Agents now act on their own
They send messages, change records, and spend money. An agent that can act needs someone who can stop it.
For teams already running AI agents
The governance and orchestration layer for every AI agent your company runs.
Nerveom sits between your people and every agent they use, so it can route the work, catch overspending before it happens, and stop any agent instantly. It works no matter who built the agent.
- Any vendor's agents
- Spend capped mid-job, before it goes over budget
- Stop any agent instantly
- A record nobody can quietly edit
Why now
Agents stopped answering and started acting
Lawmakers want an off switch
In September 2026, bills in both the US Senate and House proposed requiring human-controlled shutdown for advanced AI systems.
S.5417 and its House companion, AI Emergency Button ActRegulators want records
The EU AI Act requires human oversight and automatic record-keeping for high-risk AI systems. "We think it was fine" won't pass.
EU AI Act, Articles 12 and 14It already happened
This summer, agents broke out of a sandbox, coordinated with each other without anyone's permission, and sent one person's data to another. Real incidents, publicly documented.
See what happened, and what closes the gaps →The problem
This is what happens without a control layer
Nobody sees the whole fleet
Every team adopted its own agent: through IT, through a vendor, through someone just signing up. There's no single list of what's actually running, so nobody can say what it's all doing.
Spend shows up after it's spent
A budget checked only when a job starts is a budget built on a guess. By the time a job finishes over estimate, there's nothing left to do but read the invoice.
No one can stop it fast, or say who's supposed to
When an agent goes off script, stopping it usually means finding the right console and paging an engineer. Half the time, there's no single person accountable for that agent either.
How it works
From "who knows" to "here's the record"
Connect
Point Nerveom at the agents you already run, from any vendor. Nothing to rebuild, nothing to migrate.
See
Every agent shows up in one inventory: what it's doing and what it's costing, in real time.
Set the rules
Put a ceiling on spend and decide what each agent is allowed to do. Enforced live, not reviewed after the fact.
Act
When something looks wrong, stop it immediately from the same screen, one agent or every agent you run.
Prove it
Every decision and every action is on the record, ready the moment someone asks.
Orchestration
It doesn't just watch the work. It runs it.
Multi-agent jobs, coordinated and kept safe, not just observed after the fact.
One job, several agents, run as one
A request that needs more than one agent runs as a single coordinated plan. Steps that can happen at once run in parallel, and a pending approval on any one of them holds the whole stage until it's cleared.
Hand-offs stay inside the lines you set
One agent can pass a follow-up to another, or a job can branch down a different path based on what an earlier step found, always inside limits you define, never wherever an agent decides to go.
Split it, solve it in parallel, bring it back
A complex question can be broken into pieces, worked by different agents at the same time, and recombined into one answer, instead of one agent working through it alone, step by step.
Cross-checks that only speak up when it matters
The same recurring question can run through several agents on a schedule. You hear about it when the agents genuinely disagree, not on every run that came back fine.
A failed step won't repeat a real action twice
Retries happen automatically, but never by repeating something that already had a real-world effect, like a charge or a message that has already gone out.
An agent that keeps failing gets pulled automatically
An agent that starts failing repeatedly is automatically taken out of rotation for a cooldown period, before anyone has to notice and step in.
One governed path to every model
Requests can move between the major model providers through the same governed path, matching simple requests to a cheaper tier and hard ones to a stronger one, automatically.
Works in both directions with outside orchestrators
Nerveom can call out to agents beyond your company, and take on work handed to it by another company's orchestrator, both under the same rules every internal request already runs under.
Inside 
One screen. Every agent.
A single, calm view of what's running, what it costs, and what's waiting on you.
Only in
Six things you won't find anywhere else
Every agent platform will show you a dashboard. These are the parts that are hard to build. We're building them first.
Undo just what the failed job did
When a multi-step job fails partway, Nerveom reverses only what that job already did. No half-finished state, nothing cleaned up by hand.
ElsewhereNo published rollback. Someone retraces it manually.
Routing that learns from your team
Requests go to the agent that actually performs best for you, based on your own real results. Every improvement is tested before it goes live.
ElsewhereRouting by written descriptions someone has to keep current.
A spending cap checked step by step
A ceiling is checked at every step while the work runs. A job about to go over stops before it does, not after the invoice lands.
ElsewhereUsage reported after the fact.
One timeline, from request to rule
Why that agent was chosen, what it did, and which rule allowed it, all in one ordered view you can hand to anyone who asks.
ElsewhereTraces in one tool, logs in another, policy somewhere else.
Changes tested on your own cases
Before a routing change reaches a single user, it's scored against test cases your team defines. If it's worse, it doesn't ship.
ElsewhereEvaluation is a separate product, if it exists at all.
A head start from the network
Opt in, and a new team starts from what has already worked across the network, plus a view of your costs against peers. Only trained patterns and anonymised cost figures are shared. Never your queries, never your data. Off unless you turn it on.
ElsewhereEvery customer starts from zero.
