1 00:00:00,720 --> 00:00:01,480 Speaker 1: Kabbooms. 2 00:00:02,279 --> 00:00:05,400 Speaker 2: If you thought four hours a day, twelve hundred minutes 3 00:00:05,440 --> 00:00:09,200 Speaker 2: a week was enough, think again. He's the last remnants 4 00:00:09,200 --> 00:00:12,479 Speaker 2: of the old Republic, a soul fashion of fairness. He 5 00:00:12,600 --> 00:00:15,520 Speaker 2: treats crackheads in the ghetto gutter the same as the 6 00:00:15,640 --> 00:00:17,480 Speaker 2: rich pill poppers in the penthouse. 7 00:00:18,079 --> 00:00:18,439 Speaker 1: Wow. 8 00:00:18,600 --> 00:00:22,320 Speaker 2: The Clearinghouse of Hot takes break free for something special. 9 00:00:22,680 --> 00:00:29,080 Speaker 2: The Fifth Hour with Ben Maller starts right now in 10 00:00:29,200 --> 00:00:32,680 Speaker 2: the a everywhere. 11 00:00:33,640 --> 00:00:34,199 Speaker 1: Welcome in. 12 00:00:34,240 --> 00:00:37,360 Speaker 3: It is the Fifth Hour with Ben Mahler and Danny 13 00:00:37,440 --> 00:00:41,880 Speaker 3: g in the Audio Dojo. Because four hours a night 14 00:00:42,000 --> 00:00:46,879 Speaker 3: are not enough, so we do audio content eight days 15 00:00:46,920 --> 00:00:52,479 Speaker 3: a week here from the secret podcast studio somewhere deep 16 00:00:52,520 --> 00:00:54,959 Speaker 3: in the north Woods. Now I should point out that 17 00:00:55,160 --> 00:00:58,040 Speaker 3: while you have found this show, and you have downloaded 18 00:00:58,040 --> 00:00:59,880 Speaker 3: this show, you've subscribed to the show, and boy with 19 00:01:00,000 --> 00:01:04,440 Speaker 3: thank you for that. This show is a spin off, 20 00:01:04,440 --> 00:01:07,800 Speaker 3: of course, of the Overnight Show. But we are available 21 00:01:08,160 --> 00:01:10,880 Speaker 3: all over the place, the vast power of the iHeart 22 00:01:11,560 --> 00:01:15,039 Speaker 3: Broadcast Company, the global reach of podcasting and all that, 23 00:01:15,160 --> 00:01:18,720 Speaker 3: and this weekend's going to be slightly different. Now, how 24 00:01:18,800 --> 00:01:21,680 Speaker 3: is this weekend going to be slightly different? I'll explain 25 00:01:22,200 --> 00:01:24,520 Speaker 3: so normally I do do the show with Danny G. 26 00:01:24,760 --> 00:01:27,759 Speaker 3: But my man, Danny G is on Daddy G duty 27 00:01:28,000 --> 00:01:32,240 Speaker 3: as he is awaiting the pending arrival of his son. 28 00:01:32,600 --> 00:01:34,679 Speaker 3: We're very excited about that. We've talked about it a 29 00:01:34,680 --> 00:01:38,280 Speaker 3: lot on the podcast over the last last year or so, 30 00:01:38,600 --> 00:01:41,440 Speaker 3: and the big moment is about to arrive, and so 31 00:01:41,600 --> 00:01:47,200 Speaker 3: Danny's standing by to do his husband lee duties. So 32 00:01:47,240 --> 00:01:49,200 Speaker 3: we'll hear all about that when he gets back. So 33 00:01:49,240 --> 00:01:51,559 Speaker 3: he'll be away for at least the next couple of weeks. 34 00:01:51,560 --> 00:01:55,400 Speaker 3: So this weekend today we have what I think is 35 00:01:55,440 --> 00:01:59,640 Speaker 3: a fascinating conversation. I hope it turns out to be 36 00:01:59,640 --> 00:02:01,400 Speaker 3: a fast and in conversation. You will be the judge 37 00:02:01,400 --> 00:02:04,360 Speaker 3: of that ultimately about some new technology. Will tell you 38 00:02:04,400 --> 00:02:07,920 Speaker 3: about that involving the NFL and sports and world, you know, 39 00:02:07,960 --> 00:02:10,120 Speaker 3: the entire world and all that. So we'll get to 40 00:02:10,160 --> 00:02:12,720 Speaker 3: that coming up in a moment also this weekend on 41 00:02:13,040 --> 00:02:18,320 Speaker 3: tomorrow's podcast in the Sunday podcast, my man, we were 42 00:02:18,440 --> 00:02:22,720 Speaker 3: very lucky to get this guy because everyone wants him. 43 00:02:23,160 --> 00:02:27,200 Speaker 3: All the networks want this guy. His name is Alex 44 00:02:27,760 --> 00:02:30,079 Speaker 3: the Vegan. We call him Alex the Vegan. That's actually 45 00:02:30,080 --> 00:02:32,760 Speaker 3: not his legal name, but Alex one of the great 46 00:02:32,840 --> 00:02:37,720 Speaker 3: rising stars at the company, and he's very active on 47 00:02:37,800 --> 00:02:40,480 Speaker 3: things like TikTok and all that, and he's got his 48 00:02:40,560 --> 00:02:43,240 Speaker 3: own following in the anime world, like a big following, 49 00:02:43,240 --> 00:02:45,600 Speaker 3: and say, he's like blowing up. We won't be able 50 00:02:45,639 --> 00:02:47,240 Speaker 3: to get him eventually, but we got him. So he'll 51 00:02:47,280 --> 00:02:50,240 Speaker 3: be on not today, he'll be on Alex with us 52 00:02:50,760 --> 00:02:53,880 Speaker 3: on the Saturday and Sunday podcast, and we'll be able 53 00:02:53,880 --> 00:02:57,280 Speaker 3: to hang out if you have any vegan related questions, 54 00:02:57,320 --> 00:03:00,760 Speaker 3: although he had fallen off the vegan wagon, so there 55 00:03:00,840 --> 00:03:03,280 Speaker 3: is that, but we look forward to talking to Alex's 56 00:03:03,280 --> 00:03:05,720 Speaker 3: gonna be a good time with him this weekend and 57 00:03:05,800 --> 00:03:09,040 Speaker 3: be hanging out with us. But today also a fun time. 58 00:03:09,120 --> 00:03:13,120 Speaker 3: So I saw this viral video at the beginning of 59 00:03:13,120 --> 