Valuation · 2021
$4.5M
2024 Revenue
$5M(Est.)
Funding
$1.6M
Team
26
Founded
2019
Jiva.ai Revenue, Valuation & Funding (2024)
Jiva.ai is a UK-based artificial intelligence company founded in 2019 that builds multimodal AI systems for healthcare providers. The platform allows clinicians to upload medical imaging data and generate diagnostic AI models without deep technical expertise, targeting use cases such as prostate cancer detection from MRI scans and liver disease diagnostics from CT scans. The company also develops its own proprietary diagnostic products alongside the general-purpose platform.
As of November 2021, Jiva.ai had closed a £1,300,000 seed round at a £4,000,000 post-money valuation and had won £400,000 in non-dilutive UK government grant funding. The company had not yet converted any customers to paid contracts, though three conversions were expected within the following month. Manish Patel, a co-founder and CEO, leads a team of six full-time staff and six part-time consultants, with approximately 13 months of runway remaining.
Last updated
Jiva.ai Revenue
In 2024, Jiva.ai's revenue reached $5M.
| Year | Milestone | Source |
|---|---|---|
| 2024 | Jiva.ai Hit $5m revenue in June 2024 | Estimated |
| 2019 | Launched with $0 revenue |
Founder / CEO
Manish Patel
CEO
Manish Patel is a co-founder and CEO of Jiva.ai, a role he described as one he was reluctant to take, saying his chairman and fellow founders pushed him into it. Patel holds a background in genetics, bioinformatics, and systems biology from his doctoral work, during which he wrote his first lines of code and developed early ideas about merging models to represent complex biological systems. He subsequently spent years working on algorithmic trading teams at investment banks and hedge funds, including Lehman Brothers.
Patel began stepping back from his banking roles around 2014 to explore entrepreneurship, going part-time at that point before committing fully to Jiva.ai in 2019. He was 42 years old at the time of the November 2021 interview. Before Jiva.ai, he co-founded a hospitality software business and held serial CTO roles. Jiva.ai has three co-founders in total. Patel and a university friend of 25 years initially split equity 50-50, and a third co-founder serving as COO was subsequently brought in, receiving an equity stake estimated at 10 to 20 percent. Net worth was not discussed in the interview.
Q&A
| Question | Answer |
|---|---|
| What's your age? | 45 |
Customers
As of November 2021, Jiva.ai had zero paying customers. Patel stated that approximately a dozen prospects were in pilot or pipeline stages, with three expected to convert to paid contracts within the following month. The conversion criterion is demonstrated value: pilots must show measurable cost savings or operational efficiencies before a healthcare provider commits to a subscription.
Patel indicated that average contract values for the platform would be in the range of £3,000 to £4,000 per month for corporate customers, with academic and research and development clients paying in the hundreds of pounds per month. He acknowledged those figures were forward-looking estimates based on anticipated pricing rather than realized contracts, given the company's pre-revenue status at the time of the interview.
We do not have customer count information for Jiva.ai yet.
Jiva.ai Business Model
Jiva.ai operates a subscription model with two revenue streams: subscriptions to the general-purpose machine learning platform and subscriptions to its proprietary diagnostic products. Platform pricing is tiered by customer type, with academic and research and development users paying in the hundreds of pounds per month and corporate clients targeted at £3,000 to £4,000 per month.
As of November 2021, the company was pre-revenue with zero paying customers. Monthly net burn was approximately £50,000, with total expenses capped at no more than £100,000 per month, the higher figure driven by sporadic regulatory work. With £1,300,000 raised in the May 2021 seed round, the company had approximately 13 months of runway remaining at the time of the interview. Profitability, gross margin, churn, LTV, CAC, and retention metrics were not discussed, as the company had not yet generated revenue.
Point-in-time figures shared on the GetLatka podcast, each linked to the exact moment it was said on camera.
Customers (2021)
0
“Nathan Latka: How many are actually paying, Manish? Come on. You must know this number. This is like the lifeblood of the business. How many paying customers? Manish Patel: So zero right now.”
