Coding agents changed how quickly software can be built. They did not change how teams coordinate everything around it. We kept seeing product managers become the human sync point between decisions, Jira, Engineering and increasingly AI agents.
That is why we built Teklens, the shared Product Brain for software teams: a shared memory for people and agents that keeps product decisions, customer feedback, Jira and code connected and current. The first teams are working productively with Teklens.
We are founders, CTOs and operators ourselves. Built, scaled and exited companies. Teklens is the tool we needed in every one of those teams – and which didn't exist anywhere.
We build the product we needed in our own teams.
Makes engineering teams gen-AI-native and assesses the real value of tech products, teams and AI potential.
Serial entrepreneur and former CTO. Built and exited tech companies – and learned what really makes engineering teams effective.
Today I make development teams gen-AI-native, integrate AI tools into their workflows and assess the real state of software, AI and deep-tech products.
Re-engineers development workflows with gen-AI coding tools, retrieval and agents – from idea to deployment.
Lightning-fast at re-engineering development workflows with AI. I transform processes from ideation to deployment with gen-AI tools, retrieval systems and agent workflows.
When teams need to rethink their engineering pipelines overnight, I'm the call to make.
Product × GTM × AI: builds B2B software companies with humans + agents.
I work at the intersection of Product × GTM × AI and build B2B software companies with humans + agents. I started my first software company at 16, built Astina, Aioma and Localina, sold Localina CRM to Swisscom and co-led a company of several hundred people as CCO.
Co-founder of Teklens, the shared Product Brain for software teams. Innosuisse expert, Springer Gabler author, lecturer at HWZ, ZHAW and FHNW, publisher of the Marketing Automation & AI Readiness Report (AI Monitor) with ETH Zürich and the University of St. Gallen.
Product-market fit, scalable go-to-market strategies and B2B enterprise sales.
Over two decades building and scaling tech companies. Co-founder of Qumram through to its exit to Dynatrace (2017).
Today I help tech companies with product-market fit, scalable GTM strategies and the complexity of B2B enterprise sales.
Realistic AI adoption with measurable value – from model distillation to reinforcement learning.
Mathematician with a passion for technology. A career at the intersection of AI research and practical delivery.
I design realistic AI adoption strategies with measurable improvements – from model distillation to reinforcement learning.
Scalable architecture and practical AI integration into everyday engineering – code review, docs, routine work.
A deep curiosity for complex systems. Years spent architecting scalable solutions and making development teams more effective.
Focused on practical AI integration – from code review to documentation to cutting repetitive work. Incremental adoption with immediate value.
Turns complex requirements into intuitive web and mobile interfaces. React Native, Next.js, GraphQL.
Web and mobile apps people genuinely enjoy using. From fashion e-commerce frontends to health tech at AURUM Training Zürich.
Speciality: turning complex requirements into intuitive interfaces. React Native, Next.js, GraphQL – polish and performance.
30 minutes. Directly with the founder team. No sales.
Two paths: set the direction or test Teklens on real product work.
