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Natix - Data Curation Networks with Alireza Ghods
Guest: Alireza Ghods PHD
Hosts: Phil Bonello and Tommy Eastman
Sections
00:20 Introduction
06:40 Natix product suite
10:45 Network effect applications
12:45 Value proposition in emerging markets
14:55 Market for map data
19:30 Use case example
22:00 Limitations of hardware today
25:30 How is data captured and analyzed
29:40 Why sample data
32:45 Status of Natix
36:40 Comparison to Hivemapper
42:30 Future plans
47:00 Get in touch
Diclaimers
This content is provided for informational and educational purposes only and should not be relied upon as financial, legal or tax advice. Prior to making any investment decision, you should consult with professional financial, legal and tax advisors to determine the appropriateness of the risks associated with such an investment. No assurance can be given that the objectives of a particular investment will be achieved or that an investor will receive a return of all or part of his or her investment. All investments involve the risk of loss, including the loss of principal. In no event shall Plaintext Capital Management LLC (“Plaintext”) or any of its affiliates be responsible or liable for the correctness of any material discussed herein or for any damage or lost opportunities resulting from the reliance upon such material.
References in this podcast to any specific securities or digital assets are for illustrative purposes only and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors. Plaintext and/or its clients may maintain positions discussed on this podcast.
Certain information discussed or presented in this podcast may have been obtained from third-party sources. While taken from sources believed to be reliable, Plaintext has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation.
Any projections, estimates, forecasts, targets, prospects and/or opinions expressed during this podcast are subject to change without notice and may differ or be contrary to opinions expressed by others.
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By Plaintext Capital Management LLCGuest: Alireza Ghods PHD
Hosts: Phil Bonello and Tommy Eastman
Sections
00:20 Introduction
06:40 Natix product suite
10:45 Network effect applications
12:45 Value proposition in emerging markets
14:55 Market for map data
19:30 Use case example
22:00 Limitations of hardware today
25:30 How is data captured and analyzed
29:40 Why sample data
32:45 Status of Natix
36:40 Comparison to Hivemapper
42:30 Future plans
47:00 Get in touch
Diclaimers
This content is provided for informational and educational purposes only and should not be relied upon as financial, legal or tax advice. Prior to making any investment decision, you should consult with professional financial, legal and tax advisors to determine the appropriateness of the risks associated with such an investment. No assurance can be given that the objectives of a particular investment will be achieved or that an investor will receive a return of all or part of his or her investment. All investments involve the risk of loss, including the loss of principal. In no event shall Plaintext Capital Management LLC (“Plaintext”) or any of its affiliates be responsible or liable for the correctness of any material discussed herein or for any damage or lost opportunities resulting from the reliance upon such material.
References in this podcast to any specific securities or digital assets are for illustrative purposes only and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors. Plaintext and/or its clients may maintain positions discussed on this podcast.
Certain information discussed or presented in this podcast may have been obtained from third-party sources. While taken from sources believed to be reliable, Plaintext has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation.
Any projections, estimates, forecasts, targets, prospects and/or opinions expressed during this podcast are subject to change without notice and may differ or be contrary to opinions expressed by others.