NextOS is the AI operations platform that gives your agents their own logins to the systems you already run, runs locked routines on a schedule, and shows you every action they take.
A full NextOS workflow · Precise Mark Surgery is fictional · every number is invented
The model helps decide what to do. NextOS governs what it's allowed to do.
A routine is a playbook with defined steps and approved systems. It's tested, approved, and frozen, then runs on schedule with no AI re-planning. Change a step and it becomes a new version that has to pass again.
NextOS keeps each website login signed in all day. When a site signs an agent out, NextOS signs it back in, codes included, and records every step. Passwords stay in the workspace vault.
Give each agent its own login to your websites, even ones with no API. Authenticator and emailed codes are handled. When a person is truly needed, NextOS stops and says exactly why.
See every agent's screen live. Take control any time and the agent's browser actions pause. Hand it back and it picks up where you left off. Both moments are recorded.
Audit shows what each agent did and what policy refused, with the rule behind every decision. Rules live outside the prompt, so asking for more never authorizes more.
Sign-ins, held payments, missing records. Each item opens exactly where it's fixed, and leaves the list once it's resolved.
A useful answer isn't a finished business process. Real work crosses applications, accounts, documents, and people. It has rules, exceptions, and consequences when the wrong record changes or an uncertain action is repeated.
NextOS was built for that reality: customer-specific workspaces, specialized agents, connected systems, observable routines, and human oversight.
The goal isn't to make people babysit every click. It's to make the scope of delegation clear, and the moments that need a person visible.
Don't build your operation around one model's personality. NextOS separates the work environment from the reasoning provider.
Each agent gets its own logins and approved systems, and nothing else.
Run the version that was tested. A changed process is a changed process, not a new interpretation inside a model's reply.
People can see the work and step in. Completed, failed, and unresolved work stay separate.
Start with a real workflow, an approved boundary, and measurable acceptance criteria. Grow authority only when the results support it.
Know where your systems run, where information is processed, who can act, and which outside services are involved. A private deployment accounts for the whole path: application, database, browsers, conversations, model inference, integrations, logs, and backups.
The NextOS application and selected state run in an environment you approve.
that every supporting service and model runs there too.
NextOS runs natively on AWS. Its agents use Anthropic's Claude Opus through Amazon Bedrock, reached over AWS private endpoints, with no third-party agent runtime in the path.
on-premises inference. Bedrock is an AWS-managed service, reached privately.
Need fully local or on-premises? Tell us your requirements. We qualify the complete configuration against your security and operational needs before promising locality, isolation, or residency.
Discuss private cloud and on-premises →| Buyer question | A foundation model alone | Hosted agent products | NextOS |
|---|---|---|---|
| Can it reason and write? | Its core strength | Yes, through the models they choose | Uses the model intelligence you configure |
| Can it do tasks with tools? | Needs an application around it | Yes, often with real controls | Browser and tool work under configured policy |
| Can it run inside our perimeter? | Depends on availability and license | Often vendor-hosted | Native on AWS today, with other customer-controlled architectures qualified per deployment |
| Can we choose the model? | Chosen in the integration | Often vendor-managed | Explicit provider and endpoint configuration |
| Can we watch and inspect the work? | Not from model weights alone | Varies by product | Watchable execution and a recorded action history |
| Can routine work run a tested version? | Needs an executor | Varies by product | Qualified frozen routines, without the model re-planning |
Enterprise security isn't unique to us. Good model providers and agent products offer real protections. What NextOS adds is operational workflows combined with your choice of deployment and authority.
Clinical, financial, and other consequential decisions stay with authorized people and explicitly qualified rules.
No. NextOS is the operational layer around AI agents, connected systems, and governed workflows. Today its agents use Claude Opus through Amazon Bedrock, and the platform keeps the reasoning provider separate from the work environment.
Not by itself. That depends on the complete configuration, including inference, conversation storage, integrations, and telemetry. A no-egress claim needs a validated no-egress architecture, and we'll tell you exactly what yours does.
Yes. NextOS runs Anthropic's Claude Opus through Amazon Bedrock, reached over AWS private endpoints. That's private cloud access inside AWS, not fully local inference on your own hardware.
No. It works with your approved existing systems. Integration and workflow qualification determine what can be automated.
Qualified routines can run within their defined authority. Consequential actions, sign-in challenges, and exceptions get explicit handling, and unattended operation is proven workflow by workflow.
No. Compliance depends on your deployment, agreements, controls, operating practices, and the data involved. A platform capability isn't a certification.