Enterprise customer experience is one of many legacy industries entering a period of profound AI-led transformation. Parloa has continued to reinforce its position as a leader in this shift. Read more about why we invested here: lightscape.beehiiv.com/p/why…

I’m excited to share two key milestones for Parallax Worlds today: a new funding round led by Midas list investors, and an industrial-grade video-to-3D model with an average error of 3mm that needs just an iPhone, all towards a growing vision for robotics simulation that is focused on an abundance of automation in the next decade. We’re hiring for robotics & cloud infrastructure roles, please reach out if our mission resonates! More below & an exclusive from @SiliconANGLE in the thread. There are two things that state-of-the-art AI can do for robotics: it can allow us to make more intelligent robots, and it can enable us to massively increase the scale & speed of deploying robots in production. Today, I’m grateful to share Parallax’s $4.9M in funding till date towards the latter, led by @pearvc. Only three metrics really matter when deploying a robot in a facility: cost, throughput, and reliability. Being able to predict, let alone guarantee any of these at an industrial level is a huge challenge for AI-based robots. This creates a conundrum – intelligent robots present the opportunity to automate tasks that could never be automated before and help with near-shoring & labor shortages, yet we will never see them deployed on the factory floor unless we can measure and improve on the above three metrics. At Parallax, our mission is to help anyone, not just robotics experts, develop, test, and deploy robots at the speed of light. We do this by building photo-realistic simulations of production sites with just an iPhone, and stress-testing robots inside of them to find robot failures before deployment. Our product leverages advanced computer vision methods to perform at industrial requirements – our AI generated models are accurate within 1 cm, with an average error of 3mm. We create meaningful test cases that go beyond naive randomization with AI-agents that run in a full physics-enabled environment. I’m grateful today to have the support & trust of Mar, legendary investor at Pear & @payamban, a pioneer in the Space industry. I am also excited to welcome to the cap table GS Futures – the VC arm of one of Korea’s largest conglomerates across manufacturing, construction, and retail, @LightscapeVC, @KakaoVentures, @GaingelsVC, Nova Threshold, @Mana_Ventures, and @BoostVC. Also extremely grateful for the continued support from John & @RTylerCrown at @Unusual_VC who were Day-1 investors in Parallax, @WizLikeWizard at @spacecadet, who has been with us firmly through thick & thin, and @saranormous & @pranavreddy at @conviction (Embed) for helping us maximize our vision for the company. Lastly, a huge shoutout to Monisha & John who were there for our -1 to 0 journey at Stanford, without whom the company may not have even existed. Proud of our team and all the work we have done. Lots more to do, so now back to work.