Meeting Title: Uttam Kumaran <> Hector Date: 2025-04-25 Meeting participants: Hector Torres, Uttam Kumaran
WEBVTT
1 00:00:33.700 ⇒ 00:00:34.800 Uttam Kumaran: Hey! Hector.
2 00:00:36.000 ⇒ 00:00:37.179 Hector Torres: Hey? What’s up?
3 00:00:37.190 ⇒ 00:00:38.310 Uttam Kumaran: Hey! How are you?
4 00:00:38.790 ⇒ 00:00:39.969 Hector Torres: All right. How are you.
5 00:00:40.130 ⇒ 00:00:43.519 Uttam Kumaran: Good just finishing up the week here.
6 00:00:45.920 ⇒ 00:00:48.359 Hector Torres: Yeah, thanks for making time for me. I appreciate it, man.
7 00:00:48.360 ⇒ 00:00:52.419 Uttam Kumaran: Yeah, of course. I yeah, I hope some of those notes helped. I mean,
8 00:00:52.860 ⇒ 00:00:59.200 Uttam Kumaran: it’s definitely a lot to sign up for with, like, nothing like promised. And
9 00:00:59.970 ⇒ 00:01:07.220 Uttam Kumaran: yeah, even just like 15 k, 12 months to sign up for data breaks like, I don’t think there’s any reason to make
10 00:01:07.420 ⇒ 00:01:11.959 Uttam Kumaran: that commitment without understanding what the end state is. You know.
11 00:01:14.755 ⇒ 00:01:21.479 Hector Torres: Well, I’m happy to share. I’ll give you an overview cause.
12 00:01:21.650 ⇒ 00:01:30.159 Hector Torres: I mean, there, there is some growth potential with the the accounts that we have in front of us.
13 00:01:37.710 ⇒ 00:01:39.990 Hector Torres: Visuals always help. Right? So
14 00:01:50.290 ⇒ 00:01:51.669 Hector Torres: can you see my screen.
15 00:01:51.670 ⇒ 00:01:52.420 Uttam Kumaran: Yes.
16 00:01:53.570 ⇒ 00:01:53.955 Hector Torres: Okay?
17 00:01:54.450 ⇒ 00:02:05.650 Hector Torres: So our immediate opportunity is leveraging existing partners like smart meter and chronic care.
18 00:02:06.570 ⇒ 00:02:12.119 Hector Torres: We buy devices like the ones you see on on screen from smart meter.
19 00:02:13.192 ⇒ 00:02:21.180 Hector Torres: Smart meter has a platform where we can capture these data points from blood pressure devices, scale
20 00:02:21.760 ⇒ 00:02:35.410 Hector Torres: gluco, glucometer, oximeter, and it has the basics, so we can pull reports and submit bills for reimbursements
21 00:02:35.940 ⇒ 00:02:38.650 Hector Torres: to the tuner about, you know, 10 K.
22 00:02:39.300 ⇒ 00:02:42.519 Hector Torres: 10 k. Per physician per month.
23 00:02:42.950 ⇒ 00:02:47.680 Hector Torres: So sunlight clinic is our 1st account. They’re dragging their feet because of
24 00:02:48.280 ⇒ 00:02:55.810 Hector Torres: operational logistics, operational challenges. Internally, they have a they’re switching out Emr ehrs.
25 00:02:56.380 ⇒ 00:03:02.720 Hector Torres: They should go online next week or beginning of May.
26 00:03:02.840 ⇒ 00:03:11.460 Hector Torres: And so what we do is we send these devices in bulk either to the clinic or directly to the patient. And we.
27 00:03:11.690 ⇒ 00:03:17.320 Hector Torres: We provide the patient engagement piece, the technology piece
28 00:03:18.590 ⇒ 00:03:22.240 Hector Torres: tech support billing support. And we all make money.
29 00:03:22.830 ⇒ 00:03:30.700 Hector Torres: Chronic care. IQ is is similar. They’re they’re they’re a more robust platform, and they’re able to capture
30 00:03:30.800 ⇒ 00:03:39.630 Hector Torres: like 10 x the amount of Cpt codes we could capture through smart meter, and that just means 10 x monthly revenue.
