Meeting Title: Uttam-Kumaran <> Sam-Baxter Date: 2024-05-13 Meeting participants: Sam Baxter, Uttam Kumaran
WEBVTT
1 00:01:04.220 ⇒ 00:01:05.220 Sam Baxter: Hey? How’s it going.
2 00:01:05.220 ⇒ 00:01:06.164 Uttam Kumaran: Hey! How are you?
3 00:01:06.630 ⇒ 00:01:07.800 Sam Baxter: Not too bad
4 00:01:08.490 ⇒ 00:01:09.490 Sam Baxter: as I.
5 00:01:10.320 ⇒ 00:01:11.430 Sam Baxter: I’m sorry.
6 00:01:11.430 ⇒ 00:01:12.530 Uttam Kumaran: How’s your day been.
7 00:01:13.000 ⇒ 00:01:15.779 Sam Baxter: Yeah, not too bad, you know. Monday in the office. So.
8 00:01:15.970 ⇒ 00:01:17.698 Sam Baxter: jumping right back in.
9 00:01:18.130 ⇒ 00:01:20.613 Uttam Kumaran: It. Monday in my living room. Yeah, pretty normal.
10 00:01:20.890 ⇒ 00:01:23.539 Sam Baxter: There you go! Where where do you? Where do you live?
11 00:01:23.540 ⇒ 00:01:24.869 Uttam Kumaran: I’m in Austin.
12 00:01:24.870 ⇒ 00:01:26.730 Sam Baxter: Okay. Very cool.
13 00:01:26.730 ⇒ 00:01:27.200 Uttam Kumaran: How about you?
14 00:01:27.200 ⇒ 00:01:29.290 Sam Baxter: As I’m in Denver.
15 00:01:29.290 ⇒ 00:01:29.740 Uttam Kumaran: Nice.
16 00:01:29.740 ⇒ 00:01:33.348 Sam Baxter: But but I do cover mainly Austin.
17 00:01:34.210 ⇒ 00:01:40.000 Sam Baxter: my tech side. But yeah, awesome. Does the whole team sit in Austin, or is it pretty? Spread out.
18 00:01:40.000 ⇒ 00:01:45.133 Uttam Kumaran: Yeah, everyone’s kind of distributed. We have one person here in in Austin.
19 00:01:45.550 ⇒ 00:01:52.189 Uttam Kumaran: one person’s in New Orleans, 2 people, one person, 2 people are in Latin, one’s in the Philippines. So
20 00:01:52.210 ⇒ 00:01:54.058 Uttam Kumaran: just wherever talent is
21 00:01:54.520 ⇒ 00:01:55.450 Sam Baxter: Yeah.
22 00:01:55.450 ⇒ 00:01:57.090 Uttam Kumaran: I don’t really care. I actually watch.
23 00:01:57.090 ⇒ 00:01:57.375 Sam Baxter: Yeah.
24 00:01:57.660 ⇒ 00:01:59.150 Uttam Kumaran: In Austin. But
25 00:01:59.947 ⇒ 00:02:09.482 Uttam Kumaran: there’s not a ton of like data people on the market. And it’s like, I. I’m in the first year business. So it’s just been like slowly trying to
26 00:02:10.020 ⇒ 00:02:13.140 Uttam Kumaran: get talent and get clients and things like that. So.
27 00:02:13.451 ⇒ 00:02:20.610 Sam Baxter: Yeah, I I I understand. We I’d say we mainly work with startup companies. You know, stealth companies as well as
28 00:02:21.109 ⇒ 00:02:23.429 Sam Baxter: you know, startups that are just looking to
29 00:02:24.020 ⇒ 00:02:29.720 Sam Baxter: to grow their base of customers. That seems to be the the biggest focus. So completely. Understand? Yeah, yeah.
30 00:02:29.720 ⇒ 00:02:30.640 Uttam Kumaran: Yeah.
31 00:02:30.790 ⇒ 00:02:35.716 Sam Baxter: Awesome. Well, if you wouldn’t mind one, I would love some help pronounce your name, so I don’t
32 00:02:35.990 ⇒ 00:02:36.900 Uttam Kumaran: Yeah, it’s good.
33 00:02:36.900 ⇒ 00:02:38.420 Sam Baxter: Yeah, it’s utam.
34 00:02:38.420 ⇒ 00:02:38.810 Uttam Kumaran: Yes.
35 00:02:38.810 ⇒ 00:02:39.719 Sam Baxter: Tom. Okay.
36 00:02:39.920 ⇒ 00:02:40.930 Sam Baxter: alright cool.
37 00:02:41.440 ⇒ 00:02:53.799 Sam Baxter: Well, awesome. So you so you’re sounds like from you’re from a co-founder site. Obviously did a little bit of you know, back end and and looked at some of the website and pieces that I could find as well as the ticket that you had put into our support.