00:03:16,480 Speaker 3: the week and we talked about it on the radio show. 60 00:03:16,760 --> 00:03:21,440 Speaker 3: It was a robot that was painting the fields at 61 00:03:21,760 --> 00:03:25,480 Speaker 3: NFL training camp, and for some reason, I was like 62 00:03:25,600 --> 00:03:27,600 Speaker 3: fascinated by this. I was like because I was flashing 63 00:03:27,639 --> 00:03:32,680 Speaker 3: back to my youth, and I recall in high school 64 00:03:32,720 --> 00:03:34,960 Speaker 3: in particular. I don't know this happened when I was 65 00:03:35,000 --> 00:03:36,720 Speaker 3: doing like Little League and stuff like that. But I 66 00:03:36,760 --> 00:03:39,600 Speaker 3: remember in high school and we were getting ready for 67 00:03:39,680 --> 00:03:43,600 Speaker 3: games and we were practicing, and then the groundskeeper. We 68 00:03:43,640 --> 00:03:47,480 Speaker 3: had one dude that was a typical high school groundskeeper 69 00:03:48,040 --> 00:03:51,160 Speaker 3: back in my day, you know, a little overweight, disheveled, 70 00:03:51,640 --> 00:03:54,360 Speaker 3: good tan because the guy's outside all the time. Big 71 00:03:54,480 --> 00:03:59,400 Speaker 3: massive hat, massive sombrero type hat that the guy would wear, 72 00:03:59,520 --> 00:04:02,520 Speaker 3: and he would ride around on a golf like a 73 00:04:02,600 --> 00:04:05,280 Speaker 3: golf cart type thing, and he always had in the 74 00:04:05,400 --> 00:04:08,920 Speaker 3: back random tools for the field. But this guy spent 75 00:04:09,840 --> 00:04:14,040 Speaker 3: hours and hours assessing with the field, painting the field, 76 00:04:14,160 --> 00:04:17,039 Speaker 3: doing all that making it wonderful. So our high school 77 00:04:17,040 --> 00:04:19,839 Speaker 3: football team could go out and lose by fifty points. 78 00:04:19,920 --> 00:04:21,960 Speaker 3: Just wonderful memories. So I bring that up because I 79 00:04:21,960 --> 00:04:25,359 Speaker 3: saw this video of this robot that was painting the 80 00:04:25,360 --> 00:04:27,960 Speaker 3: field that wow, it kind of to paint the picture 81 00:04:28,240 --> 00:04:32,120 Speaker 3: for our blind listeners it and you probably wouldn't know 82 00:04:32,120 --> 00:04:34,680 Speaker 3: it's either, but it's like a rumba, a roomba, I 83 00:04:34,720 --> 00:04:37,160 Speaker 3: guess is what it's called. Kind of like that kind 84 00:04:37,200 --> 00:04:39,279 Speaker 3: of thing, which I guess if you're blind, you don't 85 00:04:39,279 --> 00:04:42,000 Speaker 3: know what that is either, But it's a it's a 86 00:04:42,000 --> 00:04:44,560 Speaker 3: little robot, a thing that goes up and down the 87 00:04:44,560 --> 00:04:48,240 Speaker 3: field obviously, and so I was like, I kind of 88 00:04:48,240 --> 00:04:49,440 Speaker 3: want to know more about this, and I did a 89 00:04:49,480 --> 00:04:52,119 Speaker 3: little Google search and I found some things and whatnot, 90 00:04:52,120 --> 00:04:54,480 Speaker 3: and then I had a light bulb. Golf, you ever 91 00:04:54,520 --> 00:04:56,800 Speaker 3: had this happen here, that light bulb that I don't 92 00:04:56,800 --> 00:04:58,600 Speaker 3: want to say, come to Jesus moment, but you had 93 00:04:58,600 --> 00:05:01,200 Speaker 3: the great epiphany. Don't even know if this qualifies as 94 00:05:01,200 --> 00:05:03,480 Speaker 3: a good epiphany, but I was like, this thing's kind 95 00:05:03,480 --> 00:05:03,840 Speaker 3: of cool. 96 00:05:04,080 --> 00:05:05,720 Speaker 1: I want to know details on it. 97 00:05:05,800 --> 00:05:09,040 Speaker 3: So boom, I realized, you know, I have this great 98 00:05:09,080 --> 00:05:13,920 Speaker 3: platform on the fifth hour that we can do more 99 00:05:14,040 --> 00:05:15,280 Speaker 3: long form things. 100 00:05:16,080 --> 00:05:19,360 Speaker 1: We do not have to be beholden to the normal 101 00:05:19,560 --> 00:05:25,240 Speaker 1: restraints of the terrestrial radio show and Plus listen overnight. 102 00:05:25,839 --> 00:05:29,880 Speaker 3: As you know, we take a lot of calls from zany, 103 00:05:30,160 --> 00:05:33,760 Speaker 3: wacky callers. Some say they're on the spectrum that's up 104 00:05:33,800 --> 00:05:36,320 Speaker 3: for you to decide. They seem to be having a 105 00:05:36,320 --> 00:05:38,119 Speaker 3: good time with people call the show. But we don't 106 00:05:38,120 --> 00:05:41,360 Speaker 3: do interviews on the overnight show because it's a caller 107 00:05:41,440 --> 00:05:44,080 Speaker 3: driven it's me barking doing monologues and all that. But 108 00:05:44,120 --> 00:05:47,280 Speaker 3: on the fifth hour we are able to expand our 109 00:05:47,320 --> 00:05:52,240 Speaker 3: horizons and see a whole new world that is out there, 110 00:05:53,080 --> 00:05:58,320 Speaker 3: and I tracked down with help. Wasn't all me, but 111 00:05:58,360 --> 00:06:00,800 Speaker 3: I had some help here. I was able to track 112 00:06:00,880 --> 00:06:03,800 Speaker 3: down the man, one of the big shots here at 113 00:06:03,839 --> 00:06:06,159 Speaker 3: this company. The company, by the way, is called turf Tank. 114 00:06:06,640 --> 00:06:09,600 Speaker 3: That's the name of the company, and they've been around 115 00:06:09,680 --> 00:06:13,200 Speaker 3: for a few years, but they're starting to blow up 116 00:06:13,279 --> 00:06:17,159 Speaker 3: now and they are the ones behind this product that 117 00:06:17,360 --> 00:06:21,000 Speaker 3: is called, appropriately enough, turf Tank. And so we're going 118 00:06:21,080 --> 00:06:23,520 Speaker 3: to be joined here in a minute by Ryan Stuby. 