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Vertical AI Deep Dive with OMERS Ventures

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Manage episode 443173328 series 3492973
Content provided by Cloud Ratings. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Cloud Ratings or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Our Guests: Marissa Moore, and Taku Murahwi of OMERS Ventures, an early-stage venture capital firm investing in Series A-C companies with a first cheque size between $5-25M.

Episode Topics:

  • OMERS Venture’s investment criteria.
  • Type of founders Marissa and Taku prefer.
  • How does OMERS Ventures conduct due diligence on a company founder?
  • Overview of Marissa’s “The Green Room”, a “safe space for founders to practice their pitch, risk-free, in front of current investors and subject matter experts.”
  • Marissa’s advice for how founders can improve their pitches.
  • Deep dive into the Eight Core Factors in OMERS Ventures' AI Deep Dive Report.
  • How does unstructured and industry-specific data affect AI’s effectiveness?
  • Marissa’s insights and strategies from successful companies to gain the trust of their customers.
  • The rationale behind the degree of high-stakes decision-making factor.
  • How long it will take for a AI-native company to move from seed funding to Series A, factoring in the development timelines needed to refine an AI product and scale?
  • Is the Net Promoter Score bar higher for an AI company than a traditional software company?
  • Which industries are more or less suitable for vertical AI solutions based on the Vertical AI Deep Dive Report?
  • Great habits Marissa and Taku learned from someone in OMERS Ventures portfolio.

Resources:

OMERS Ventures Vertical AI Report: https://airtable.com/appcfwQFbRedHquqo/paghteBojIXj9d72g/form

About Cloud Returns by Cloud Ratings:

Cloud Returns covers ALL types of software investing, whether seed, venture capital, growth equity, private equity, debt, and the public markets.

Our host - Matt Harney - is active on Twitter @saasletter and writes "SaaSletter", an investing-oriented SaaS newsletter on Substack.

https://cloudradio.cloudratings.com/

https://twitter.com/SaaSletter

https://www.saasletter.com/

About Cloud Ratings:

Cloud Ratings is a customer outcomes-focused, data-driven software research analyst firm. We exist to allow organizations to make more confident, lower-risk software purchasing decisions.

Our Cloud Ratings Category Reports combine user reviews with verified vendor data to impartially identify leading software products. Recent report examples include: Board Management Software, Account-Based Marketing Software, Cap Table + Equity Management Software, Lead Routing Software, and Sales Training + Onboarding Software.

Built upon investigative customer interviews, our True ROI Reports quantify and provide 3rd party validation of a software product’s business value.

https://cloudratings.com/

  continue reading

9 episodes

Artwork
iconShare
 
Manage episode 443173328 series 3492973
Content provided by Cloud Ratings. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Cloud Ratings or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Our Guests: Marissa Moore, and Taku Murahwi of OMERS Ventures, an early-stage venture capital firm investing in Series A-C companies with a first cheque size between $5-25M.

Episode Topics:

  • OMERS Venture’s investment criteria.
  • Type of founders Marissa and Taku prefer.
  • How does OMERS Ventures conduct due diligence on a company founder?
  • Overview of Marissa’s “The Green Room”, a “safe space for founders to practice their pitch, risk-free, in front of current investors and subject matter experts.”
  • Marissa’s advice for how founders can improve their pitches.
  • Deep dive into the Eight Core Factors in OMERS Ventures' AI Deep Dive Report.
  • How does unstructured and industry-specific data affect AI’s effectiveness?
  • Marissa’s insights and strategies from successful companies to gain the trust of their customers.
  • The rationale behind the degree of high-stakes decision-making factor.
  • How long it will take for a AI-native company to move from seed funding to Series A, factoring in the development timelines needed to refine an AI product and scale?
  • Is the Net Promoter Score bar higher for an AI company than a traditional software company?
  • Which industries are more or less suitable for vertical AI solutions based on the Vertical AI Deep Dive Report?
  • Great habits Marissa and Taku learned from someone in OMERS Ventures portfolio.

Resources:

OMERS Ventures Vertical AI Report: https://airtable.com/appcfwQFbRedHquqo/paghteBojIXj9d72g/form

About Cloud Returns by Cloud Ratings:

Cloud Returns covers ALL types of software investing, whether seed, venture capital, growth equity, private equity, debt, and the public markets.

Our host - Matt Harney - is active on Twitter @saasletter and writes "SaaSletter", an investing-oriented SaaS newsletter on Substack.

https://cloudradio.cloudratings.com/

https://twitter.com/SaaSletter

https://www.saasletter.com/

About Cloud Ratings:

Cloud Ratings is a customer outcomes-focused, data-driven software research analyst firm. We exist to allow organizations to make more confident, lower-risk software purchasing decisions.

Our Cloud Ratings Category Reports combine user reviews with verified vendor data to impartially identify leading software products. Recent report examples include: Board Management Software, Account-Based Marketing Software, Cap Table + Equity Management Software, Lead Routing Software, and Sales Training + Onboarding Software.

Built upon investigative customer interviews, our True ROI Reports quantify and provide 3rd party validation of a software product’s business value.

https://cloudratings.com/

  continue reading

9 episodes

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