There is a fundamental problem in product teams: the bottleneck isn't the coding. It's everything before and after it. Knowledge is scattered across twenty tabs and individual heads, prioritisation runs on gut feeling, and specs are written disconnected from the real code.
We spoke with 24 product people. Everyone knows the problem. No one had a solution. So we built one. Teklens reads Jira, Confluence, GitHub and the real code – and turns it into a reasoned, prioritised roadmap and specs the team can implement directly.
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 don't talk about transformation. We build the tool that triggers it.
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 agentic orchestration.
When teams need to rethink their engineering pipelines overnight, I'm the call to make.
Connects AI with revenue operations and builds autonomous GTM systems for predictable growth.
Software entrepreneur with a Springer Gabler book. From building Aioma to selling Localina's CRM to Swisscom.
As an Innosuisse expert and former ZHAW lecturer, I build autonomous GTM systems that turn complex automation into predictable growth.
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.
A founder replies directly.