WatchJiva.ai Employees & Team Size
Jiva.ai had six full-time staff as of November 2021, supplemented by six part-time workers described as a mix of consultants and board members. Patel said the decision to bring in experienced advisors rather than junior hires early in the company's life was deliberate, and he credited that choice with helping the company survive and secure funding through the COVID-19 period.
Jiva.ai employs approximately 22 people as of 2026, up from 21 in 2023.
| Year | Milestone | Source |
|---|---|---|
| 2024 | Reached 26 employees (October 2024) | |
| 2024 | Reached 22 employees (October 2024) | |
| 2023 | Reached 21 employees (December 2023) | |
| 2022 | Reached 21 employees (December 2022) | |
| 2021 | Reached 6 employees (November 2021) |
Frequently Asked Questions about Jiva.ai
What is Jiva.ai's revenue?
Jiva.ai generates an estimated $5M in annual revenue.
Who founded Jiva.ai?
Jiva.ai was founded by Manish Patel.
Who is the CEO of Jiva.ai?
The CEO of Jiva.ai is Manish Patel.
How much funding does Jiva.ai have?
Jiva.ai raised $1.6M across 2 rounds.
How many employees does Jiva.ai have?
Jiva.ai has 26 employees.
Where is Jiva.ai headquarters?
Jiva.ai is headquartered in London, United Kingdom.
Compare Jiva.ai to the industry
Jiva.ai operates across multiple industries. Browse revenue, funding, and growth data for Jiva.ai in each sector below.
Full Interview Transcripts
Jiva burning $50k/mo after raising $1.3m Seed, Plan to Turn POC's into Paid AccountsNov 4, 2021
[00:00] Hey, folks. My guest today is Manish Patel. He's trained in the biological dark arts of genetics, bioinformatics, and systems biology before spending some dark years in algorithmic trading teams and investment banks and hedge funds. Now he saw the light. He's co founded a hospitality software business, a serial CTO, and then took the dive recently into jiva.ai, where he's creating multimodal AI systems. Manish, are you ready to take us to the top? [00:22] >> Absolutely. [00:23] All right. Multimodal AI systems for what niche? [00:29] >> Basically, wanna target healthcare first, right? So the problem with multimodal AI is that actually its application is everywhere. Wherever you look, wherever you're applying deep learning technologies to learn about complex things, complex things inherently are difficult to understand, difficult to get patterns recognized. And so we built this company in recognition of the fact that when you want to do some machine learning, you don't have to have over application of Occam's razor and, you know, down to [01:04] >> every sort of little vertical and learn about each little vertical. You can learn about all of them and put them all together and that is what we call multimodal AI. [01:14] So explain to me how a healthcare provider may pay you to use your tool to do things like, you know, live monitoring, real speed of execution, you know, alerts for medical staff, things like that. [01:23] >> Sure. So there are a couple of ways we provide this service. So first of all, our platform is a general purpose machine learning platform. So in the same way that you pick up Microsoft Word to write a document, My vision is that clinicians will pick up jiva to create an AI technology, an AI solution for whatever they want to do. So whether you're a respiratory [01:47] >> clinician who wants to learn about COPD or COVID from CT scans or you are a urologist who wants to learn about prostate cancer from MRI scans, you pick up jiva, you plunk your data in, it tries to figure out the best model for you and you can then use that and commercialize that, get it all clinically validated and all that jazz. [02:08] >> When I first presented this idea, this was a really difficult thing for clinicians and investors to get their head around, and so we had to kind of be our own customers. We created our own diagnostics products. We've got a prostate cancer diagnostic, we've got a liver disease diagnostic, we've previously created bone fracture diagnostics as well. That is just in the diagnostic fields, but you know, concentrate on that because that was the hot hairies at the time. [02:34] >> But you know, the two things that we're doing there obviously then are subscription for the platform and then subscription for [02:42] What full type of paying are on average for subscription to the platform? [02:47] >> So platform can be highly variable. If you're talking to academics R and D, that's hundreds of pounds a month. If you're talking to corporates, that's thousands of pounds