Apr 2025 – Present · 11 mos

• Deliver lectures and workshops at universities and innovation academies such as TU Darmstadt x Wiesbaden Business School (HIGHEST Initiative).
• Topics include capital architecture, strategic funding design, and the mindset shift required to make scientific ventures fundable and scalable.

Jun 2024 – Present · 1 yr 9 mos

• Regularly invited to (closed-door) sessions, panels, and keynotes to challenge how deep tech is evaluated, funded, and accelerated across Europe.
• Known for reframing venture building from a science-first, systems perspective and for questioning startup and VC logics that systematically fail scientific ventures. My work is used to align capital strategy, program design, and institutional decision-making with the physical and regulatory realities of deep tech.
• Creator of the proprietary 4x4-TETRA Deep Tech Matrix™ framework, a science-first operating system for venture and capital sequencing in deep tech, developed through academic and applied research and now used by European innovation institutions, venture builders, and investment teams.
• Contributions typically focus on:
• why deep tech fails in patterns, not exceptions
• how mis-sequenced capital and programs manufacture the Valley of Death
• what institutions, investors, and accelerators must change to enable real translation from lab to market
• Frequently invited where difficult conversations are required and surface-level answers no longer suffice.

Mar 2024 – Present · 2 yrs

• Active mentor and advisor in leading programs including
• ‣ MassChallenge,
• ‣ EIT Health,
• ‣ EIT Digital,
• ‣ Life Science Factory,
• ‣ INAM and
• ‣ Startup Colors.
• Guided dozens of deep tech ventures in securing multi-millions, structuring TRL-aligned capital stacks, and navigating market readiness.

Oct 2017 – Present · 8 yrs 5 mos

• Arise Innovations operates as a structural diagnostics and decision-governance layer for deep tech ventures support infrastructures and ecosystems.
• Using my prioprietary system, I make visible where scientific ventures, portfolios, or programs are structurally mis-sequenced across evidence, industrialization, market formation, and capital. The work focuses on detecting irreversible risks early and governing decision order before capital, partnerships, or narratives harden in ways that increase collapse probability.
• Rather than predicting outcomes or scoring teams, the system produces prescriptive diagnostics: what must be true before escalation is safe, where optionality is being destroyed, and which sequencing errors systematically drive deep tech failure between TRL 3–7.
• In practice, this includes:
• System-level diagnostics for ventures, portfolios, and programs to surface hidden constraints and dominant risk drivers
• Explicit sequencing verdicts that govern when to proceed, pause, redesign, or stop
• Evidence-anchored proof gates that define when equity, scale-up, or industrial commitments are structurally justified
• Decision guardrails for stakeholders: policymakers, ICs, venture builders, and program leadership to prevent premature commitments
• Licensing of the Operating System to accelerators, venture studios, investors, and institutions as shared decision infrastructure
• The scientific foundation of 4x4-TETRA Deep Tech Matrix™ is mathematically grounded, non-AI-based, and has been independently certified as original R&D under OECD standards by the German Federal Ministry framework (BSFZ). It is published as the world’s first RD&I-certified operating system for evaluation, commercialization, and capital flow in science ventures.
• Arise Innovations is not a consultancy.
• It is an operating system for governing how deep tech is allowed to evolve.