Most organizations have people who can build powerful AI agents. Almost none of them can share that work with the rest of the team. NextAgent closes that gap.
Every organization has technical staff who can build sophisticated AI agents. Most organizations have no way to get those agents in front of anyone else.
The result: AI productivity stays concentrated in the people who were already technical. The gap compounds every quarter.
NextAgent is the delivery layer. Build an agent once. Assign it. Your whole team is using it tomorrow — through a familiar chat interface, without touching a terminal or setting up an API key.
The bottleneck isn't capability — the models are extraordinary. The bottleneck is distribution. Getting purpose-built agents to people who can't build them is the problem this product solves.
Three roles. One platform. Nobody learns a new tool — they use the one that fits their job.
Provisions a machine, invites the team, and controls which agents each person can access.
Uses Claude Code on the org machine to build an agent against real data and systems — the same way they'd build anything else.
Opens a chat tab, picks an agent, and starts talking. No terminal. No API key. No setup of any kind.
Any knowledge-work task that benefits from a consistent, capable AI assistant is a candidate. Here are three categories organizations are deploying today.
Trained on your firm's standard playbook. Marks up incoming agreements, flags non-standard clauses, and drafts redlines in your legal team's voice. Assigned to every associate in ten minutes.
Reads your inbox, identifies what needs attention today, and drafts replies in your writing style. Runs on the org machine — your email never leaves your hardware.
Answers questions from your internal docs, wikis, and runbooks. When it doesn't know something, it says so. Accurate because it only draws from sources you give it.
What we can and cannot see is determined by where the software runs, not by our intentions. Privacy through architecture, not policy.
Agent runs, conversation history, and the data your agents read stay on the machine you provision. Our servers handle routing — nothing else.
One database per organization: user records, roles, and agent assignments. No conversation content. No agent outputs. No files.
Your backup key is generated at provisioning and never transmitted to NextAgent. You recover from your own encrypted backup.
We route to ZDR-compliant providers by default. Prompts are not logged or used for training.
If NextAgent is breached, the attacker gets a list of email addresses. That is all we can lose, by design. Conversation history, agent memory, and the code your agents run all live on your hardware. We route commands. We never see the content.
NextAgent manages inference routing for your organization. We route to zero-data-retention backends by default. Your admin controls which models each team member can reach.
Premium open-weight inference on dedicated infrastructure. Fast, private, zero data retention.
Access to hundreds of models through a single interface. We route through ZDR-only paths.
Customers with a Claude Max subscription can use it directly. Credentials live on your machine — NextAgent never sees them.
Our infrastructure costs scale with organizations, not with users. That means a generous free tier and prices that stay predictable as your team grows.
Everything you need to evaluate NextAgent with your team before committing.
For teams deploying agents across the organization. Designed to stay flat as you add users.
For larger organizations with specific compliance, procurement, or operational requirements.
ChatGPT Enterprise is a chat product — your team talks to OpenAI's general models. NextAgent is a deployment platform — your technical staff build purpose-built agents trained on your systems, data, and processes, then put those agents in front of everyone else.
The data handling is fundamentally different too. ChatGPT Enterprise runs on OpenAI's infrastructure. With NextAgent, agent execution happens on a machine you own. The conversation never reaches our servers.
Your data is on your hardware, not ours. If NextAgent shuts down, your machines keep running. The host-agent daemon that runs on your machine is small, auditable, and documented. We would release the source before any shutdown so organizations could self-host the control plane.
Your agents, your conversation history, and your org backup don't disappear because we do.
The host-agent is a small, auditable daemon that does three things: receives commands from NextAgent over outbound HTTPS, spawns Claude Code in a scoped working directory, and relays streamed output back. It runs as an unprivileged service account and does not have access to credentials outside the provisioned workspace.
The source is available for review. Full technical details →
SOC 2 is in progress. HIPAA applicability depends on what data your agents process — and because that data lives on your hardware rather than ours, the analysis is different from a traditional SaaS product. Organizations often find compliance conversations much simpler than expected once they understand the architecture. Talk to us about your specific situation.
Yes. If a team member has a Claude Max subscription and wants to use it, the credentials live on their machine — NextAgent never touches them. Authentication is handled directly by Claude Code on the local hardware. You keep your subscription; NextAgent just gives it a better interface and lets you share the agents you build through it.