Agents with nothingto exfiltrate to.
The objection to enterprise agentic AI in 2026 is not capability, it is blast radius. The most effective answer available today is also the simplest: run the model on hardware you own, so there is no transfer to govern, no third party in the path, and no per-token bill.
Every competitor sells you an orchestration layer. You still have to trust it.
PwC, EY, Salesforce and the rest are building coordination planes for agents that run in someone else's cloud, reaching into your systems with credentials you issued. The controls are contractual and the audit trail is theirs.
MeghaOS puts the agent on hardware you own, running a model you chose. There is no third party in the path to attest to, because there is no third party in the path.
- Orchestration platforms
- Contract, DPA, and vendor attestation
- MeghaOS
- Your hardware, your model, no third party in the path
The economic & security case for local AI.
Why running agentic AI on your own hardware delivers higher security assurance, zero data liability, and predictable costs compared to cloud orchestration.
Zero Data Liability
Proprietary IP, code, and customer records never cross the network boundary to third-party model providers, satisfying Zero Trust and HIPAA requirements by default.
Predictable TCO
Eliminate compounding per-seat SaaS subscriptions and variable token billing. Work runs on the laptops and workstations you have already bought.
Unblock Enterprise Pilots
Overcome the compliance hurdles that stall 89% of agentic pilots. When the data never leaves the machine, most of the review is about what the agent may do rather than where the data went.
Fleet Operational Safety
Configuration lives in plain files you can version-control and deploy. Every machine on a version is identical, so a problem reproduces instead of being unique to one desk.
Policy propagates. Failures roll back.
A policy change is a configuration deploy, and a bad one reverts atomically per machine rather than stranding a subset of the fleet.
Fleet at v0.1.9
- v0.1.9
- staged
- v0.1.10
- rolled back
The console is composed too.
There is no separate admin product to learn. You ask the same way everybody else does, and the answer is assembled for the question, drawn here by the desktop's own renderer, with an invented fleet.
How is the fleet doing?
Where the estate stands
Three to look at
What you get to control.
Fleet deployment
The full OS installs from one image, so a fleet is a set of identical machines rather than a set of individually drifted ones. What you tested is what they are running.
Policy as configuration
Model choice, connected servers and workspace settings live in plain configuration files you can version-control, review and deploy like any other infrastructure.
Attributable audit trail
Agent work is traceable as it happens: the plan, each step, and the tools it reached for. SIEM export is in design with early enterprise partners.
Air-gapped installation
The full OS installs and runs with no network at all. For classified, clinical and financial environments this is not a hardening step; it is the requirement.
Visible agent plans
Agents break work into a checklist and stream it as they go, so a long job is legible while it runs and stoppable if it is going wrong.
Reversible agent work
The workspace is checkpointed before each turn, so an agent change you did not want is undone rather than investigated.
The four things your security team will say.
Taken at face value, because each of them is reasonable.
“Agents are a breach waiting to happen.”
Usually true, because the agent is somewhere else with credentials to your systems. Move it onto the machine and the premise changes: the prompts have nowhere to go, so the largest exfiltration path is not open. Every agent action on the workspace is checkpointed and reversible. Kernel-enforced confinement is in development for the Linux editions.
“We cannot let customer data reach a model provider.”
Then do not. Configure the fleet for local inference and there is no provider in the path, no DPA to negotiate, and no cross-border transfer to document under Article 10. That is a deployment setting you control, not something you have to trust us about.
“Our pilots never reach production.”
The usual blocker is risk control rather than capability: roughly 11% of agentic use cases have reached production despite near-universal piloting. Removing the data-transfer question entirely moves that conversation from "where does this go" to "what should it be allowed to do", which is a far shorter review.
“What happens when it goes wrong on 400 machines?”
The system installs as one versioned image, so every machine on a given version is the same machine. Rolling a fleet forward or back is a question about images rather than an archaeology exercise across drifted installs.
We are early, and you should know that before the procurement conversation.
MeghaOS is at v0.1.10. We hold no SOC 2 or ISO 27001 certification and we are not going to imply otherwise. What we do have is an architecture where the security properties are structural rather than procedural, which is the part that is hard to retrofit later.
If you are evaluating this for a regulated environment, the useful next step is a conversation about your specific controls, not a trial download.
Tell us what yoursecurity review needs.
Design partner conversations are open for regulated environments: government, healthcare, and financial services.