How to find a warm introduction into any target account through your whole company’s network, not only your own, in 14 minutes.
Tracking your business relationships in a meaningful way is hard. The information is spread across LinkedIn, your CRM, your inbox, and what your colleagues happen to remember, and none of those systems shows you who actually knows whom. What if you could map your professional relationships using verified, observed collaboration, like shared work history or co-authored research, rather than static, self-reported connections?
Welcome to One Amazing Thing About Vieu. Today I’m talking with Samir Manjure, Founder and CEO of Vieu, about the Vieu Graph and how it turns your entire company’s network into warm introductions to the people you’re trying to reach.
Watch the Demo
What you’ll see in this demo
Vieu is a relationship intelligence platform built on the Vieu Graph, a business graph that maps roughly one billion people and the observed relationships between them: shared employers, co-authored publications, joint podcast appearances, board seats, investments, and public interactions. In this episode, Samir Manjure, Founder and CEO of Vieu, looks up a person in the graph, shows how each fact on the profile links back to its public source, and surfaces every connection path to that person across his whole company’s network, including employees, investors, and advisors. He then uses Vieu’s connector agent to find VP- and C-level paths into a target account and generates a drafted warm introduction in one click. It’s most useful for enterprise sales, marketing, partnerships, and executive recruiting teams who need a trusted path to senior buyers that cold outreach doesn’t reach.
Key Takeaways
- Social and professional networks connect people to people, but they don’t show which relationships are strong enough to open a business conversation.
- The Vieu Graph records observed relationships, such as shared work history, co-authored publications, joint podcast appearances, investments, and board service, instead of self-reported connection lists.
- Vieu says its graph contains about 4 billion nodes and 14 billion relationships covering roughly 1 billion people, and each relationship carries a weight based on the evidence behind it.
- Every fact on a Vieu profile links back to the publicly available source it came from, and Vieu says it does not collect data from behind login walls.
- Vieu maps connection paths through a company’s entire network, including employees, investors, and advisors, which reaches far more people than any one seller’s LinkedIn connections.
- Vieu’s connector agent uses the seller’s buyer persona to find relevant people at a target account, and results can be filtered to VP- and C-level contacts.
- Once a connection path is chosen, Vieu drafts the warm introduction request automatically.
- CRM relationship data goes stale as people change jobs, and manually logging relationship notes is work salespeople avoid, so an externally observed graph fills a gap CRM entry can’t.
- The Vieu Graph is queryable by AI agents through an MCP interface, which supports queries such as finding golf-playing directors who use a given technology within 50 miles of an event venue.
- Beyond sales, the same graph supports marketing event targeting, partnerships, and executive recruiting through trusted referrals.
About Vieu
Vieu is a relationship intelligence platform that maps business relationships across people, companies, and technologies in a single graph and makes that graph available to sales, marketing, and partnership teams and to AI agents via MCP. The company was founded in 2022 in Bellevue, Washington, by Samir Manjure and Simon Skaria, and raised an $11 million seed round led by Trilogy Equity Partners in 2024. Learn more at vieu.com.
About The Guest
Samir Manjure is the Founder and CEO of Vieu, where he is building the commercial graph that maps how business relationships actually move — across investors, customers, partners, and executives. Before Vieu, Samir spent over 18 years at Microsoft, followed by founding KenSci, an AI-driven healthcare company focused on predictive risk intelligence for hospital systems.
That experience shaped a conviction Samir carries into Vieu: enterprise sales has spent two decades optimizing for volume at the cost of dignity. Cold sequences. Automated spam dressed up as personalization. A profession built on trust reduced to a numbers game. Samir believes the AI era doesn’t call for more of that — it calls for a return to how business has always actually worked: people getting deals done through people they trust.
At Vieu, Samir is building the infrastructure layer that makes that possible at scale — not better cold outreach, but a better graph. His goal isn’t just a faster sales motion. It’s restoring the dignity of selling itself — giving sellers a way to show up as a trusted connector instead of another voice in a crowded inbox.