119 00:06:24,120 --> 00:06:28,720 Speaker 3: Ryan is a vice president, does some marketing, some sales 120 00:06:28,720 --> 00:06:31,359 Speaker 3: here at turf Tank, and he's going to give us 121 00:06:31,400 --> 00:06:35,960 Speaker 3: the complete and total inside skinny everything you need to 122 00:06:36,000 --> 00:06:38,160 Speaker 3: know and even things you probably didn't need to know 123 00:06:38,680 --> 00:06:42,760 Speaker 3: about this product. But again I am I'm fired up 124 00:06:42,760 --> 00:06:44,040 Speaker 3: because I want to hear all about it. 125 00:06:44,920 --> 00:06:45,440 Speaker 1: I love it. 126 00:06:45,480 --> 00:06:49,240 Speaker 3: I'm not against the technology now. I am against technology 127 00:06:49,279 --> 00:06:52,040 Speaker 3: that takes shops. This does not appear to be something 128 00:06:52,080 --> 00:06:54,320 Speaker 3: that's going to take someone's jobs. I think we're all 129 00:06:54,320 --> 00:06:57,839 Speaker 3: concerned about that, right AI. And oh no, you know, 130 00:06:57,839 --> 00:07:01,320 Speaker 3: eventually all these radio shows will be done by robots, 131 00:07:02,000 --> 00:07:04,120 Speaker 3: but not yet. But this is this is about the 132 00:07:04,120 --> 00:07:08,160 Speaker 3: paint on the field. So we welcome in now man 133 00:07:08,160 --> 00:07:12,440 Speaker 3: who's gonna give us all the inside skinny from turf Tank, 134 00:07:12,600 --> 00:07:13,640 Speaker 3: Ryan Stuby. 135 00:07:13,720 --> 00:07:14,760 Speaker 1: Ryan, welcome. 136 00:07:15,000 --> 00:07:17,200 Speaker 3: Good to have you here on the Fifth Hour with 137 00:07:17,320 --> 00:07:20,440 Speaker 3: Ben Mallar podcast. And so the first thing I think 138 00:07:20,440 --> 00:07:23,400 Speaker 3: we should start with this how does it work? Is 139 00:07:23,440 --> 00:07:27,280 Speaker 3: this a set it and forget it situation when it 140 00:07:27,320 --> 00:07:30,760 Speaker 3: comes to the robot on a football field. 141 00:07:31,480 --> 00:07:33,880 Speaker 4: Yeah, that's a great question, Ben. First off, I wanted 142 00:07:33,920 --> 00:07:36,480 Speaker 4: to thank you and your team for this opportunity. You know, 143 00:07:36,560 --> 00:07:39,240 Speaker 4: we're certainly honored to be a part of the show 144 00:07:39,320 --> 00:07:41,920 Speaker 4: and just very excited not only here in the US, 145 00:07:41,960 --> 00:07:44,760 Speaker 4: but for our for our team globally as well. But yeah, 146 00:07:44,880 --> 00:07:46,960 Speaker 4: I mean to ask for your answer your question there, 147 00:07:47,080 --> 00:07:51,520 Speaker 4: you know, to keep saying simple, the product makeup of 148 00:07:51,600 --> 00:07:56,400 Speaker 4: this is a mixture between a proprietary software and hardware technology, 149 00:07:56,920 --> 00:08:00,960 Speaker 4: and the hardware components being the tap with the software, 150 00:08:01,280 --> 00:08:04,520 Speaker 4: the robots, as well as a base station which is 151 00:08:04,720 --> 00:08:08,280 Speaker 4: really set there to ensure the accuracy of the painting. 152 00:08:08,400 --> 00:08:11,280 Speaker 4: So basically what will happen is is our customers will 153 00:08:11,320 --> 00:08:13,280 Speaker 4: they'll set up the equipment, so they'll set up this 154 00:08:13,400 --> 00:08:17,920 Speaker 4: base station, they choose which field layout and sport type 155 00:08:17,920 --> 00:08:21,800 Speaker 4: they want on the appy and then we basically mark 156 00:08:21,840 --> 00:08:23,880 Speaker 4: a couple points on the field and then from there 157 00:08:24,200 --> 00:08:25,920 Speaker 4: the robot does this job autonomously. 158 00:08:26,800 --> 00:08:30,240 Speaker 1: So I looked up a little information on the internet. 159 00:08:30,240 --> 00:08:32,040 Speaker 3: You guys have been around for a couple of years, right, 160 00:08:32,080 --> 00:08:35,080 Speaker 3: but this is a relatively new product. I had not seen, 161 00:08:35,120 --> 00:08:37,520 Speaker 3: as I said, before the last week or so. But 162 00:08:37,559 --> 00:08:39,079 Speaker 3: you guys have been around. The company's been around for 163 00:08:39,080 --> 00:08:41,400 Speaker 3: a couple of years. Is that correct? How who started it? 164 00:08:42,480 --> 00:08:44,719 Speaker 4: Yeah, that's a great question. So yeah, so we've been 165 00:08:44,760 --> 00:08:50,120 Speaker 4: around since around twenty fifteen, where the product was really 166 00:08:50,120 --> 00:08:53,800 Speaker 4: first developed and the technology introduced into the sports field 167 00:08:53,840 --> 00:08:57,040 Speaker 4: line marketing world. But that actually occurred in Denmark, so 168 00:08:57,120 --> 00:08:59,960 Speaker 4: at that time it was only available to some customers 169 00:09:00,240 --> 00:09:03,760 Speaker 4: in Europe, specifically Denmark, and then really has it's made 170 00:09:03,800 --> 00:09:07,440 Speaker 4: its way to the US around twenty seventeen, where turf 171 00:09:07,440 --> 00:09:10,520 Speaker 4: Tank was the brand and the product was really introduced 172 00:09:10,520 --> 00:09:12,560 Speaker 4: here in the States. But you know, as far as 173 00:09:12,760 --> 00:09:15,880 Speaker 4: growth for us in the US, it's really occurred over 174 00:09:15,880 --> 00:09:18,080 Speaker 4: the last two and a half years. I mean, we've 175 00:09:18,120 --> 00:09:21,920 Speaker 4: expanded our team dramatically in all aspects of the company, 176 00:09:21,960 --> 00:09:25,880 Speaker 4: from you know, product development to operations and really grow 177 00:09:25,880 --> 00:09:28,160 Speaker 4: in our salesforce primarily. 