31 00:03:41.768 ⇒ 00:03:46.790 Hector Torres: And that’s just one. And that’s just one account. And that’s Brownsville.
32 00:03:48.030 ⇒ 00:03:51.750 Hector Torres: There’s Austin Clinic that’s in front of us.
33 00:03:52.140 ⇒ 00:03:55.409 Hector Torres: That’s about 15 positions.
34 00:03:55.820 ⇒ 00:03:58.460 Hector Torres: Lone Star Circle cares about the same.
35 00:03:58.930 ⇒ 00:04:07.160 Hector Torres: And then there’s chart path that is 25 to 50,
36 00:04:07.910 ⇒ 00:04:11.840 Hector Torres: and all of that for for this year potentially
37 00:04:12.220 ⇒ 00:04:13.990 Hector Torres: right? So I think you know.
38 00:04:14.820 ⇒ 00:04:19.489 Hector Torres: I mentioned that. And of course, you know, the numbers add up. And they’re like, Oh, yeah.
39 00:04:20.029 ⇒ 00:04:22.369 Hector Torres: we can get 15 k. Out of this guy. Easy.
40 00:04:22.960 ⇒ 00:04:25.309 Uttam Kumaran: Yeah, that’s basically, yeah.
41 00:04:29.390 ⇒ 00:04:31.499 Hector Torres: Sorry I’m drinking some marks. Let me know. Still.
42 00:04:31.500 ⇒ 00:04:32.160 Uttam Kumaran: No, no.
43 00:04:32.570 ⇒ 00:04:40.339 Hector Torres: Got some issues with my my throat. So yeah, I mean, Q. 3 Q. 4.
44 00:04:40.560 ⇒ 00:04:45.009 Hector Torres: You know, we’re forecasting to make some some significant revenue. But
45 00:04:45.140 ⇒ 00:04:48.320 Hector Torres: it ain’t happening in the next couple of months.
46 00:04:49.229 ⇒ 00:04:51.560 Hector Torres: And I think that’s what where they got excited.
47 00:04:51.850 ⇒ 00:04:53.690 Hector Torres: But let me let me.
48 00:04:54.110 ⇒ 00:04:58.769 Hector Torres: That’s just, and that’s just this small piece.
49 00:04:59.550 ⇒ 00:05:00.005 Hector Torres: Okay?
50 00:05:00.630 ⇒ 00:05:09.929 Hector Torres: So we so just signed an agreement with health. Next, a new partner. They’re presenting additional revenue stream for us.
51 00:05:10.070 ⇒ 00:05:14.800 Hector Torres: But they’re a health. They’re a mobile app as a device.
52 00:05:14.960 ⇒ 00:05:22.730 Hector Torres: So they live today outside of chronic care, queue and smart meter. And so we’re gonna work with them to figure out
53 00:05:22.880 ⇒ 00:05:29.980 Hector Torres: how we manage their data. So we can do reporting and billing similar to smart meter or chronic care. IQ, okay.
54 00:05:30.530 ⇒ 00:05:40.909 Hector Torres: so this is, but that’s just the clinical data, the structured data that we collect or we. We’re we’re we’re working towards collecting
55 00:05:41.080 ⇒ 00:05:45.139 Hector Torres: through chronic IQ and smart meter. We can collect that all day long.
56 00:05:46.710 ⇒ 00:05:52.719 Hector Torres: Now, the other end of this is the non clinical data, social determinants of health
57 00:05:53.425 ⇒ 00:06:03.670 Hector Torres: unstructured data data that we can pull from web, social media and other. You know, other sources
58 00:06:04.628 ⇒ 00:06:13.230 Hector Torres: contact center. Right? You call your clinic. Do a telemedicine visit, or you get on the phone to talk to somebody. Well, there’s that
59 00:06:14.955 ⇒ 00:06:21.809 Hector Torres: conversational, the the audio data that we can pull again more unstructured data.
60 00:06:22.230 ⇒ 00:06:27.320 Hector Torres: And then there’s mobile health app that we’re gonna build out for one or 2 clinics.
