Jeff Denworth On Co-Founding A $9.1 Billion Company To Store And Analyze Unstructured Data And Train AI Models

In a world buzzing with discussions about artificial intelligence (AI) and capital raising, Jeff Denworth, co-founder of VAST Data, sits down for an insightful interview. From his humble beginnings as a Jersey boy to helping spearhead a company with a staggering $9.1 billion valuation, Jeff shares his journey and insights into the dynamic realms of technology, business development, sales, and marketing.

Jeff’s venture, VAST Data, has attracted funding from top-tier investors like Fidelity Ventures, Fidelity Management and Research Co, New Enterprise Associates, and BOND Capital.

In this episode, you will learn:

• Jeff Denworth’s journey from an average Jersey upbringing to co-founding VAST Data showcases the transformative power of ambition and determination.
• Jeff’s early success in sales and marketing underscores the importance of education and genuine engagement in building meaningful customer relationships.
• A pivotal phone call and a shift in mindset led to the creation of VAST Data, a revolutionary AI data platform company tackling the challenges of unstructured data.
• VAST Data’s focus on unstructured data sets it apart in the data platform landscape, providing scalable and affordable solutions for organizations dealing with massive datasets.
• VAST Data’s impressive valuation of $9.1 billion and successful fundraising highlight the importance of financial conservatism, strategic investor choices, and a unique subscription-based business model.
• VAST Data emerges as a forward indicator of AI trends, showcasing the massive infrastructure buildouts required by major players like Google and Meta to advance the capabilities of large language models.
• Jeff’s vision for VAST Data involves building machines capable of independent thinking and discovery, addressing global challenges through the power of AI, and positioning the company at the forefront of transformative technologies.

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About Jeff Denworth:

Jeff Denworth has over two decades of experience in the storage and software industries. Jeff is currently the VP of Products and Co-founder at VAST Data.

Prior to VAST Data, Jeff was the SVP of Marketing at CTERA Networks from February 2014 to December 2016.

DDN Storage was his previous employer from November 2006 to March 2009 and from March 2009 to January 2014, where he served as VP of Marketing.

Before DDN Storage, Jeff was the Director of Platform Solutions at Cluster File Systems from July 2004 to November 2006. Jeff’s storage career started at Dataram as a Business Development Manager from June 1999 to July 2004.

Jeff works with Avery Pham – VP of Operations, Mike Wing – President, and Shachar Fienblit – VP of R&D and Co-Founder. Jeff Denworth reports to Renen Hallak, CEO and Founder.

Connect with Jeff Denworth:

• TheOrg
• LinkedIn
• Crunchbase
• RocketReach

Read the Full Transcription of the Interview:

Alejandro Cremades: Alrighty hello everyone and welcome to the dealmakerr show. So very excited about the episode that we have ahead of us. You know he’s say definitely a founder that they you know he’s built a tremendous company. You know we’re gonna be talking about building scaling financing all of that good stuff that we like to hear. But also you know like how to focus on what matters you know I say a founder as an operator. Also how to run a business. You know when it comes to being able to double or triple you know what’s happening without really going into the crazy burn rates that you typically see with hypergrowth companies that have vcs behind them. You know, in fact, you know they’ve been able to maintain. That type of growth rate with a you know being cash flow positive and then also how they think about Ai you know the space definitely is evolving. You know everyone is talking about Ai and also about you know their journey into capital raising. They’ve raised quite a bit of money. But also you know a really amazing. Valuation you know it was nine point one billion the last dayaluation that was disclosed so without further ado. Let’s welcome our guests today. Jeff Denworth, welcome to the show so original

Jeff Denworth: Um, thank you alljandro. It’s nice to start up billion.

Alejandro Cremades: Originally born in the southern half of New Jersey how was life growing up, give us a walk through memory lane.

Jeff Denworth: Ah I’m a Jersey boy. It just grew up in the burbs little beige house 4 bedrooms to car garage. Not really anything fancy about that. It was ah kind of ah, an average. You know, middle class childhood kids.

Alejandro Cremades: So what got you? Jeff you know into into marketing into you know, getting out there getting and in the word out there. You know about product services and stuff like that. What got you into that.