178 00:09:28,040 --> 00:09:30,480 Speaker 3: Well and as far as the the NFL angle to it, 179 00:09:30,520 --> 00:09:34,320 Speaker 3: because that's what that got my attention this week. I 180 00:09:34,360 --> 00:09:37,079 Speaker 3: know the NFL can be slow to adapt to two 181 00:09:37,120 --> 00:09:39,080 Speaker 3: different technology and things like that. 182 00:09:39,200 --> 00:09:41,199 Speaker 1: They usually wait a while to get in on it. 183 00:09:41,280 --> 00:09:44,920 Speaker 3: But what what was the process like to convince some 184 00:09:45,160 --> 00:09:48,560 Speaker 3: NFL teams to use this thing? Because it's you know, 185 00:09:48,600 --> 00:09:50,880 Speaker 3: it's it's obviously it appears to be very effective, but 186 00:09:51,120 --> 00:09:56,240 Speaker 3: the NFL does not like to go out in uncharted waters. 187 00:09:56,240 --> 00:09:57,959 Speaker 1: Shall we say, so, how did that work? 188 00:09:59,000 --> 00:10:01,200 Speaker 4: Yeah, it's a great question. I think you're spot on there. 189 00:10:01,440 --> 00:10:04,000 Speaker 4: Now I will say it's, uh, it's taken us time. 190 00:10:04,200 --> 00:10:06,280 Speaker 4: I think there's no doubt about that. You know, when 191 00:10:06,280 --> 00:10:09,200 Speaker 4: you think of an NFL organization, you know, and the 192 00:10:09,240 --> 00:10:12,200 Speaker 4: resources that they have, you know we're talking. You know, 193 00:10:12,200 --> 00:10:15,760 Speaker 4: they've got personnel, they've got financial, financial resources, they've got 194 00:10:15,800 --> 00:10:18,439 Speaker 4: all the equipment right, so they don't really have those 195 00:10:18,520 --> 00:10:21,640 Speaker 4: same problems and struggles as you would say maybe the 196 00:10:22,160 --> 00:10:25,600 Speaker 4: lower sports organizations. Do you know, they've got large ground 197 00:10:25,600 --> 00:10:28,600 Speaker 4: crews who all day, every day, you know, work on 198 00:10:28,840 --> 00:10:31,320 Speaker 4: maintaining their fields and making sure that their playing services 199 00:10:31,400 --> 00:10:34,240 Speaker 4: are in the best possible shape. So you know, now, 200 00:10:34,280 --> 00:10:37,080 Speaker 4: I do believe over the last couple of years, you know, 201 00:10:37,160 --> 00:10:42,359 Speaker 4: we've seen those resources change in somewhat of these organizations. 202 00:10:42,400 --> 00:10:44,200 Speaker 4: I mean even at the NFL level, right, I mean 203 00:10:44,240 --> 00:10:46,480 Speaker 4: I think clubs or I think these organizations are really 204 00:10:46,520 --> 00:10:50,640 Speaker 4: looking for ways to be more efficient in their own processes, right, 205 00:10:50,720 --> 00:10:53,800 Speaker 4: I mean when you think of facilities, teams and grounds 206 00:10:53,880 --> 00:10:57,040 Speaker 4: crews like their their to do lists continue to grow, right, 207 00:10:57,320 --> 00:11:00,000 Speaker 4: but their resources do not. So now I think there's 208 00:11:00,080 --> 00:11:03,560 Speaker 4: starting to, you know, understand that our product can be 209 00:11:03,720 --> 00:11:05,960 Speaker 4: a compliment to what they do, right, I mean, there's 210 00:11:06,000 --> 00:11:08,840 Speaker 4: so many things that are on their plate. They bring 211 00:11:08,880 --> 00:11:11,079 Speaker 4: in the robot, they let the robot kind of assist 212 00:11:11,120 --> 00:11:14,320 Speaker 4: them in that operation, and they're fully comfortable with you know, 213 00:11:14,360 --> 00:11:17,559 Speaker 4: the precision and the accuracy and even an improved quality 214 00:11:17,800 --> 00:11:19,840 Speaker 4: that they may not be able to accomplish, you know, 215 00:11:19,880 --> 00:11:23,160 Speaker 4: with with a manual machine or in those existing resources. 216 00:11:24,440 --> 00:11:26,960 Speaker 3: Very cool and Ryan, how many roughly how many NFL 217 00:11:27,000 --> 00:11:28,920 Speaker 3: teams are using this? I know there's a couple at 218 00:11:29,000 --> 00:11:31,160 Speaker 3: least right that using Yeah. 219 00:11:31,720 --> 00:11:34,680 Speaker 4: Yes, exactly, So we're right around a half dozen or 220 00:11:34,720 --> 00:11:38,560 Speaker 4: so NFL teams we got obviously, you know the Jacksonville Jaguars, 221 00:11:39,120 --> 00:11:42,760 Speaker 4: We've got Raymond James Stadium down in Tampa, the Seahawks, 222 00:11:42,800 --> 00:11:44,679 Speaker 4: and the Bengals to kind of name a few, and 223 00:11:45,000 --> 00:11:47,160 Speaker 4: hopefully that list will grow. What's kind of funny, as 224 00:11:47,200 --> 00:11:52,000 Speaker 4: I just saw on Twitter today Josh Allen talking about 225 00:11:52,440 --> 00:11:55,840 Speaker 4: his high school actually is buying a robot. So they 226 00:11:55,920 --> 00:11:59,120 Speaker 4: did a big fundraiser with Josh Allen and they're actually 227 00:11:59,120 --> 00:12:01,960 Speaker 4: going to use the money for surfing. So it was 228 00:12:02,120 --> 00:12:04,080 Speaker 4: new news to us, which we're really excited about. 