Compared against the major agent platforms we benchmark most closely, based on their public documentation as of September 2026.
Everything else you'll need
See it. Control it. Prove it.
See
- One inventory, every vendor. Including the agents teams signed up for on their own.
- Blast radius. Everything one agent can reach, including what it hands work to and what it can access.
- A trust score per agent. Built from drift, missed service levels, and unusual output.
- Cost by person, team, and agent. Live, not month-end.
Control
- Suspend one agent or all of them. Instantly. Restarting is always a separate decision.
- Approvals, before or after. Gate a step until a person signs off, or let it run and roll it back if they reject it.
- Goal-drift checks. Is this agent still doing the job it was asked to do?
- Tripwire credentials. If a planted credential is ever used, the agent is shut down on the spot.
Prove
- A record nobody can quietly edit. Every action, kept as it happened.
- Named owners, re-confirmed. Every agent has an owner and a backup, and owners re-confirm on a schedule.
- A behaviour-level risk register. Tracks what each agent actually does, not just its paperwork.
- A vetted marketplace. Outside agents carry a real track record, and people settle disputes.
Use cases
The moments Nerveom is being built for
What happens
A research agent loops on a big job overnight. Spend climbs by the minute.
With
The ceiling is checked at every step. The job stops before it goes over, finished work is kept, and the owner sees exactly why in the morning.
What happens
Compliance needs to know why an agent approved a refund last quarter.
With
Open one timeline: the request, the agent chosen and why, the rule that allowed it, and what it did. The record can't have been edited since.
What happens
A six-step onboarding job has already created accounts and reserved licences when step four fails.
With
Nerveom reverses exactly what that job already did. No orphaned accounts, no licences left hanging, no one retracing it by hand.
What happens
The person who set up a customer-facing agent left last month. The agent is still running.
With
It was already flagged. The named backup takes over, and owners re-confirm their agents on a schedule, so nothing runs unowned for long.
What happens
A key tied to one agent turns up somewhere it shouldn't.
With
Every credential ships with a decoy planted alongside it. If the decoy is ever used, that's proof the leak is real: the agent is shut down instantly, no human needed. Everything it could reach is already mapped.
What happens
An agent has just denied someone's application. Nobody can say whether it would have decided differently for an applicant with a different name or background.
With
That decision can be quietly re-checked with only a protected detail changed, before it ever reaches the applicant. If the outcome would have flipped, that's flagged, not buried.
What happens
An agent's own reasoning shows it flagged a concern about a step, then carried on and did it anyway.
With
That gets caught, because what an agent tells itself is checked, not just what it hands back. A step that admits doubt doesn't get a free pass.
What happens
An agent quietly hands work to four others, each from a different vendor, each with its own access. Nobody mapped what that whole chain can actually reach.
With
Open that one agent and see everything downstream: what it delegates to and what it's credentialed for, across every vendor involved, not just the one you started with.
What happens
Leadership wants a straight answer on AI risk exposure, not a spreadsheet nine different teams only half filled in.
With
One risk register, built from what agents actually did, not self-reported paperwork. A plan with one destructive step in it is never called low-risk just because the other nine steps were safe.
What happens
The same recurring question gets asked of several agents, and this week they don't agree. Nobody's watching closely enough to notice a quiet drift before it becomes a wrong answer someone acts on.
With
That check runs on a schedule automatically, across every agent asked. A person only hears about it when the answers genuinely disagree, not on every run that came back fine.
Why neutral wins
Why not just use your vendor's own governance tools?
Every major AI platform now offers to govern your agents too, as long as they're that platform's agents. That's a fair deal if your whole company runs on one vendor. It stops working the moment you don't. A platform that sells agents has a real reason to make its own look good and steer your traffic toward them. That's not an accusation. It's just the incentive. Nerveom doesn't sell agents, and never will. That's why it can govern agents from different vendors, a marketplace agent, and something your own team built, under the same rules, with nothing riding on which one wins.
How it compares
Nerveom next to the alternatives
Not a feature checklist. What actually happens when something goes wrong.
| Capability | Your platform vendor's tools | A generic AI monitoring tool |  |
|---|---|---|---|
| Works across every agent vendor | Only that vendor's own agents | Usually watches, rarely governs | Any vendor, one set of rules |
| Cost control | Reported after usage | A dashboard, not a limit | Capped live, mid-job, before it goes over budget |
| Stopping a misbehaving agent | Limited to that one platform | Alerts you, but you still act manually | Instant suspend, one agent or all |
| A job fails halfway | Clean-up is manual | You find out, then fix it by hand | Only that job's completed work is reversed |
| Coordinating several agents on one job | Only within that one platform | Not applicable | One coordinated plan across vendors, with rollback and safe retries built in |
| Routing decisions | Fixed descriptions you maintain | Not applicable | Learns from your own usage, tested before it goes live |
| Testing changes before they ship | Separate tooling | After the fact | Scored on your own cases first |
| Accountability | Not tracked | Not tracked | A named owner and backup, re-confirmed on a schedule |
| Audit trail | Siloed inside that platform | Metrics, not decisions | One trail: what happened and why |
"A generic AI monitoring tool" means dashboards and alerting added to agents after the fact, not a governance and orchestration layer built to act.
