identify relevant opportunities
About
Three perspectives on the same problem
We combine strategy, product, and technical implementation so AI in companies is not just discussed, but introduced securely and productively.
We do not set up anything we have not already built, used productively, or tested in real workflows ourselves.
We do not sell theoretical AI concepts, but understandable, controlled solutions with real business value.
Why Salty Labs
Why Salty Labs
Salty Labs was built on the belief that companies do not need more generic AI consulting. They need clear, secure, and implementable solutions.
We do not build or recommend anything we have not already implemented ourselves, used productively, or tested in real workflows. That is why we do not work from hype, but from implementation, control, and clear business value.
Self-tested instead of theoretical
Business, product, and tech in one team
Productive instead of buzzword-driven
How we work
How we work
We do not work in the pattern of “workshop, strategy deck, then lots of open questions.”
Instead, we work in a deliberately structured way.
build a secure foundation
put concrete assistants or workflows into productive use
expand in a targeted way
clear scope boundaries
understandable introduction
controlled implementation
integration into existing systems
measurable value
The founding team
The founding team
Three perspectives, one shared goal: bringing AI into companies in a way that is understood, accepted, and used productively.
Stefan Hain
Sector & delivery lead
LinkedIn ProfileProduct leadership, clear prioritization, and turning AI into implementable solutions
MBAI · PSPO I · PSM I · 10+ years in product and strategy
Stefan brings more than ten years of experience in product strategy, delivery, and stakeholder-heavy environments. He has worked in complex and safety-critical domains, including energy, infrastructure, and utility-scale projects, and is used to operating with large budgets, many stakeholders, and real implementation risks.
For clients, Stefan translates AI from a broad idea into a clean implementation framework: Which use cases make sense? What is realistic? Where is the fastest value? What should happen first? That combination of strategy, product logic, and operational execution is central to Salty Labs.
Stefan turns AI interest into a credible implementation plan.
10+ years of product and strategy experience
MBAI plus PSPO I and PSM I
Experience in complex, safety-critical environments
Bridge between business, tech, and UX
Strong roadmap, prioritization, and discovery competence
Timo Rogge
Entrepreneurial scrutiny
LinkedIn ProfileCompany building, partnerships, and pragmatic execution between technology and market
Engineering understanding · Business development · Venture building · Operational execution
Timo combines technical understanding, project practice, and business development. Before and alongside building Salty Lemon and Salty Labs, he gained experience in technical and project-oriented roles, including at LichtBlick and Vattenfall, with exposure to infrastructure, battery, and large-scale implementation contexts.
Timo makes sure Salty Labs not only builds good solutions, but delivers them in a market-relevant, practical, and adoption-ready way. He combines commercial perspective, partnerships, operational reality, and implementation pressure.
Timo turns technology into a commercially viable and executable model.
Experience at the intersection of technology and business
Project practice in large-scale energy and infrastructure contexts
Company building and venture experience
Focus on pragmatism, prioritization, and implementation
Connects market, delivery, and partnerships
Chris Meinl
Engineering & operations
LinkedIn ProfileTechnical architecture, stable implementation, and scalable product delivery
8+ years in software engineering and architecture · CTO/tech co-founder experience · Built a 15,000-user product
Chris brings deep expertise in software engineering, system architecture, and technical product building. He has not only developed products, but led them technically from 0 to 1 and from 1 into productive operation.
At Salty Labs, Chris owns the technical foundation of productive AI solutions: from infrastructure and integrations to data flows, monitoring, clean releases, and scalable architecture. Having already built a product with 15,000 users shows that he does not just build tech, but systems that work in real use.
Chris makes sure AI solutions do not just look good, but run reliably in production.
8+ years in software engineering and architecture
CTO / tech co-founder experience
Built a 15,000-user product
End-to-end responsibility from frontend to infrastructure
Focus on stability, scalability, and technical feasibility
Why this combination works
Why this combination works
Salty Labs combines the three perspectives that successful AI introduction requires: strategy and prioritization, business build-out and operational execution, and technical architecture with productive operations. That combination helps clients treat AI not as a loose innovation project, but as understandable, controlled, and productive implementation.
Stefan structures and prioritizes
Timo connects market, execution, and business
Chris builds the technical reality
What matters to us
What matters to us
We do not build offers from theoretical distance.
We work with solutions and approaches that we have already used, built, or tested ourselves in real workflows.
built ourselves
used ourselves
introduced ourselves
experienced operationally
What this means for our clients
What this means for our clients
For our clients, this means one thing above all: they work with a team that does not just talk about AI, but takes responsibility for a clean introduction and productive implementation.
clearer priorities
more realistic scopes
fewer unnecessary experiments
better fit with existing IT
faster paths to a first productive result
Experience from complex environments
Experience from complex environments
product and strategy roles
software and architecture ownership
project work in complex energy and infrastructure contexts
venture building and digital business development
building and operating digital products
Honestly
Who we do not work with
We would rather decline early than start a project that will not work for either side. These four constellations are a clear no for us.
Companies that first need convincing that AI matters
If the basic relevance is still up for debate, we are the wrong partner. We implement, we do not evangelise.
Organisations without real intent to implement
If it ultimately comes down to inspiration or an internal presentation, no value gets created. What interests us is what runs in production afterwards.
Projects without an owner, data access and a mandate
Without a reachable decision maker, access to the relevant data and involved business units, even a good use case never goes productive.
Purely price-driven enquiries
Production implementation needs budget. If price is the only criterion, there are better-suited providers than us.
If we see no sufficiently relevant lever in the potential call, or notice that we are not the right partner, we will say so just as openly — before any money changes hands.
CTA
Let’s talk about the right starting point for your situation
If you want to introduce AI in your company in a secure, understandable, and productive way, we will gladly show you which first step makes the most sense for your situation.