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DEEP TECH | INDEPENDENT PROGRAMME REVIEW & COMMERCIALISATION STRATEGY​

Decisions that
stand up to scrutiny

Receive an independent recommendation in 2–3 weeks on one consequential decision: what to continue, change, fund or stop – and the evidence needed to defend it.

Our innovation programme has supported several deep tech pilots, but few have become repeatable revenue. How can we tell whether the barrier is the technology, customer demand, the venture’s sales approach, or our programme design?

The Deep Tech Innovation Friction

A deep tech programme can meet its activity targets during evaluation without clear evidence of producing the intended outcomes. 

​A complex technology can perform well while customer adoption, regulation, delivery or financing blocks its route to market, ultimately causing the Valley of Death.

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In both cases, the risk lies in committing more resources before the real constraint is understood. I help reducing that risk through looking beyond individual performance measures. I analyse how technical, commercial and institutional factors interact, what second-order effects can emerge later, and how to navigate them.

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QUATISE® is the proprietary methodology behind my work. It helps me examine how factors – that are usually assessed in silos – affect one another, identify what is limiting progress and turn complex evidence into a decision you can act on.

Science Commercialisation:
When Startup Playbook Fails

Innovation programme evaluation for funders and institutions

Before renewing a programme, expanding a portfolio or defending results to a board, you need to know what the evidence supports. I examine outcomes, selection, incentives and delivery to identify what should be retained, redesigned or stopped.​

Typical decisions

→ Is this programme producing enough defensible evidence to receive another funding period?

→ Which parts of the portfolio merit further support?

→ Are the reported outcomes caused by the programme – or mainly by selecting strong participants?

Commercialisation strategy for scaleups and technology-led SMEs

Technical progress, pilots and funding do not automatically lead to paying customers. I examine customer adoption, the route to market and capital requirements together, so you can decide which product, market or financing move deserves your resources next.

Typical decisions

→ Why are successful pilots not becoming repeatable revenue?

→ Which market or customer should we pursue first?

→ What must we prove before the next major investment or funding round?

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Our Work
Our university spinout has strong research results but limited market traction. What evidence should the team gather before seeking investment, and how should we assess whether follow-on funding is justified?

Independent expertise.
A clear point of view.

Hi, I'm Maria Ksenia Witte

Scientist and commercialisation expert working independently, connecting science, commercial strategy and capital. Through Arise Innovations®, I help institutions and ventures turn complex evidence into decisions they can act on.

 

250+ cases assessed · 25+ programmes & ecosystems

€100M+ allocation exposure

 

My QUATISE® methodology is built on formally certified applied RD&I under OECD Frascati criteria (validated through the German Federal Ministry of Research, Technology and Space).

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