Dialpad introduces Dialpad for Good to Australia and New Zealand, extending global reach and startup support

Dialpad for Good, which has increased tech accessibility for businesses throughout Canada, the US and the UK, is now available to businesses in Australia and New Zealand via its Dialpad for Startups program. Dialpad for Startups helps startups and their backers by removing communication obstacles and freeing up time and resources to focus on product development, including acquiring customers, and hiring talent. Eligible businesses accepted into the program will receive an award-winning business communication package, encompassing seamless and reliable voice calls, business text messaging, and video conferencing.

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Enterprise loyalty cloud, Antavo, closes €10M Series A for global expansion

November 17, 2022

Antavo, closed a Series A round at €10 million led by Euroventures alongside Lead Ventures, iEurope, Innovation Nest and private investors. The new investment will enable Antavo to continue reinvesting in its technology for greater omnichannel capabilities and superior integration, while expanding its global presence. In 2022, the company signed major global brand customers including BMW, KFC, Kathmandu and BrewDog, resulting in 3.2X year-on-year growth and a 3-fold increase in headcount.

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Previous Article Raises $14 Million to Identify Product-Led Growth Opportunities

November 16, 2022

Don’t ask why, but we have three items related to product-led growth today, Dear Reader.  First is the launch of, whose “no-code solution plugs into data sources and automatically runs thousands of proprietary analyses and ML models that examine millions of data points to reveal exactly what product and growth teams need to know.”  They use “causal influence methodology” and $14 million in seed funding to make it happen.

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Meta Releases Lying, Offensive AI and Pretends to Be Surprised

November 23, 2022

Like trouble, bad behavior by Meta shows up whether you look for it or not.  The latest is an open-source language model that was supposed to provide reliable search results because it was trained on academic papers.  Alas, it was quickly withdrawn after reviewers found that it returned results that were grammatical and plausible but also incorrect, not to mention filled with “antisemitism, homophobia, and misogyny.”  How can this be a surprise?

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