61 00:06:27.760 ⇒ 00:06:29.139 Hector Torres: There’s more data.
62 00:06:29.520 ⇒ 00:06:36.550 Hector Torres: What we’re trying to accomplish is collect as much data as we can. So we could better understand. I think I mentioned this when we
63 00:06:36.790 ⇒ 00:06:41.069 Hector Torres: at least at a high level, when we met right? We’re doing our best to collect
64 00:06:41.340 ⇒ 00:06:47.390 Hector Torres: various data elements to understand the patient better, so we can help the clinics
65 00:06:48.030 ⇒ 00:06:55.149 Hector Torres: better serve their patients more efficiently and generate more revenue through
66 00:06:55.480 ⇒ 00:07:03.440 Hector Torres: revenue claims, management, more efficient revenue claims management. And there’s a lot of AI that can be implemented in
67 00:07:03.880 ⇒ 00:07:06.930 Hector Torres: in all of the in all these aspects. Right?
68 00:07:07.440 ⇒ 00:07:14.919 Hector Torres: So so so I can understand why they were excited about working with this. And you know, trying to build out something robust from like.
69 00:07:15.180 ⇒ 00:07:21.960 Hector Torres: Yeah, that’s great. But it’s that’s too much. We need to focus on what brings in our dollars first, st
70 00:07:22.580 ⇒ 00:07:24.340 Hector Torres: not the whole bowl of wax.
71 00:07:24.570 ⇒ 00:07:26.989 Hector Torres: I mean, I’m I’m worrying. I’m worrying.
72 00:07:27.110 ⇒ 00:07:32.080 Hector Torres: wanting to start slow and small with them, and they’re just going, you know, full throttle.
73 00:07:33.080 ⇒ 00:07:34.080 Hector Torres: So
74 00:07:34.400 ⇒ 00:07:41.160 Hector Torres: you know, it’s a little bit of a down dancing act, so to speak, right now. So that’s that’s at a high level, the
75 00:07:41.930 ⇒ 00:07:49.480 Hector Torres: the data flow. I’m talking to some architects around the actual data that we’re going to capture. So we have a data roadmapping session
76 00:07:49.700 ⇒ 00:07:55.710 Hector Torres: on Monday to talk about how we can support health, mix with the big picture.
77 00:07:56.370 ⇒ 00:08:00.769 Uttam Kumaran: And then what is like? What is the staffing? Look on your side like? Are are they building out
78 00:08:00.970 ⇒ 00:08:05.960 Uttam Kumaran: the pipelines and then determining the fields, doing the modeling
79 00:08:06.070 ⇒ 00:08:10.740 Uttam Kumaran: like what how much are, is like their responsibility.
80 00:08:11.370 ⇒ 00:08:15.440 Hector Torres: They’re offering to do as much as as possible
81 00:08:15.640 ⇒ 00:08:17.660 Hector Torres: as far as an Mvp. Goes.
82 00:08:18.360 ⇒ 00:08:20.880 Hector Torres: That’s from the sunny data’s perspective.
83 00:08:21.300 ⇒ 00:08:24.209 Uttam Kumaran: Yeah. But I guess from your side, like our.
84 00:08:24.440 ⇒ 00:08:26.860 Uttam Kumaran: are you comfortable with that cause? They’re gonna I mean.
85 00:08:27.110 ⇒ 00:08:31.400 Uttam Kumaran: I I work in consulting as well. They’re gonna just say they can do everything.
86 00:08:32.078 ⇒ 00:08:35.060 Hector Torres: No matter what you like, no matter what you throw at them.
87 00:08:36.580 ⇒ 00:08:42.450 Uttam Kumaran: But it. What you described is quite a large amount of work like it’s that’s not a
88 00:08:42.799 ⇒ 00:08:47.680 Uttam Kumaran: that’s not like a 1 month sort of thing. I mean
89 00:08:47.860 ⇒ 00:08:53.440 Uttam Kumaran: their Poc, they should just pick off one data source and like
90 00:08:53.640 ⇒ 00:09:03.440 Uttam Kumaran: build it end to end. But I guess my point is that you don’t need to sign up for a 15 k databricks 12 month. Commit to do that. You can start on databricks free tier.