Jeff Denworth: I think you know I to honest I think I’m a secret salesperson sometimes sometimes kind of dresses up as a marketing guy when I go to work in the morning. So so it’s funny actually when I was graduating college Xerox. Ran a competition to you know, basically some like executive in the sales team came in and said sell me this printer and you know there’s like in my business school There’s probably a few hundred people that went after this got a big multi Thousand dollar cash prize out of it and and I won and so actually my first my first jobs were in the sales in the sales domain. um and you know I sold a lot of um it t hardware I sold a lot of it software and um, it was a job right around 24 to 2005 or so where um, the Ceo of the company said well I need you to start this new product and that took me in the product management. Which and then through a downturn he basically fired most of the marketing management that you know product management rolled up to and he said you’re just going to run everything and then I became the head of marketing for a multi hundred million dollar company the rest is kind of ah. Rests history as I say.

Alejandro Cremades: And what about getting into the world of technology companies because that’s ultimately you know the first thing the first entry point into the world of um, you know business on your career too.

Jeff Denworth: Chip a.

Jeff Denworth: It is it is you know and when you go to school outside of New York most of the successful people all went into jp Morgan and Guman Sachs and places like that and very few people particularly at the time going into technology. This is like 2000 or so. Um, but but interestingly in business school all the case studies that we were looking at were around things like you. You know you had the a case study for Aol I not shipping cds out in every newspaper if you go back like Twenty Twenty five years ago or um. Or Hewlett and Packard. You could start a business in a garage which you know if you’re hanging around people that just study Jp Morgan all day long. It’s the opposite of how businesses were started so you know I kind of saw this new horizon where a new type of business would be ah would be created and a new industry would be created that. Um. Was really exciting and I decided let let me play my hand to technology. So.

Alejandro Cremades: Now in your case you um you kind of like experienced um I would say the the world of business marketing sales I mean as you were alluding to it. You know you got started more on the business development then you transitioned to sales and then marketing I guess.

Jeff Denworth: Oh.

Jeff Denworth: Yeah, yeah.

Alejandro Cremades: What kind of what kind of view did I did I give you into because I mean a lot of people are like especially in the startup world like hey you build something cool and and then that’s it now I mean you got to get the word out there if if people dont know about it then you’re you’re not going to do much So so what kind of what kind of.

Jeff Denworth: Oh.

Alejandro Cremades: View or perspective did it give you being able to really understand business development sales and also marketing before becoming a founder.

Jeff Denworth: Um, that’s a great question. So I think you know the first thing is that people hate salespeople. You know when’s how many how many spam emails and calls. Do you get in a day. It’s just as as just being buyers of anything we get conditioned. But this idea that if somebody’s trying to approach you with a concept. Yeah, you kind of get concerned that they’re trying to take advantage of you or get an unshare unfair amount of money from you. So I learned really early on that unless you’re unless you’re educating. You’re just kind of like a slimy sales guy. And it turns out that that process of education is super important for kind of all aspects of business like you said this is development and and you know marketing is basically just as opposed to um, unique, casting your education as a salesperson you go to broadcast that and you get to you know, talk to whole markets and so.

Jeff Denworth: The things that I learned really on is that you know if if your statements have empty calories. First of all people are going to be suspicious of you and they’re definitely not going to buy tribute second thing I learned is that you know if if you really can educate then. Then people will appreciate you so much more than they’ll appreciate people that just try to take their money and I’ve carried that with me since those days and I’ve had a pretty successful career as a result.

Alejandro Cremades: I Love that you know it’s same in order to to receive to receive you need to give right? and what you’re saying there is is so powerful so profound. So I guess in your case, you know when you were at the sattera which was on an Israeli company.

Jeff Denworth: Um I agree.

Jeff Denworth: Copy.

Alejandro Cremades: That was the most immediate step before you venturing into the world of um, you know, being a founder. So I guess what happened you know what? what was that call that phone call that you received.

Jeff Denworth: Yeah, always? um so I actually got a text message and it was from what a mailed one a former boss who I have to you know Josh if you’re listening to this I just have to thank you again for sending me this text message because it’s it’s literally changed my life. But I got a text message and said you’re gonna get a call from a guy and you don’t want to notice it call and so so I ended up getting a call from a guy who’s the Ceo Vast gentleman by the name of Remon who it’s easily one of the smartest people I’ve ever worked with and um. Basically said, we’re starting a storage company and if you know the world of it. Data storage is definitely not a sexy place to operate these are like the people that build the plumbing for for application infrastructure and at a time you know everybody’s going cloud and so. I didn’t listen to Josh and I told Renon no because I was an idiot and and you know Breon called back and he said I don’t think you understand what I’m what I’m proposing. He’s looking for somebody to basically come in and help them start the company from the go-to market perspective and so I had him talk to a few of my friends and and ah. Those those people you know they didn’t understand the ai or the market opportunity that would create but they did understand how to build businesses and they said okay, you probably build the multibillion dollar business out. It won’t be huge but and so even then I said no um and it turns out that I had a really bad day at ah, my previous job.