38 00:02:53.930 ⇒ 00:02:56.641 Sam Baxter: But would love your high level overview.
39 00:02:56.980 ⇒ 00:02:57.310 Uttam Kumaran: Yeah.
40 00:02:57.310 ⇒ 00:02:59.649 Sam Baxter: And in the focus and and all that.
41 00:03:00.210 ⇒ 00:03:01.310 Uttam Kumaran: Yeah, so
42 00:03:02.050 ⇒ 00:03:24.510 Uttam Kumaran: yeah, my background is in data engineering worked in data engineering for like, 6 years now, initially worked, that, we work which we transition to Snowflake in like 2,019, and then flow code brought in Snowflake there and then. Yeah. Have done like, probably like 10 plus snowflake implementations like for a bunch of companies.
43 00:03:24.889 ⇒ 00:03:37.979 Uttam Kumaran: And then last year, actually started brain Forge. I was leading product development at a startup and then decided to leave. And then started brain forge in July. Officially, brain Forge is just a data analytics consultancy. So we
44 00:03:38.397 ⇒ 00:03:47.770 Uttam Kumaran: snowflake and like, kind of like the network of tools around it to just help people do data, infrastructure data, engineering data modeling and then reporting
45 00:03:48.350 ⇒ 00:03:58.890 Uttam Kumaran: we have like 4 clients now and kind of expanding. And that’s kind of like what all the team covers. So the team covers everything from modeling to engineering to dashboarding.
46 00:03:59.394 ⇒ 00:04:03.740 Uttam Kumaran: And yeah, we primarily implement snowflake. So we’ve we just did our like.
47 00:04:03.780 ⇒ 00:04:11.520 Uttam Kumaran: our fourth, probably implementation. But I, personally have done a bunch more full time and and contract roles.
48 00:04:13.080 ⇒ 00:04:18.929 Uttam Kumaran: and yeah, we’re starting to leverage basically all the new AI features. I actually went to the snowflake
49 00:04:19.524 ⇒ 00:04:22.869 Uttam Kumaran: like workshop here in Austin. That was there last week.
50 00:04:22.870 ⇒ 00:04:23.530 Sam Baxter: Oh, nice!
51 00:04:23.530 ⇒ 00:04:24.770 Uttam Kumaran: The AI
52 00:04:25.602 ⇒ 00:04:27.410 Uttam Kumaran: like all the cortex stuff
53 00:04:27.705 ⇒ 00:04:31.694 Uttam Kumaran: to bring that to some of our clients. So some of our clients want to.
54 00:04:33.123 ⇒ 00:04:41.539 Uttam Kumaran: begin to like use the AI features across their like Zendesk data. They wanna they’re building streamlit apps. So we’re kind of facilitating that for them.
55 00:04:42.196 ⇒ 00:04:45.850 Uttam Kumaran: None of our clients are on capacity contracts yet.
56 00:04:46.189 ⇒ 00:04:49.590 Uttam Kumaran: Which is why, like not everybody’s tied to like our org.
57 00:04:49.948 ⇒ 00:04:54.430 Uttam Kumaran: But I’ve been trying to use like the partner, connect and try to keep everything in there. But
58 00:04:55.870 ⇒ 00:04:58.000 Uttam Kumaran: yeah, that’s a bit of the gist where
59 00:04:58.120 ⇒ 00:05:15.970 Uttam Kumaran: it’s been an interesting ride. So far I’ve done a lot of this work a bunch of times so mainly the goal. The consultancy was to offer these sort of services to people that may typically not be able to hire like a full time data engineer, not have enough like understanding of what goes into that hire, but also
60 00:05:16.240 ⇒ 00:05:31.680 Uttam Kumaran: finding people with like our amount of expertise, you know, a lot of people on my team have been doing this for a long time. So we can like walk into most problems and move pretty quickly. And and then we just we we charge and we make money, and it works out, you know. So.
61 00:05:31.680 ⇒ 00:05:33.079 Sam Baxter: Yeah, very cool.
62 00:05:33.080 ⇒ 00:05:33.910 Uttam Kumaran: Yeah.
63 00:05:34.560 ⇒ 00:05:39.826 Sam Baxter: Alright. Well, that’s no, I appreciate the background. If I think back to the case that was logged.
64 00:05:40.542 ⇒ 00:05:47.189 Sam Baxter: was it around more just trying to learn more about cortex and understanding where it could fit into your clients environments. Then.
65 00:05:47.590 ⇒ 00:05:56.030 Uttam Kumaran: Yeah, I think we submitted it. But I know parts of cortex are Ga now, and parts are still like Private Preview, and it moved pretty quickly. So.
