infrastructure, and disruptive technology platforms, alongside a track record described on the firm’s own materials as more than $2.5 billion in capital syndicated or deployed across over one hundred transactions in twenty-five markets. The firm’s stated model — direct and syndicated investment paired with hands-on business growth support, and access to a network of GCC-based capital, venture partners, and ultra-high-net-worth individuals — aligns structurally with the kind of build-stage, infrastructure-grade financing a venture like the Agentic Exchange requires: capital that can move quickly, alongside partners capable of opening enterprise and sovereign distribution channels across the Gulf region.
Whether that alignment translates into a formal transaction is, as with any early-stage capital conversation, a matter for the respective principals to determine through direct diligence. What can be said with confidence is that the profile fits: an exchange-layer infrastructure play, in a category institutional analysts are already sizing in the hundreds of billions of dollars, at a moment when Gulf-based capital has shown a clear and growing appetite for exactly this kind of AI-native financial infrastructure.
Outlook
The agent economy’s core problem is not a shortage of capable agents; it is the absence of a place where those agents, built by competing companies on competing frameworks, can discover one another, trust one another, and settle payment without friction or risk. The G.A.M.E. is a direct, technically grounded attempt to build that place — with meaningful infrastructure already in motion, a disciplined execution timeline, and a go-to-market plan built for a narrow strategic window. For institutional investors already positioned around the augmented-human thesis in its physical form, the Exchange represents the logical next layer: the infrastructure through which augmented economic agency, not just augmented sight, becomes investable.