a month because their requirements are just just so vast. What's your [03:01] sweet spot though right now? If I forced you into an average, would you say $2,000 a month isn't a good average? [03:06] >> More. 3 to 4,000 would be a Three good to four. [03:09] Okay. Interesting. And and now tell me give me the backstory here. When did you write the first line of code for the platform? What year? 2001. Oh, wow. You've at this for a while. Okay. Have you been full time since 2001? [03:22] >> No, no, no, no. So the seed of the idea of jiva was actually when I did my PhD. That's when I first wrote my first line of code. And actually, wasn't even a coder. I was learning on the fly. And we recognized that we had to get better ways to simulate complex systems, simulate tumors. And that's when we started. And the ideas that we built from that project, the idea that you can merge different models together [03:46] >> to create more representative predictors, came from there. And that's what was been rewritten and rehashed in When did go all in? [03:54] What's the all in day? [03:55] >> '19 so, okay, 2019, technically, but we were thinking about it from 2014 onwards. I actually went part time in my roles at banks and hedge funds in around 2014, 2015. And so that was when I was like, no, I need to go and do something more creative. And then I went head first into it in 2019, much to my wife's consternation because I didn't have any salary for a while. [04:24] Did you have any savings? [04:26] >> Yeah. Yeah. I mean, we had we had some savings and and luckily luckily I was lucky enough to work in two major banks, although one of them was Lehman Brothers. [04:36] Yeah. Hear they pay big bonuses. So if you're operating in dark pools and hedge funds, shaving milliseconds off a trade and doing some arbitrage, I bet you had some savings. [04:44] >> There was yeah. There a significant upside to those jobs to that job in in that respect for sure. [04:48] Alright. So 2019 you get going and are you the sole founder? You own a 100? [04:52] >> Nope. We're three founders, a friend of mine of twenty five years, actually a friend from university and another friend who is our COO. All three of us are three home owners. [05:03] Did you guys just be nice and split 33, 33, 33 at the beginning or no? [05:08] >> No. So technically me and Chet, so we were fifty fifty to begin with. And Sarah, we bought in because we realized we're just administratively really rubbish. And then she stole a nice chunk. [05:19] What's a nice chunk? Like 10 to 20%? [05:22] >> Yeah. Yes. Okay. [05:24] Now what about investors? Have you guys bootstrapped or did you raise? [05:26] >> We bootstrapped to begin with. We we went to friends and fools and family to to get our first 250 ish thousand pounds. That was 2019. Okay. And, or shortly after we incorporated, we incorporated February 2019, six months later for our funding, won around £400,000 in grant funding, so as you know, The UK has a really great funding program from the government, which is non equity raising, and then just recently closed a 1,300,000 round with institutional investors. [05:57] This year? [05:58] >> This year in May. [05:59] Oh, very cool. What valuation did you raise at? [06:02] >> So that was around a £4,000,000 valuation. [06:05] Pre money or post? [06:07] >> Post. Post. I think a [06:09] 3.2 pre something like that. [06:11] >> We had to, yeah. We had to, yeah. We to skin it a little because it was, yeah. I mean, it was the time during COVID times kind of the situation we found ourselves in. But we have, I think unpleasantly, I'm pretty confident that next year is gonna be, much better. [06:31] So you guys sold about 20% of the business in that round, 25%, something like exactly. What cap was the pre seed at, 250 k? [06:39] >> So yeah, it was 250 k, yeah, pre seed, and we didn't wanna go any more than that because there were certain tax rules around EIS and SEIS funding, we kept our 250 k, and that is gonna be your most expensive round, right? Your pre seed and seed are gonna be your most expensive round. So we didn't wanna go crazy on a lower valuation. And so we did just enough then, enough to get to where we want to [07:00] >> go in this year. [07:00] What valuation was that? A million valuation? Something like that? [07:03] >> That was a million. Yeah. Pre money. Yeah. [07:05] Okay. So you've sold twenty five percent two to or twenty percent two times basically is the way to look at that. [07:09] >> Yeah. Yeah. [07:10] Exactly. Fair enough. But you're