66 00:05:56.030 ⇒ 00:05:56.480 Sam Baxter: Yeah.
67 00:05:56.480 ⇒ 00:06:08.909 Uttam Kumaran: We’re like trying to push that onto every client, basically because every client has like really clear use cases and people on my team are trained to kind of be able to use those cortex features. So we wanna kind of bring.
68 00:06:08.910 ⇒ 00:06:09.430 Sam Baxter: Yeah.
69 00:06:10.710 ⇒ 00:06:20.930 Sam Baxter: Okay? Obviously, you have a lot of experience bringing Snowflake in. Has anyone walked you through a little bit of the the relationship with an account team. How that functions.
70 00:06:21.860 ⇒ 00:06:37.249 Uttam Kumaran: Kind of I mean, I have worked like I’ve purchased on that bit of the procurement side a bunch worked with like sales engineering. And I’ve worked with like capacity, but not not on an agency side. Really, like we, we’re in the partner program.
71 00:06:37.280 ⇒ 00:06:39.769 Uttam Kumaran: But again, we don’t have anybody on capacity
72 00:06:40.351 ⇒ 00:06:52.558 Uttam Kumaran: which hopefully will change this year, but would love, I mean again. I didn’t know. I’ve talked to a bunch of people, so I didn’t know who is like dedicated to our account. And I just knew, like as soon as we started growing, we’ll get more attention. So it was like, let’s just keep.
73 00:06:52.780 ⇒ 00:06:53.410 Sam Baxter: Yeah.
74 00:06:53.410 ⇒ 00:06:53.730 Uttam Kumaran: Yeah.
75 00:06:54.071 ⇒ 00:06:56.120 Sam Baxter: There you go the natural way.
76 00:06:56.120 ⇒ 00:06:56.409 Uttam Kumaran: Yeah.
77 00:06:56.700 ⇒ 00:07:23.400 Sam Baxter: Okay, that makes sense. Well, I’ll give you the the high level intro to how the account pieces works, and like you mentioned, some of your customers might be moving to capacity as well. And so that’ll all be region based like wherever they’re located, Will, they’ll essentially be assigned to an account team, which is what? My, what I am, you know, from a snowflake side is I? I am a a account manager essentially for customers. But I also help organizations.
78 00:07:24.164 ⇒ 00:07:28.610 Sam Baxter: Test, and you know, determine how much snowflake capacity would need.
79 00:07:28.610 ⇒ 00:07:29.060 Uttam Kumaran: Okay.
80 00:07:30.010 ⇒ 00:07:35.931 Sam Baxter: there’s really 2 ways leveraging Snowflake. One’s the on demand model. You’re probably pretty familiar, familiar with you.
81 00:07:36.590 ⇒ 00:07:42.964 Sam Baxter: you essentially pay monthly in arrears back on what you use from a consumption storage standpoint instead of snowflake.
82 00:07:43.310 ⇒ 00:07:54.840 Sam Baxter: The other concept is a capacity agreement like you’re mentioning where you essentially pre purchase a bucket of credits, and you buy down that bucket over a year or a multi year contract. If that’s the route they decide to go
83 00:07:55.000 ⇒ 00:07:56.639 Sam Baxter: now, the difference is.
84 00:07:56.660 ⇒ 00:08:02.739 Sam Baxter: And here’s where kind of leads me to my next question around your your involvement with the partnership program.
85 00:08:02.770 ⇒ 00:08:11.460 Sam Baxter: But in order to have an account team aligned to yourself. So myself and a sales engineer, you typically need a well, you do need a capacity agreement in place.
86 00:08:11.490 ⇒ 00:08:15.117 Sam Baxter: So a little bit different from the other cloud vendors and spaces.
87 00:08:15.490 ⇒ 00:08:34.449 Sam Baxter: our on demand model is a true self service environment. So if you are building something for a customer on behalf of your snowflake environment. From an on demand standpoint. There’s no one monitoring or helping you get into private preview access like you’re mentioning cortex right? There’s only a certain functionality that’s ga.
88 00:08:34.460 ⇒ 00:08:48.989 Sam Baxter: so there, other functionalities are in private preview which will require a contract to be in place to get you applied to be a part of those. But it’s a little bit different in your situation, right? Because you’re not managing data. You’re more bringing into other environments correct.
89 00:08:48.990 ⇒ 00:08:53.709 Uttam Kumaran: So we actually, for most of our clients, we have actually established
90 00:08:53.740 ⇒ 00:08:55.760 Uttam Kumaran: the Snowflake instance, for them.
91 00:08:56.000 ⇒ 00:08:56.610 Sam Baxter: Okay.
92 00:08:56.610 ⇒ 00:09:00.550 Uttam Kumaran: Where we mostly manage the whole thing. We there are some situations where we walk in.
