Sighthound Transforms Into Enterprise AI Provider Profile

By Sean Patton, Published Jun 14, 2019, 10:18am EDT (Info+)

Sighthound is now rapidly expanding its R&D team, building an enterprise AI service. This may come as a surprise given their origins 6 years ago acquiring a small residential analytics offering (Vitamin D).

Why the change?

** ***** **** ********** ** ********** what ******* ***** ********* *********, *** they ******** ***** ********* *** *** differently, *** ***** **** **** ** grow ** ** ************ ******* ******:

  • *** ** **********
  • **** ******** ** **** *****
  • **** ********* ** ********** *********
  • **** ** **********'* **-**-******
  • **** **** ** *********
  • *** **** **** ** ****
  • ******* *** ****** *****

Sighthound ********

***** ** *******, ********** ** **** by********/*** ******** ******************/*** ** *******, *** **-******* (**** ******) *****, an ********** *********** ***** ******** (***) SaaS ********, ***** *********** ** ****** ******** ** **** for ~$*** *******. **** ********* **** ****** ********* at *****.

**** ***** ********** *** ******* **** this ***** ** ****** ********* *****, they *** ****** ** ********* ** the ***** ** ******.

*********, **** ***** ** ******* ***** analytics ** **********, *******, **** **** they ***** **** ************ ********* ******* performed ******.

**** *** **** *** *****, **** have ***** ***** *** ******** ****, reporting ** *********, ~** ** ***********. For * ***** ************ **, **** is * ********** ******** ****. ********, they *** **** *** ******** ** double ** **** ** *** *** of *** ****.

********** ***** **** *** ****-****** ***** on ********** ***** **** ******** *********, claiming * ***** ********** ** ******** building, ********* ** ******* ************.

VMS / ********* / **** *********

********** ****** * ******** *******:

  • ********** ** *********: **** ** **** ** ********* into ***-***** ************ (*.*. ***, ***). Intel, ******, *** ********* **-***** **** learning *********. ******* *** ****** *********, vehicle *** **** ***********, ***, ******* type **************, **** *********.
  • ***** ***:***-***** ***: ****** ******, ****, ******, ***, and ****** ******** *********. **** *** developers *** **** *** *** **** for ********** ***.
  • ********: *** *** ********** ******* ****, on-premise **-***** ****, ******, ******* *** license ***** ************.
  • ********** ***** ***: *********** *** *** ******* ***, originally **** **** ******* * ***********. Runs ** ******* *** ***, **** native ** ********* *** ***** ****** support.

Significant **** ********* ******

********** ************** ***** ******* ******* ******* *** grew **** *,***% ********* *** *******. ******** ***** ~$*,*** ** ** annual ************ (**** **** ** * perpetual ******* **** ******** ***********), *** is ********* **** ** *** ******** and ******* ***********, **** **** ***** public ****** ******** ********** ******. **** said **** * ** *** * largest **** ******** ****** ************'* *** Redactor, *** ***** *** ******** *****.

** *******-***** **** ** *********, *** ** ***** **** ** performed ****. ** ******** *** ***** and **** ****** ** *** **** video. ** ******* * **** ** objects ********, ***** ****** **** **** of *** ***** *** ****** **** detected ******** ***** ** *** *******. It **** ******** ****** *********** ** the ***** **** ** *** ********:

** ****** ********* ** *****, ******, License ****** *** ********, * ********* types (*.*. ****, ********, ******), ***** redaction, ********* *********. ****, ** ****** manual ********* ** *** ***** ** people **** **** ****** ** *********.

***** *** * ******* ****** ** redaction ************, ******* ** *** ***** of******* ***************** ***** ********.

Enterprise *** *********

********** ******** ~** ********** ** ****** ********* (e.g. *******, ******, ****, ***, *****, etc.). **** ******** ******** ******** *************** based ** **** **** ******** *****:

  • *******: *****, ****, *****, *******, ******* plate
  • ******: ****, ***, ******, *******, **** color, ****

********** **** ***** ********* *** ******** agnostic, ******* ** *****, ***, *** NVIDIA, *** ***** *+ ***** ********** and ********** *** ****** ******** ** run *********** ** **** ******** ************. They ***** **** **** ** ***** model ******** ** ********* ** ****** GPU *** *****, *** ***** ***** Xeon **** **** **** ***** ******** and ***** **** ********.