Jeff Denworth: Where um, I realized I had like 1 of those real moments of business clarity. Ah that I I hope every cofounder has at some point before they get into the job which is you’re sitting in ah in ah in a company that you didn’t start and you’re listening to people talk about plans that you. Never were part of originating and I realized that that on that bad day that um once you set up like a company’s core Dna. It’s very difficult to change that the mission is very difficult to change and I realized at that moment if I was going to be working in a company that made bad decisions. I wanted them to be my bad decisions. Not somebody else’s because they’ll tell me they only have myself to blame. So um, so so at that moment I called Renon back and I said I’m in and I didn’t entirely understand the technology that he had conceived of and how awesome it would be but I knew. That I wanted to be a cofounder I had graduated from this idea of learning about businesses and I wanted to try my hand at creating one food to ground up and we worked like elf for 8 years So okay, so that’s a great question so I’m I’m ah ah you know like I said I’m a secret sales guy.

Alejandro Cremades: So what happened next.

Jeff Denworth: Disguised as a marketing and product person and so they hire me into the company and they’re like okay get to work and the product isn’t development product they’t even start coding yet right? So they’re just kind of thinking about what this thing should be and they’re doing a ton of architecture work a lot of software architecture. And I’m sitting around twi twidling my thumbs saying what should I do so I did. The only thing I know how to do and I just took ah I made a slide deck and I went out and I started selling it all around the world I’m a very listless person and so literally I I get on a plane and I travel from city to city to city telling people the idea. Really cool because you know when you’re in stealth mode. You can say I know something that nobody else knows and I can tell you but you know you have to sign in Nba it’s a really special event and we don’t want anybody to find out about our crazy technology but he was we were always asking for help. And that process of asking for help can really get a customer engaged in ways that are way different than if you’re asking to sell them something. It’s like you said earlier you have to you have to give to get and here we were. We were getting to get um which is a different kind of process. But. I really believe in the in the technology space the customers that you sell to are engineers and engineers love to create and so if you give them a new ball of clay and you say here’s a new thing and what would you do with this then you start to collaborate and so by the time we came out of stealth mode but I’ll get to stealth mode in it

Jeff Denworth: We on a sales boat in a moment by the time we had a product actually ship. We had a list of some of the world’s best data users and some of the world’s best data processors that it was as long as my arm people lining up saying we want this right now. Um, where we have just just this awesome opportunity to kind of. Lay the early foundation of our go- to market with some of the smartest customers in the world that were just providing real time feedback about overmaking such that when a King climbed open up the spigot and start selling. Um the the checks were very meaningful and and almost almost surprising I would say to some respect.

Alejandro Cremades: That’s incredible. So I guess for the people that are listening to really get it. What ended up being the business model vast data. How do you guys make money.

Jeff Denworth: So so we’re a provider of of what we call a data platform. What’s so what’s a data platform. Um, essentially what we’ve done is we’ve built this new distributed systems architecture. We think we’ve solved for a lot of the scaling and cost challenges of. Um, legacy distributed data storage and processing systems and we built this thing. That’s just massively scalable and super affordable and so think about it as combining a storage layer where you put all your data a database layer where you organize all of your data. Um. And a computational layer where you basically can refine raw data into something that has structure that you can go and interrogate upon or query against to use ah kind of business intelligence terms. Um, but the difference is in in data platforms aren’t new right? There are very popular companies in the marketplace that offer data platforms companies like. Snowflake ah and data warehousing space um databricks in the data processing space the difference with vas is that we work on and on a data type that’s largely not been usable by enterprises for the last twenty years thirty years or so it’s called Unstructured Data so you know the the video that we’re making right now or the audio that we’re making right now is unstructured right? You don’t know what’s inside of it such that you can’t go and analyze that without some sort of additional Ai and that’s the interesting thing for the first time ever now you have processors in the form of gpu’s.