93 00:09:00.550 ⇒ 00:09:01.220 Sam Baxter: Oh, I see!
94 00:09:01.220 ⇒ 00:09:07.744 Uttam Kumaran: But for the most part we’re buying it, and we’re like managing everything.
95 00:09:08.250 ⇒ 00:09:10.739 Uttam Kumaran: And again, the only reason is, some of the
96 00:09:10.770 ⇒ 00:09:13.830 Uttam Kumaran: current installations are just brand new over the.
97 00:09:13.830 ⇒ 00:09:14.260 Sam Baxter: Yeah.
98 00:09:14.260 ⇒ 00:09:22.080 Uttam Kumaran: And so we’re not yet hit like a steady state of like what before, basically, basically for me to give a pitch for like that they need a capacity contract.
99 00:09:22.080 ⇒ 00:09:22.690 Sam Baxter: Right.
100 00:09:22.690 ⇒ 00:09:25.000 Uttam Kumaran: But we’re getting closer with some people.
101 00:09:26.128 ⇒ 00:09:30.520 Uttam Kumaran: We have about 4 currently live. And then we also have
102 00:09:31.220 ⇒ 00:09:34.260 Uttam Kumaran: that includes our internal. We have an internal instance
103 00:09:34.290 ⇒ 00:09:36.249 Uttam Kumaran: for like testing and things like that. So that’s.
104 00:09:36.250 ⇒ 00:09:36.760 Sam Baxter: Spiral.
105 00:09:36.760 ⇒ 00:09:37.850 Uttam Kumaran: When we
106 00:09:37.890 ⇒ 00:09:40.299 Uttam Kumaran: reach out about. But that’s like
107 00:09:40.430 ⇒ 00:09:43.885 Uttam Kumaran: that’s like an org. And then everything else is an account.
108 00:09:44.750 ⇒ 00:09:45.550 Uttam Kumaran: yeah.
109 00:09:45.940 ⇒ 00:09:51.029 Sam Baxter: Okay, let me try to pull up from your side. I didn’t know that you were on the management side of things.
110 00:09:51.890 ⇒ 00:10:05.330 Sam Baxter: so right now, as I’m pulling this up, you’re essentially pulling their data into your snowflake. Manage environment, running these analytics on top of it and delivering it back to them. Are you just like sending snapshots, or you recommendations, or do you have a ui built? How are you getting it back.
111 00:10:05.330 ⇒ 00:10:09.620 Uttam Kumaran: Yeah. So for every client, we, we create a new instance. So it’s not like their their data.
112 00:10:09.620 ⇒ 00:10:10.130 Sam Baxter: Link.
113 00:10:10.130 ⇒ 00:10:12.770 Uttam Kumaran: Into our instance. So every client.
114 00:10:12.770 ⇒ 00:10:13.560 Sam Baxter: Interesting.
115 00:10:13.560 ⇒ 00:10:14.659 Uttam Kumaran: Their own.
116 00:10:14.720 ⇒ 00:10:21.539 Uttam Kumaran: and that’s mainly because I don’t really want it’s none of the. It’s not necessary for us to have it all
117 00:10:21.760 ⇒ 00:10:24.689 Uttam Kumaran: in ours. And we’re not in a model where we’re like
118 00:10:25.030 ⇒ 00:10:38.940 Uttam Kumaran: charging a platform fee. And then we do something basically like it’s all pass through costs pays for all the infra, for now? So each of those clients individually has a snowflake on demand account. Right now.
119 00:10:38.940 ⇒ 00:10:41.091 Sam Baxter: Okay. I’m seeing that. Okay. But it’s all.
120 00:10:41.360 ⇒ 00:10:44.300 Uttam Kumaran: You see my email, or you see a variation of my email.
121 00:10:44.470 ⇒ 00:10:45.389 Uttam Kumaran: I don’t know how your.
122 00:10:45.390 ⇒ 00:10:45.970 Sam Baxter: Yeah.
123 00:10:45.970 ⇒ 00:10:46.450 Uttam Kumaran: You’ll see.
124 00:10:46.450 ⇒ 00:10:55.229 Sam Baxter: I think it’s all. It might all be under Brain Forge, and then you have certain subscriptions. So I see, like us East, us East 2, us Central and European London.
125 00:10:55.260 ⇒ 00:11:02.349 Sam Baxter: So you’re probably spinning up specific accounts underneath your org. Id. And each of those accounts is for your customer. Correct.
126 00:11:02.910 ⇒ 00:11:04.109 Sam Baxter: Okay, that makes sense.
127 00:11:04.110 ⇒ 00:11:06.622 Uttam Kumaran: Ideally, I think that’s what’s going on.