off the races now. How many customers are you working with? [07:14] >> So oh, god. I I don't I don't have the number, but at least a dozen that are that are or will be paying soon in our pipeline. [07:23] How many are actually paying, Manish? Come on. You must know this number. This is like the lifeblood of the business. How many paying customers? [07:28] >> So zero right now. [07:30] Okay. [07:30] >> Next month, three. [07:32] Okay. Got it. So you have you have 12 that are basically in pilot phase. Right? What what do you know that they need to do in pilot to convert to paid? [07:39] >> You gotta show that you got value. Right? The number one thing is you gotta show these guys that whatever you're introducing is actually having some value being driven out from the introduction of this new technology. So it's a slow burn in healthcare as it is, so it's a little bit of a hard sell, but when you get there and you show them what you can do and you can say, well actually look, you'll save a whole [08:02] >> heap of cash over here and you'll make a whole heap of efficiencies over here, Why don't you do that? And so we show them, they pilot it and then they'll say, yeah, okay, we'll buy. And that's we're at that stage where we've got a number of customers saying, we'll buy. But then we're just going through the cycles. [08:18] So you gave me those average contract values earlier. What were you basing those off of if you're pre revenue today? [08:23] >> Think in the year. [08:24] Okay. You're just that's sort of what you think you're gonna charge once they convert. Okay. So you must be very powerful at convincing investors because you raised 1,300,000 at a 4.5 valuation pre revenue. Right? So what did your slides look like? Did you just use the pilots to show traction? [08:37] >> So first of all, I'm a crappy salesperson. I really am. I'm a reluctant CEO. I didn't want to be CEO actually. Was kind of my chairman and the other founders kind of forced me into it. [08:52] >> But no, I had to learn on the job and I have great people around me. And one those people, or actually more than one of them, is very, very good at being critical about what I do in terms of the deck, in terms of the way it looks, in terms of the story that I tell. And so having those people around me to tell me how I should hone it was actually what sold it. And I [09:14] >> honed that, practiced it, I've recorded myself doing a pitch a number of times, watched it over. It kind of helped that we were in COVID times because doing it in person is slightly different from doing it online. But yeah, no, there was a lot of practice involved. [09:32] Fair enough. So you spent your COVID watching yourself give yourself funding presentations basically. [09:37] >> That's not a bad a whole Can I convince myself? Can I convince myself to give me £1,000,000? [09:41] Yeah. That was just So how much, how how many months of runway does 1,300,000 get you guys? What's your total burn today monthly? [09:48] >> Our monthly burn is really low. So look, we're 50 ks monthly burn at the moment. [09:52] That's total expenses or net burn? [09:55] >> Net. [09:56] What are total expenses So all [09:59] >> it varies because we have some regulatory work that we're doing and that's quite sporadic, but it won't go over a 100 k, put it that way. [10:07] Okay. So between 50 and a 100 you're burning, your bank's going down per month. You've got at least thirteen months of runway in the bank. [10:12] >> Exactly. And we have, you know, we've got, again, confident that we can get more cash next year. [10:19] What's the team look like today? How many folks? [10:22] >> So there are six people full time, six more that are part time. Some of those are actually consultants and or who actually sit on our board. And as an early stage business, think that was a really important decision to get experience rather than junior people at the beginning. And I think that's what's actually turned the company's fortunes over the last eighteen months over COVID because COVID is one of these times, think I think somehow I remember [10:48] >> someone saying that if if your startup survives COVID and gets funding, then you've gone through an evolutionary selection process that that that shows that you've got some resilience. [10:56] Modern day Silicon Valley Darwinism is what we'll call it. [10:59] >> Yeah, absolutely. I say that's exactly it. That's exactly it. So many companies fail too much. [11:04] Yep. Manny, well, is good stuff. Thanks for coming on and