Jeff Denworth: And you have technologies in the form of normal networks that can actually make sense of this data that doesn’t have natural structure talking about videos I’m talking about imagery I’m talking about free text talking about data coming off of instruments or or you know things like satellites and so the point is. There’s a market event that’s happening right now around something called deep learning and deep learning is opening up access to all the world’s data that wasn’t processable and queryable up until now if you look at the all the data in the world roughly 95% of the world’s data is unstructured that means 5% sitting in those. Business systems that all these business analysts are working with and the rest of it is our opportunity to go and and just completely open up insights. So that’s what we’ve been working on um the the system is designed for organizations that have real scaling challenges. So some of the world’s largest enterprises uses this. This to process their unstructured data some of the world’s largest service providers particularly the ones that are born in the era of Ai are now taking our product out to market as ah as a service right? So these are companies that are just starting to become really popular like um core weave. Which is known to be like the world’s one of the world’s largest concentrations of gpu they’re building some amazing infrastructure other organizations like core 42 in the Middle East or lambda labs or or genesis cloud these are these are a new crop of um of ai csps that are emerging to.

Jeff Denworth: Basically solve for the infrastructure challenges of just very very very large systems and so so yeah, we’ve been fortunate to work with um the biggest enterprises and the biggest service providers that are emerging in the ai space to to really couple. Um, the data story with the processing story. That’s largely been defined by Nvidia up until now Whenvidia as an investor invest and um and we’re unlocking access to all of a customer data so that you can you can run these new Ai applications against them right.

Alejandro Cremades: That’s amazing now for the company. How much capital have you guys raised to date.

Jeff Denworth: Um, I think the numbers somewhere in the range of like 380 it’s just a touch under $400000000 to date and.

Alejandro Cremades: And I believe it was announced the last valuation nine point one billion which is pretty remarkable ah being the that one of the co-founders of something so incredible. So meaningful now now I guess how has been the journey to of going through. You know from 1 financing cycle to the next. How has the pain for for all of you guys.

Jeff Denworth: Well I think the the first I mean the probably the most critical part of fundraising is that you should never need money right? and it’s always good to take the money when the investors want to come to you as opposed to vice versa. Um, and then the second consideration is choosing the right investors and. Because they’re you’re basically your business partners as you kind of grow and scale the business and um, good ones are there I think to to provide support when you need it and keep out of your hair and and we’ve just been ah, really super fortunate in this regard. But um, so we just closed series e. This was a little bit less than $100000000 invested. So if you do the math. It’s just like a touch under 1 % dilution to basically go the grow the valuation by two and a half x now if we look at the market right now there aren’t a lot of companies that are growing their valuation to that scale and actually. When we studied. Okay of companies that are over $5000000000 who are the ones that have grown their businesses in terms of valuation by more than a factor of 2 over the last two years there’s only like 5 in the market right? You have openai and you have anthropic at the application level you have core weave at the data center level. Ah, and you have Nvidia at the the processor in the training framework level then you have vast. What’s the commonality between that what you have is the the modern stack for the ai era that’s now being expressed in business terms ah in terms of market recognition and so.

Jeff Denworth: We see some really really strong signals from the market that we’re working in areas where you know there’s ah, there’s a lot of societal impact but series e was was the fifth of the funding rounds that we’ve taken so like I said it’s always better to to raise when you don’t need money and I think the the. The key here is that we run the business very very financially conservatively even though we’re growing by leaps and bounds we try not to burn any cash and actually the company is has been in a mode where we’ve been generating cash over the last three three years or so and that comes from a unique business model where. Um, we’re a software company. We sell software on a subscription basis but we sell multi-year terms in terms of contract length and we take all the cash upfront and so that that kind of like prepayment of cash allows us to to continue to fund the growth machine without having to go back. And ask the investment community for money which puts most of the capital raises on on our terms and not ah not investor terms.

Alejandro Cremades: That’s incredible I mean that really sayss a lot about you guys because you know one thing that we’ve seen is you know a year or two ago is like money was free. You know everyone was like inflating the evaluations by a mile and and we say you know the fact that you guys have been able to um.

Jeff Denworth: Oh.

Alejandro Cremades: Have that mindset of just being capital efficient. You know and effective ah in in really as you were saying not really relying on on capital to to to have that level of growth I mean how have you guys been able to really achieve that because when you have the capital is easy to get lazy and.

Jeff Denworth: And.

Alejandro Cremades: And and just to go burn and and and grow like crazy I’m wondering like what? what’s ingrain in the in the culture of vast. You know that that has pushed you guys with that mindset.