91 00:09:04.103 ⇒ 00:09:08.360 Uttam Kumaran: you know, to you don’t need to pay for like this is where I’m like
92 00:09:08.750 ⇒ 00:09:13.270 Uttam Kumaran: for our clients like I would never start them on an annual tier like this.
93 00:09:15.670 ⇒ 00:09:18.599 Uttam Kumaran: For until we get a sense of like what the usage is.
94 00:09:19.039 ⇒ 00:09:28.889 Uttam Kumaran: And there’s like databricks is a pretty generous free tier, especially if you’re a startup. You can apply for startup credits. So that that’s like my main feedback is there’s no need to sign up for that. Commit.
95 00:09:31.570 ⇒ 00:09:37.729 Hector Torres: No, I agree, and that’s why I’m like a little frustrated by them with them trying to go full throttle with me.
96 00:09:38.980 ⇒ 00:09:44.460 Hector Torres: Yeah, and I’ve signed up with databricks as just a startup.
97 00:09:45.590 ⇒ 00:09:50.140 Hector Torres: And I agree with you. Yeah, that that’s a lot there, and I know
98 00:09:50.430 ⇒ 00:09:55.599 Hector Torres: I know the the level of effort to build out all these things because I built them out.
99 00:09:57.113 ⇒ 00:10:00.100 Hector Torres: In the past. Not altogether, I’ve you know.
100 00:10:00.810 ⇒ 00:10:03.849 Hector Torres: had some interns. I did quite a bit of work.
101 00:10:03.970 ⇒ 00:10:09.240 Hector Torres: I’ve done all those things, so I have the the experience of doing it.
102 00:10:10.980 ⇒ 00:10:14.089 Hector Torres: The AI pieces are not our our strong suit.
103 00:10:16.550 ⇒ 00:10:22.030 Uttam Kumaran: Yeah, the AI. But the AI piece is like, gonna be very much downstream of all this data.
104 00:10:24.220 ⇒ 00:10:29.230 Uttam Kumaran: you know. And it’s gonna be at the end of the sort of towards the end of the journey.
105 00:10:30.630 ⇒ 00:10:34.790 Uttam Kumaran: But yeah, my feedback would be to try to have them like scope down towards
106 00:10:35.590 ⇒ 00:10:45.470 Uttam Kumaran: something in the 3 month range. I mean, when we do Pocs for people, it’s like we’ll come and do like one or 2 weeks. We’ll try to put something together otherwise, like 3 months, like
107 00:10:45.880 ⇒ 00:10:48.079 Uttam Kumaran: I don’t know. That’s just like too much time.
108 00:10:50.310 ⇒ 00:10:50.929 Hector Torres: I agree.
109 00:10:50.930 ⇒ 00:10:52.120 Uttam Kumaran: Yeah, yeah.
110 00:10:55.710 ⇒ 00:10:57.909 Uttam Kumaran: it’s a lot to sign up for. Yeah.
111 00:10:58.170 ⇒ 00:11:05.359 Hector Torres: Yeah, no, I I mean, don’t get me wrong. I’m hyper focused in what I want to accomplish in the timeline
112 00:11:05.500 ⇒ 00:11:06.949 Hector Torres: that’s in front of me.
113 00:11:07.150 ⇒ 00:11:08.060 Hector Torres: I’m I’m
114 00:11:08.870 ⇒ 00:11:15.890 Hector Torres: at this point. Databricks is becoming a distraction. I’m not gonna allow it to be a distraction because I gotta focus specifically.
115 00:11:15.890 ⇒ 00:11:22.279 Uttam Kumaran: Yeah, like, I don’t know the vendor sort of like they’re gonna just make you want. We’re gonna want to make it all about them
116 00:11:22.650 ⇒ 00:11:25.920 Uttam Kumaran: like, whether you go with Snowflake or Databricks like
117 00:11:26.585 ⇒ 00:11:30.389 Uttam Kumaran: I would just go for whatever gets us out. The door.
