Most acquirers see AI as a cost story. They run what they buy with less, often rebuilding working systems from the ground up, a gamble their customers cannot afford.
vs.
We see a growth story. We unlock software already in production for its next generation of users, repackaged for agents, without disrupting the pathways today’s users rely on. We believe this opens a far larger market at a minimal added cost.
Systems
One system, from the networklayer through the businesslogic.
A reference implementation of the complete software supply chain, built and operated by General Agentic. Multi-tenant, cloud-agnostic, and model-independent from the ground up.
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Network
Our own network, compute and data fabrics lead to fixed-cost compute. Owning the root of the stack keeps the economics predictable as agentic usage grows.
Supply chain
The machinery that moves software to its new users: continuous integration with real-time delivery, identity, connection APIs, permissioning and governance, and an SDK for seamless handoff. One integration at the core, not one per platform.
Business logic
The validated logic of the software we acquire, served to agentic systems at full fidelity. We do not rebuild it, we deliver it.
Our founders run the firm on this system, including the application that built this very page. We were its first users and the companies we partner with are its next.
Partnership
We partner with companies through acquisition.
Our process
We invest in established software companies and often take a controlling interest. The trusted name stays on the door, customers keep the product they rely on, and when their agents arrive, it is still the same core program powering their work.
Customers bring their agents, companies bring the trusted logic, and General Agentic brings the technology that connects them together.
In this era, software splits into a rewrite or a repackage. General Agentic buys where the natural path is a repackage, where the buyer runs an enterprise procurement process. We keep the system of record, we do not rebuild the core, and we connect the existing validated product to every agentic workspace and system their customers use.
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Phase 1 (First and Second Quarters)
Connect identity, leave the product alone
Nothing changes for the company's current customers. We connect the company's identity system and APIs to a governed distribution layer, and together we configure permissioning so an agent can work at the same fidelity a human user can. The company controls what is exposed, and to whom. People keep the sign-in they already have.
Phase 2 (Third and Fourth Quarters)
Open a governedroute into the AI systems they already use
The company's product becomes reachable from ChatGPT, Claude, and the other surfaces where work is starting. To users, it's the same product, under the same entitlements, just delivered through a new channel. Usage starts to climb, and we can test pricing models that are a win-win with the customers rather than only seats.
Phase 3 (Second Year Onward)
Ship the roadmap through that route
Development continues as the company planned. Every new feature can reach those workspaces without a second architecture. The company's team inherits the tooling to do that at product velocity. Its customers bring their own agents and pay their own inference. The roadmap starts growing where the new users are.
The results show up where it counts: new users on the same product, more revenue per customer, and a channel you can price, because the work now starts where the customers already work.
How we help
Growth is our focus, efficiency is our engine. We study the frontier of Silicon Valley and Wall Street, prove it out on ourselves, and install what works in our companies. We relentlessly source and test tactics and technologies that help our companies grow faster, more efficiently.
Growth
Build
Product Development & Velocity
We help companies build for agents, faster. This requires new surfaces, new permissions, and new features designed for agentic users. Companies’ teams start from our working system, not a blank page.
Sell
Sales, GTM & Customer Success
New users deserve new pricing. Agents don’t buy seats, so we help companies price what the product actually delivers: usage, tiers, and outcomes without breaking contracts. Buyers increasingly choose software their agents can reliably use, and every agent they deploy expands the account while tying companies’ products deeper into their work.
Efficiency
The stack
Software Supply Chain
Success in the agentic channel multiplies usage, and metered infrastructure bills companies for it. Over time the supply chain centralizes onto the one system we operate, the way a well-run fleet is renewed: opportunistically, piece by piece, as each part reaches the end of its useful life.
The business
Finance, Accounting & Back Office
Every company carries work that has nothing to do with its product. Finance, accounting, payroll, and reporting benefits as our portfolio scales. Companies’ teams’ time goes back to making the best products for their customers.