Who it's for
Built for whoever has to answer for it
Operator
You're the one person who has to know what every agent is doing, what it's costing, and how to stop it. Nerveom gives you one screen that actually knows too, across every vendor, not just the ones IT approved.
Team
Finance asks what agents cost, security asks who can shut one down, compliance asks for a record. Nerveom gives all three the same real answer, broken down by person, team, and agent, not three exports that don't agree.
Company
You're weighing months of internal engineering time against a governance and orchestration layer being built to work across every vendor whose agents you run. Nerveom doesn't sell its own agents, so it has no reason to steer you toward one over another.
Access
Private, for now
We're taking on a limited number of teams while we build alongside them.
Founding access
Limited places
Early terms. A direct line to the team building it.
Talk to usTeam
Talk to us
For teams ready to put every agent under one roof.
Talk to usCompany / acquisition
Private conversation
For companies exploring a partnership or acquisition.
Start a conversationA note to companies, not just users
Nerveom is being built by a small team, not scaled by a large one. If you're evaluating a partnership, an integration, or an acquisition, we're open to the right conversation. One message reaches the person who'll actually answer it.
Start that conversationTalk to us
Tell us where you're coming from
Nerveom is built by Snowzonia, so every enquiry, including those about Nerveom, goes through one form on the Snowzonia site. A person reads every note.
Questions
Everything you'd ask before you commit
Grouped so you can jump to what you actually need.
Product
What is Nerveom, exactly?
A governance and orchestration layer that sits between your people and every AI agent they use (internal, third-party, or self-built), so every agent action is routed, policed, audited, and accountable, no matter which underlying AI tool actually does the work.
We already use our AI platform vendor's own tools. Why do we need this too?
Nerveom doesn't replace what you're already running. It sits over the top of it. If your company is genuinely all-in on one vendor, that vendor's own governance tools are a reasonable place to start. The gap shows up the moment you run agents from more than one vendor: each vendor's governance tool has an obvious reason to favour its own agents. Nerveom doesn't sell agents, so it has nothing to gain from which one wins.
Does the routing actually get smarter, or is "AI-powered" just a label here?
It's real. The system that decides which agent handles a request improves from your own team's actual usage over time. Any improvement is tested against a safe baseline before it ever goes live, so it can get better, but it can't quietly get worse.
Does opting into the network mean sharing our data?
No. The network head start is off by default. If you turn it on, only trained patterns and anonymised cost figures are shared. Never your queries, never your data. You can turn it off again whenever you like.
Can Nerveom actually run a job across several agents, or does it just watch one at a time?
It runs it. A request that needs more than one agent, from more than one vendor if needed, executes as a single coordinated plan, with rollback if a later step fails and safe retries that won't repeat a real action twice. Not a dashboard bolted onto agents running on their own.
Control
Can we actually stop an agent ourselves, or do we have to wait on engineering?
You can suspend one agent, or pause every agent your company runs, immediately, from one place. No console-hunting, no paging an engineer. Turning it back on is always a separate, deliberate decision, so nothing comes back online by accident.
What if an outside agent from the marketplace turns out to be unreliable?
Every outside agent carries a real track record built from how it actually performs for other teams, not just a vendor's own claim. A track record isn't shown at all until there's enough real use behind it to mean something. If there's ever a dispute over whether a paid task actually got done, a person makes the final call. Never the agent that did the work.
Security & data
Can we keep our data in a specific region?
Yes. You can restrict agent work to a set of approved regions, enforced as a hard rule. An agent that doesn't declare where it runs is excluded by default, not let through by default.
Are you SOC 2 certified?
Not yet, and we won't tell you otherwise. The real controls behind it, like single sign-on, role-based access, and an audit trail nothing can quietly edit, are already built in. Formal third-party certification hasn't happened yet. If that's a hard requirement for you, ask us directly.
What happens to our data if we leave?
Your organisation's data is kept separate from every other customer's by design, so it can be removed cleanly without touching anyone else's. We'll always put retention and deletion terms in writing before you sign, not after.
Getting started
How long does it take to get started?
During early access, onboarding is hands-on, not self-serve. We work with you directly to connect your identity provider, set up your teams, and bring your first agents under Nerveom. We'll agree a timeline with you upfront.
Can we run Nerveom in our own environment?
Yes. It can run in your own AWS account or on your own Kubernetes cluster with an AWS KMS key, not only as a hosted service. Support for Azure, Google Cloud, and HashiCorp Vault key services is planned. Every customer's environment is kept isolated by design, so a configuration mistake can't mix one company's data with another's.
How is Nerveom priced?
By what your agents actually cost to run, not by seats or headcount. There's no fixed public tier yet. Founding access teams work out early terms directly with us.