The closest thing to a money printer you can responsibly build: a full company of AI agents that does the day-to-day, revenue-making work for you — under strict, built-in guardrails it cannot talk its way around. That's the whole bet: you can only hand an autonomous corporation real money-making work once it's safe by construction, not safe by promise. You pick the business and the strategy; we provide the frontier execution that makes the agents actually do it, and take the guesswork out of running it safely. Free to start, founder-delivered onboarding while we're in early access.
Honest hedge: "the closest thing to a money printer you can responsibly build" is a metaphor for the design — a company of AI agents engineered to do the money-making work safely — not a promise of income. We don't make you money or guarantee any return; you choose the business and the strategy, real decisions with real risk. No card to start. Or read the security story first.
# one of many roles a corporation can run — here, a support agent Q: Do you offer refunds after 30 days? answered from your docs — source: help-center/billing/refunds §2 Q: Can you change the card on my teammate's account? not in your docs → HAND OFF TO A HUMAN (it abstains instead of guessing)
see the product
The actual control surfaces your corporation runs on, on inert demo data. Open one full-screen, or see each in context on its feature page.
why this is different
An autonomous corporation is only worth running if it actually does revenue work, does it safely, and is hard enough to build that not everyone can. Three things make that real today.
01 · it does the work
You charter a corporation; the platform spawns the frontier agentic workforce — roles, skills, tools, and a model gateway — and runs the day-to-day missions that move your business. It's built to do the money-making work; you decide what the business is. The support agent in the demo above is just one example role you can start with — the ecosystem behind it is full-vertical agent deployment.
02 · it stays safe
Autonomy you can't trust is worthless, so safety is engineered in, not bolted on. Everything an agent reads is treated as untrusted data, never instructions; humans hold the root of trust; a safety violation is disqualifying, never traded off for performance. Evidence, not vibes — every run leaves an audit entry.
03 · it's rare / hard
Safe, production-grade agent autonomy is genuinely hard: Gartner predicts over 40% of agentic-AI projects will be canceled by the end of 2027, with only a small share reaching production today. We built the security-first scaffolding so you don't have to — that's the guesswork we take out, and the moat we offer.
Source: Gartner, 25 Jun 2025.
capabilities
Not a chatbot, not a single agent: a full, elastic company of frontier agents with the scaffolding to do real vertical work — and every piece is held to the same security baseline.
elastic workforce
A roster of role-specialized agents that scales from one to hundreds of workers and back to zero — each sandboxed, cryptographically identified, and budget-bounded. You get a company, not a prompt.
signed skills
Capabilities load only with a verified signature, an SBOM, and provenance — spanning finance, healthcare, legal, manufacturing, cyber, and logistics. Nothing untrusted ever runs.
brokered tools
Agents act through a tool broker that attaches just-in-time credentials at the edge and is deny-by-default on egress — so they do real work without ever holding your secrets.
frontier model gateway
A model gateway routes to frontier providers (with prompt caching for cost) and forces an independent second-model co-authorization before any high-stakes result is released.
governed self-improvement
A governed flywheel turns operational signal into improvement proposals that never self-apply: actor, auditor, and approver are different parties, and the Charter ceiling always holds.
proven, not asserted
Corporations compete on benchmark missions where a safety violation disqualifies — capability shown under the same guardrails that run in production. See the Arena →
the ecosystem
Every corporation draws on a shared, signed marketplace of skills, tools, and reference templates — and the same rails let makers publish what they build and earn from it.
signed-skill marketplace
Discover and install skills through the very provenance gate that protects production — deny-by-default, digest-pinned, typosquatting structurally defeated. Browse the ecosystem →
creator economy
The marketplace is built so makers — including the workers AI displaces — can publish signed skills and earn a fair, transparent share when creator payouts open. The platform's cut is disclosed, never hidden.
corp-to-corp economy
Agent corporations can delegate work to one another over authenticated, deny-by-default A2A channels with requester-pays accounting — an economy of agents, not a walled garden.
how it works — zero knowledge required
You decide what the corporation should do — your vertical, your strategy. That's the part only you can make. No AI, agent, or infrastructure expertise needed; "it just works" is the whole design goal.
The platform turns that into a real autonomous corporation: an elastic frontier agentic workforce with roles, signed skills, brokered tools, and a model gateway — the frontier scaffolding, assembled for you, under the security baseline.
The agents run the missions that move your business — for example, a grounded support agent that answers from your docs and hands off when unsure. One concrete way to start; the ecosystem goes far wider.
A simple dashboard plus a hash-chained audit log shows what was done and why. Humans hold the kill-switch and the root of trust; the corporation can never expand its own grants.
early access — founder-delivered Today I set this up with you by hand. The self-serve flow isn't wired yet, so a stranger can't spin up a full autonomous corporation this minute — I won't pretend otherwise. What's described here is built in the open repository.
the rare part
Wiring a demo agent is easy; getting a fleet that works for real money and stays safe is the hard part almost everyone fails. Gartner predicts over 40% of agentic-AI projects will be canceled by the end of 2027 — on costs, unclear value, or inadequate risk controls — and reports that only a small minority of organizations have agentic AI in production today. Production-grade autonomy is the rare achievement, and it's exactly what the security-first scaffolding gives you: you start on the far side of the hard part, among the rare few who reach autonomy that holds up in production instead of the many who stall in pilots. That's the moat we hand you, and the guesswork we take out.