229 00:12:04,480 --> 00:12:06,480 Speaker 3: Very cool, and it's also you guys have done a 230 00:12:06,480 --> 00:12:09,320 Speaker 3: bunch of college right, big college programs have used this 231 00:12:09,400 --> 00:12:12,079 Speaker 3: as well, so you you've grown in that area. 232 00:12:12,679 --> 00:12:15,040 Speaker 1: What are some of the colleges that have signed up 233 00:12:15,080 --> 00:12:15,560 Speaker 1: for the robot? 234 00:12:15,720 --> 00:12:19,480 Speaker 4: Yeah, so we're all over at the Division one level. 235 00:12:19,480 --> 00:12:22,640 Speaker 4: I mean, we've got some teams in the SEC, Big ten, ACC, 236 00:12:23,520 --> 00:12:28,920 Speaker 4: PAC twelve. We've got Alabama, Michigan, Clemson, Kentucky. Duke is 237 00:12:28,920 --> 00:12:32,439 Speaker 4: another big user for us. So yeah, we're definitely starting 238 00:12:32,480 --> 00:12:36,080 Speaker 4: to get more exposure at that high level. We've noticed 239 00:12:36,120 --> 00:12:38,960 Speaker 4: that there always been kind of like you know, the 240 00:12:39,040 --> 00:12:42,280 Speaker 4: NFL teams with all the resources at hand, but now 241 00:12:42,280 --> 00:12:44,920 Speaker 4: they're really starting to take advantage of the technology, which 242 00:12:44,920 --> 00:12:45,360 Speaker 4: is awesome. 243 00:12:45,559 --> 00:12:45,800 Speaker 1: Yeah. 244 00:12:45,800 --> 00:12:47,920 Speaker 3: So again to go back and you talked about how 245 00:12:47,960 --> 00:12:50,719 Speaker 3: it works, and so you have a tablet, you kind 246 00:12:50,720 --> 00:12:53,680 Speaker 3: of put everything in there and then it just set 247 00:12:53,720 --> 00:12:56,040 Speaker 3: it and forget it. And how much how much time 248 00:12:56,120 --> 00:12:58,480 Speaker 3: does this thing? Because it looks pretty wild. I watched 249 00:12:58,520 --> 00:13:00,200 Speaker 3: the I Gues said, I watched the clip and looks 250 00:13:00,200 --> 00:13:02,760 Speaker 3: pretty crazy how effective it is. But how much time 251 00:13:02,840 --> 00:13:05,280 Speaker 3: can be saved by using this as opposed to and 252 00:13:05,400 --> 00:13:07,440 Speaker 3: I remember when I was when I was a kid 253 00:13:08,000 --> 00:13:10,720 Speaker 3: in high school and stuff, how much time the groundskeeper 254 00:13:10,800 --> 00:13:13,319 Speaker 3: spent to get the field ready for our games and stuff. 255 00:13:13,360 --> 00:13:16,240 Speaker 1: So how quick does this thing actually work? 256 00:13:16,960 --> 00:13:20,480 Speaker 4: Yeah? Absolutely So for a football field, you are looking 257 00:13:20,480 --> 00:13:24,079 Speaker 4: at around three and a half hours to paint everything. 258 00:13:24,600 --> 00:13:28,120 Speaker 4: And I mean some of our customers spend a half 259 00:13:28,160 --> 00:13:30,680 Speaker 4: a day on Thursday and then they finish up on 260 00:13:30,800 --> 00:13:33,480 Speaker 4: Friday right when they're doing it manually just because they 261 00:13:33,520 --> 00:13:36,319 Speaker 4: don't have the you know, the resources that need to 262 00:13:36,360 --> 00:13:38,800 Speaker 4: be able to knock it out quickly. Right, So we're 263 00:13:38,840 --> 00:13:41,760 Speaker 4: saving our customers a ton of times. One of also 264 00:13:41,840 --> 00:13:45,320 Speaker 4: the biggest value adds for the product is the paint savings, right, 265 00:13:45,400 --> 00:13:49,880 Speaker 4: So our system has a controlled sprayer, so the paint 266 00:13:49,960 --> 00:13:52,800 Speaker 4: is coming out the same flow every single time. So 267 00:13:53,120 --> 00:13:57,400 Speaker 4: they're able to save around fifty percent of the paint consumption. 268 00:13:57,559 --> 00:13:59,640 Speaker 4: So you're looking at around I would say five and 269 00:13:59,679 --> 00:14:01,680 Speaker 4: a half gallons of paint that they'll use for a 270 00:14:01,720 --> 00:14:04,880 Speaker 4: full football team, where they're probably today using double back. 271 00:14:05,760 --> 00:14:08,640 Speaker 3: Now this thing paints the lines? Does it also? I 272 00:14:08,720 --> 00:14:11,959 Speaker 3: know those end zone the logos and the end zone. 273 00:14:12,000 --> 00:14:14,640 Speaker 3: Is it able to do that? Is that advanced enough 274 00:14:14,720 --> 00:14:15,839 Speaker 3: or are you still waiting on that? 275 00:14:17,120 --> 00:14:21,280 Speaker 4: Absolutely? So the robot can paint you know, numbers, It 276 00:14:21,360 --> 00:14:24,720 Speaker 4: can paint end zone texts, it can paint logos at 277 00:14:24,760 --> 00:14:28,400 Speaker 4: the center field. It can do just about anything that 278 00:14:28,480 --> 00:14:32,360 Speaker 4: requires painting on you know, a artificial graphs or even 279 00:14:32,400 --> 00:14:35,160 Speaker 4: turf so or turf in natural graph Wow. 280 00:14:35,320 --> 00:14:38,120 Speaker 3: So so like those those nice logos at midfield and 281 00:14:38,160 --> 00:14:40,320 Speaker 3: all that and the end zone, this thing's able to do. 282 00:14:40,400 --> 00:14:44,000 Speaker 1: That's wild to me that this thing, Yes, that's crazy. 