Geospatial Innovation: SenSat

October 8, 2019

Last week, there was conference chatter about geo-spatial technology. The conference focused on LE and intel technology and knowing where an entity is remains an important capability for certain software systems.

There was also talk in one of my sessions about “innovation drift.” This is my way of characterizing the movement of “good ideas” from the US to other countries. “Drift” is inevitable: Economic, political, and social pressure ensures that digital ideas move.

I noted this morning (Sunday, October 6, 2019) the article “Tencent Leads $10 Million Investment in SenSat to Create Real-Time Simulated Realities.” The write up reported:

SenSat, a geospatial technology startup that digitizes real-world places for infrastructure projects, has raised $10 million in a series A round of funding led by Chinese tech titan Tencent, with participation from Russian investment firm Sistema Venture Capital.

SenSat processes satellite and other imagery. Then the company’s software constructs representations of what’s on the ground. The write up pointed out:

[SenSat] said it translates the real world into a version that can be understood by machines and is thus suitable for training artificial intelligence (AI) systems.

DarkCyber noted this statement in the write up:

SenSat constitutes part of another growing trend across the technology spectrum: the meshing of large swathes of disparate data to generate real and meaningful insights.

The technology developed by SenSat, founded in London in 2015, is interesting.

For DarkCyber, the most important information in the write up was the assertion that the company has obtained financial support from companies in China and Russia.

The idea, DarkCyber believes, is that the technological drift is not going to be left to chance. Reconstructions like the ones generated by SenSat, Cape Analytics, and others are likely to make the targeting options of nanodrones more interesting.

Drift is one thing; directed and managed technology drift is another.

Stephen E Arnold, October 8, 2019

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