Samir Manjure on LinkedIn: https://www.linkedin.com/in/samirm/
Subscribe to One Amazing Thing on YouTube: https://www.youtube.com/playlist?list=PL-BawE82qIM111hMVR5AJbE1uLdCMdYog
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FAQ
What is relationship intelligence?
Relationship intelligence is software that maps who knows whom, and how well, across people, companies, and interactions, so sales, marketing, and partnership teams can reach decision-makers through existing trusted connections. It uses observed signals such as shared work history, email and meeting activity, and public collaboration instead of relying only on self-reported contact lists.
How do I get a warm introduction to a target account?
Map every connection your company has to people at that account, including employees, investors, advisors, and board members, not only your own contacts. Pick the path with the strongest relationship and ask that person to introduce you. Relationship intelligence tools like Vieu automate the mapping and draft the introduction request.
What is a business graph?
A business graph is a data model that represents people, companies, and technologies as nodes and the relationships between them as edges. Examples of relationships include working at the same company, co-authoring research, investing together, or appearing on the same podcast. It can be queried to find paths between any two entities.
What does Vieu do?
Vieu maps roughly one billion people and their observed business relationships in the Vieu Graph, then shows sales and marketing teams every path to a target contact or account through their company’s full network. It also generates warm introduction requests and exposes the graph to AI agents through MCP.
Where does Vieu’s relationship data come from?
In this episode, Samir Manjure says the Vieu Graph is built from publicly available information and that Vieu does not collect data from behind login walls. Vieu’s website says a company can also connect internal sources such as CRM and email, and that each company’s data is kept isolated from other companies’ graphs.
Why does CRM relationship data go stale?
CRM relationship data depends on salespeople entering it by hand, which few do consistently, and contacts change jobs constantly. A record that was accurate when entered can be wrong within weeks unless it’s refreshed from an outside source.
Can AI agents use relationship data?
Yes. Vieu makes its graph queryable through an MCP (Model Context Protocol) interface, so AI agents can ask relationship questions directly, such as which directors at companies using a given technology live near an event venue.
Chapters
00:00 Why relationship data is scattered across systems
00:40 Samir Manjure on Microsoft, KenSci, and founding Vieu
01:30 The missing business graph: beyond Facebook and LinkedIn
02:55 Looking up a person in the Vieu Graph
03:40 Profile facts, each traced to its public source
05:40 Connection paths through your whole company’s network
06:46 One-click warm introduction drafts
07:28 Finding a way into a target account
07:55 The connector agent: filtering to VP and C-level
09:10 4 billion nodes, 14 billion relationships, and MCP access
10:32 Why CRM relationship notes never keep up
11:27 Stale CRM data and weighted relationships
12:35 Beyond sales: recruiting through trusted connections
13:22 Where to learn more
Resources
Vieu: https://try.vieu.com/technology
The One Amazing Thing with Greg Kihlström website: https://agilebrandguide.com/the-agile-brand-podcasts/one-amazing-thing-about-with-greg-kihlstrom/
Sign up for The Agile Brand newsletter here: https://www.gregkihlstrom.com
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Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com
From the creators and host of the award-winning The Agile Brand™ with Greg Kihlström podcast, comes One Amazing Thing About… with Greg Kihlström, a show that puts the spotlight on the latest and greatest MarTech products and platforms by showcasing one feature that makes them… amazing.
Transcript
Greg Kihlström (00:00)
Tracking your business relationships in a meaningful way can be tough and is often spread across multiple platforms and systems that aren’t always very flexible. What if you could map your professional relationships using verified observed collaboration like shared work history or co-authored research rather than static self-reported information?
Welcome to One Amazing Thing About Vieu Today we’re talking with Samir Manjuri, CEO at Vue, and he’s going to be sharing one amazing thing about Vue Graph with us today.
Samir, welcome to the show.
Samir Manjure (00:40)
Thank you so much, Greg. Pleasure to be here.
Greg Kihlström (00:44)
Yeah, looking forward to seeing this in action here in a second. But before we do, why don’t you give a little background on you and your role at View?