283 00:14:44,600 --> 00:14:45,440 Speaker 1: How does that work? 284 00:14:46,080 --> 00:14:48,160 Speaker 3: You put you must put a photo or something in 285 00:14:48,160 --> 00:14:49,160 Speaker 3: the tablet to show it with. 286 00:14:49,320 --> 00:14:50,920 Speaker 1: I mean, that's wild to me that they can paint 287 00:14:50,960 --> 00:14:52,520 Speaker 1: those logos. Crazy. 288 00:14:52,560 --> 00:14:55,480 Speaker 4: Yeah, great, question there, So there is. It is kind 289 00:14:55,480 --> 00:14:57,760 Speaker 4: of an upgrade when it comes. You know, our top 290 00:14:57,800 --> 00:15:02,120 Speaker 4: customers have access to our logo feature. But currently right now, 291 00:15:02,160 --> 00:15:04,800 Speaker 4: there is a little bit of development work that we 292 00:15:04,880 --> 00:15:06,680 Speaker 4: do on our end to be able to kind of 293 00:15:06,720 --> 00:15:10,560 Speaker 4: get that logo into a into a language to where 294 00:15:10,600 --> 00:15:13,080 Speaker 4: the software can actually read it and we can build 295 00:15:13,080 --> 00:15:15,680 Speaker 4: a route for it. But yeah, I mean, majority of 296 00:15:15,720 --> 00:15:18,560 Speaker 4: logos we can do. There's definitely some more complex ones 297 00:15:18,560 --> 00:15:21,000 Speaker 4: out there to where the robot struggles with some things, 298 00:15:21,040 --> 00:15:23,960 Speaker 4: but overall, I mean we can. We can pump out 299 00:15:23,960 --> 00:15:26,400 Speaker 4: a ton of logos, which is really really cool for 300 00:15:26,920 --> 00:15:27,880 Speaker 4: some of these schools. 301 00:15:28,320 --> 00:15:31,040 Speaker 1: Yeah, I know, it's it's it's awesome for sure. 302 00:15:31,080 --> 00:15:33,520 Speaker 3: I mean I can't believe it's able that the technology 303 00:15:33,560 --> 00:15:37,080 Speaker 3: is even there to do it. And you mentioned mentioned 304 00:15:37,320 --> 00:15:41,280 Speaker 3: people hear robots, Ryan and the immediate thing, and we 305 00:15:41,320 --> 00:15:43,240 Speaker 3: all think, oh, you know, all those our jobs and 306 00:15:43,280 --> 00:15:46,080 Speaker 3: all that. But you guys have kind of said I've 307 00:15:46,160 --> 00:15:47,640 Speaker 3: said some I've seen some of the stuff you guys, 308 00:15:47,680 --> 00:15:51,640 Speaker 3: but this is actually not it's not taking groundskeepers jobs, right, 309 00:15:51,680 --> 00:15:54,640 Speaker 3: and it's just something in theory. This is enhancing, as 310 00:15:54,640 --> 00:15:58,080 Speaker 3: you said, not taking away, even though it's the most 311 00:15:58,120 --> 00:16:03,080 Speaker 3: advanced robot techn it's helping, not not necessarily taking people away, 312 00:16:03,080 --> 00:16:03,680 Speaker 3: is that correct? 313 00:16:04,440 --> 00:16:07,640 Speaker 4: Great question and short answer to that is, it's absolutely 314 00:16:07,840 --> 00:16:11,240 Speaker 4: not taking away jobs. You know. I think everybody still 315 00:16:11,280 --> 00:16:13,760 Speaker 4: has that feeling, you know, when we're approaching them, especially 316 00:16:13,800 --> 00:16:16,320 Speaker 4: the ones who are actually painting the fields right they're 317 00:16:16,440 --> 00:16:19,560 Speaker 4: they're a little bit hesitant. I asked the same questions 318 00:16:19,600 --> 00:16:21,840 Speaker 4: myself when I, you know, started with a company about 319 00:16:21,840 --> 00:16:23,680 Speaker 4: three and a half years ago. Is hen, are we 320 00:16:23,720 --> 00:16:25,920 Speaker 4: really going to be just kind of taking people's jobs? 321 00:16:25,920 --> 00:16:27,800 Speaker 4: And that the answer is no. You know that the 322 00:16:27,920 --> 00:16:31,560 Speaker 4: robot still requires you know, an operator to set things up, 323 00:16:31,680 --> 00:16:35,160 Speaker 4: to mix paint, to add paint to the robot, to 324 00:16:35,240 --> 00:16:39,120 Speaker 4: operate the software, right so that individual still needs to 325 00:16:39,760 --> 00:16:42,400 Speaker 4: be involved with the whole operation right now. What it 326 00:16:42,440 --> 00:16:45,120 Speaker 4: does do is, just like you said, it really frees 327 00:16:45,160 --> 00:16:47,880 Speaker 4: up these individuals to be you know, more efficient, but 328 00:16:47,920 --> 00:16:49,560 Speaker 4: then also frees them up to be able to do 329 00:16:49,640 --> 00:16:53,040 Speaker 4: other more important things that they're responsible for. Again, I 330 00:16:53,360 --> 00:16:56,520 Speaker 4: think eliminating a person's role has never been the intention 331 00:16:56,720 --> 00:16:59,080 Speaker 4: for us and never will be. You know, our mission 332 00:16:59,400 --> 00:17:02,200 Speaker 4: really as a company is we exist to make the 333 00:17:02,240 --> 00:17:05,200 Speaker 4: lives of sports field managers easier, and the robot is 334 00:17:05,240 --> 00:17:06,040 Speaker 4: one way I'm doing that. 335 00:17:06,840 --> 00:17:10,399 Speaker 3: How did this affect businesses? I mean, so I saw it. 336 00:17:10,600 --> 00:17:12,600 Speaker 3: I had not heard of turf tank. I saw it, 337 00:17:12,640 --> 00:17:14,920 Speaker 3: as I said, the NFL training camp a couple of 338 00:17:15,200 --> 00:17:17,639 Speaker 3: days back, early in the week. There's some video that 339 00:17:17,720 --> 00:17:20,359 Speaker 3: came out, and so I got curious and I started 340 00:17:20,400 --> 00:17:22,240 Speaker 3: kind of looking some stuff up, and that's how we 341 00:17:22,359 --> 00:17:26,760 Speaker 3: ended up talking Ryan. But uh, yeah, how how's business matter? 