๐BIG NEWS: We raised $120M in Series C funding, led by Durable Capital Partners, Altimeter Capital, and General Catalyst!
This marks a significant leap forward in our mission to transform customer service with agentic AI. Weโll continue empowering enterprises to build and deploy highly personalized, dynamic AI agents at scale. ๐
With this funding, weโll accelerate our global expansion and keep setting a new standard for contact centers with our AI Agent Management Platform (AMP).
The future is exciting! Even bigger breakthroughs are on the horizon.โจ
Thank you for your support!
@altcap, @apoorv03, @BSchweinsteiger, @CarstenThoma, @DoreenHuber, @eqtventures, @generalcatalyst, @htaneja, @iskenderdirik, @jrassloff, @lafamigliaVC, @markusgrundmann, @MarioGoetze, @mathijsdewit, @mc_xarak, @Mosaic_VC, @MuttersbachErik, @senovoVC, @slevene, @tcoppel, @Teleperformance ...and to all of our new and existing investors!๐ค
Learn more about our Series C funding here ๐
https://t.co/6a4Xkw4Ja1
To navigate the GenAI evolution, businesses need to design, update, and consistently enhance their knowledge bases to ensure accuracy, ease of use, and a smooth customer experience.
Our Lead AI Evangelist, Maik Hummel @Beevelop, outlines the essential steps for building AI-ready knowledge bases that deliver accurate and relevant customer experiences for @cmswire ๐ https://t.co/gaChrwdaae
Did you hear that?ย
๐กPrioritize your generative AI use cases.ย This article from McKinsey details a few pathways for companies implementing genAI to successfully achieve the highest ROI.
โWith so many companies already investing in gen AI, the question isnโt where to start but how to find gen AIโs potential quicklyโand start earning the rewards. For the 97 percent of companies that havenโt yet scaled gen AI in their operations, thereโs an urgent need for focus.โ
https://t.co/kZ6nmqqgBb
What would AI x customer service look like if we built it from scratch today?
If you are a large enterprise who is answering this question, reach out to @parloa_ai to learn about their AI Agent Platform
@maltekosub
@maltekosub@parloa_ai This is a game-changer for customer service! By leveraging #LLMs, AMP can deliver truly personalized interactions at scale, transforming how we engage with customers. The potential to move beyond pre-scripted flows and create dynamic, context-aware conversations is immense.
@parloa__ai Get your tickets for the WAVE conference on September 12th now: https://t.co/94k5GkUmbJ
And join our AMP Insider List: https://t.co/HpQxmdv3w2
Ever wondered what it would be like to rebuild AI in customer service from the ground up? At @parloa__ai , we embraced this challenge for the #GenAI era.
Every interaction matters, and every customer deserves an AI agent that can engage in a meaningful, unique conversation.
@parloa__ai IVRs have often let us down, making interactions cumbersome and frustrating. Itโs time for a change.
With AMP, companies can now build, manage, and scale AI agents like never before, harnessing #LLMs for dynamic, personalized experiences.
@parloa_ai This marks a shift towards AI-first customer care. With Parloa AMP, weโre seeing the dawn of AI-powered call centers. Millions of unique, dynamic conversations at scale are now possible, making personalized customer interactions the norm.
Today, weโre announcing a new chapter for #AI in customer service. ๐
Imagine a personal AI agent for every customer.
In the #genAI era, if you have millions of customers, you should be having millions of unique conversations.
This is why weโre introducing a new category of software, to empower enterprises to connect with every single one of their customers, safely and at scale:
โจ The Parloa AI Agent Management Platform โจ
Or simply, Parloa AMP.
โซ๏ธ Parloa AMP allows companies to provide personal AI agents for every customer. They are designed with natural language briefings, not scripted flows, so they can have dynamic conversations across a complex set of use cases โ and faster time to value.
โซ๏ธ Parloa AMP provides a portfolio of agent lifecycle management tools that allows companies to design, QA, deploy, and scale a team of personal AI agents. It can simulate and evaluate thousands of synthetic conversations before deploying to customers so you can fine-tune each agent.
Our co-founders @maltekosub and @o_stefan will unveil AMP live on stage on September 12th at our WAVE conference in #Berlin, join us!
In the meantime, here's more on todayโs sneak peek: https://t.co/IdLohve8NU
Itโs done! ๐๐ We've raised $66M in our Series B funding, marking the largest Series B funding round in the European contact center AI ecosystem. Thank you, @apoorv03, @altcap & the entire Altimeter team for leading this round. Together we will change customer support for the better! โ๏ธ๐
So here's what Iโve been building for the last couple of months!
https://t.co/26dxqr8NXu
I created many product videos over the years, and it was always a frustrating experience. Cutscenes is here to revolutionize how we create such videos.
A thread ๐ช
@mzi2008@TimCadenbach@neoheldencom After Neohelden has been sold last year to msg, the repository was made private and is no longer available. As I'm no longer involved, I don't know the current details and plans about the Flutter AdaptiveCards implementation. Maybe @realCurvel can help us out ๐
@Austen In Germany we have to concept of a Cooperative State university. Essentially a combination of academic education and on the job training (50/50). Companies pay the university and the students. Companies most often hire the qualified students afterwards and "safe on the teach-in".