Episode 024 - Slater Victoroff, Founder & CTO Indico

Introduction

• Welcome to Distilling Venture Capital. I am your host, Bill Griesinger,
• Distilling VC is a visionary podcast that provides an insightful and informed view of the key trends affecting the VC and tech startup world. This is your podcast for Fintech, Decentralized Finance, Blockchain and Smart Contracts, Digital Banking and all the frontier technologies that are changing the financial landscape globally.

We will start here -

Episode Introduction:

• Welcome back everyone. I am really amped and excited about today´s conversation because I have the pleasure of welcoming to the program Slater Victoroff, Founder and CTO of Indico.
• Indico is the leading machine learning, and AI platform that has developed technology to unlock the value of unstructured data, about 85% of all data, providing enterprises with the ability to automate heavily time-consuming tasks and derive value from unstructured docs like emails, images, texts and more.
• The Indico Platform uses AI and ML technology to automate the intake and understanding of unstructured documents, emails, images, videos, audio files, and much more, giving structure to this unstructured data. As a result, enterprises get much more value from their existing structured data only software and technologies — including RPA, CRM, ERP, Analytics, and more.

• We´re going to get into that and more…Slater, thank you for making the time to be on the show today…

• Before we dig into the meat of what Indico is really all about, I thought it would be useful if you could tell us a bit about your background and about your journey, more broadly, that ultimately set the stage for founding of Indico…

Topic Areas Covered with Slater Victoroff

• Talk about your training, background and work in SW and computer engineering that led to the development of the technology and Indico
• Talk about the technology development from SW engineering standpoint to achieve this breakthrough related to being able to analyze, automate unstructured data.
• In the past (2016), you previously stated that Indico is `` like a co-pilot in some ways`` indicating ``We´re not automating away the person but taking the grunt work out of processes, allowing them to do much more what they enjoy doing, which is critical thinking.`` Expand upon what you mean by that.

• Let´s talk about some of the actual use-case applications of the technology. You serve major, marquis customers in the Insurance, Financial Services, Real Estate, Legal, Marketing, Retail, and other huge verticals. Discuss some client use cases. MetLife, etc.
• Why have you succeeded where others have failed? How has Indico been able to beat out juggernauts such as IBM, Google, AWS, that spend billions on projects?

• I wanted to talk for a moment about your martial arts training and background. In the past you indicated that Entreprenuership and martial arts training have parallels. What do you mean by that?
• At the end of 2020 Indico closed a $22M Series B round. You´ve raised about $34M in total. How do you view or see the need regarding additional capital?

Closing Remarks

• Slater, what is a good way for those seeking additional information about Indico to get in touch?
• Website – www.indicodata.ai
• Other contact methods?

Thank you for joining me for this edition of DVC. I hope you found our discussion today with Slater Victoroff and Indico interesting and it gave you new insights and things to think about regarding machine learning, AI and its application to unstructured data. I look forward to joining you on my next edition of DVC. Thank You…