342 00:17:26,960 --> 00:17:29,240 Speaker 3: I assume the publicity this has actually been good. It's 343 00:17:29,280 --> 00:17:30,040 Speaker 3: been a good week for you. 344 00:17:29,960 --> 00:17:35,480 Speaker 4: Guys, right, Yeah, it definitely has. Yeah, We've we've we've 345 00:17:35,520 --> 00:17:37,840 Speaker 4: had a lot of exposure, you know, over the last 346 00:17:37,880 --> 00:17:40,560 Speaker 4: couple of weeks. And and also you know, with football starting, 347 00:17:40,600 --> 00:17:42,880 Speaker 4: I mean you think about you know, all these schools 348 00:17:42,880 --> 00:17:45,240 Speaker 4: across the country or starting to go back to school 349 00:17:45,240 --> 00:17:47,679 Speaker 4: and getting their football fields ready for Friday night lights 350 00:17:47,760 --> 00:17:50,920 Speaker 4: and you know, Saturday football games. Right, So the exposure 351 00:17:50,960 --> 00:17:54,280 Speaker 4: for us over the last few weeks has been really awesome. 352 00:17:54,960 --> 00:17:58,359 Speaker 4: I mean, we've we've continued to grow quite you know, 353 00:17:58,480 --> 00:18:01,160 Speaker 4: quite aggressively over the past few years. I mean, we've 354 00:18:01,200 --> 00:18:05,040 Speaker 4: got roughly sixteen hundred customers here in the United States 355 00:18:05,040 --> 00:18:08,080 Speaker 4: and about two thousand globally and within about seven or 356 00:18:08,240 --> 00:18:12,320 Speaker 4: eight different countries. So we're excited about the future. You know, 357 00:18:12,359 --> 00:18:16,119 Speaker 4: we're we're trying to pump out new products. We're continuing 358 00:18:16,119 --> 00:18:19,159 Speaker 4: to evolve and innovate and trying to just you know, 359 00:18:19,359 --> 00:18:22,080 Speaker 4: improve the lives again for our sports field managers. 360 00:18:22,720 --> 00:18:24,399 Speaker 1: Well, the other thing too ryan about this. 361 00:18:24,440 --> 00:18:26,960 Speaker 3: I mean people see this, you know, robot, and they're like, Okay, 362 00:18:27,000 --> 00:18:29,080 Speaker 3: it's gonna be very expensive. I'm sure it is not cheap, 363 00:18:29,160 --> 00:18:32,639 Speaker 3: but is this I would assume you're opened, uh, not 364 00:18:32,880 --> 00:18:36,760 Speaker 3: just the big time players, but also the smaller like 365 00:18:36,880 --> 00:18:38,679 Speaker 3: high schools and stuff like that. Are they able to 366 00:18:38,680 --> 00:18:41,080 Speaker 3: get access to this? Is there a price point that 367 00:18:41,160 --> 00:18:42,800 Speaker 3: could be reasonable for those guys? 368 00:18:45,359 --> 00:18:49,399 Speaker 4: So right now, I mean around fifty six percent of 369 00:18:49,440 --> 00:18:53,479 Speaker 4: our customers are actually within we call it the education sector, right, 370 00:18:53,520 --> 00:18:56,040 Speaker 4: so you're looking at high schools, you're looking at small 371 00:18:56,080 --> 00:18:59,720 Speaker 4: colleges or you know, colleges and universities. So we do 372 00:19:00,920 --> 00:19:04,840 Speaker 4: there are two different ways to acquire the robot. Previously, 373 00:19:05,000 --> 00:19:07,320 Speaker 4: back when the company first started, you would only be 374 00:19:07,400 --> 00:19:10,280 Speaker 4: able to purchase the equipment and it was expensive. It 375 00:19:10,320 --> 00:19:13,160 Speaker 4: still is expensive to do it outright Now, what we've 376 00:19:13,200 --> 00:19:15,480 Speaker 4: implemented about two years or two and a half three 377 00:19:15,560 --> 00:19:18,359 Speaker 4: years ago was a subscription model. So what we've done 378 00:19:18,440 --> 00:19:22,679 Speaker 4: is we've really lowered that barrier of entry for our customers, 379 00:19:22,920 --> 00:19:26,760 Speaker 4: which now opens that up to a lot more organizations 380 00:19:26,760 --> 00:19:29,919 Speaker 4: that can be able to afford this type of technology 381 00:19:29,960 --> 00:19:32,280 Speaker 4: because it's it's needed. It's needed at all levels, right, 382 00:19:32,359 --> 00:19:35,879 Speaker 4: so it's definitely an affordable piece of equipment. Around eighty 383 00:19:35,920 --> 00:19:40,520 Speaker 4: five percent of our customers today are doing our subscription model, 384 00:19:40,560 --> 00:19:44,160 Speaker 4: so most are going that route, which is an annual fee. 385 00:19:44,520 --> 00:19:44,920 Speaker 1: Yeah. 386 00:19:44,960 --> 00:19:48,520 Speaker 3: And is it true that this turf take which I 387 00:19:48,600 --> 00:19:52,399 Speaker 3: saw for painting NFL films or NFL fields and whatnot, 388 00:19:52,680 --> 00:19:54,960 Speaker 3: that it also can do like parking lots? Is that 389 00:19:55,760 --> 00:19:57,879 Speaker 3: is that correct that this technology can be used in 390 00:19:57,920 --> 00:19:58,520 Speaker 3: parking lots? 391 00:19:59,720 --> 00:20:00,000 Speaker 1: Yeah? 392 00:20:00,160 --> 00:20:04,160 Speaker 4: Yes, and no, it definitely can paint a parking lot. Now, 393 00:20:04,200 --> 00:20:06,600 Speaker 4: the one thing with parking lot is it's actually a 394 00:20:06,640 --> 00:20:08,959 Speaker 4: different type of paint, so it's a lot thicker that 395 00:20:09,040 --> 00:20:14,800 Speaker 4: lasts longer, which isn't truly supported with our existing robot today. 