Turn client asks into warm introductions.
Set up each client in minutes and see the relevant people from your network right away. Your clients can search your network and request introductions directly, and NetworkOS handles the opt-in emails for every one you make.
Your network, inside every Claude, ChatGPT and Muse conversation.
Ask Claude or ChatGPT who in your network can help with anything. It searches your contacts, ranks them by relevance, explains why, and drafts the intro. Your relationships are now part of every AI conversation, and it works the same in Claude, ChatGPT and Meta Muse.
Advisor query example
Search your network in plain English.
Ask anything. You get ranked, explained matches from your contacts. No separate app, no separate query language.
Take action without leaving the chat.
It drafts double-opt-in intros, sends them via your Gmail, and logs the outcome back to NetworkOS.
Add a note after every meeting.
"Just had coffee with Sarah, add a note: she's looking for a head of growth." Done. It's logged to the right contact.
Your network in the side panel. Save any LinkedIn profile. Find anyone.
Install the NetworkOS Chrome extension and your network shows up everywhere you work. Ask who you know at a company from any tab. Save any LinkedIn profile to your graph in one click. Find anyone, fast.
Your network assistant in the side panel
Open the side panel and ask the same things you would in NetworkOS: who you know at a company, who can make the intro, or to log a note after a call. No tab switching, and it only runs on LinkedIn and NetworkOS pages.
One-click save from LinkedIn
Add any LinkedIn profile to your graph in a single click. Fields auto-enrich. Relationship strength is inferred. No data entry. Run the bulk sync of your connections again a month later and NetworkOS shows you who changed jobs since the last one.
Every ask, answered from your network.
Your relationships live in more than one inbox.
Connect multiple inboxes and NetworkOS builds one searchable graph across all of them, work and personal.
A new client should get value in week one.
Set up their company profile in minutes, see the relevant contacts from your network immediately, and start making introductions right away.
Clients queue their asks through you.
Open your network for your clients to search. They find who they need and request the introduction directly, and you approve it with a click.
The ask is buried in the update email.
NetworkOS reads company update emails, spots the asks inside, and suggests the introductions that answer them.
Your network is larger than your memory.
You know the right person exists. You met them, you liked them, and when the moment comes to help, you cannot get to their name.
This is what we hear from almost everyone we talk to:
“There are so many people in my network I'm just not thinking of who could help me.”
— founder, AI engineering firm
The person you need is already in your network. You met them at a dinner, a conference, a board meeting. Their name is gone, and searching for it takes longer than dropping it.
“It's so hard to think through tens of thousands of contacts.”
— Partner, Am Law 100 firmRelationships you would call real go a year without contact. Not because you stopped caring. Because nothing ever prompts you.
“Why didn't I think to reach out to Chris? That was stupid.”
— Founder, board advisory firmRelationships live across Gmail, Calendar, LinkedIn, phone, text, and WhatsApp. None of it is searchable in one place, and LinkedIn stopped letting you look properly years ago.
People move and nothing tells you. The contact you would vouch for tomorrow left that company months ago, so you find out from a bounced email, or from introducing them as something they no longer are.
You know what the right person looks like. Sitting CEO, sits on several boards, at capacity so she refers rather than takes the seat. There is no way to ask your own network that question.
An introduction is worth most right after the conversation. A week later the moment has passed, and so has half the value.
Two actions. One muscle.
Ask in plain English.
No booleans, no filters, no fields. Type what you're looking for the way you'd say it. The AI translates intent into matches across your entire graph.
Ship double opt-in intros in seconds.
AI drafts the intro from your context, in your own voice. Intros that still sound like you. Both parties confirm in one click, then the email sends itself.
Every person you've ever met, in one place.
Your contacts become a living graph: warmth signals from email cadence, calendar context, and topic clusters. Searchable in plain English, navigable like a map.
Semantic search
"Climate founders raising seed in SF" returns people, not filters. The graph understands intent.
Warmth signals
We track recency, frequency, and reciprocity, so you know who's actually warm, not just a LinkedIn name.
Team search
On a team? Search your teammates' networks too, see who owns the relationship, and request the introduction from them.
Never chase a reply again.
BCC one address. We take over the waiting.
BCC the loop address on any email where you need a reply. It stays invisible to the person you're waiting on. NetworkOS watches the thread, reads what each reply means, and sends pre-approved follow-ups from your own inbox until it resolves. No reminders to set, no nagging to write.
Built by a superconnector.
After YPO Forum and Chapter meetings, our founder often left knowing exactly who should meet. But the introductions stayed in his head, his notes, or his drafts. The double opt-in process took enough work that many introductions never happened. He built NetworkOS for himself.
“Before NetworkOS, I made four or five introductions a month. Now the introductions that used to sit in my notes and drafts actually go out, including ones that led to jobs, customers, and new working relationships.”
Read what we send. And only what you share.
networkos builds your graph from contact, calendar and email header data: who you talk to and when, not what you wrote. It opens full message content only where a feature needs it, and only for mail tied to your work: replies to the intros you send, threads with a company you advise so it can summarize the relationship, and meeting notes you route to it. Replies to your intros are stored so you can read them here. Everything else it opens is used to produce a summary and not kept.
Read the full privacy posture →Your graph is yours.
NetworkOS is not a broker. We never sit between you and your contacts, and we never decide who meets whom. Your relationship graph stays private to you. The AI works for you.