118 00:11:31.680 ⇒ 00:11:37.030 Hector Torres: And you’re right about the the AI, and what we want to accomplish with AI
119 00:11:37.380 ⇒ 00:11:41.869 Hector Torres: basically actually, just just one high level thing.
120 00:11:43.380 ⇒ 00:11:50.530 Hector Torres: you know, collecting all the data is important, but making sure that the data is clean is important. But once we get to a point which will take time
121 00:11:50.800 ⇒ 00:11:53.469 Hector Torres: we want to begin to do care Gap reviews.
122 00:11:54.350 ⇒ 00:11:57.740 Hector Torres: record reviews for the intent of ensuring that.
123 00:11:58.553 ⇒ 00:12:00.470 Hector Torres: Patients are getting the right care management.
124 00:12:02.310 ⇒ 00:12:09.809 Hector Torres: Right? That’s that’s that’s where we’re going with this. So we’re continuously help. We’re we’re looking at the data
125 00:12:10.190 ⇒ 00:12:16.290 Hector Torres: analyzing the data. So the clinic continuously improves and continuously delivers better health care.
126 00:12:18.380 ⇒ 00:12:19.920 Hector Torres: That’s it in a nutshell.
127 00:12:21.450 ⇒ 00:12:24.890 Uttam Kumaran: I mean so like probably I mean, I would say
128 00:12:25.050 ⇒ 00:12:33.569 Uttam Kumaran: I, I’m happy to introduce you to another Databricks sort of firm that we that you know, we trust that you can at least get another quote, for
129 00:12:33.700 ⇒ 00:12:38.339 Uttam Kumaran: I mean from from our side, I think where I can probably be helpful is just
130 00:12:38.480 ⇒ 00:12:41.980 Uttam Kumaran: sort of like this, like more of a just strategic resource.
131 00:12:42.514 ⇒ 00:12:53.469 Uttam Kumaran: Like. Certainly. I think we, you know, we could take on more of the the data pipelining work. If you wanna think about something like Snowflake, we could do into the data bricks, too. But
132 00:12:54.910 ⇒ 00:13:06.859 Uttam Kumaran: it’s also like, I think you should consider going with one of these databrick specific firms if you’re if you’re really set on going with Databricks. But if if you’re not, then you should certainly
133 00:13:07.420 ⇒ 00:13:12.479 Uttam Kumaran: shop this round. Because if it’s purely like, Hey, we want to move data from one of these sources. We want to model it.
134 00:13:12.640 ⇒ 00:13:14.629 Uttam Kumaran: Then we want to create a simple dashboard
135 00:13:14.790 ⇒ 00:13:19.239 Uttam Kumaran: that’s like a few weeks of work that’s not like 3 to 6 months. 12 month commits.
136 00:13:19.720 ⇒ 00:13:20.730 Hector Torres: The great.
137 00:13:21.130 ⇒ 00:13:24.479 Hector Torres: I’m not. I’m not a hundred percent married to Databricks now.
138 00:13:24.770 ⇒ 00:13:25.500 Uttam Kumaran: Okay.
139 00:13:29.060 ⇒ 00:13:32.139 Hector Torres: Yeah, so cool. No, I appreciate you putting it out there.
140 00:13:32.750 ⇒ 00:13:34.649 Hector Torres: and that’s part of the conversation. We’ll have
141 00:13:37.690 ⇒ 00:13:39.970 Hector Torres: My team and I are going to talk with
142 00:13:43.727 ⇒ 00:13:48.100 Hector Torres: Healthlix, the CEO, and some other people to start mapping out.
143 00:13:48.997 ⇒ 00:13:56.090 Hector Torres: How we’re gonna build out the infrastructure to support. You know the roadmap the long term. So
144 00:13:56.930 ⇒ 00:14:02.740 Hector Torres: I’m glad we connected. And I greatly appreciate, you know, doing that initial review, and you can.
145 00:14:02.740 ⇒ 00:14:03.180 Uttam Kumaran: Boris.
146 00:14:03.180 ⇒ 00:14:14.579 Hector Torres: Like. So so right now, just so, you know, hyper focused on on the landing 2 more accounts
147 00:14:17.580 ⇒ 00:14:22.040 Hector Torres: unofficially. You know, we haven’t secured the paper.