What we don’t change
Our portfolio companies spent years building their brands and earning their customers’ trust. That is what General Agentic sees is the core asset. We keep the core product, the name on the door, and the management that built it. Although we often take majority control, we do not hire a new general manager and our structure allows additional partners to participate as the platform scales. Our technology and our capital exist to compound what they built through the next platform shift.
Agents had their ChatGPT moment, but they haven’t had their App Store moment. That arrives when agents can sign in, find the genuine tool, and pay, all in one place.
By and ·October 2026 · New York, NY
Every platform shift has two moments. The first is when people see what the technology can do. The second is when it becomes easy to buy. In Agentliner, we called the first one the “ChatGPT moment”: one conversation in November 2022, and the future of work was clear to almost anyone who tried it. The second moment has not yet arrived for agents.
Jobs was describing a distribution problem, not a technology problem. The iPhone could already run software: but the best software was only publishable by Apple itself. What the iPhone ecosystem lacked was a way for a developer of any size to reach every user, and a way for every user to trust what they downloaded.
Agents have the same problem today. As we wrote in The Missing Metric, the market has no widespread way to price AI by the value it creates, because three frictions stand between an agent and the software it needs: authentication, procurement, and commerce. Each remains fragmented, underbuilt, or untested, and no single player has stitched them together.
The App Store solved all three so well that it is easy to forget they were ever problems. Authentication? The user doesn’t sign in; it already knows who they are. Procurement? The user searches “Gmail” and gets the one genuine app from Google, and malware never crosses their mind. Commerce? The user doesn’t type in a card number, it just charges correctly every time without ever posting an unexpected charge.
Those expectations feel obvious now. The path that produced them was anything but.
The App Store was not built from scratch. It was the third act of a store that started out selling songs.
Some of that history is still visible. On iOS 27, open the store inside the Apple Books app and try to gift a book to a friend. Toggle Airplane mode on and back off, and you’ll get an iTunes exception. Apple retired the iTunes app on the Mac in 2019, yet its name still surfaces in Apple’s checkout today. Try the same on other Apple storefronts and you may see the same family of error codes from the early 2000s.
Music no longer drives the store’s revenue, and much of the public assumes iTunes is long gone. But many users still transact through its descendants, often daily and across several devices: apps, subscriptions, books, and storage. The first price point was $0.99. Today, anyone who reads their credit card statement can see a monthly Apple bill that is often ten times that, and Apple still takes a cut of most of it.
From the vantage point of 2000, few would have bet on it. Apple was three years removed from the brink of bankruptcy and still fighting its way back. It would stumble into a new market through a small acquisition and its CEO’s side business in Hollywood, solve a series of seemingly unrelated problems, and come out the other side owning the gateway to software for the better part of two decades.
It took three acts.
Act I. Let’s Play: The iTunes Music Store (2003)
In the late 1990s, Napster set off a craze for sharing music over the internet. CDs stored music as uncompressed, unprotected audio that any computer could convert into MP3 files, and the jukebox software of the day leaned into it. When iTunes arrived, Apple marketed it with the slogan “Rip. Mix. Burn.” and invited users to load their CDs into the computer, build playlists, and burn them onto new discs. The files didn’t stay on people’s computers. They spread across file-sharing networks, illegally, and made it harder every year for record labels to sell music on physical media. Bad actors noticed, and started disguising malware as songs.
In 2000, three years after Jobs returned to Apple and the same year he dropped “interim” from his CEO title, Apple acquired a Mac MP3 player called SoundJam MP. Less than a year later, it relaunched the software as iTunes, overhauling the interface into something unmistakably Apple. Underneath, the database architecture and core engine stayed largely the same. In the language of The General Manager’s Folly, this was a repackage, not a rewrite: Apple kept the validated engine and changed how it reached people and this database structure persists today in Apple Music.
Two years later, in April 2003, Apple opened the iTunes Music Store with 200,000 songs at $0.99 each. The labels signed on in part because they had little left to lose. After years of piracy they were in recovery mode, and a store that paid them for every download beat a network that paid them for none.