128 00:11:07.340 ⇒ 00:11:09.455 Sam Baxter: So that that’s what looks like for my side.
129 00:11:09.690 ⇒ 00:11:18.929 Uttam Kumaran: Okay, cool again. It just becomes a lot of accounts to deal with. But it’s it’s going well. And again, like it’s easy for me to sell Snowflake, and we
130 00:11:18.980 ⇒ 00:11:22.650 Uttam Kumaran: I backed the whole company based on doing snowflake implementations, because
131 00:11:22.670 ⇒ 00:11:33.020 Uttam Kumaran: that’s my background and what there’s a lot of appetite for but you’re exactly right, is some of our contracts right now are small in terms of having the appetite for
132 00:11:33.240 ⇒ 00:11:48.569 Uttam Kumaran: purchasing like an annual contract and snowflake. But like we’re getting there. Some of the people were just been the last 2 months working with them. So it’s not Snowflake set up. It’s getting like 5 train or Etl getting like snow pipe and other integration. It’s getting like, Dbt, so
133 00:11:48.610 ⇒ 00:11:51.610 Uttam Kumaran: yeah, scaffolding. But.
134 00:11:52.020 ⇒ 00:11:55.189 Sam Baxter: You’re okay, are you? Can I share what I’m seeing from my side?
135 00:11:55.190 ⇒ 00:11:56.130 Uttam Kumaran: Yeah, please.
136 00:11:56.450 ⇒ 00:12:02.829 Sam Baxter: Okay, so this is like sort of tableau dashboard that we use to to look into accounts that are on demand.
137 00:12:03.010 ⇒ 00:12:07.919 Sam Baxter: So essentially, this is how much you’ve consumed since you spin up your trial.
138 00:12:08.050 ⇒ 00:12:12.000 Uttam Kumaran: Yeah, so this is, this is probably our internal one.
139 00:12:12.350 ⇒ 00:12:13.660 Sam Baxter: Oh, okay, I see.
140 00:12:13.660 ⇒ 00:12:14.210 Uttam Kumaran: The.
141 00:12:14.210 ⇒ 00:12:16.990 Sam Baxter: That’s why I thought these these would all roll into that.
142 00:12:17.310 ⇒ 00:12:18.478 Sam Baxter: So I wonder if
143 00:12:18.880 ⇒ 00:12:19.800 Sam Baxter: yeah.
144 00:12:19.800 ⇒ 00:12:22.300 Uttam Kumaran: Tell you I could tell you what the other ones are.
145 00:12:22.300 ⇒ 00:12:27.110 Sam Baxter: Yeah, if you wouldn’t mind. Let me let me pull up another one. Just so. I don’t show you something. I’m not supposed to.
146 00:12:27.110 ⇒ 00:12:30.549 Uttam Kumaran: What’s easy is that, can I just give you the links, or like.
147 00:12:30.550 ⇒ 00:12:31.883 Sam Baxter: Give me give me the
148 00:12:32.150 ⇒ 00:12:39.190 Uttam Kumaran: I can. Also, I have all them, basically, like, you know, when you go into Snowflake and you hit you like your profile, and you can see the account list.
149 00:12:39.330 ⇒ 00:12:40.000 Sam Baxter: Yeah.
150 00:12:40.450 ⇒ 00:12:41.399 Uttam Kumaran: I have like all like.
151 00:12:41.400 ⇒ 00:12:42.800 Sam Baxter: Those org ids.
152 00:12:43.220 ⇒ 00:12:45.409 Uttam Kumaran: Can I just email you like a screenshot.
153 00:12:45.410 ⇒ 00:12:52.410 Sam Baxter: Yeah, that’d be easiest. The reason I’m thinking this is, if we could loop it all in, it might justify
154 00:12:52.780 ⇒ 00:12:54.170 Sam Baxter: contract.
155 00:12:54.170 ⇒ 00:12:54.520 Uttam Kumaran: Okay.
156 00:12:54.520 ⇒ 00:12:57.260 Sam Baxter: And get you access to some of this private preview stuff.
157 00:12:57.820 ⇒ 00:13:02.450 Sam Baxter: And hopefully, when you’re at the stage where they’re looking to own their own snowflake environment.
158 00:13:03.670 ⇒ 00:13:07.430 Sam Baxter: you know you have enough of this moving that the the cost can be justified. But
159 00:13:08.390 ⇒ 00:13:10.580 Sam Baxter: I don’t want to, you know, rush you in anything unless something.
160 00:13:10.580 ⇒ 00:13:16.539 Uttam Kumaran: Yeah, I you know, I that model like I’m familiar with where we would have everybody on ours. But
161 00:13:17.510 ⇒ 00:13:18.649 Uttam Kumaran: I don’t know just.