148 00:14:22.220 ⇒ 00:14:25.800 Hector Torres: Yeah. But Tuesday, this Tuesday, I landed
149 00:14:26.540 ⇒ 00:14:30.349 Hector Torres: chart path, which is, they’re a 30 million dollar health.
150 00:14:30.350 ⇒ 00:14:30.810 Uttam Kumaran: Nice.
151 00:14:30.810 ⇒ 00:14:38.100 Hector Torres: Through and they have a huge, huge customer base, and they want us to be there.
152 00:14:38.280 ⇒ 00:14:40.110 Hector Torres: remote, patient, monitoring.
153 00:14:40.580 ⇒ 00:14:46.250 Hector Torres: Go to, partner. So we’re gonna provide that to their customers. And that
154 00:14:46.560 ⇒ 00:14:50.259 Hector Torres: is significant. But, as you know, man’s all.
155 00:14:50.740 ⇒ 00:14:57.409 Hector Torres: it’s it’s slow going. Sometimes you sometimes don’t see revenue for 2, 3 months, even after you sign a contract.
156 00:14:57.410 ⇒ 00:15:03.700 Uttam Kumaran: Yeah. So that’s like, that’s why to keep your Poc costs extremely low, and
157 00:15:04.250 ⇒ 00:15:12.530 Uttam Kumaran: I don’t know. Try to like, try to find a firm that will just build you something that’s worth that’s helpful for your demos as well. That helps your additional sales cycle, you know.
158 00:15:12.930 ⇒ 00:15:15.959 Uttam Kumaran: so you can put something in front of folks like a little dashboard or.
159 00:15:16.440 ⇒ 00:15:17.860 Hector Torres: Yeah, exactly.
160 00:15:19.950 ⇒ 00:15:21.909 Hector Torres: Yeah. And I think you know.
161 00:15:22.140 ⇒ 00:15:30.370 Hector Torres: what I’m looking for is is someone that can work with us because we’re still small and revenue cash flows super tight.
162 00:15:31.230 ⇒ 00:15:35.989 Hector Torres: You know someone that’s willing to work with us on a very small scale.
163 00:15:37.223 ⇒ 00:15:40.449 Hector Torres: To where, you know I’m happy to ramp up with them
164 00:15:42.129 ⇒ 00:15:46.410 Hector Torres: cash flow revenue perspective as we ramp with our customers. Such
165 00:15:46.830 ⇒ 00:15:51.469 Hector Torres: we don’t get our. We don’t get our intellectual property like stolen and lifted.
166 00:15:51.680 ⇒ 00:16:15.969 Uttam Kumaran: Exactly. That’s why. Also, like, I don’t think they had anything around like who’s running the code stuff like that. So that’s certainly helpful. And that’s how like I mean, I mean to be even candid about how we do things like we sort of start small with folks. So we have clients we’re not, we have. There are a lot of people in kind of consulting in our world. They’ll like, Come in, have a big, flashy contract. But then that client will churn, because after 3 months they realize like.
167 00:16:16.250 ⇒ 00:16:21.390 Uttam Kumaran: it’s a bureaucracy on the other end. And so for us, like we usually have started with clients where it’s just like.
168 00:16:21.590 ⇒ 00:16:37.649 Uttam Kumaran: say, they’re like one of us on our team, just like doing a few hours or coming to strategy meetings or doing helping sort of on procurement, basically like handling some of this which is like going and finding some of these vendors. And then, as the client grows, we sort of grow with them. And so.
169 00:16:38.100 ⇒ 00:16:56.340 Uttam Kumaran: yeah, I I think that’s like finding a partner that’s that’s in that world. That sort of with that mindset is is much better. Especially given your stage. You don’t want to get sucked into like one of these deals. Have them tell you it’s gonna take 6 months, and then 6 months comes down. It’s gonna be another 6 months, like, you know, you should have something in front of you in a few weeks.
170 00:16:57.480 ⇒ 00:16:58.500 Hector Torres: Yeah, exactly.
