Connects to the systems you already run
GitHub
Slack
Stripe
HubSpot
Salesforce
Jira
Linear
Snowflake
Mixpanel
QuickBooks
PostgreSQL
EthereumGitHubSlackStripeHubSpotSalesforceJiraLinearSnowflakeMixpanelQuickBooksPostgreSQLEthereumNervos connects to every system in your company, builds one live state of the business, and runs specialist AI agents that decide and execute inside policy boundaries you define. Humans supervise the exceptions — not the routine.
Every decision logged · reversible · stoppable
GitHubSlackStripeHubSpotSalesforceJiraLinearSnowflakeMixpanelQuickBooksPostgreSQLEthereumGitHubSlackStripeHubSpotSalesforceJiraLinearSnowflakeMixpanelQuickBooksPostgreSQLEthereumMost attempts at an “autonomous company” start with a bot that pretends to manage — and end in expensive hallucinations. Nervos is built in the opposite order: sensors and live state first, scored recommendations second, and only then autonomy — graduated, logged, reversible.
Nervos connects to your code, finance, CRM, analytics and on-chain activity, and compiles a single source of truth that updates in real time.
A deterministic policy engine defines what is allowed, what needs approval, and what is blocked. No language model can override it. Ever.
Every action — by agent or human — is logged: what was recommended, who approved, what executed, what happened.
Going autonomous isn't a switch — it's an evidence-based process. Each phase earns the trust of the next.
Plug in your systems — code, finance, CRM, analytics, on-chain. Nervos compiles a live company state within days.
Agents recommend on every decision, execute nothing. Every call is scored against what your team actually did.
Reversible, low-cost decisions graduate to autonomous execution inside policy bounds. Everything else is one approval away.
Each week of evidence raises the autonomy ceiling. Target: 95% of decision volume runs itself.
Every action maps to an autonomy tier, enforced by the policy engine — not the model — so the boundaries hold even when the model is wrong.
Reversible, low-cost decisions: backlog triage, A/B tests, capped campaign spend, PR review queues.
Pricing within bounds, resource allocation, payment drafts. Humans can halt any action within 24 hours.
Hiring, material contracts, on-chain settlement, strategy. The agent analyzes and presents — a human decides.
This isn't a product video. It's the actual system: a live company state, active agents, a real policy engine, and a ledger written in real time.
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In 30 days you can connect your first department, run the agents in shadow mode, and see — on the ledger — where AI already beats gut feeling.