OWAL Startup Profile - Ex-Googler Cloud AI Video Platform

By Sean Patton, Published May 29, 2019, 11:50am EDT

OWAL, a NYC-based startup developing AI video analytics, is aiming to "improve the quality of life" within high-rise apartments, and commercial property management markets.

** ***** ** **** (pronounced **** *** ****), to ****** ********** ***** approach, ****** ***********, *** how **** **** ** grow *** ***** ***** platform.

** **** **** ** look **:

  • *** ** ****
  • **** ********* ** **** Targeting
  • **** ** ****'* **-**-******
  • **** **** ** *********
  • *** **** **** ** Cost
  • **** *** ************ *** Offered
  • *** ** **** ***** Custom ******** ******
  • **** ******** ** ********
  • ****** *****

OWAL ********

******* ** ****, *** US-based ** ***** ********* company******* * ****-**** *********, ********* ********* *********** focused, **** ********** ** machine ******** *** *********** hardware/software ********* *********. ******* by***** *****, *** **** ** was *** ********* '****** ******** *** Enterprises' *** '********* *** Meetings', ** ******** ** management ********** ** *********/*****. Machine ******** *********** ** lead ******* ********, ******* **-******* *** worked ** ******** ****** analytics *** ****** **** OCR ********** ************.

****'* ************ ** ** Brooklyn, **, *****'* **** ****** ***, ** **-******* *********. Their ******* ******* ** undisclosed, *** **** ***** several *********** **** **** received, *** **** *** planning ** ***** ********** Seed/Series * *****.

****-**** **** *** ****** Detection / ***** ******** Management *****

**** ****** ****-**** ********* of ** "****-********* ****" of *******, ********* ******, vehicles, ****, *****, ********, packages/freight, *** *****. **** said **** *** ********* large *********** *** ********** property ********** ********* ********* in ***** ***** ***** in ***** *** ***** America. ** ***** *********** ****** ******** ******* * **** for **** *********** ** verify ********/********* ** ********* and ******.

**** **** **** **** for ******* ***** **** can ****** "*** ****** positive *****", ************ ********** developing **** *********** ******** for *********-**** ********** ** patients ** ********-****** *******.

**** *-****** ********* ***** pitches *** ********:

Privacy ******** / ** ****** ** *** **************

**** **** **** *** concerned **** ****** **** customers ******* ***** ******* laws, **** *** *** interested ** ******* ** corrections/prisons, *** *********** ** small ******** ********** ********* that ***** *** **** "firewalls" ******* ***** *********/******** and ******** **********.

**** **** ** *** provide *************** *** ****** identification *** ***:

** ** *** ******* that ******** **** ****** ever ** **** *** marketing *** ********** *******. Since ***** *************** ** not (** ** ***) serve * ******** ********* need, ** **** ****** not ** ******* **** functionality.

Hybrid ***** / ***** ********* ********

**** **** **** ***** camera-direct-to-cloud *** *********-***** **-******* solutions, ********* ** *** number ** ******* *** reliability ** *** ******** connection. ****** **** ** video *********, **** **** theirs *** ***/*** ******** agnostic, ********* ***** ***** from******************, ***** *** ********* by ****** *** *** Intel *** *************.

**** ******* * ******* of ~****** *** **** recognition *** **** **** it ******** ******* ** ~200PPF. **** **** **** process *.***, *.***, *** MJPEG **** *******, ******** at ***** ** *** resolution. **** **** **** also **** ************ ********* encoded ****** ******* **** 380x260 **********.

**** ****** * ************** of **-******* ********, ******** local ***** *********, *** 3 ** *** ****** include * ** **** NVIDIA **** *** ***** analytics **********. **** **** the ********** **** ******* real-time **** *********, ***********, and **************, ***** ***** other ********* *** * hybrid ********. **** ***** the ********* ******** ****** detection ********* ***** ***-******* models, ***** ******** ****** classification ** ********* ** cloud-hosted *******.

Custom ********* ****** / ***** ********

**** ****** *** ** their ******* ********* ** flexibility *** ********** ** quickly ******** ****** ******** models, *** *********/******** ****** datasets **** ***** ******** and ************ ** ****** with *** - *,*** sample ****** ********* ** the ********** ** *** object *********. **** ** significantly ***** ******** ****** that ******* **** ****** based ****** ***** ** trained **. **** **** said **** ***** ***** models **** ******** **** include ***** *** *****, and ************ ***** ******.

*** ******** ******* **** offered ** * ***** that ******* ** *** equipment ** ** *** through ****** *********, *** that **** ** *** to ** *** **** tenants *** *** ** see **** ********* ** available, ***** *** ****** tenants ****** ** *** video, **** * ******* of ********* *** ******** gym *********.

Web ******, ******* ********* / ** ******** *** ************

**** ** ********* **** with * *** *********** for ******* **** ***** with ******** *** ******** plus ********* ******* ******** video. **** **** ***** MMS ******, ***** ********* integration, *** ********* **** ******* ***. ***** ******* ******** design ***** ** * clean ********* **** ******* steps *** ******** *********** to ****** ******.

**** **** **** **** ingest **** ***** ******* from ***-***** ***** *** perform *** ** ***** analytics, *******, **** ** not ********* *** ****** or ******** ***** **** into *** ***. *** customer ***** *** **** for ***** *** ***** notifications. *** **** **** do *** **** ****** VMS *********** ** ***** roadmap.

*******

**** ****** * ******** subscription ******* *** *** analytics:

  • *** ********* ******/*******/****** ********* models********* *** **** ***********: $10 *** ****** *** month ($*** *** ***** minimum)
  • ******* ***** ***********: $** per ****** *** *****
  • *******/******* **** ***** *********: $15 *** ****** *** month
  • **** *********** $** *** camera *** *****, **** a ******* *** *** person ** * ***** database. **** ******* ******** 1 **** ** ***** storage *** ***** ******** ($350 *** ***** *******)

*** ******* ********** ***** in ******* **** $*** - $*,*** *** *** support ****** ********* ** as **** ** *** cameras ** *** **** expensive ******, ** **** recognition ** ** - 50 *******.

**** **** **** **** camera ************ ******** * week ** ***** *******, and ********** ******* ** available *** ** ******** addition. **** ***** **** customers *** *** ***** Face *********** ************* ********* purchase * **** ** storage.

Primarily ****** ***** / ******** ** ***** *******

**** ***** ****** *** has * ******* ********** network, *** ***** **** want ** ******** ***** integrator **** ** *********** scale ***** ***** *** support ************ *** **** their******** ** **************** ** ******** **** task. **** **** **** will ****** ****** ****** with **** ***** ********** property ******.

Comments (2)

Very niche unless LPR does not require a minimum.

Agree
Disagree
Informative
Unhelpful: 1
Funny

If I had a nickel for every Ex-Google, Ex-Amazon, Ex-Microsoft engineer that believes they could be successful in the surveillance/security market by the merits of the technology (i.e. using "AI analytics",) I would be rich.  What "they" fail to understand is that it is not a technology problem - it is a sales/marketing problem that deserves more attention.  Detecting objects is not solution, it is what you do with it.  100-1000 images for training will not yield an accurate model.  

NOTICE: This comment has been moved to its own discussion: AI Startups - What They Fail To Understand Is That It Is Not A Technology Problem - It Is A Sales/Marketing One

Agree: 2
Disagree
Informative: 1
Unhelpful
Funny
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