171 00:16:58.720 ⇒ 00:16:59.515 Hector Torres: Well,
172 00:17:00.630 ⇒ 00:17:09.139 Hector Torres: how about we talk more about you know how how we can grow this relationship? Because I like, I said, I really appreciate your perspective. And
173 00:17:09.300 ⇒ 00:17:12.850 Hector Torres: the the time you you’ve shared with me thus far, man, so
174 00:17:13.329 ⇒ 00:17:18.990 Hector Torres: I have to explore what you and your group can can provide or support
175 00:17:19.400 ⇒ 00:17:23.270 Hector Torres: short term long term, and see where this we’ll see where this can go.
176 00:17:23.270 ⇒ 00:17:30.781 Uttam Kumaran: Yeah, maybe I’ll send a couple of notes over about like some of the work that we’ve done, and just sort of like what a structure could be.
177 00:17:31.403 ⇒ 00:17:54.130 Uttam Kumaran: And then, yeah, no, I appreciate. Yeah, I appreciate you even sharing some of these. I’m glad I saw that come in. And then I’m also glad I was able to be like, don’t do this right now. And so I think it’s helpful to to get a second perspective. So thanks for you know, allowing me to do that. And then, yeah, I’ll get a couple of notes over, and we can see if we can move forward on something.
178 00:17:55.130 ⇒ 00:17:56.599 Hector Torres: Okay. Can you hear me? Okay.
179 00:17:56.600 ⇒ 00:18:01.526 Uttam Kumaran: Yes, okay. My looks like my connection was going. Wonky.
180 00:18:02.490 ⇒ 00:18:07.829 Hector Torres: Yeah, no, man. I appreciate your time. Do you guys have you guys done much in healthcare?
181 00:18:08.430 ⇒ 00:18:12.775 Uttam Kumaran: Yeah, we’ve worked with we’ve worked with some clinics,
182 00:18:13.260 ⇒ 00:18:40.309 Uttam Kumaran: but mainly on the like marketing side. And then we do work with a lot of e-commerce like health products like glp. One retailers things like that where we’re working with pharmacy data. And a lot of it is really on like pulling data from different sources. But from what you’re from what you mentioned, I think the biggest challenge is, yeah. If you have a couple of the key vendors like smart meter. We just need to know their Apis sort of
183 00:18:40.520 ⇒ 00:18:48.520 Uttam Kumaran: be able to pull that into a clear data source model that that doesn’t necessarily need to be done in databricks. You can do that in Snowflake. You can do that bigquery
184 00:18:49.328 ⇒ 00:18:55.459 Uttam Kumaran: and then really just drive as quickly as we can towards something that you can see and poke at like a dashboard.
185 00:18:56.290 ⇒ 00:18:56.630 Hector Torres: Cool.
186 00:18:56.630 ⇒ 00:19:01.249 Uttam Kumaran: You know, that’s basically what we’ve what we’ve done across. You know, several
187 00:19:01.620 ⇒ 00:19:08.200 Uttam Kumaran: several different clients now, and some of our clients start small right, because sometimes you can’t give feedback until you sort of like see something
188 00:19:08.604 ⇒ 00:19:19.199 Uttam Kumaran: but ideally, especially because you’re you’re in sort of A, it’s sort of like B to B 2. B, you want to have something that you can share with your clients right about what the product is. Gonna look like.
189 00:19:20.980 ⇒ 00:19:26.250 Hector Torres: Well, I think timing is good, because next Tuesday I have a meeting with Lone Star Circle of care.
190 00:19:26.420 ⇒ 00:19:31.040 Hector Torres: And then Austin Clinic is gonna happen any any week now.
191 00:19:32.220 ⇒ 00:19:34.980 Hector Torres: I’ve been going round and round with him for like a year.
192 00:19:35.809 ⇒ 00:19:45.709 Hector Torres: And they both are interested in leveraging AI. How as much as possible. So maybe you know, let’s see if we can set that relationship. And you guys be our AI partner
193 00:19:47.330 ⇒ 00:19:50.619 Hector Torres: and and help us build out a quick, quick, and dirty
194 00:19:51.596 ⇒ 00:20:05.503 Hector Torres: care management. AI enabled dashboard. Yeah. Access to the Apis is, that’s super easy, man. I can give you access to smart meter pretty quick. And you start playing with the real data. It’s gonna be my data
195 00:20:05.990 ⇒ 00:20:11.209 Hector Torres: weight and blue blood pressure data and start modeling something pretty quick.
