1
00:00:00,648 --> 00:00:01,189
Yeah.

2
00:00:01,189 --> 00:00:01,829
It does seem

3
00:00:01,829 --> 00:00:02,675
like you guys

4
00:00:02,675 --> 00:00:03,134
are more AI

5
00:00:03,134 --> 00:00:04,267
enabled

6
00:00:04,267 --> 00:00:05,023
than most.

7
00:00:05,023 --> 00:00:05,386
I

8
00:00:05,386 --> 00:00:06,257
Absolutely, and

9
00:00:06,257 --> 00:00:07,117
I always use

10
00:00:07,117 --> 00:00:08,028
the word that

11
00:00:08,028 --> 00:00:09,369
this is

12
00:00:09,610 --> 00:00:11,031
not a small

13
00:00:11,031 --> 00:00:12,152
improvement.

14
00:00:12,152 --> 00:00:12,582
This is a

15
00:00:12,582 --> 00:00:13,342
game changer.

16
00:00:13,342 --> 00:00:14,152
So I used

17
00:00:14,152 --> 00:00:15,303
to hear

18
00:00:15,563 --> 00:00:16,344
us say a

19
00:00:16,344 --> 00:00:17,225
lot

20
00:00:17,225 --> 00:00:17,955
that, we can

21
00:00:17,955 --> 00:00:19,046
model

22
00:00:19,086 --> 00:00:20,196
in days instead

23
00:00:20,196 --> 00:00:20,847
of weeks.

24
00:00:20,847 --> 00:00:21,648
And

25
00:00:21,648 --> 00:00:22,278
then when I

26
00:00:22,278 --> 00:00:22,928
actually tried

27
00:00:22,928 --> 00:00:23,599
it myself, so

28
00:00:23,599 --> 00:00:25,110
I come with

29
00:00:25,230 --> 00:00:26,431
actually a very

30
00:00:26,431 --> 00:00:27,372
minimal modeling

31
00:00:27,372 --> 00:00:28,472
background.

32
00:00:28,813 --> 00:00:29,384
But I will,

33
00:00:29,384 --> 00:00:29,944
with the help

34
00:00:29,944 --> 00:00:30,714
of

35
00:00:30,871 --> 00:00:31,981
Ada,

36
00:00:32,161 --> 00:00:32,772
our agentic

37
00:00:32,772 --> 00:00:33,942
platform

38
00:00:34,087 --> 00:00:36,608
and AI,

39
00:00:36,668 --> 00:00:37,449
the whole burden

40
00:00:37,449 --> 00:00:38,769
of modeling

41
00:00:38,769 --> 00:00:39,349
can be done

42
00:00:39,349 --> 00:00:39,966
in,

43
00:00:39,966 --> 00:00:41,830
I would say

44
00:00:41,830 --> 00:00:42,790
hours, if you are

45
00:00:42,790 --> 00:00:43,521
fairly data

46
00:00:43,521 --> 00:00:43,986
ready.

47
00:00:43,986 --> 00:00:45,807
But from setting

48
00:00:45,807 --> 00:00:46,537
up the pipelines

49
00:00:46,537 --> 00:00:47,267
to the actual

50
00:00:47,267 --> 00:00:48,541
model to getting

51
00:00:48,541 --> 00:00:49,448
a reasonable

52
00:00:49,448 --> 00:00:49,778
number of

53
00:00:49,778 --> 00:00:51,085
scenarios out.

54
00:00:51,085 --> 00:00:51,515
It could be

55
00:00:51,515 --> 00:00:53,016
hours or days.

56
00:00:53,077 --> 00:00:54,038
I have built

57
00:00:54,038 --> 00:00:55,239
personally

58
00:00:55,239 --> 00:00:55,770
eight to 10

59
00:00:55,770 --> 00:00:56,320
models in a

60
00:00:56,320 --> 00:00:57,381
month

61
00:00:57,421 --> 00:00:58,683
that got done

62
00:00:58,683 --> 00:00:59,243
just within

63
00:00:59,243 --> 00:01:00,024
hours and they

64
00:01:00,024 --> 00:01:00,654
were across

65
00:01:00,654 --> 00:01:01,805
different

66
00:01:01,846 --> 00:01:02,446
use cases.

67
00:01:02,446 --> 00:01:02,997
So some were

68
00:01:02,997 --> 00:01:03,517
network

69
00:01:03,517 --> 00:01:04,208
optimization,

70
00:01:04,208 --> 00:01:05,289
some were pure

71
00:01:05,289 --> 00:01:05,980
transportation

72
00:01:05,980 --> 00:01:07,151
routing,

73
00:01:07,151 --> 00:01:07,942
know, fleet

74
00:01:07,942 --> 00:01:08,792
optimization,

75
00:01:08,792 --> 00:01:09,333
sizing the

76
00:01:09,333 --> 00:01:10,294
fleet.

77
00:01:10,294 --> 00:01:11,315
Everything is

78
00:01:11,315 --> 00:01:12,266
becoming like an

79
00:01:12,266 --> 00:01:12,906
hour's play

80
00:01:12,906 --> 00:01:13,924
instead of like

81
00:01:13,924 --> 00:01:14,594
weeks and weeks

82
00:01:14,594 --> 00:01:15,305
of work.