One gateway sits in front of your models, agents and robots. Every action gets a price, a permission and an owner before it runs. A crew of agents beside the gate learns from every action and keeps lowering the price per unit of work — without your engineers touching a thing. Priced like observability: a small fee on the spend we govern. Nothing else.
Built by AWS · Meta · Microsoft · Walmart alumni — we've operated systems bigger than the companies we sell to.
Flip the switch · directional ◌ — replaced by your own ledger from month one
of companies with agent projects never get them into real use » IDC / Lenovo
annual growth in customer AI bills — tokens ×24 by 2030 » Goldman Sachs
Uber's per-employee monthly cap after burning its AI budget by April » Forbes — caps punish the best users
of frontier models fall to adaptive attacks — asking the AI nicely to behave is not a control » ICLR 2025 via Microsoft
Uber rolled agentic coding tools out to ~5,000 engineers and burned its entire 2026 AI budget by April » Forbes. The patch was a $1,500/month cap per employee, per tool » TechCrunch — even as the COO conceded the productivity link "is not there yet" » Fortune. The fix was never a smaller bill. It was a lower price per unit of work, an owner on every dollar, and a number for what the work produced.
"Every AI vendor is paid when you use more. We are paid a small fee on the spend we govern — and we keep that seat only while the price of each unit of work keeps falling and nothing bad happens. Your bill can double. The price per action still has to fall."
who · what · price · allowed · owner · result · signed by a named human every month
Think of a toll booth and a permission desk on the same line. Your AI traffic flows through unchanged. The gate prices every call, routes it where quality allows, checks every action against your rules, and writes one line per action that a named person signs every month. The decision in the request path is deterministic code, under a millisecond ◌. The learning happens beside the gate, never inside it.
Claude Code · Cursor · Copilot · API keys · OpenAI Agents · LangGraph · CrewAI · n8n · Agentforce · MCP tools · ROS 2 fleets
OpenAI · Anthropic · Google · Bedrock · Azure · internal APIs · payments · files · robot motors
Read-only in a day ◌ · enforcement switched on team by team, never forced · rules live in code, never in prompts · no prompt retention by default
Static routing rules go stale in a month — new models ship, prices move, your workloads shift. So the gate never learns; the crew does. Five specialised agents read the ledger, propose better rules, test them in shadow on real traffic, and promote only what wins on both price and quality. Humans approve the change. Code enforces it. Nothing improves itself in the request path.
Your cost meter counts tokens. Your registry names agents. Your security tool raises alerts. None of them do any of the following:
Everything below is a thing you can open, forward or sign. Nothing is a dashboard you have to interpret.
Datadog charges on the data it watches. So do we — the more AI spend flows through the gate, the more we are worth and the more we charge. That is the whole model. You watch the price per unit of work fall on your own ledger, month over month, reconciled to the invoice. If you stop seeing it, you stop paying. That is the only guarantee that never needs an argument.
Tiered on the AI spend flowing through the gate, like an observability bill. Floor $60K/yr ◌. Includes rulebook 1, the crew, the ledger, the X-Ray, the weekly change-log and the monthly close.
Rulebooks 2 and 3: authorization, ownership, holds and dry-runs, containment, evidence packs, autonomy scoring. Switched on inside the same contract — no new procurement. Regulated verticals: policy packs at $150–400K/yr ◌.
| Governed AI spend / yr | Platform fee ◌ | Fee as a share of spend ◌ | What the crew typically reaches by month 6 ◌ |
|---|---|---|---|
| Under $1M | $60K floor | 6–24%, floor-driven | price per action −30–45% on governed workflows |
| $1M – $5M | 5% of spend | 5% | price per action −35–50% |
| $5M – $20M | 4% of spend | 4% | price per action −35–55% |
| Over $20M | 3%, negotiated | 3% | price per action −40–55% |
We could. Plenty of vendors do. But a counterfactual is a claim about a world that no longer exists — model prices drop, new models ship, your workloads change every month — and every renewal becomes a debate about the baseline. So the fee is tied to something both of us can read off the invoice: the spend we govern. The proof of value is your own ledger, not our formula.
Route API keys or a gateway URL through VibeSea in read-only mode. Every call still goes to its provider exactly as before. Nothing is blocked, nothing is routed.
Every key, model, app, agent and shadow AI, with its cost and owner — plus today's price per action on each workflow, so month one has a starting line. The report is the sale.
You pick one team. The crew's first routes go live behind the quality bar; a budget holds or blocks in the request path. Opt-in per team — never estate-wide.
