Investment-grade venture appraisal
Every company needs to be a startup at heart. That's where it reinvents itself, where it revitalises itself — and that's where its hidden value lies. Every one — investors, venture capitalists, angel groups, private equity firms, advisories — even founders — is looking for that hidden value. We find it using advanced AI techniques: real insights, real analyst depth, across The Startup Mentor™ Value Model of 16 value dimensions and five evidence levels. That's why we call ourselves The Startup Mentor™. Not the End of Life Mentor. We don't prune the dead wood. We find the new growth. Whatever your assessment needs, we do it ten times faster than a typical professional services due diligence trajectory.
We assess the venture from public sources only — website, registries, databases, news, LinkedIn, published materials. No founder involvement required. The system runs a structured assessment across sixteen value dimensions with five evidence levels, a valuation range, and specific recommendations.
We determine how investor ready you are across six types of rounds — "bootstrap", pre-seed, seed, Series A, Series B, and grant.
Every assessment seeds a company state file — structured data that persists and accumulates. Even a single basic assessment produces scored dimensions, a valuation range, investment readiness gate results, tarpit pattern matches, team research, and a network map.
Everything in the Basic Assessment, plus proprietary materials the company provides — pitch decks, financial models, business cases, images, drawings, video, any format. The deeper input produces a richer assessment: more evidence, higher confidence scores, more precise valuation range, and recommendations grounded in data the public sources don't contain.
Most frameworks assume your stage determines which round to raise. Ours doesn't. The Investor Readiness Assessment produces the complete set of documents a company needs to go from "we want to raise" to "we are ready to raise."
The assessment model produces structured data across every cell in the grid. Bespoke output takes that data and produces custom documents tailored to a specific buyer, transaction, or decision. An investor memo that synthesises snapshot scores with longitudinal trajectory. A technical dossier that deep-dives the architecture. A closure plan that maps the path from current state to exit condition. A pitch deck built from the company's own evidence base.
These documents draw from whatever the fixture contains — public sources, proprietary materials, session observations, temporal data. The richer the fixture, the richer the output. A company with only a snapshot assessment gets a bespoke document built from that data. A company with monitoring history gets trajectory woven through. A company that has been through live sessions gets behavioural evidence integrated.
Bespoke output is where the assessment model meets human consultancy. The system produces the structured analysis. The consultant shapes the deliverable for its audience.
The same assessment engine, running on a schedule — quarterly or monthly — against the same company state file. The system re-researches public sources, detects what changed since the last assessment, and computes trajectory. Score trajectories across all sixteen dimensions. Team departures and arrivals detected automatically. Red flag lifecycle tracking — is the risk being addressed, or has it been a blind spot for two quarters? Evidence decay — which claims are getting stale?
This is a direct extension of the snapshot products. Same generator, same research pipeline, same scoring engine. The new capability is the temporal diff — comparing each new snapshot against the prior one to produce signals that a single-pass assessment cannot: velocity, direction, and whether founders are acting on what was flagged.
The company state file accumulates with every run. At portfolio scale, the accumulated data enables something no competitor can offer: population benchmarks. How does this company compare to the 200 others we've assessed? What does the Dutch deep-tech ecosystem look like across all sixteen dimensions? Which dimensions do accelerator programmes actually move?
Interactive mentoring sessions where the AI system acts as an expert mentor — challenging assumptions, surfacing blind spots, reframing problems, and guiding the founder through evidence discovery. The observation aperture expands to include what no document and no public source can reveal: how a founder responds to a hard question. Whether they integrate new information or deflect. How the gap between their conviction and their evidence evolves when challenged.
Each session is an assessment. The sixteen-dimension framework applies in real time — the same engine, but observing live behaviour instead of static documents. Every session writes to the same company state file that the snapshot and longitudinal products use. The fixture gets categorically richer: coachability trajectory, archetype detection, self-awareness scoring, deflection patterns, homework completion rates. The generators compute from all of it — documents, temporal changes, and behavioural evidence combined.
This is the richest data source — and the one no competitor can access without being in the room.
"Wow, I really didn't expect it to be so powerful. I think I underestimated the power it has. Great product. The Mona Lisa of Internal Knowledge."
— Augustin Petre, CEO, SafeTrace
The system at a glance
Every assessment covers sixteen pillars — from customer evidence and pain specificity to team, moat, and capital efficiency. Nothing is skipped.
Each dimension is graded on a five-level validation scale. The system distinguishes between assumption, anecdote, and proof — and shows exactly what's missing.
Seven independent valuation methods run in parallel — Berkus, Scorecard, Risk Factor Summation, First Chicago, Venture Capital, Comparable Company, and evidence-weighted pillar scoring. Outliers are discarded; the trimmed mean becomes the range.
Five sequential gates determine investment readiness — foundation, positioning, business model, team and moat, and capital strategy. A weak result at any gate blocks progression, regardless of performance elsewhere.
Twenty-two founder archetypes combine into six composite profiles, each with known blind spots and predictable failure patterns. The profile shapes how the assessment interprets what it sees.
Over 500 known structural failure patterns across sixteen categories, screened against every assessment. Tarpits look like good ideas until they aren't — the system flags them early.
Every assessment includes a valuation range with explicit triggers — the specific things that, when proven, move the number up. Not a black box.
One venture or a hundred. The same depth at every scale — without the bottleneck of analyst capacity or the inconsistency of individual judgment.
The ventures worth backing don't always look like it.
The ones that do aren't always worth it.
From the blog