We love

Empowering great retailers to do greater things

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We care about

Building AI powered sustainable, predictive and collaborative inventory sales planning tools requiring minimal IT commitment that increase margins and reduce retail waste.

We create opportunities for your people

And we’re committed to building the time saving tools to manage the tasks and processes that take away from their ability to innovate and think outside of the box.

We innovate

Because we believe that the more things stay the same, the more things stay the same – and that’s just not how we stay ahead of the curve

train = data [: (int( ( len(data)*0.8)))]

We believe in your people and ours

Our ethos is one of a sustainability focused, ethical and socially impactful nature. We foster a climate of awareness and inclusion at every level of operation in a multicultural and gender neutral environment we are proud to call home.


in Press

FIND Innovation Labs to Sponsor The Lead Classroom

Marquee invite-only industry event empowers top retailers with cutting edge technology insights to successfully navigate COVID-19 disruption . Vancouver, BC - August 25th, 2020 - FIND Innovation Labs (FIND) announced…
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in Press

FIND to provide predictive AI to NetSuite’s inventory planning customers

Vancouver, July 5 2020: FIND A.I., a Vancouver based developer of retail focused A.I. solutions today announced the start of their partnership with Oracle’s NetSuite.    FIND A.I.’s solutions (PRS: Predictive…
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in Press

SCALE AI grants funding to FIND Innovation

Vancouver, British Columbia. Following a rigorous multi panel and multi step presentation and review process,  Montreal based SCALE AI, in partnership with the Government of Canada and the Government of…
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in Press

FIND Innovation clears final round of CDL Montreal

Vancouver, British Columbia: Canadian startup accelerator, Creative Destructive Labs Montreal has  announced that Vancouver based, FIND Innovation, has been named among its selections for the 2019-2020 Artificial Intelligence Innovators category…
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