162 00:13:18.920 ⇒ 00:13:19.990 Sam Baxter: It’s more management.
163 00:13:19.990 ⇒ 00:13:22.879 Uttam Kumaran: It’s a lot of work to manage and do the security.
164 00:13:23.140 ⇒ 00:13:23.810 Sam Baxter: Yeah.
165 00:13:25.480 ⇒ 00:13:30.990 Sam Baxter: okay, so you are spending. Must I misunderstood that when I was reading the thing, sorry.
166 00:13:31.750 ⇒ 00:13:32.810 Uttam Kumaran: All good. I just.
167 00:13:32.810 ⇒ 00:13:34.800 Sam Baxter: I assume these were part of it.
168 00:13:34.800 ⇒ 00:13:39.710 Uttam Kumaran: I don’t know what those. Yeah, I don’t know what those cause I we don’t have a Europe London one, so I don’t know what.
169 00:13:40.970 ⇒ 00:13:41.510 Uttam Kumaran: Well, you.
170 00:13:41.510 ⇒ 00:13:42.570 Sam Baxter: See.
171 00:13:47.630 ⇒ 00:13:54.180 Uttam Kumaran: Okay, I emailed you a list. There’s duplicates under one of the accounts because it’s for some other user ids, we have. But.
172 00:13:54.180 ⇒ 00:13:55.040 Sam Baxter: Yeah.
173 00:13:56.020 ⇒ 00:13:58.470 Sam Baxter: let me try to pull it up once it comes through.
174 00:13:58.740 ⇒ 00:13:59.460 Sam Baxter: Chris.
175 00:14:02.440 ⇒ 00:14:06.899 Sam Baxter: Any idea how much everyone combined is how much.
176 00:14:06.900 ⇒ 00:14:07.280 Uttam Kumaran: Beautiful.
177 00:14:07.280 ⇒ 00:14:07.920 Sam Baxter: Bing.
178 00:14:09.220 ⇒ 00:14:13.040 Uttam Kumaran: I, honestly, it’s probably like less than
179 00:14:13.630 ⇒ 00:14:17.549 Uttam Kumaran: it’s probably like less than a grand a month like it’s probably not on.
180 00:14:18.230 ⇒ 00:14:18.960 Sam Baxter: Okay.
181 00:14:18.960 ⇒ 00:14:24.620 Uttam Kumaran: That’ll probably we have one bigger client. But again, it’s it’s fairly small in terms of capacity.
182 00:14:32.000 ⇒ 00:14:33.120 Sam Baxter: So is this
183 00:14:33.900 ⇒ 00:14:35.900 Sam Baxter: sorry that I’m a little confused here.
184 00:14:35.900 ⇒ 00:14:36.410 Uttam Kumaran: So like.
185 00:14:36.410 ⇒ 00:14:40.030 Sam Baxter: Let’s let’s say tie, let’s see the tired Ypb.
186 00:14:40.030 ⇒ 00:14:40.480 Uttam Kumaran: Yes.
187 00:14:40.480 ⇒ 00:14:42.609 Sam Baxter: Is that the is, that the name of the account.
188 00:14:47.180 ⇒ 00:14:49.030 Uttam Kumaran: that’s the organization.
189 00:14:49.330 ⇒ 00:14:50.510 Sam Baxter: Bob’s org.
190 00:14:50.830 ⇒ 00:14:55.640 Uttam Kumaran: So looks like there’s 4 organiz. There’s 4 organizations and 4 separate.
191 00:14:55.810 ⇒ 00:14:59.630 Uttam Kumaran: and those like the the iron B’s are. I guess the
192 00:15:00.390 ⇒ 00:15:01.750 Uttam Kumaran: the Users
193 00:15:02.990 ⇒ 00:15:03.600 Uttam Kumaran: Island.
194 00:15:03.600 ⇒ 00:15:04.280 Sam Baxter: But it
195 00:15:05.650 ⇒ 00:15:07.680 Sam Baxter: yeah, looks like that’s the users
196 00:15:08.040 ⇒ 00:15:12.049 Sam Baxter: do. Could you just give me one like one name that you might have spun it up under.
197 00:15:12.706 ⇒ 00:15:17.073 Uttam Kumaran: Yeah, you can look up like pool parts to go like POL. Parts to go.
198 00:15:22.390 ⇒ 00:15:23.750 Uttam Kumaran: yeah. Try that.
199 00:15:24.730 ⇒ 00:15:26.520 Sam Baxter: I can’t find that.
200 00:15:27.480 ⇒ 00:15:28.909 Uttam Kumaran: Or ours
201 00:15:29.840 ⇒ 00:15:34.160 Uttam Kumaran: for asset link like a Ss, ETLI, NK.
