What We Solve

The failure modes we see repeatedly in industrial deeptech

Every engagement starts from the same premise: the risks that end hard-tech ventures are identifiable long before they materialise. They are simply not being examined together.

01

Evidence does not support the claim

Signals

  • TRL asserted from single-run lab data
  • No documented process window or failure envelope
  • Performance extrapolated across two orders of magnitude

Consequence · Milestones slip by quarters once replication is attempted at pilot scale.

02

Scale-up path is undefined

Signals

  • No mass and energy balance at target scale
  • Unqualified suppliers on critical path
  • Pilot designed as a demo, not as a learning instrument

Consequence · Capex is committed against a process that has not yet been characterised.

03

Organization outgrows its operating system

Signals

  • No R&D cadence, gate reviews or decision rights
  • Knowledge held by individuals, not systems
  • Hiring ahead of a defined technical roadmap

Consequence · Throughput per engineer falls while burn accelerates.

04

Safety and compliance treated as late-stage

Signals

  • Hazard analysis deferred until pilot commissioning
  • No permitting or certification timeline in the plan
  • Safety ownership undefined at the leadership level

Consequence · Regulatory and insurance blockers appear after capital is deployed.

05

Capital plan is not milestone-coherent

Signals

  • Raise sized to runway, not to the next de-risking event
  • Technical milestones not translated into valuation steps
  • No fallback sequence if a key result is negative

Consequence · Bridge rounds at flat or down terms, negotiated under time pressure.

06

Diligence lacks technical depth

Signals

  • Review anchored on market and team, not on process risk
  • No independent challenge of core assumptions
  • Portfolio issues detected only at the next raise

Consequence · Risk is discovered post-investment, when options are narrowest.

Our position

Readiness is not an opinion. It is a set of observable conditions that either exist or do not, at a defined stage, with defined evidence.

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Structured qualification before any conversation. Each submission is reviewed against decision risk, stage and sector fit.

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