396 00:20:15,160 --> 00:20:19,240 Speaker 4: But that's again another piece of technology that we're going 397 00:20:19,320 --> 00:20:22,119 Speaker 4: to continue to work on and hopefully have a product 398 00:20:22,160 --> 00:20:25,680 Speaker 4: that is meant specifically for painting on those hard surfaces. 399 00:20:25,880 --> 00:20:27,679 Speaker 3: Yeah, and then the next one, I guess you'd have 400 00:20:27,720 --> 00:20:30,000 Speaker 3: to do basketball right now, that's hard, right because that's 401 00:20:30,440 --> 00:20:32,000 Speaker 3: I mean, I don't know how you would even pull 402 00:20:32,040 --> 00:20:34,679 Speaker 3: that off in basketball. 403 00:20:34,040 --> 00:20:37,960 Speaker 4: But yeah, exactly, I'm a big basketball guy. That's that's 404 00:20:38,280 --> 00:20:41,040 Speaker 4: that's my sport, so I'm constantly asking for it. But yeah, 405 00:20:41,359 --> 00:20:44,520 Speaker 4: that would be a completely different type of operation for 406 00:20:44,640 --> 00:20:48,440 Speaker 4: us right now. We you know, indoors isn't something that 407 00:20:48,520 --> 00:20:51,800 Speaker 4: we are just due to the technology and the GPS, 408 00:20:51,840 --> 00:20:55,360 Speaker 4: and we're not really painting indoors right now for anything, 409 00:20:55,760 --> 00:20:58,080 Speaker 4: which hopefully over time that'll that'll change as well. 410 00:20:58,840 --> 00:21:02,120 Speaker 1: Yeah, I'm curious, do you know roughly how much pain 411 00:21:02,200 --> 00:21:05,439 Speaker 1: it takes to put down on a football field? 412 00:21:05,560 --> 00:21:07,840 Speaker 3: Like you know, how much? How many gallons of pain 413 00:21:07,880 --> 00:21:09,560 Speaker 3: are we talking about? It must be a ton, I 414 00:21:09,560 --> 00:21:10,040 Speaker 3: would think. 415 00:21:10,760 --> 00:21:13,680 Speaker 4: Yeah, Actually, you're again, you're you're looking at around five 416 00:21:13,720 --> 00:21:16,480 Speaker 4: and a half gallons of paint to do an entire 417 00:21:16,560 --> 00:21:21,439 Speaker 4: football field. What customers are usually doing today manually is 418 00:21:22,040 --> 00:21:23,240 Speaker 4: double that, if not more. 419 00:21:23,920 --> 00:21:26,880 Speaker 1: Okay, I got you? All right? All very cool? 420 00:21:27,320 --> 00:21:29,400 Speaker 3: All right, Well Ryan, thing, how can people find more 421 00:21:29,400 --> 00:21:31,920 Speaker 3: information out about this? You guys have a website or 422 00:21:31,960 --> 00:21:34,119 Speaker 3: something that somebody's listening. Maybe they're like, hey, I work 423 00:21:34,160 --> 00:21:35,600 Speaker 3: at a high school, maybe we can get this at 424 00:21:35,640 --> 00:21:36,040 Speaker 3: our school. 425 00:21:36,040 --> 00:21:38,080 Speaker 1: How can they contact you guys. 426 00:21:38,560 --> 00:21:41,679 Speaker 4: Yeah, absolutely, So we're really everywhere on all all the 427 00:21:41,720 --> 00:21:44,680 Speaker 4: different social platforms. We've got a website, so it's turf 428 00:21:44,800 --> 00:21:48,080 Speaker 4: tank dot com. We've got plenty of locations on our 429 00:21:48,080 --> 00:21:49,760 Speaker 4: website to where you can kind of fill out a 430 00:21:49,800 --> 00:21:51,840 Speaker 4: form and we'll get in touch with you right away. 431 00:21:52,119 --> 00:21:54,919 Speaker 4: We've got reps that are located across the across the 432 00:21:55,000 --> 00:21:57,680 Speaker 4: US that actually go visit some of our prospects and 433 00:21:58,000 --> 00:21:59,960 Speaker 4: we do demos for them so they can actually see 434 00:22:00,080 --> 00:22:02,440 Speaker 4: it on their field and there's just a different there's 435 00:22:02,480 --> 00:22:04,439 Speaker 4: a different wow factor of what I call it, you know, 436 00:22:04,480 --> 00:22:06,840 Speaker 4: seeing it in person on your own field and you know, 437 00:22:06,880 --> 00:22:09,040 Speaker 4: seeing a video like you did or a picture. So 438 00:22:09,440 --> 00:22:11,200 Speaker 4: please get a hold of us. We'd love to come 439 00:22:11,240 --> 00:22:12,600 Speaker 4: out and paint a field for you. 440 00:22:13,040 --> 00:22:15,480 Speaker 3: And as you said, Ron, not just you know, obviously 441 00:22:15,480 --> 00:22:17,639 Speaker 3: you deal in the United States, but you guys are 442 00:22:17,640 --> 00:22:19,960 Speaker 3: a global company, right You got people all over the place, 443 00:22:20,040 --> 00:22:21,040 Speaker 3: not just here, all. 444 00:22:20,920 --> 00:22:24,560 Speaker 4: Over absolutely absolutely, So we've got operations right now in 445 00:22:24,600 --> 00:22:30,719 Speaker 4: the UK, Denmark obviously, Germany, Sweden, Netherlands, France, and Canada 446 00:22:30,800 --> 00:22:32,040 Speaker 4: is kicking off for US as well. 447 00:22:32,880 --> 00:22:34,520 Speaker 1: Very cool, All right, hey Ryan, thank you for doing so. 448 00:22:34,560 --> 00:22:35,440 Speaker 1: I appreciate this. 449 00:22:36,240 --> 00:22:40,879 Speaker 3: Fascinated by the technology, very cool to see it on 450 00:22:40,920 --> 00:22:43,439 Speaker 3: a football field, and I can't wait to see what 451 00:22:43,480 --> 00:22:44,400 Speaker 3: you guys come up with next. 452 00:22:44,440 --> 00:22:46,080 Speaker 1: But thanks for doing I appreciate Ryan. 453 00:22:46,600 --> 00:22:48,480 Speaker 4: Awesome, thanks man. Appreciate the opportunity