**** ******** **** *** ******* *********** for ***, ***** ** **** ******** based, *** ***, **** ********* ~******, but ***** ***** ******* ********* ** "can * ***** **** *** *****?".

**** *********** ** **** *********** ** ~100PPF, *** **** **** ** **** detect *** ****** ******* ** ** low ** *****.

Hosted ***** *** *********

**********'****** *** ******* (****** **** ********* here)****** ********* *** * ***** ***** similar ******** ***********. ** ****** *** **** ***** of ********* ** ********** **, *** is ****** *** ** **** ** blocks ** *** ***** ** *** party **********. ********** ***** **** ****** does *** ***** ******* ***** ********* or **************, *** **** ********** ****** more ********** ***********, ******** ****** *** on-premise *********.

***** ** * ****, ***-********** *** version, ** ******** ** * ***** of **** ********** ********:

**********'* ******* ** ******* ******** ************* *** ***** *** *** ****** but ************* **** ********* *** ********** (Rekognition ***** $*,*** *** ** ******* API *****, ******** ** $*,*** *** Sighthound).

*** ********** *** ****** *** * huge ****** ** ******** ********* *** already *** *** ******* *** *** easily *** ** ********** ******** **** Rekognition.

** **** *** **** *********** ******* of *** *** *** ********** **** need ** ***** *********** *************** ** compete ******* ****** *** **** *****.

Neural ******* ******** *****

******** *** ********** ****** ******** **** properly ******* *** ******* ******** ** critical ** *** *********** ** **** learning *********(*** **** ******** *******, **** ******** ******** ******** *** ***** ************). ********** **** ********* ** *** complexity ** *** ****** ** ******** detection ********, **** *****,*** - ***,*** ******** ******, ***** public *** ********* ******* ********. **** said **** **** ********** ******** ***** libraries ** *-* ******* ******.

**** *-****** ***** ************ ******** *** testing **** *********** **** **********:

VMS ********* *********** / ***

********** **** *************** ***** *********** ** ********* **** ** *********** systems, ** *****/****** ******** ********. ********** Video******** *** ***** ** *** *** cameras******* *****/****, *** ** *** ***** their *** *******. ************, ** ****** server-based ** ********* *** ****** *********, but *** **** *********** ** ***************. There *** * ******** ** *** VMS:

  • ****: ****** ******, ****** ********** ******* to *******
  • *****: $** *** ******, ** ** 2 *******, ** ****** ********** *****, Dropbox/Google ***** ***********. *** *** ********* support $** *** **** (***** **** 1).
  • ***: $*** *** ******, **** ** Basic, ** ******** ****** *****. ******** SMA *** ********* ******* $** *** year (***** **** *).

**** **** ~***,*** ***** ***-**** ************** ********** *****, **** * **-**% ********** **** to ***** ** ***.

**-**-******

********** *** ********* **-**-****** ********** *** each ******, *** ********* *** **** analytic ****** *** **** *** *** products:

  • ********** ***** *** ** **** ** download *** **** ****** ******* **********'* website.
  • ******** ** ********* **** ** ** OEM ******** ****** *** ******* ***********, with **** ***** ****** ****** ******** purchasing ******.
  • ********** ** *** ***** *** *** primarily **** ** *** ******* ****** to ******** *************.

Roadmap ***********

********** **** **** **** ** ********** development ** ********* ******, ******** ** upgrading ********** ***'* **** *********, ***** they **** ***** * *******. ********** also **** **** **** ** ********** new ******* ************ ****** ****, *** **** ** ********** ***** marketing ********.

Risks *** **********

***** *** ******** ******** *** ******** as * ***** ******* *** *** residential *** ***** ** * ***** small ********, *** **** ****** ** the ******* ** ****** ** ***** OEMing *** **** ******** ** *********. Analytics **** **** ************ ********* ** many ****** ********* **** ** ******* their ***. *** ** ***** ********* SaaS *** **** ********** ** ***** surveillance, ***** **** ******** ** ** a ********* ***** ***-***** *** ******** are ******** ** *** ******.

******

*** ** ***** *** ******* ** that **** **** *********** ***** *** experience ** ******** ***** ********, ****** them * ********** ********* ** ******** this ********. ** *** ***** ************ market ******* ** ******* **** *******-***** AI *********, ********** *** * ****** to ****** * *********** ******.

Comments (1)

If you need 10M API calls, you can save $4 a month by buying 5 x 2M API licences .  ,,😀

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