Samir Manjure (00:51)
Yeah, I’m the founder and CEO of Vue. prior to this, I had a healthcare AI company, which was also venture backed that we exited bought by Providence Group. And prior to that, I spent close to 18 years at Microsoft building dynamic CRM Bing, working with Satya Nadella, who is now the CEO. So super passionate about always enterprise relationship building. And that’s what Vue is all about. So
Happy to show your viewers what we are doing.
Greg Kihlström (01:21)
Yeah, nice.
before we dive into the the platform itself, why don’t you talk us through a little bit about it and who’s the audience and and why is it important to them?
Samir Manjure (01:30)
So what I’ll do is I’ll I’ll show a couple of slides just to show you what we do and what we are about. So the world has seen two graphs: Facebook, which basically connects your social network and like it has connected a few billions of people together.
And the other network in the world is LinkedIn, which connects you professionally to other professional people. what these two guys have done, these two companies have done, is they have basically connected people to people in a way that solves a particular problem. But in spite of all this, it still is very difficult for people to connect to people for business-oriented purposes, and that’s what Vue is. View is the first.
graph in the world, which is the business graph of the world. We map about a billion people, but not just about people-to-people relationships that can be leveraged for business, but also how the people what people are using for technology, what awards have they won, what publications have they done together, what posts have they written together. Each one is a relationship out there in the wild. And we
Are a graph of observed and inferred relationships of the world that we bring to the fore. And we use this graph to then solve for various kinds of enterprise scenarios like enterprise sales, marketing, customer success, and so on. The best is to just see this in action in context of you know, let’s say a person like yourselves, Greg. so if I today go to LinkedIn and I type
I try
Let’s see. I type Greg. I see Greg. Of course, I can see all this stuff about you here. Let’s look at how Greg looks like in the view graph. So I’m just gonna take this URL and paste it here. It automatically finds Greg in the view graph. So we have about a billion people in the view graph. it found you, it also showed a blue tick mark, which means it’s a verified profile in view graph. And when I click this, beautiful thing happens now.
As compared to LinkedIn, of course, it shows a bunch of things what is publicly available. We never scrape anything beyond the firewall. So all of the things that Google has access to, publicly available, like Greg started building his dynamic, dynamic career shipping, digital strategy, and so on, everything about you. Of course, many of these things you can find on LinkedIn, but then it starts getting interesting.
I can also marry the professional facts with personal facts. And then finally, the most important part is if I were to connect to you, Greg, if you’re a busy person, you’re a senior person, if I connect to you through a blind email, chances are you’re not gonna respond. But you can see here, these are not just my connections, but these are my entire company’s connections. So, like
Jason, I can see how Jason is connected to you. I can query exactly what Jason has, what kind of relationships you have you had, like where have you talked to Jason four years ago, and so on. And so each of this is they say internet. sorry, let me just bring it up again. they say that internet never forgets. this is an example of that, right? Here is Renu, you know, who has done a podcast with you.
Maybe back in Feb 26, I can see all the interactions that you have had with her. all kinds of I mean you can recognize all these people,
Greg Kihlström (06:45)
Yeah, yeah.
Samir Manjure (06:46)
interesting people. So that’s kind of the idea. Now, chances are if I go through one of them, you will give me time of the day. And if I need to do this, I could just click this and it will automatically create an introduction.
I can shortlist the connection, it will automatically draft a nice email and and so on. and so this is a different way of connecting with people in a lot more reliable way, which is how sales should be, which is how enterprise sales should be. the second thing that we do, this is just very quickly. I’ll show you one more thing: is let’s say if I wanted to now go after I’m a salesperson. today if I go to LinkedIn and I I can see my connections, but those I already know. I don’t know my investors’ connections, my advisors’ connections, my employees. If I have like a thousand employees in the company, I don’t know all their connections. But let’s say if I was going after something like let’s say Microsoft as a company and I want to sell to them, if I click Microsoft.
And say find connections. Our connector agent. So it’s all agentic in nature. It automatically understands the types of people I’m looking for because it understands me, my buyer persona, who I sell to. It also, you can also say, hey, show me just very, very senior people. Like, in fact, just give me VP and CXO about people now you can start seeing automatically all the C level people are showing up. And I can actually go and look. There are 181 connections to let’s say CTO Kevin Scott of Microsoft. I can actually click this and I can see who are the different connections. I can see my my CTO himself is connected here and they have communicated or Lila, who is an investor in my company, has worked with Kevin Scott, appeared on internet multiple times. If I click each one of those, appropriate link will show up. Or I can also see how she has communicated with Scott. I can click here and actually go to the LinkedIn where Kevin Scott has mentioned her, or they have interacted here. Lila talks about it and so on. So the whole idea is again anywhere, any person in the world.
