Teemu Kinos sold a conversational AI platform, GetJenny, to investors and customers. Now he’s selling them a promise: your SaaS product’s source code is the only growth team you need. His new startup, Skene Technologies, raised €800,000 ($860,000) in January to build AI agents that read a product’s codebase, infer its functionality, and automate the onboarding, activation, and retention workflows typically handled by humans or manual tools [TechFundingNews, Jan 2026].
If it works, it could remove the need for developers to tag events or configure user journeys, a notoriously brittle and time-consuming process. The bet is that by operating at the code level, Skene’s agents can keep pace with a product’s evolution in real time, generating in-app guidance and lifecycle actions that adapt as the software itself changes. The Helsinki-based company is targeting developer-led SaaS teams, the kind that build with tools like Cursor and Claude Code, and aims to surpass €1 million in annual recurring revenue by the middle of this year [ArcticStartup, Jan 2026].
The Wedge: Code as the Single Source of Truth
Skene’s core premise is a direct challenge to the established analytics and product-led growth stack. Instead of layering on another dashboard that requires manual event tracking, Skene’s platform integrates directly with a company’s code repository. It uses a “Skene Context Layer” to understand the technology stack, existing features, and potential revenue leakage, then deploys a “Skene Agent” to extract usage signals and automate growth loops.
The system is designed to generate prompts for AI coding tools, offering ready-to-use implementation steps for the recommendations it surfaces [GitHub]. Its business model is token-based, where one token equals one automated action, such as generating a custom onboarding step or sending a re-engagement email [TrendingTopics.eu, Jan 2026]. This positions Skene not as a traditional SaaS subscription, but as a consumption-driven utility for growth automation.
The Team and the First Check
The founding trio brings a mix of entrepreneurial and technical pedigree to the problem. Kinos, the CEO, previously co-founded GetJenny, a Helsinki-based conversational AI platform [TrendingTopics.eu, Jan 2026]. Co-founder Michele Boggia holds a PhD and leads the NLP-driven product development [TechFundingNews, Jan 2026]. Teppo Hudsson, the third co-founder, brings an entrepreneurial focus on product-led growth platforms for developers [LinkedIn].
Their early conviction attracted a notable pre-seed round. Superhero Capital, a Nordic early-stage venture firm, led the €800,000 investment. The round also included participation from executives at NVIDIA [Tech.eu, Jan 2026].
| Founder | Role | Background |
|---|---|---|
| Teemu Kinos | CEO | Former co-founder of GetJenny, a conversational AI platform. |
| Michele Boggia | Co-founder, Head of Product | PhD researcher, leads NLP-driven product development. |
| Teppo Hudsson | Co-founder | Entrepreneur focused on PLG platforms for developers. |
The Trajectory and the Target
Skene is moving fast from concept to commercialization. The company states its first agent is already live, with plans to expand to full product growth loop coverage by spring 2026 [Skene Blog, Jan 2026]. The publicly stated goal is aggressive: cross €1 million in ARR by the middle of the year [ArcticStartup, Jan 2026].
This target is the most concrete metric for judging early execution. Hitting it would require rapidly converting pilot users into paying customers on its token-based model. The focus on “vibe coders” and developer-led teams suggests a bottom-up, product-led adoption motion, which aligns with the tool’s promise of autonomy.
Where the Code Could Break
The ambition is clear, but the path is untested. Several risks sit on the horizon, any of which could slow adoption.
- Technical complexity. Parsing arbitrary codebases to accurately infer user intent and product value is a non-trivial AI problem. False positives or irrelevant recommendations could erode developer trust quickly.
- Market education. The product category, IDE-native growth orchestration, is novel. Skene must convince developers that growth automation is a core part of their responsibility.
- Proving ROI. The token-based pricing model links cost directly to activity. For the model to scale, customers must see a clear and measurable return on each token spent.
The Next Twelve Months
For Skene, 2026 is a proof-of-year. The key milestones are binary: hitting the €1 million ARR target and successfully launching the full suite of growth automation agents. The €800,000 pre-seed from Superhero Capital and NVIDIA executives buys the runway to attempt this. The question for Kinos and his team is whether developer-led teams, inundated with new tools, will prioritize an autonomous growth layer that works in the background.