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Alan Schmoll
CEO & Co-founder of Pave, experienced in finance and entrepreneurship
Alan Schmoll, Head of Product - Global Entity Platform at VISTRA
Alan Schmoll is an experienced product leader and entrepreneur currently serving as the Head of Product for the Global Entity Platform at Vistra, a leading corporate service provider. He is building and leading a brand new team developing an equally new digital platform at Vistra.23
Prior to joining Vistra, Schmoll co-founded Pave, a startup helping businesses enhance their customer outreach by revolutionizing lead engagement using AI-powered automation.1 He also founded Lanturn, a venture-backed tech-enabled corporate services and funds management platform in Singapore.1
Earlier in his career, Schmoll held various leadership roles in investment banking at Bank of America Merrill Lynch, including positions in debt origination and syndicate across Asia Pacific and Japan.1 He holds a Bachelor of Engineering (Electrical and Electronics) and a Bachelor of Commerce (Finance) from the University of Melbourne.1
Schmoll is an active member of the entrepreneurial community in Melbourne and Singapore, serving as an advisor to Pikkal, a company bringing businesses to life using long-format video podcasts.1 He is also a member of the CUB Club of United Business in Melbourne.1
Highlights
Anthropic's new Claude Enterprise is launched and is getting rave reviews in the AI workspaces for enterprise arena it appears (link to it in the comments section below if anybody fancies a look).
The evolution of this space is rapidly shaping up to be a key revenue driver in AI applications over the short to medium term after the first 2 years of GenAI hype was largely consumer driven. Foundational model providers like ChatGPT and Claude, alongside tech giants such as MS and AWS with CoPilot and Amazon Q Business respectively, are all aggressively vying for a piece of the enterprise pie.
The competition is fierce and apart from Nvidia not clear who else is going to make money! Question lingers – who will secure the operational advantage in the long run? Nvidia with its chips advatange, AWS with its compute advantage, Claude/OpenAI with a model advantage, or perhaps MS with Office365/Teams distribution advantage (which could also trigger more antitrust headaches for MS!).
The AI landscape has seen a significant shift this year from consumer to enterprise adoption, with continuous advancements in security, privacy model quality and application layer development to support that inevitable move.
Exciting times ahead for enterprise AI, both suppliers and customers!
Curious to hear if anybody is using any of the AI enterprise workspace tools and what they think ...
🚀 Exciting Opportunity Alert! 🚀
We're on the lookout for talented hungry engineers to join our team at VISTRA working on the Global Entity Platform (sneak peak below!).
If the mix of startup pace, enterprise paycheck consistency (nice in this environment!), one huge customer, top 5 PE backed resourcing and support sounds interesting this may be for you or somebody in your network.
We're seeking:
- Full-Stack Engineers (Next.js, Node.js, AWS)
- AI Engineers (AWS Bedrock/SageMaker)
- Platform Product
- QA Specialists
Remote or in-office, ideally in APAC though.
If you or someone you know is interested, please reach out!
🇸🇬🇺🇦Petter Weiderholm Simon B. Mervin Tan Shannon Scott Thomas Gorissen Jonathan Lui Matthew Browne Emmett Shear Zenos Schmickrath Sourabh Paul Wilson Cheung Cyrus W.