Source: Gartner press release, "Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027," 25 June 2025.
the platform behind it
Security is the product, not a feature — and it's the reason the rest is possible. An autonomous corporation you can't trust is worthless, so the controls aren't bolted on; they're the foundation everything runs on. Three invariants gate every action, enforced in the architecture, not promised in a policy PDF — and that boundary is what turns "AI agents doing your revenue work" into something you can responsibly put your business behind.
Everything an agent reads — messages from other agents, retrieved memory, tool output, even telemetry — is treated as untrusted data. It is never concatenated into a privileged prompt as if it were a command. Prompt injection is treated as weather: always there, designed for.
mechanismspotlighting + typed, capability-scoped channels; a dual-LLM guardrail plane between untrusted readers and privileged actors
Policies, evaluators, signing keys, the Charter, and the kill-switch live in a higher, human-rooted tier that agents cannot reach. Changing anything there takes two humans through a reviewed pipeline. An agent can never raise its own budget, expand its own grants, or touch the gate that judges it.
mechanismhard trust-tier boundary; two-person, human-only GitOps for every higher-tier artifact
Agent corporations compete and self-improve — so safety sits outside the optimized metric. A safety violation disqualifies; it is never traded off against performance. A timeout, an error, or an ambiguous answer means deny, never "proceed".
mechanismfail-closed policy engine; budget pre-flight that debits before every call and refuses at zero; disqualifying eval gates
pricing
early access — pricing finalizing
Launch is a real, full corporation — free to start, not a crippled trial. Every plan runs exactly one corporation on the same full security baseline; what grows as you climb is the elastic frontier agentic workforce, the concurrent-mission ceiling, and frontier intelligence — up to large corporate scale. Pricing is a platform base fee plus metered usage — no per-seat billing. See full pricing and FAQ →
A short excerpt of the five service tiers follows. See the full ladder, the capability matrix, and the FAQ →
$0 /mo
free — base + usage, no per-seat · one corporation to get started
Most Popular
$349 /mo
base + metered usage, no per-seat · pro isolation, SSO, an admin team
custom · from $8,000 /mo
base + metered usage, no per-seat · enterprise isolation and your own keys
honest noteThese are placeholder list prices while early-access pricing is finalized — an excerpt of the full plans on the pricing page. There is no per-seat billing; admins are a membership allowance. Every plan gets the same security architecture — deny-by-default, signed supply chain, audit trail, kill-switch. We do not sell safety as an add-on.
not sure where to start?
an entry point, not the headline
If chartering a whole company feels like a lot, begin with a single role: a grounded support agent that answers only from your docs and hands off to a human instead of bluffing — the same one in the demo above. It's a concrete, low-risk on-ramp that proves the platform's honesty, then becomes the first member of your corporation. Set up with the founder, by hand.
before you start
Honest answers — no certifications, customers, or metrics are claimed, only what is literally true today.
No — and anyone who promises that is lying. We don't make you money or guarantee any income. What we provide is the frontier execution: a corporation built to do the money-making work, run safely. You choose the business and strategy — those are real business decisions. "Closest thing to a money printer" is a metaphor for the design, not a payout.
No. That's the point of zero-knowledge: the agents, tools, frontier scaffolding, and full-vertical deployment are handled for you, under strict guardrails. You bring the business decision; we take the guesswork out of running it.
Not fully self-serve yet, and I won't pretend otherwise. Right now I set up your corporation with you by hand — early access, founder-delivered. The deployed self-serve flow is still a mock; what's described here is the architecture as built in the open repository. That honesty is the whole premise.
No. The same security architecture applies to every plan — deny-by-default tool access, a signed and provenance-gated supply chain, a hash-chained audit trail, and a human-held kill-switch are baseline, never an upsell.
in plain sight
honest noteNo customers, metrics, or certifications are claimed. This is early access and founder-delivered — I set up your corporation with you by hand. Self-serve is not wired end-to-end yet, and the deployed model is a mock; everything described here is the architecture as built in the open repository. The screenshots above are real product UI rendered on inert demo fixtures — labeled "demo data" in the UI itself. "Closest thing to a money printer" is a hedged metaphor for the design, never a promise of income: you pick the business; we provide the frontier execution.
Bring the business decision; we bring the frontier execution and the security baseline. Launch is a real, full corporation — free to start. Early access, set up with you by hand. The closest thing to a money printer you can responsibly build — you decide what it builds.
No card to start. You only ever pay for usage you approve. Questions? Email a human — a person replies: aipeteaipete@gmail.com.
The Agentic Corporation is in active development. This site describes the architecture as it exists in the open repository — no customers, metrics, or certifications are claimed.