Vibe coding made it possible for anyone to ship software. We wanted the same for enterprise AI agents. With Parloa Navigator, you upload your call center procedures, decision trees, knowledge files, and get a working agent in minutes. When something breaks, you get a precise fix recommendation, not a wall of logs. When you want to know how your agent is performing, you ask. It is just as simple as that.

Just finished north of 200 meetings in Europe with customers and technologists. The conversations were primarily around AI, common questions include: 1. Are there examples of organizations who have been able to demonstrate production level systems and do those developments show a return in lower cost, efficiency or better top line? 2. What do you think about agents? How will we discover, govern and stop agents if need be. Perhaps the biggest security concern ATM. 3. The frontier AI models are expensive, what's the business case at these token prices to embed AI in our customer facing products? Where will token prices be in the future. 4. What are the longer term implications of Mythos like models? Do we need to update cyber infrastructure or all IT infrastructure? 5. What do you think of Chinese opensource models? Are they secure and what is the downside of using them if they can be secured and they are cheaper? The parts that surprised me were: 1. The pausing of Mythos and Fable 5 caused more consternation and concern in Europe both short term and raised longer term concerns on single model reliance or reliance or models not in ones control. I hadn't seen it from their POV. 2. Sovereignity which was always a topic and still is, is getting more nuanced - they want data residency, data localization and local resources, but there seems to be more willingness to accept global services on clouds. Classified systems continue to be an issue. Net net - we need to ensure we continue to build trust both on our Frontier models and their consistent availability, we need to get the right economics in place and spend more time in Europe communicating and building presence if we want AI adoption to keep pace with the US.

one lesson YC taught us building a $100B company isn't 10,000x harder than building a $10M company if you're going to spend your life building something, you might as well aim as high as you can

FDE job postings grew 50x in 5 years. Palantir popularized the model. Now everyone wants one, including more or less every AI company. But almost no one asks which type of FDE model an AI vendor runs. Type 1: engineers build 80–90% of the solution per customer. Type 2: engineers implement and train agents on top of an existing platform. Type 1 means you're not buying a product. You're buying a team, and inheriting all the dependency that comes with it. Before deciding which company you want to build or which vendor you want to use, ask yourself if you prefer Type 1 or Type 2.

For Claude Tag, people are debating organizational context lock-in. I think this release changes something more important in an org: the economics of expertise. Here is how I am pretty sure 99% of companies work today: The more knowledgeable you are, the more people depend on you for answers. If instead AI becomes the default interface for company knowledge, the best people stop spending their day answering the same repetitive questions. Their time shifts from sharing what they know to solving the really hard problems, or dreaming up new solutions that nobody has thought of yet.

Next up: SF. After our New York office, we're excited to open our second US office in San Francisco. Looking forward to being even closer to our West Coast customers!

In 2022 we made a bet that most people thought was crazy back then. I recently sat down with @max_rimpel to talk about it. What was it? We decided to throw away the entire product and rebuild from scratch. 95% of engineering on a green field for 18 months, while competitors kept shipping features. LLMs at the time took 30s to respond, and instruction following was very bad. We had no proof it would work out. But it did. Since then, the traditional SaaS playbook is no longer there. Not in terms of growth, hiring, or how you operate as a company. That moment in 2022 started a story of continuously rewriting the playbook for Parloa (and any other software company). Max, thanks for the great conversation and for being an incredible thought partner and supporter on our journey!

Very excited to formally announce our London office! No one, king or queen alike, should have to sit on hold for 90 minutes. Opening our London office brings us closer to the enterprises and customers shaping some of the highest expectations for CX, in one of the world's largest software markets. Proud of the team making this next chapter happen. P.S. We’re hiring in the UK. Come join us. parloa.com/careers/

Internet up for Grabs with @sh0kunin (@GoDaddy), @maltekosub (@parloa_ai), @nxthompson (@TheAtlantic), @HelenaCLeurent (@Consumers_Int) and Arjun Prakash #WEF26 x.com/i/broadcasts/1vOxwdMbY…

One of our core values: "Ambition has to feel crazy." Based on ACV alone, we'd already rank among the top 20 SaaS companies globally. But this is still Day One. Back to building. 🚀

Enterprise leaders across financial services, insurance, telco, utility, and retail aren't asking "if" anymore. They're asking "how fast can we implement?" AI agents aren't just transforming customer service - they're redefining what customer experience means.

For the first time, the US outpaced Europe in revenue growth. A major milestone cementing our position as a truly global business. 🌍

Product usage is exploding. Customers are deploying AI agents at scale and seeing immediate impact. Not pilots. Real production. Real results.

$350K average ACV. We're laser-focused on the enterprise market. Solving complex, high-value problems for global leaders.

150% NRR with world-class retention. This tells the real story: customers deeply believe in the product and continue to expand their partnership with us.

$5M ARR deal - our largest enterprise deal ever, signed in under two months. Speed matters when enterprises are ready to move on AI.

Q3 just closed. The strongest quarter in the history of @parloa_ai. 🚀 We're now at about $50M in ARR. Significantly faster than we planned! But the headline number only tells part of the story👇

Crises reveal weaknesses, but they also show what’s possible The airlines that come out stronger won’t be those with the biggest fleets They’ll be the ones that put AI at the center of their customer experience @parloa_ai ✈️🚀

Passengers get instant support Agents focus on empathy instead of repetitive tasks Airlines keep service quality high even in moments of chaos 💫

At Parloa, we’ve seen this before When airlines use AI agents that can ✅ Handle 80% of rebookings automatically ✅ Provide updates in over 100 languages ✅ Escalate complex cases to humans with full context Everything changes