202 00:15:41.470 ⇒ 00:15:42.310 Sam Baxter: Trust.
203 00:15:43.220 ⇒ 00:16:05.429 Sam Baxter: Okay, let me I don’t wanna waste all the time trying to organize it from my side. Let me let me go back and and try to get access to that. It could be, in instance, where like, I got your account needs my name because of the the ticket that was put in. And so now let me see where those are at. Since it’s not running underneath a brain forge, even though you are managing it.
204 00:16:05.430 ⇒ 00:16:05.850 Uttam Kumaran: Yeah.
205 00:16:06.140 ⇒ 00:16:10.789 Sam Baxter: That’ll be the interesting piece, though. Right is that I don’t know how from our side.
206 00:16:11.030 ⇒ 00:16:21.690 Sam Baxter: you know, if you are wanting access to this and and building out your environment. Our starter contract through snowflake is is 10 k. For a 12 month period.
207 00:16:21.690 ⇒ 00:16:22.150 Uttam Kumaran: Yeah.
208 00:16:22.343 ⇒ 00:16:23.700 Sam Baxter: And so I don’t know if that’s
209 00:16:23.960 ⇒ 00:16:25.369 Sam Baxter: within range of what.
210 00:16:25.370 ⇒ 00:16:28.129 Uttam Kumaran: Probably like within rain for one of our clients.
211 00:16:28.340 ⇒ 00:16:31.539 Uttam Kumaran: So like. But but the thing is again, they’re all separate accounts.
212 00:16:31.690 ⇒ 00:16:32.560 Sam Baxter: Yeah, so.
213 00:16:32.560 ⇒ 00:16:36.800 Uttam Kumaran: So it’s not like they’re not. All. Their capacity is not hitting one account.
214 00:16:37.220 ⇒ 00:16:38.929 Uttam Kumaran: It’s all separate.
215 00:16:39.490 ⇒ 00:16:43.840 Uttam Kumaran: which again, it just works, cause they’re not related at all, except that they all like.
216 00:16:43.840 ⇒ 00:16:54.199 Sam Baxter: Yeah, let me let me take it back. Let me, if you’re okay with it, let me take that that back. I would assume that it? If all that can be combined underneath your org, would you be open to having that conversation? You get access.
217 00:16:54.200 ⇒ 00:16:57.188 Uttam Kumaran: Yeah, I would. Yeah, I would consider doing that. And then
218 00:16:57.673 ⇒ 00:17:03.470 Uttam Kumaran: I guess it would be helpful. Also, if you have any, I mean again, we’re in a unique spot, because we’re just kind of getting started. And some of these.
219 00:17:03.470 ⇒ 00:17:04.089 Sam Baxter: Yeah.
220 00:17:04.099 ⇒ 00:17:18.979 Uttam Kumaran: Cool. If we walk into an existing client, though again, if they already have stuff like, then the it’s kind of under them, and we kind of come in just as an engineering support. But for the ones that we’re starting, yeah, all these we basically own and have been like from
221 00:17:19.009 ⇒ 00:17:21.309 Uttam Kumaran: putting the credit card down all the way till now.
222 00:17:21.319 ⇒ 00:17:28.469 Uttam Kumaran: Yeah. So yeah, if there’s any way to to do that again, I’m a little bit hesitant to move every all the data.
223 00:17:28.549 ⇒ 00:17:35.299 Uttam Kumaran: but I don’t know if, like, there’s a way to sign, or I could even having the conversation with if we can pay it, and then pass some costs
224 00:17:35.479 ⇒ 00:17:38.719 Uttam Kumaran: back to the client or something. I’d be open to it.
225 00:17:39.000 ⇒ 00:17:46.910 Sam Baxter: Yeah, I would. I would think that’s probably a a good route. To go right is just bill back through them. And this would get you access to things, and at least have, like an additional support team to help.
226 00:17:46.970 ⇒ 00:18:03.860 Sam Baxter: What’s all? What like the little pieces around having a contract to? Are, you can ping me and say, Hey, I might be enough support from the from the partnership team, and I can go annoy someone until you get what you need right? That could that could mean something. So let me, but I think the biggest piece here, outside of start a contract of 10 K. Is really.
227 00:18:03.930 ⇒ 00:18:10.730 Sam Baxter: can we loop? Can we put those other organizations under one? And without affecting the contracts you have in place for your customers and the security.
228 00:18:10.730 ⇒ 00:18:11.850 Uttam Kumaran: Yeah. Peace.
229 00:18:12.064 ⇒ 00:18:15.500 Sam Baxter: So let me let me take that back. I might ping you with more questions on.
230 00:18:15.500 ⇒ 00:18:24.389 Uttam Kumaran: Sure. Yeah, feel free to email me, whatever you need it. Yeah, I appreciate you looking into. I’ve I’ve tried to go through this process before, and it was just like I’m talking to like too many people, and I was like.