sharing your story. Let's wrap up here with the famous five. Number one, what's your favorite business book? [11:11] >> Oh, God. [11:15] >> I can't remember the name of the book, but the one that had the nice little graph with the gap that's had [11:21] Crossing the chasm. [11:23] >> Crossing the chasm, that's it. Yep. Yep. Yep. [11:26] Something the fact that I know that based off you just saying the graph Yeah. [11:29] >> Yeah. Drawing the graph on my finger. [11:31] >> Yeah. Yeah. Yeah. [11:32] I love that. No. [11:33] >> Geoffrey Moore, that's a great book. [11:34] And number two, is there a CEO you're following or studying? [11:38] >> I I so I was just gonna sound really corny, but I am following Elon Musk at the Not for reasons that other people might, but I I think he's a I think he's a quite smart guy. [11:48] Number three, what's your favorite online tool for building the business? [11:51] >> On sorry. Online tool, did you say? [11:53] Yeah. The one that you use the most. [11:55] >> Oh, Google Google Google Suite. [11:57] >> Google Suite. [11:58] Number four, how many hours of sleep do get every night? [12:02] >> Four to five. [12:03] Okay. Not horrible. What's your situation? Married, single, kids? [12:06] >> Married with two kids. [12:07] Two kid wow. You're a busy guy. Alright. How old are you? [12:11] >> How old am I? 42. [12:14] 42. Last last question. What's something you wish you knew when you were 20? [12:18] >> Say say again. Sorry. [12:19] Something you wish you knew when you were 20. [12:22] >> Oh, how hard startups are. [12:25] Guys, startups are hard. He's been thinking about this idea since 2001 when he when he came out college. Wrote the first line of code back then, went full time 2019. Did a $250,000 pre seed round at a million dollar valuation, did another $1,300,000 round seed, 4,500,000 post money valuation just this year. Sold 20% of the company two times, but has a great team, 12 customers and pilots right now, hoping to move those folks into paid accounts [12:47] here in the next two to three months. They're only burning, call it, 50 to $100,000 per month right now. So thirteen months of runway in the bank. Team of six as they look to scale. Again, building jiva.ai, helping healthcare providers get into their data, pull signal from noise faster. Manny, thanks for taking us to the top. [13:02] >> Thanks so much for the time. [13:05] One more thing before you go. We have a brand new show every Thursday at 1PM Central. It's called Shark Tank for SaaS. We call it deal or bust. One founder comes on, three hungry buyers, they try and do a deal live and the founder shares back end dashboards, their expenses, their revenue, ARPU, CAC, LTV, you name it, they share it. And the buyers try and make a deal live. It is fun to watch every Thursday one [13:30] p. M. Central. Additionally, remember these recorded Founder interviews go live. We release them here on YouTube every day at two p. M. Central. To make sure you don't miss any of that, make sure you click the subscribe button below here on YouTube, the big red button and then click the little bell notification to make sure you get notifications when we do go live. I wouldn't want you to miss breaking news in the SaaS world, whether it's [13:51] an acquisition, a big fundraise, a big sale, a big profitability statement or something else. I don't want you to miss it. Additionally, if you want to take this conversation deeper and further, we have by far the largest private Slack community for B2B SaaS founders. You want to get in there. We've probably talked about your tool if you're running a company or your firm if you're investing. You can go in there and quickly search and see what [14:13] people are saying. Sign up for that at nathanlatka.com slack. In the meantime, I'm hanging out with you here on YouTube. I'll be in the comments for the next thirty minutes. Feel free to let me know what you thought about this episode. And if you enjoyed it, click the thumbs up. We get a lot of haters that are mad at how aggressive I am on these shows, but I do it so that we can all learn. We [14:32] have to counter those people. We got to push them away. Click the thumbs up below to counter them and know that I appreciate your guys'support. Alright, I'll be in the comments. See you.
Data and Sources
All figures on this page are taken directly from interviews or are estimates from public sources and proprietary models. Not financial advice. Read full disclaimer.
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