Technical partner for early-stage startups

Resolve the technical risk blocking your next milestone

Hands-on senior engineering for founders preparing a working prototype, a funding round, or a reliable production launch.

Bring your current situation. No preparation is required. Leave with a clearer view of the main risk and a recommended next step.

Idea → Prototype → Funding → Reliable product

Maxine Holzkämper

Maxine Holzkämper

Founder, SHYVT

I felt my project was in the best hands and wholeheartedly recommend Georg for complex AI-based projects.

Direct contact

Work directly with Georg

Useful first conversation

A free 30-minute call with a focused recommendation

Minimum engagement

Focused projects start at €2,000

The people doing the work

Product direction and engineering, connected

Georg is your direct entry point. Depending on the engagement, we combine the people needed to take clear ownership without adding unnecessary coordination.

Dr. Georg Schwarz

Dr. Georg Schwarz

Founder & Software Engineer

Doctorate in microservice architectures, with hands-on expertise across full-stack engineering, backend systems, platforms, and pragmatic infrastructure. CKA certified.

Dr. Philip Heltweg

Dr. Philip Heltweg

Project partner

Technical product management, requirements, data engineering, and stakeholder alignment.

How we start

A bounded engagement with visible progress

  1. 01

    Understand the constraint

    Clarify the product, current state, and immediate business need.

  2. 02

    Inspect the foundation

    Assess or shape the technical basis using real evidence.

  3. 03

    Set priorities

    Agree on a focused scope, ownership, and decision points.

  4. 04

    Deliver and transfer

    Show progress, transfer knowledge, and define the next useful step.

Concrete engagements

What a focused engagement can look like

We reduce the risk that matters now and leave your team with a stronger foundation.

Client work · SHYVT

Make AI quality measurable before scaling the product.

Maxine and SHYVT were already building their psychology x AI app. The central risk was whether the agent behavior was good enough and improving reliably.

  • Measurable AI quality
  • Faster improvement cycles
  • Visible regressions

Agent evaluation pipeline

Evaluation score

Relevance
Safety
Empathy
100
75
50
25
0
Iteration 1 Iteration 2 Iteration 3 Iteration 4 Iteration 5

Typical engagement · Funding-round readiness

Know your technical story before investors ask.

Prepare evidence, documentation, and remediation priorities for technical due diligence.

  • Known risks
  • Clear documentation
  • Prepared answers

Due-diligence preparation reduces technical uncertainty. It is not legal or financial advice and cannot guarantee an investment outcome.

Typical engagement · Reliable deployment and operations

Ship confidently without overbuilding infrastructure.

We choose suitable infrastructure for the product, then make deployments repeatable, observable, and recoverable.

  • Repeatable deployments
  • Visible production failures
  • Controlled complexity

Frequently asked questions

What founders usually want to know

Can you work with a vibe-coded prototype?

Yes. We first inspect the product, code, dependencies, data, and delivery setup. The prototype may contain valuable product learning and usable implementation. Recommendations are based on evidence, not assumptions about how the code was created.

Will you rewrite everything?

No. A rewrite is not the default. We identify what is sound, what creates material risk, and where incremental improvement is the better decision. Replacement is recommended only when the expected benefit justifies the disruption.

Do you work with non-technical founders?

Yes. We translate product goals and domain knowledge into concrete technical decisions, explain trade-offs in plain language, and make progress visible so you can remain meaningfully involved.

Can you join an existing engineering team?

Yes. We can temporarily own a defined product or engineering area, collaborate through your existing tools and practices, and transfer context back to the team rather than creating a parallel silo.

What does due-diligence preparation include?

Depending on the situation, it can include reviewing architecture, code, infrastructure, dependencies, intellectual-property ownership, delivery processes, and documentation. The output is a prioritized technical view and preparation for investor questions, not legal or financial advice.

What does an engagement cost, and do you work for equity?

We typically work for a fee. A clearly defined project can use a fixed price; evolving requirements or temporary team support usually use an hourly rate. The introductory call is free. Before any paid work, you receive a proposed scope and transparent estimate, so you can decide without an automatic commitment. Equity is generally not a substitute for payment, though a small component may be considered separately in rare long-term cases.

Bring the situation you have

An idea, a prototype, a team bottleneck, or a funding round?

In a no-strings-attached call, we will clarify the technical situation and identify a useful next step.

No preparation is required; links, code, or open questions are welcome. You will leave with a focused recommendation. If working together makes sense, the next step is a bounded scope and transparent estimate.