AI is retracing these steps. Early chatbots could reproduce articles from The New York Times, sometimes nearly word for word and sometimes with fabricated details attributed to the paper, without the reader ever paying for a subscription. The Times made that claim central to its 2023 lawsuit against OpenAI and Microsoft. Many other publishers chose to license their archives instead. As with the labels in 2003, the first content owners to sign are the ones who decide that being paid beats being copied.
Act II. It’s Showtime: Movies and TV (2005–2006)
Video was a harder problem. There was no “Napster moment” for film: a song downloaded in seconds, but a movie could take hours on a home internet connection. The studios had watched the music industry’s decade of piracy and had no appetite to repeat it.
The way in came through Jobs’ other company. He was forced out of Apple in September 1985, and in February 1986 he put $10 million into spinning the computer graphics division out of Lucasfilm, $5 million of which went to Lucasfilm for its technology, in exchange for 70% of the new company. It took the name Pixar, a word co-founder Alvy Ray Smith invented to sound like a Spanish verb meaning “to make pictures.” Pixar had released its films through Disney since 1991, and when Disney bought Pixar for $7.4 billion in 2006, Jobs became Disney’s largest individual shareholder and joined its board.
Disney moved first on both fronts. In October 2005, while it was negotiating the Pixar purchase, ABC and Disney Channel became the first networks to sell TV episodes on iTunes, timed to the launch of the video iPod. In September 2006, Disney became the first studio to sell feature films there, opening with 75 titles from Disney, Pixar, Touchstone, and Miramax. Rival studios held back over pricing and piracy. Disney had fifteen years of partnership with Jobs’ Pixar and, now, Jobs in its boardroom.
Jobs pushed the two edges of the arch together and Apple’s track record in music distribution made the deal safe enough to sign. Videos arrived in near-DVD quality, wrapped in FairPlay, Apple’s own copy protection. FairPlay was cracked more than once over the years, but never badly enough to break the economics of the store.
Trust transferred. The labels had proven the store could pay content owners. Disney proved it could protect them. The next group to arrive would be software developers.
Act III. There’s an App for That: The App Store (2008)
In 2007, most software still shipped in a box, on a disc, with a license key typed in by hand. Jobs was famously protective of Apple’s walled garden, and his original plan for the iPhone was for third-party apps to live on the web.
Jobs was early more than he was wrong. Two decades later, much of the world’s software runs in a browser. But on a 2007 phone, the web could not answer the three questions that matter most:
Authentication.Every web app meant another username and password. There was no system-wide keychain that synced across devices, no “Sign in with Google” button, no two factor authentication. OAuth 2.0, the standard behind most sign-in buttons today, would not be finalized until 2012.
Procurement.Discovery ran through search engines like Google and Yahoo, which were built to sell advertising, not to distribute software. Finding the legitimate site was hard, mobile websites were notoriously thin, and offline support barely worked. The second the iPhone lost its connection, the app stopped working.
Commerce.Paying meant typing a card number into a different web form on every site. Each site and its payment processor stored those numbers its own way, too often insecurely, and card breaches were a regular headline.
Developers didn’t wait. Within weeks of the iPhone’s launch, hackers had jailbroken it and were installing native apps, some of them paid. On October 17, 2007, Jobs reversed course in a note on Apple’s website: “Let me just say it: We want native third party applications on the iPhone.” The delay, he explained, came from trying to “provide an advanced and open platform to developers while at the same time protect iPhone users from viruses, malware, privacy attacks, etc.” The SDK followed on March 6, 2008, and the App Store opened on July 10, 2008, with more than 500 apps.
Apple didn’t build a new store for software, it reused the music store its customers already trusted.
The answer to all three questions was already in Apple’s pocket: the account customers already had, the card they had already put on file to buy songs, and a catalog Apple had spent five years teaching them to trust. The record labels had made the store safe enough for the studios, and the studios had made it safe enough for developers.