Jeff Denworth: Well I think it’s probably 1 cultural aspect and then there’s you know things that happen in the market that become reinforcement events right? So from a cultural perspective every person that comes here is is essentially challenged to run the business as if it was their own right. If I give you a um, kind of a gift card for you know let’s say I give you a thousand dollar visa gift card. You go spend that because it’s found money. But if I say I need $1000 from you and then I give it back to you then you think twice about how you’ve spent that money because now you’re you’re kind of. You’re balancing how much do I conserve versus how much do I have equation and that is from a cultural perspective ingrained into every single employee at vast where this is a finite resource and and you know debt or um or cash burn. Results in a vulnerability and we don’t want to be vulnerable. We want to be unstoppable and so we think really hard about every dollar that we spend now it becomes easy to kind of get confused with your success over time and we’ve been for better or worse. There have been market events that reinforced the fact that we made. Really smart choices right? So when covid hit everybody’s taking ppv and and people were laying off as like a preemptive measure and we just we kept a very very steady hand and we said okay, we’re fine right? We got tons of money in the bank. Everything’s good. Um, then you know ah two years later the recessionary

Jeff Denworth: Ah, kind of elements started to creep into the market. Same thing we’re fine. We don’t really care a few months after that turns out Silicon Valley Bank went under and um, we found ourselves $70000000 poorer the day that that happened because we had a we had a lot of money tied up at Svp.

Jeff Denworth: And so I remember calling our Ceo brenon and I said hey I’m just going to give you like 2 minutes to yell you know you yell at me you you yell at the world I don’t care but you know I just need to give you a chance to vent because losing $70000000 is not It’s not so that’s what we dig lightly. And he goes. What’s just the number on our balance sheet and we’ve got right more money than that at the bank. So we’re fine now. Ultimately we recovered that that money through you know the the reconciliation that happened with Svp but that that was the moment where we knew we really made the right decisions not to get ah over extended because. Um, you never know what’s going to happen.

Alejandro Cremades: Yeah, no kidding now. Obviously what’s happening with Ai is is crazy now I mean you were talking about open Ai you know earlier just the growth of it the hype around the 2 where do you think the whole you know. Ai space is evolving.

Jeff Denworth: Um, yeah, but that’s ah, that’s like a super broad question. Um, there’s probably like seven ai engines just listening in on this this podcast. But um I think of what we’re doing is being a little bit of a forward indicator of things that are about to happen right? so. Let’s say I’m open ai I’m not saying they’re a customer of ours. But if I’m open Ai the things that I’ve release out to the world in terms of um, chat gbt and gpfourgpfivegptsix whatever the thing that happens before that is there’s a massive infrastructure buildout so that they can train these models and. You know a large it organization yesterday if you want to build like a large analytics farm that may cost you a few tens of millions of dollars today if I want to train some of the most popular large language models the amount of money that has to be invested in the computer and machinery for this is. Is in certain cases well over a billion dollars single machine investment that you have to make so it’s kind of crazy. We’re back in the supercomputing age that like you know Krey started something like I don’t know 40 or fifty years ago um and the stakes are are wildly high as people move from. Um, thinking about large language models is kind of like you know the chat bots that we have today to what’s called agi or artificial general intelligence which is what? um basically the I think they call it the a I 5 or all racing 2 as as fast as they possibly can.

Jeff Denworth: and and I’ll tell you this is a king sport because it’s not cheap. It’s not cheap game to play right? If you’re if you’re Google if you’re Microsoft if you’re meta if you’re Elon. Um, you know you’re you’re you’re allocating billions upon billions of dollars just from an equipment perspective to go do this. And so um, so I think a vast is like the the forward indicator of what’s going to hump come because as our business starts to ramp that means that these large organizations are making even more meaningful investments. Um in the future of general intelligence and and you know the predictions are crazy. But. What you’ve seen so far is just a small small fraction of what’s to come.

Alejandro Cremades: And you’re talking there about the future. So I want to talk about the future here together. Imagine Jeff you go to sleep tonight and you wake up in a world where the vision of us data is fully realized what does that world look like.

Jeff Denworth: I.

