Announcement • Jun 11naoo AG to Report Q4, 2025 Results on Jun 23, 2026naoo AG announced that they will report Q4, 2025 results on Jun 23, 2026
Announcement • Apr 13Naoo AG Launches Metis Real-Time Experimentation Infrastructure Completes Proprietary AI StackNaoo AG announced the successful deployment of METIS, a real-time experimentation and decisioning infrastructure that represents the third major AI initiative within the naoo platform stack. METIS operates as the optimisation layer above GAIA (the data platform) and ModelKnife (the machine learning framework), completing a proprietary three-layer AI architecture designed to enable continuous, measurement-driven product development. The launch of METIS follows the Generation V platform relaunch completed in late March 2026, which delivered a significant increase in user activity: feed impressions approximately doubled and time spent on the platform increased by more than 50% as a direct result of the rebuilt platform architecture. METIS does not account for these gains — they are attributable to Generation V. METIS is the infrastructure now in place to systematically build on, optimise, and scale these improvements going forward. Generation V impact (platform relaunch, late March 2026): feed impressions approximately doubled; time spent on platform increased by more than 50%. Both metrics are attributable to the Generation V rebuild, not to METIS. METIS role: real-time experimentation infrastructure deployed to optimise and scale the performance gains generated by Generation V on a continuous, measurement-driven basis going forward. AI infrastructure stack: METIS is the third proprietary initiative, following GAIA (data layer, May 2025) and ModelKnife (machine learning layer, December 2025). Together they form a closed-loop architecture: data ingestion ? model training ? real-time experimentation ? optimisation. METIS scope: real-time testing and optimisation of all platform elements including content ranking, feed algorithms, AI models, engagement mechanics, gamification logic, and monetisation flows — significantly broader than conventional A/B testing infrastructure. System components: real-time event ingestion, structured event catalogue, reusable metric definitions (conversion rates, engagement KPIs), experiment management with statistical power and significance tracking, and a decision queue for product rollout decisions. Operating model shift: product development, AI optimisation and monetisation logic can now be continuously tested and refined based on real-world performance, reducing reliance on assumption-driven decision-making. METIS closes the loop on naoo's proprietary AI infrastructure build programme. With GAIA providing the data foundation, ModelKnife enabling machine learning at scale, and METIS enabling real-time experimentation and decisioning, the company has established a technology stack that supports continuous, measurable platform improvement. The infrastructure is designed to support the scalability of naoo's commercial operations across its planned city rollouts in Zurich and Berlin.
Announcement • Apr 11Naoo Ag Doubles Feed Impressions and Launches Real-Time Optimization InfrastructureNaoo AG announced the successful launch of METIS, a real-time experimentation infrastructure designed to continuously optimize user experience, platform performance and monetization. Following the previously introduced GAIA data infrastructure and Modelknife machine learning framework, METIS represents the third core AI infrastructure initiative within the naoo ecosystem. The launch of METIS follows the successful rollout of naoo Generation V at the end of March 2026. Since the introduction of the new platform architecture, naoo has observed a significant increase in user activity, with feed impressions approximately doubling. With METIS, naoo introduces a system that allows all elements of the application to be tested and improved in real time. This includes content ranking, user interface elements, engagement features and AI-driven personalization. By continuously measuring how users interact with the platform, naoo can rapidly identify which features create the most value and scale these improvements across the user base. The system operates as an integrated layer within naoo’s technology stack, connecting real-time data ingestion, event tracking and performance measurement with a centralized experimentation environment. This enables naoo to validate product decisions based on measurable outcomes and to implement improvements at significantly higher speed compared to traditional development cycles. For naoo, this represents a fundamental shift towards a data-driven operating model. Product development, AI optimization and monetization logic can now be continuously tested and refined based on real-world performance. This reduces reliance on assumptions and enables more efficient allocation of development resources towards features and models with proven impact. The company expects METIS to contribute to further increases in user engagement, improved retention and more efficient monetization over time, supporting the long-term scalability and performance of the naoo platform.