Spend by owner, reconciled to the invoice; price per action on the governed team, week 1 vs week 12. The first weekly change-logs. The first killed loop and the first blocked action, on record.
Price per action down ≥ 25% on the governed team, or first team on enforcement → annual. Then rulebooks 2 + 3 switch on for the CISO without a new procurement.
The day-90 bar, in the contract. The price per unit of work on the governed team must fall at least 25% from the week-1 X-Ray, or the first team must be on enforcement → annual contract and a named case study. Below the bar — we publish that too, and the platform fee for the pilot period is waived. Every pilot agreement names a kill rule and a client-side owner.
| What you may already run | What it answers | What it does not write on the action | How VibeSea treats it |
|---|---|---|---|
| Cost meters & routersLiteLLM · Portkey · Amnic · Helicone | What did it cost, per call | Static routes with no quality gate · no enforcement in the request path · no invoice reconciliation · no owner · no price-per-unit-of-work trend | Keep it — we read its keys and traces as inputs, and add the crew, the quality gate, ownership and the permission rule |
| Identity & registriesMicrosoft Agent 365 · AWS AgentCore · Oasis | Who is this agent | No price · no cross-provider authorization · no signed monthly close · governs only its own platform | Keep it — we read the registry as an input; we govern everything else on one rulebook |
| Runtime agent securityZenity · Neo · Onyx · Hush | Is it safe (detect, block) | Never sees the price · no owner · Fortune-500 sales motions that rarely reach the 2,000-person company | Keep it if you have it — its alerts become a policy input on our record |
| Browser · data · detectionIsland · Cyera · HiddenLayer · Lakera · Microsoft AGT | Can it be tricked | Verdicts, not authorization · nothing about cost or ownership | Plugged in and cited — we never claim detection parity |
| Platform-native cost viewsAzure · Bedrock · Vertex | Quotas on one platform | Single platform · no cross-provider record · no owner or outcome | Fine for one platform — we are for the estate that runs two or more |
| GRC & policy formsCredo · OneTrust · watsonx.gov | What the policy says | A form, not an enforced record · no runtime feed | The evidence pack falls out of our log — the form fills itself |
| VibeSea — one gateway, three rulebooks, one crew | Price · route · quality · allowed · safe · owner — before the action runs | Writes all of it on every action, any provider — improves weekly, signed monthly | Read-only in a day · priced on the spend we govern, nothing else |
Simulated traffic through the VibeSea gateway. Flip the gateway off to watch the same models and agents act unchecked on the frontier model — flip it back on to watch routes clear the quality bar, bad actions get blocked, risky ones held for a human, loops killed, and the average price per action drop.
Simulated traffic for illustration · your ledger runs on your live actions and your provider invoice · every row carries a rule, a decision, a price and a named owner
$3.0M today, growing 45% » Goldman Sachs. Today every call runs at list on the frontier model; twelve agent projects finished testing and security blocked all twelve ◌.
◌ platform 5% of $4.35M governed ($217K) + governance $60K. About 6% of the AI bill — the same order as their observability spend. No savings share, no per-seat fee.
Price per unit of work on governed workflows, month 6 vs the week-1 X-Ray. Same growth in usage, far more work per dollar — the twelve projects ship, and a named owner signs every close.
Figure, Agility, Unitree and mobile robots each govern only themselves. A humanoid was hijacked in about a minute; a wormable exploit hit a commercial fleet » IEEE Spectrum. The Fleet Governor applies the same gate — price · permission · owner · record — to every unit, before the motor moves.
Register each unit and its software version; set a movement and task envelope; check every command — from a model or a remote operator — against it before it executes.
Every command, decision and cost in a replayable record; a cross-fleet kill switch, one call. Closed monthly against the ISO robot-safety standards — the safety case writes itself from the log.
Prototype funded by a defence SBIR on a university self-driving-lab testbed — 20 robots, 90 days, zero envelope breaches ◌ — then $50–150 per robot per month ◌, the same volume-mapped logic as the gateway.
We onboard one company at a time. Seats are held 7 days pending the X-Ray scoping call. Five conversations are in progress ◌ — nothing here reads "signed" unless it is.
No credit card. No commitment until the pilot agreement. The week-one X-Ray of your AI estate is yours to keep either way — 30 minutes with a founder to scope it.
The founders see this the moment it arrives. A confirmation lands in your inbox with the scoping-call link — your seat is held for 7 days.