You should be able to reach through your company’s network, not just your network, because that company network is a lot more richer than your own network. And so these are there are many such things I can show around people, accounts, connections, but I’ll I’ll kind of you know bring it all together in the form of this one graph. This is a 4 billion node graph with 14 billion relationships today and counting, which means every single thing that happens on internet.
We record it is observed and inferred relationship, not like on just like on LinkedIn where you have 6,000 connections and maybe you barely know 100 of those. there is no noise in the graph, it’s all real, trusted, inferred connections. So and it’s available without any fire without any authentication wall. So agents can query it and everything is queryable
And and available through MCP interfaces. So you can do very interesting things like I want to organize a dinner event in Boston. Give me all the directors who who are into golf who are also using this kind of technologies and live 50 within 50 miles of radius of this venue. I can give you this amazing set of people and you can go and hold a a very good event for them. These kinds of scenarios are not possible anywhere else with any other graph in the world.
Greg Kihlström (10:32)
This is great. Great to see. And yeah, to your point, even if you had some of this information, it’s probably sitting in you know, there you might have some information in a CRM, but then you have LinkedIn and then to t I think to the other point, it we’re we work and you know, some of us work quite a bit, but we also have lives outside of work and so it’s good to have those like the golf detail even, you know, it’s
It’s good to be able to have those details outside. And, you know, where do you put that? And maybe it’s a note in a in a CRM or something if you if you happen to catch that, but then you’re literally having to do research on every
Samir Manjure (11:12)
You need it.
Greg Kihlström (11:12)
single person. So it’s yeah, this is this is amazing to be able to see all this and and query it and not have the cost of taking the time to update every single entry in your CRM to get all this information.
Samir Manjure (11:27)
Yeah, so first of all, it it reduces the administrative burden of entering the input. Nobody wants to do that. No salesperson has woken up and said, my god, I love updating CRM. Nobody does that. but on top of that, even if you update it, things keep changing and dynamically. Like today, somebody works for this company, tomorrow they work for some other company. So your CRM data gets stale the next day, literally. And so, how do you keep track of all these moments in the world and all these relationships that you’re building, not just on LinkedIn, but outside, like who has invested in home, who has served on board together, who has played golf together, who has been on a podcast together. Each one is a relationship that you have built. And how this is a this is the trust graph of the world, which captures these relationships and assigns a weightage
To the edge between the two entities, people to people or people to tech and so on. And now you can query all of that heterogeneous things in real time for various scenarios. And this doesn’t soft this can be used for sales, marketing, but even recruiting. If I’m hiring a senior person, imagine throwing the JD into the graph, job description, and saying, hey, find me 50 people or 20 people that match this job description and
Who are connected to my company’s network. So if I have a friend who I trust who is connected to that person, and if this person, my board member or my leadership member or my friend vouches for them, half of my battle is done in hiring a senior exec. Because hey, I trust this guy and this guy trusts this guy. Boom. That’s the trust. The world works on trust. Since the dawn of civilization, it has always been about trust.
This is the first trust graph of the world, you know, that the world has seen actually.
Greg Kihlström (13:22)
Yeah, I love it. Love it. Well, yeah, we’d love to love to see more, but for for today, this has been amazing to be able to take a look. and thanks for joining. One last question before we wrap up. If people want to learn more, where’s where’s the best place for them to go?
Samir Manjure (13:39)
Best is try go to try.view.com. it’s available. you can literally get started within no time. And all of this is queryable through MCP, agents, all of that. So try dot view is viu dot com. Try.view.com.
Greg Kihlström (13:56)
Wonderful. Well again I’d like to thank Samir Manjure, CEO at Vue for joining the show. you can learn more about Samir and Vue by following the links in the show notes.