196 00:20:11.540 ⇒ 00:20:12.590 Hector Torres: Yeah.
197 00:20:12.590 ⇒ 00:20:30.569 Uttam Kumaran: And even to give you a sense of like, how we even land our AI clients is we? Do we do a proof of concept like when we, after our 1st meeting, like, for example, we’re we’re we’re talking to this legal firm that is like, Hey, can you ingest a bunch of our legal documents and just basically build a basic chat bot for
198 00:20:30.720 ⇒ 00:20:38.810 Uttam Kumaran: some of our operations staff to just extract a few pieces of information. And in the next meeting we have, we basically built a quick Ui
199 00:20:39.516 ⇒ 00:20:43.190 Uttam Kumaran: applied some like common practices. Of course it’s not like perfect. But
200 00:20:43.914 ⇒ 00:20:51.820 Uttam Kumaran: just try to just drive towards showing something right and like, so that’s something, I think, for sure. Even next week, if we get something signed
201 00:20:52.203 ⇒ 00:21:01.599 Uttam Kumaran: I could try to have my team just put something together and get acquaintance with the smart meter data and then start to look at like, okay, what do you want? The final output to be and
202 00:21:02.147 ⇒ 00:21:09.652 Uttam Kumaran: how. We can not only do the data pipelining, and then, just like, have some ui that you can then take, and then, Demo, right, we’ll we’ll
203 00:21:10.210 ⇒ 00:21:16.069 Uttam Kumaran: We can basically just brand that demo towards you. And then you have that in your back pocket. If helpful.
204 00:21:17.070 ⇒ 00:21:17.950 Hector Torres: Cool man.
205 00:21:19.130 ⇒ 00:21:22.470 Hector Torres: Yeah, I can get you access to the
206 00:21:22.720 ⇒ 00:21:27.120 Hector Torres: smart meter pretty quick. What do you? Is that what you is that what you need from me right now.
207 00:21:27.120 ⇒ 00:21:30.129 Uttam Kumaran: Yeah, access to smart meter, or even just an export.
208 00:21:32.000 ⇒ 00:21:35.469 Hector Torres: No, I’ll send you all the Api. I’ll send you all the api documentation.
209 00:21:35.470 ⇒ 00:21:36.720 Uttam Kumaran: Okay, that’s helpful.
210 00:21:37.390 ⇒ 00:21:38.160 Hector Torres: Okay.
211 00:21:38.480 ⇒ 00:21:42.220 Uttam Kumaran: Yeah, if you can send me that, then I will send that to my team and try to just
212 00:21:42.843 ⇒ 00:21:48.930 Uttam Kumaran: see if we can do something by next week. But I’ll get you a little bit of a note about how we typically work.
213 00:21:49.591 ⇒ 00:22:02.799 Uttam Kumaran: And then, just see, you know, I think I think, for this starting something hourly is probably best, and you can sort of get a sense for how we work, and then we can think about. If we want to do something larger again, I just wanna
214 00:22:02.960 ⇒ 00:22:05.269 Uttam Kumaran: hopefully, it’s try to show you something.
215 00:22:05.819 ⇒ 00:22:09.450 Uttam Kumaran: That you can poke at. And then again, just be a resource. So.
216 00:22:11.120 ⇒ 00:22:12.420 Hector Torres: That sounds cool, man
217 00:22:12.550 ⇒ 00:22:17.170 Hector Torres: sounds really cool. Alright, I’ll try to get you over the Api stuff before end of the day.
218 00:22:17.540 ⇒ 00:22:18.580 Uttam Kumaran: Thank you so much.
219 00:22:19.320 ⇒ 00:22:20.550 Hector Torres: Alright, man! We’ll talk soon.
220 00:22:20.550 ⇒ 00:22:21.870 Uttam Kumaran: Okay? Bye.