The results compounded. In January 2026, Apple reported that developers had earned $550 billion on the App Store since 2008. Once users trusted the store across several kinds of products, Apple could change how software was sold: from one-time $0.99 downloads, to in-app purchases in 2009, to subscriptions, first for publishers in 2011 and then for every category of app in 2016.
Subscriptions mattered more than they first appeared. The App Store’s norm was that updates were free for life, which sat poorly with how software had always been sold: as numbered versions, like iMovie ’09, that customers paid for again with each release. As updates became continuous and new features slowed, developers ran out of reasons to charge for a new version. Subscriptions gave them steady income while features shipped on their own schedule, and they kept the software economy funded as it matured.
By 2019, streaming had largely replaced music downloads, and video streaming has since done much the same to movie and TV purchases. The store behind them never went away. Its accounts and payment systems still sit beneath much of what Apple sells, from apps to iCloud storage.
Agents have had their ChatGPT moment, but their App Store moment is still ahead.
Apple’s advantage was never a single feature. One company owned the account, the catalog, and the checkout, and stitched them together over years until buying software felt like nothing at all. Agents in 2026 face the same three questions the iPhone faced in 2007, and today the answers are scattered across dozens of vendors:
Authentication.Most agents still borrow a human’s identity: a password, an API key, a session token pasted into a configuration file. Few systems recognize an agent as a user in its own right, acting for a named principal under entitlements of its own. As we wrote in Agent in the Loop, the principal, the agent, and the software have to stay distinct for the work to be accountable.
Procurement.Directories of agent tools and MCP servers are multiplying, with little review and no reliable way to tell the genuine connector from a lookalike. The malware-laced MP3 has a new form, and an agent that installs the wrong tool can do damage at machine speed. In Contagent, we wrote that the enterprise needs a control that governs the software an agent may call. Procurement is where that control is missing.
Commerce.There is no standard wallet or budget for an agent. Spend runs through a person’s card or a vendor’s invoice, priced by seats or tokens that say little about the work done. Until an agent can pay for value inside a budget its principal set, the market cannot find the metric that prices agents by what they deliver.
Signs and Signals of the App Store Moment
How the App Store solved it (2008)
Where agents are (2026)
The signal to watch for
Authentication
One Apple ID, already signed in on the phone
Agents borrow human passwords, keys, and tokens
An agent signs in to enterprise software as itself, under its principal’s permissions, with no borrowed credential
Procurement
One reviewed catalog, with one genuine app per publisher
Unreviewed tool directories and lookalike connectors
An agent asks for a company’s product and reaches the genuine, governed version from the company that built it
Commerce
The card already on file from iTunes, and a cut of every sale
No agent wallet; spend priced in seats and tokens
An agent pays for work inside a budget its principal set, and vendors price the outcome rather than the seat
Authentication, procurement, and commerce are not yet solved for agents, and until they are, the App Store moment has not arrived. When all three signals show up in the same place, it will have. It is unlikely to look like a single launch. Apple’s took three acts and eight years, from SoundJam in 2000 to the App Store in 2008, and each act borrowed the trust earned by the one before it.
We see this from the inside. We run General Agentic on our own reference implementation of the software supply chain, and every agent on our team works through it. Each one signs in as a named user acting for a principal, reaches only the tools it has been granted, and waits for a person to approve any write that needs consent on their own device. This piece was revised by one of those agents, working from our shared drive under the same controls. That covers authentication and procurement for our own team. Commerce, an agent paying another company for work at a price both sides can trust, is the piece no one has stitched in yet, including us.
The software that agents will reach for already exists. It is the business logic enterprises have run on for years, validated by the people who use it every day. What it lacks is a governed route to its next users.
The lesson is not to build a new store from scratch. Keep the validated core, own the identity, catalog, and checkout around it, and let the trust earned with today’s users carry over to the next ones.