Jeff Denworth: Um, that’s ah, that’s an interesting one. So what does the future look like well. Um, first of all I I would like to think that as a company we’ve built something that we’re aiming at and you know you always set a kind of a horizon that’s It’s beyond what you think you can attain just so you give yourself something to really work for um and and we want to build machines that can ultimately think for themselves and you know we kind of map the way that humanity has has learned and evolved to what can be done at the system level. What we realize is that if you can accumulate all the world’s knowledge from a data perspective and you can build a system that can actually both process that data receive new data make correlations and then get smarter and smarter as those correlations accumulate in the system then you actually have this recursive loop. Of of learning that’s driven by new data that enters the system. Um and the hope is that as time goes on these new Ai engines will be used to discover things that we don’t today understand right? You know today if I ask a. Large language model what the weather is or something like that they’re going to par it back what they’ve just been trained on plus some quick look up to some weather service. But if I go you know forward in time the the raw computing power will be greater than anything that humanity can bring to the table.

Jeff Denworth: And if that’s the case can we solve for things like clean energy. Can we solve for Cancer. Can we solve for the food shortage or food food crisis crisis or water crisis that’s happening around the world and I have to think that you know there is hope there and so you know my my simple. And humble aspirations to have vast be part of this this transformation around the world and and yeah it it will you know the question. Yeah I have you have kids. What’s the oldest.

Alejandro Cremades: I do I have 3 daughters seven years old the oldest and six year old at twins.

Jeff Denworth: Okay, so she’s 10 years from getting her driver’s license. The eldest do you think you’re actually going to have to teach her how to drive her. Do you think the cars will do that for you and that’s just 1 example right? So I you know my eldest is is 10

Alejandro Cremades: That’s right. I Think the cars will do that for for us.

Jeff Denworth: As of Friday and I’m not sure she’ll ever I’m not sure I’ll have to teach her how to drive right? That’s ah, that’s a rite of passage for a father and I might not get to do.

Alejandro Cremades: Him maybe maybe they don’t even need to do any driving and like you were saying there Jeff now here here I want to ask you something. Obviously we’re talking about the future but I want to talk about the past now with a lens of reflection. Okay I’m gonna put you into a time machine.

Jeff Denworth: Um.

Alejandro Cremades: I’m going to be bringing you back to 2016 okay that moment that you were still working at Sotera Networks and it was the moment that they right before you picked up the phone from renan and then let’s say right before you know you’re picking up that phone that moment where.

Jeff Denworth: So.

Alejandro Cremades: You know we see it took you 2 calls but let’s say you know right? before that your brain started to think about you know what could be possible there of of becoming a cofounder. Let’s say you’re able to be right there with your younger self and you’re able to say hey Jeff here’s one piece of advice that you should really keep in mind before.

Jeff Denworth: Okay.

Jeff Denworth: Um, yeah.

Alejandro Cremades: You know building this business. What would that be on why given what you know now of being seven years in here.

Jeff Denworth: um um I would give myself 2 pieces of advice if you’ll indulge me the first is that it’s always harder than you ever think it can be. Ah, and to this day you know vast is um, you can’t build a great company without and a great amount of effort I don’t think there are any free rights in this regard and the more successful you become the more slings and arrows it shot at you from the market which kind of. Is ah is ah is a friction against a market entrance or a market growth. So you know every day we kind of wake up and think tomorrow is going to be that day where it gets easier and it never gets easier.

Jeff Denworth: Um, but then the the second thing I think is that if I could give myself 1 piece of advice or a second piece of advice. It would be um, that challenge yourself to question. The norms that you operate with on a daily basis much harder like you have to you have to build. Um you you have to build that challenger mentality and that contrarian mentality into a discipline where every time you wake up and you start doing something that’s routine. You have to ask yourself. Is this the most optimal way to conduct myself and it’s so easy to fall into routine and if everybody’s doing the same routine that we’ve all been trained upon over the last I don’t know 50 years or so and everybody’s doing the exact same thing and there’s no way to get an edge. And so the only times that we have like true breakout moments or what we take steps back and say is this the best way that it can possibly be done and the answer is almost always no.

Alejandro Cremades: That’s that’s very very profound Jeff for the people that team that are listening that are inspired and and I will love to reach out and say hi. What is the best way for them to do so. Jeff.

Jeff Denworth: Oh well, you can reach out to me at [email protected] a simple email is it if you’re the first guy in you get to pick the the first 4 letters in front of your at side meeting check out vast at just fast data dot com.

Alejandro Cremades: Amazing, easy enough. Well hey Jeff thank you so much for being on the deal maker show today. It has been an honor to have you with us. Thanks.

Jeff Denworth: It’s awesome being here. Thank you all Andre.

*****

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