231 00:18:24.390 ⇒ 00:18:27.240 Sam Baxter: Yeah, alright. Well, come, come through me. I’ll get you.
232 00:18:27.240 ⇒ 00:18:28.000 Uttam Kumaran: Yeah, that’s right.
233 00:18:28.000 ⇒ 00:18:29.539 Sam Baxter: I can. I’ll annoy people for you. Don’t worry.
234 00:18:29.540 ⇒ 00:18:41.200 Uttam Kumaran: Okay, cool. That’s cool. Cool. Yeah. You know, I’ve I’ve worked with Snowflake for for a long, long time, like I’ve had so many different like account people there. I was first bought through Scott Sheridan, who was like on the sales side.
235 00:18:41.200 ⇒ 00:18:44.574 Sam Baxter: Okay. I think I’ve heard of him, but we were so big now I don’t.
236 00:18:44.800 ⇒ 00:18:46.830 Uttam Kumaran: Yeah. And then Matt Hill, who’s like heather.
237 00:18:46.830 ⇒ 00:18:47.360 Sam Baxter: Oh!
238 00:18:47.360 ⇒ 00:18:48.820 Uttam Kumaran: Agent, something.
239 00:18:49.150 ⇒ 00:18:49.980 Sam Baxter: Like name.
240 00:18:49.980 ⇒ 00:18:52.302 Uttam Kumaran: Yeah, I know Matt pretty well.
241 00:18:52.690 ⇒ 00:18:58.670 Sam Baxter: I might reach out to him on this. I think he’s focused more on the what we call powered by Snowflake side. I don’t know if you ever.
242 00:18:58.670 ⇒ 00:18:59.220 Uttam Kumaran: So, yeah.
243 00:18:59.220 ⇒ 00:19:00.470 Sam Baxter: On Snowflake, but.
244 00:19:00.470 ⇒ 00:19:08.528 Uttam Kumaran: I I talked to him like maybe a year ago, about some of this AI stuff. It was just starting. And then now it’s like all come, he was like, Yeah, it’s probably gonna take a year. And I was like, Okay,
245 00:19:08.720 ⇒ 00:19:09.410 Sam Baxter: Yeah.
246 00:19:09.410 ⇒ 00:19:16.020 Uttam Kumaran: But I’ve been like, Yeah, I’m big fan of the product, and some of these are gonna grow. So I was just waiting to have the conversation at some point so.
247 00:19:16.020 ⇒ 00:19:16.510 Sam Baxter: Yeah.
248 00:19:16.510 ⇒ 00:19:23.650 Uttam Kumaran: But we can kind of do that. And it everybody is gonna end up their own account. But again, we’re managing all of their accounts and.
249 00:19:23.650 ⇒ 00:19:24.750 Sam Baxter: I schedule.
250 00:19:24.750 ⇒ 00:19:25.190 Uttam Kumaran: And again.
251 00:19:25.190 ⇒ 00:19:25.920 Sam Baxter: Yeah.
252 00:19:25.920 ⇒ 00:19:27.739 Uttam Kumaran: Basically as soon as they can use it.
253 00:19:27.740 ⇒ 00:19:40.146 Sam Baxter: Yeah. And if getting a contract in place can help you at least get access or answers quicker for your customers, you know a. And even if they spin off later, you might find smaller accounts you bring in, and we can just do the same thing with
254 00:19:40.920 ⇒ 00:19:52.250 Sam Baxter: So let me let me go back. Confirm if we can’t even do it. I want to over promise anything but I would assume, if we can loop it underneath. There, you’re interested in that started contract piece, and then we can. We can move from there.
255 00:19:52.250 ⇒ 00:19:53.359 Uttam Kumaran: Cool. Okay.
256 00:19:53.360 ⇒ 00:19:58.350 Sam Baxter: Alright awesome. Well, thanks, man, I I appreciate it. And let’s let’s let’s start a different email thread. It’s a.
257 00:19:58.350 ⇒ 00:19:59.299 Uttam Kumaran: Yeah. Yeah. Yeah. Totally.
258 00:19:59.300 ⇒ 00:19:59.850 Sam Baxter: Vegas.
259 00:19:59.850 ⇒ 00:20:00.725 Uttam Kumaran: Oh!
260 00:20:01.600 ⇒ 00:20:04.900 Sam Baxter: Alright. Well, it was nice meeting you. I’ll get you an answer soon. Alright!
261 00:20:04.900 ⇒ 00:20:05.790 Uttam Kumaran: Alright. Thank you.
262 00:20:05.790 ⇒ 00:20:06.370 Sam Baxter: Bye.